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Sr. Analyst-Data Management & Governance Qualifications<ul><li>Bachelor’s Degree in related field, Industry Certifications, and/or work experience</li><li>4+ years professional experience preferred</li><li>Ability to collect, synthesize, and interpret information from multiple sources as well as provide easy to understand recommendations</li><li>Experience in Data Governance and Quality Technologies (Informatica, SAP, Collibra, others)</li><li>Experience with Google Cloud Platform (Google Console, GCS, Dataproc, Big Query, Data Studio) required</li><li>Experience with data management, engineering and analysis leveraging data science tools (Alteryx, Tableau, PowerBI or similar) and Scripting Languages (Python, SQL, etc.) required</li><li>Strong experience of continuous improvement, Agile, DevSecOps delivery, and continuous learning required</li><li>Strong knowledge of Cardinal Heath business processes and systems preferred</li><li>Presentation, communication, planning skills experience</li></ul> What is expected of you and others at this level<ul><li>Applies comprehensive knowledge and a thorough understanding of business goals along with technical capabilities to execute varied tasks and projects.</li><li>Plan and execute deliverables independently and in collaboration with/across organizations within timelines.</li><li>Contributes to the development of team policies and procedures.</li><li>Works on complex projects of large scope</li></ul> Share your updated resume now.

Cardinal Health

MIS Analyst

Associate - Data Management Team LeaderAbout this roleAbout this roleThis role sits within Preqin, a part of BlackRock. Preqin plays a key role in how we are revolutionizing private markets data and technology for clients globally, complementing our existing Aladdin technology platform to deliver investment solutions for the whole portfolio.  The individual is responsible for aiding in the future growth and development of the team’s internal and external services as well as assisting with the ongoing development of the team leaders and team members. This is achieved through operational excellence and clear day-to-day maintenance of the dataset &amp; content, including core business-as-usual (BAU) tasks and going above and beyond to collaborate, innovate and execute on relevant ad-hoc projects to improve the accuracy, completeness and timeliness of data. The individual is also responsible for people management to create a high-performing team. Collaboration with the Business Units will be key to achieving the above. Responsibilities:<ul><li>Ensure data collected by the team is of high quality, meets client expectations and is world class in terms of its breadth and depth</li><li>Managing day to day data operations with an aim to create and further operational excellence</li><li>Creating business optimization opportunities through understanding data workflows </li><li>Lead the day-to-day development of the team, ensuring that training is well-executed, protocols are followed, and the team remains engaged and motivated</li><li>Manage vendor operations for the dataset including training and performance management</li><li>Drive data quality (DQ) remediation initiatives by conducting root cause analysis, and impact assessment of changes when there are data quality problems</li><li>Troubleshoot escalated data quality incidents, collaborating with regional stakeholders and/or global BUs as needed and represent and own data to our clients.</li><li>Assist in the communication of KPI reporting requirements for the team to relevant stakeholders to ensure reporting processes, including automated solutions, are accurate and updated in a timely manner when development is required</li><li>Create and Implement data driven innovation (adhoc projects) of products and processes to ensure the accuracy, completeness and timeliness of the dataset remain best in class</li><li>Adhere to, and promoting, the business definitions and documenting transformations of data through data flows</li><li>Create management reports on the overall performance of the underlying teams</li><li>Understand impact and relevancy of data sources and data collection processes available in industry with an aim to improve core data offerings</li><li>Collaborate across sub functional teams to identify further opportunities to improve the core tenet of data services</li><li>Demonstrate subject matter expert (SME) for the dataset, supporting internal (including sales teams) and external (including clients) stakeholders in gaining an understanding of internal processes concerning data management</li><li>Provide support to Research Insights, Product &amp; Marketing Groups, etc., to ensure all related publications and content are delivered according to guidelines and deadlines</li><li>Identify areas of improvement for data management organization globally</li><li>Hiring and Performance Management</li><li>Uphold and encourage adoption of company values and company policies</li></ul> Key Requirements:<ul><li>At least 3-6 years of relevant working experience in financial data services/alternative assets required, with additional 1-2 years of leadership experience in a people management role</li><li>Prior Management and leadership experience is key for the role</li><li>Relevant experience supporting a senior manager is a must</li><li>Proven track record of excellent operational management abilities - exhibiting persistence, patience, and a keen eye for detail within a well-respected data company </li><li>Experience introducing and tracking Key Performance Indicators and other performance metrics</li><li>Hands on, motivational and entrepreneurial leader with the demonstrated professionalism to lead the team</li><li>Prior experience in collaborating across functions to execute on requirements is a must</li><li>Ability and enthusiasm to work as part of a team and independently to achieve business and individual goals </li><li>Proactive approach to identifying and investigating anomalies, as well as a desire develop and rationalize solutions</li><li>Proven Project Management skills including workflow design is preferred</li><li>Strong time management and prioritization skills  </li><li>Demonstrated communications skills with experience working with high level executives.</li><li>Business fluency in English is required</li><li>Education level – Bachelors’ Degree.</li><li>Knowledge of business intelligence systems such as QlikSense/Tableau/Power BI, etc as a consumer to direct teams on valuable reports is a must</li><li>Candidates with the right to work will be prioritized</li></ul>Desired Experience:<ul><li>Project Management certification preferred.</li><li>Organisational design skills are key in order to work with senior management on strategic initiatives.</li><li>Knowledge of techstack and workflow systems is preferred</li><li>Understanding of data lifecycle management from acquisition to data publishing is preferred</li><li>Relevant project experience with outsourcing partners preferred</li><li>Experience in working across cultures and locations and/or in a remote management setup preferred.</li><li>Change Management experience supporting global transitions preferred.</li><li>Technical knowledge (SQL/Python) preferred.</li><li>Prior experience working in or knowledge of the alternative assets industry or Prior expertise within Data Management in financial services preferred</li><li>Experience with various workflow tools such as Alteryx, Salesforce, Outreach, Jira, Office 365, etc</li></ul>Our benefits To help you stay energized, engaged and inspired, we offer a wide range of benefits including a strong retirement plan, tuition reimbursement, comprehensive healthcare, support for working parents and Flexible Time Off (FTO) so you can relax, recharge and be there for the people you care about.Our hybrid work modelBlackRock’s hybrid work model is designed to enable a culture of collaboration and apprenticeship that enriches the experience of our employees, while supporting flexibility for all. Employees are currently required to work at least 4 days in the office per week, with the flexibility to work from home 1 day a week. Some business groups may require more time in the office due to their roles and responsibilities. We remain focused on increasing the impactful moments that arise when we work together in person – aligned with our commitment to performance and innovation. As a new joiner, you can count on this hybrid model to accelerate your learning and onboarding experience here at BlackRock.About BlackRockAt BlackRock, we are all connected by one mission: to help more and more people experience financial well-being.  Our clients, and the people they serve, are saving for retirement, paying for their children’s educations, buying homes and starting businesses. Their investments also help to strengthen the global economy: support businesses small and large; finance infrastructure projects that connect and power cities; and facilitate innovations that drive progress.This mission would not be possible without our smartest investment – the one we make in our employees. It’s why we’re dedicated to creating an environment where our colleagues feel welcomed, valued and supported with networks, benefits and development opportunities to help them thrive.For additional information on BlackRock, please visit <a href="http://careers.blackrock.com/" rel="noopener noreferrer" target="_blank">@blackrock</a> | Twitter: <a href="https://twitter.com/blackrock" rel="noopener noreferrer" target="_blank">@blackrock</a> | LinkedIn: <a href="http://www.linkedin.com/company/blackrock" rel="noopener noreferrer" target="_blank">www.linkedin.com/company/blackrock</a>BlackRock is proud to be an Equal Opportunity Employer.  We evaluate qualified applicants without regard to age, disability, family status, gender identity, race, religion, sex, sexual orientation and other protected attributes at law.<h4>Experience Level</h4>Mid Level

BlackRock Services India Pvt Ltd

MIS Executive

Data Governance Specialist – Collibra We’re looking for experienced Collibra Professionals to play a critical role in designing, implementing, and optimizing data governance processes and solutions, with a strong focus on Collibra Data Catalog (mandatory) and Collibra Data Quality (DQ).Experience: 5+ YearsNotice Period: Immediate to 20 DaysScope: Critical role in designing, implementing, and optimizing data governance processes and solutions, particularly leveraging the Collibra platform – catalogue (mandatory) and DQ. Technical Expertise <ul><li> High level of proficiency in using Collibra Data Catalog for data governance activities, including workflow development and operational model design. </li><li> Expertise in metadata management and implementing metadata cataloging processes to enhance data discoverability, accessibility, and governance. </li><li> Proven experience supporting the design and implementation of data governance frameworks, policies, and procedures that ensure data integrity, security, and regulatory compliance. </li><li> Proficiency in Collibra workflow development, including custom workflow creation and optimization. </li><li> Familiarity with integration architecture to enable seamless interoperability between Collibra and other enterprise systems. </li><li> Collibra Ranger Certification </li><li> Collibra DQ expertise </li><li> Proficiency in Microsoft Office applications, especially Excel, for reporting and data analysis; SQL, HTML </li></ul> Functional Responsibilities <ul><li> Collaborate with cross-functional teams to establish and maintain data stewardship and ownership roles. </li><li> Manage metadata to ensure accuracy, consistency, and accessibility across the enterprise. </li><li> Implement and manage metadata cataloging processes to improve data discoverability and usability. </li><li> Utilize Collibra to drive data governance activities and provide training to teams to enhance adoption and maturity. </li><li> Lead or assist in project management activities related to data governance initiatives, ensuring timely delivery and stakeholder alignment. </li><li> Provide expert guidance and support to metadata stewards, ensuring compliance with governance policies. </li><li> Conduct training sessions, workshops, and demos for various stakeholders, including senior management, to promote data governance awareness and adoption. </li><li> Facilitate technical architecture discussions and provide recommendations aligned with industry best practices and organizational standards.</li></ul> If&nbsp;Interested, Share your CV.

Teamware Solutions

Data Engineer

Data COE - Data Engineer<h4>Job Description</h4>Are You Ready to Make It Happen at Mondelēz International?Join our Mission to Lead the Future of Snacking. Make It With Pride.Together with analytics team leaders you will support our business with excellent data models to uncover trends that can drive long-term business results.How you will contributeYou will: <ul><li>Execute the business analytics agenda in conjunction with analytics team leaders</li><li>Work with best-in-class external partners who leverage analytics tools and processes</li><li>Use models/algorithms to uncover signals/patterns and trends to drive long-term business performance</li><li>Execute the business analytics agenda using a methodical approach that conveys to stakeholders what business analytics will deliver</li></ul>What you will bringA desire to drive your future and accelerate your career and the following experience and knowledge:<ul><li>Using data analysis to make recommendations to analytic leaders</li><li>Understanding in best-in-class analytics practices</li><li>Knowledge of Indicators (KPI's) and scorecards</li><li>Knowledge of BI tools like Tableau, Excel, Alteryx, R, Python, etc. is a plus</li></ul>Are You Ready to Make It Happen at Mondelēz International?Join our Mission to Lead the Future of Snacking. Make It with Pride    In This Role  As a DaaS Data Engineer, you will have the opportunity to design and build scalable, secure, and cost-effective cloud-based data solutions. You will develop and maintain data pipelines to extract, transform, and load data into data warehouses or data lakes, ensuring data quality and validation processes to maintain data accuracy and integrity. You will ensure efficient data storage and retrieval for optimal performance, and collaborate closely with data teams, product owners, and other stakeholders to stay updated with the latest cloud technologies and best practices.   Role &amp; Responsibilities:  <ul><li>Design and Build: Develop and implement scalable, secure, and cost-effective cloud-based data solutions.  </li></ul><ul><li>Manage Data Pipelines: Develop and maintain data pipelines to extract, transform, and load data into data warehouses or data lakes.  </li></ul><ul><li>Ensure Data Quality: Implement data quality and validation processes to ensure data accuracy and integrity.  </li></ul><ul><li>Optimize Data Storage: Ensure efficient data storage and retrieval for optimal performance.  </li></ul><ul><li>Collaborate and Innovate: Work closely with data teams, product owners, and stay updated with the latest cloud technologies and best practices. </li></ul>Technical Requirements:  <ul><li>Programming: Python </li></ul><ul><li>Database: SQL, PL/SQL, Postgres SQL, Bigquery, Stored Procedure / Routines. </li></ul><ul><li>ETL &amp; Integration: AecorSoft, Talend, DBT, Databricks (Optional), Fivetran.  </li></ul><ul><li>Data Warehousing: SCD, Schema Types, Data Mart.  </li></ul><ul><li>Visualization: PowerBI (Optional), Tableau (Optional), Looker.  </li></ul><ul><li>GCP Cloud Services: Big Query, GCS.  </li></ul><ul><li>Supply Chain: IMS + Shipment functional knowledge good to have. </li></ul><ul><li>Supporting Technologies: Erwin, Collibra, Data Governance, Airflow.  </li></ul>Soft Skills:  <ul><li>Problem-Solving: The ability to identify and solve complex data-related challenges.  </li></ul><ul><li>Communication: Effective communication skills to collaborate with Product Owners, analysts, and stakeholders.  </li></ul><ul><li>Analytical Thinking: The capacity to analyze data and draw meaningful insights.  </li></ul><ul><li>Attention to Detail: Meticulousness in data preparation and pipeline development.  </li></ul><ul><li>Adaptability: The ability to stay updated with emerging technologies and trends in the data engineering field.</li></ul>Within Country Relocation support available and for candidates voluntarily moving internationally some minimal support is offered through our Volunteer International Transfer Policy<h4>Business Unit Summary</h4><h4>At Mondelēz International, our purpose is to empower people to snack right by offering the right snack, for the right moment, made the right way. That means delivering a broad range of delicious, high-quality snacks that nourish life's moments, made with sustainable ingredients and packaging that consumers can feel good about.</h4><h4>We have a rich portfolio of strong brands globally and locally including many household names such as Oreo, belVita and LU biscuits; Cadbury Dairy Milk, Milka and Toblerone chocolate; Sour Patch Kids candy and Trident gum. We are proud to hold the top position globally in biscuits, chocolate and candy and the second top position in gum.</h4><h4>Our 80,000 makers and bakers are located in more than 80 countries and we sell our products in over 150 countries around the world. Our people are energized for growth and critical to us living our purpose and values. We are a diverse community that can make things happen—and happen fast.</h4>Mondelēz International is an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, gender, sexual orientation or preference, gender identity, national origin, disability status, protected veteran status, or any other characteristic protected by law.<h4>Job Type</h4>RegularAnalytics &amp; ModellingAnalytics &amp; Data Science<h4>Experience Level</h4>Senior Level

Mondelez International

Oracle Cloud Infrastructure (OCI) - Principal Member of Technical Staff/Solutions Architect - Product Development – Gen AI and AI Solutions EngineeringOracle Cloud Infrastructure blends the speed of a startup with the scale of an enterprise leader. Our Generative AI Solutions team builds advanced AI solutions that run on powerful cloud infrastructure tackling real-world, global challenges. As part of this team, you'll contribute to large-scale cloud solutions utilizing cutting-edge machine learning and Generative AI technologies, aimed at addressing complex global challenges.Join our OCI Gen-AI Solutions team to build cutting-edge AI applications that tackle global challenges. We’re seeking an experienced Principal Machine Learning Engineer (IC4) to design, develop, and deploy customized Generative AI solutions for strategic customers focusing on Agentic solutions and Retrieval Augmented Generation (RAG). You’ll work closely with applied scientists and product managers to turn innovation into real-world impact.In this role, you will:<ul><li>Design, build, and deploy cutting-edge machine learning and generative AI solutions, with a focus on Large Language Models (LLMs), AI agents, Retrieval-Augmented Generation (RAG), and large-scale search.</li><li>Collaborate with scientists, engineers, and product teams to turn complex problems into scalable, cloud-ready AI solutions for enterprises.</li><li>Run experiments, explore new algorithms, and push the boundaries of AI to optimize performance, customer experience, and business outcomes.</li><li>Ensure ethical and responsible AI practices in all solutions.</li></ul>We’re looking for a Principal Machine Learning Engineer with deep expertise in applied ML/AI, hands-on experience building production-grade solutions, and the creativity to innovate at the intersection of AI and enterprise cloud.As part of the OCI Gen AI Solutions Engineering for strategic customers team, you will be responsible for developing innovative Agentic workflows and solutions for our strategic customers. As a Principal member of the technical staff, you'll be part of the development of advanced Gen AI solutions using the latest ML technologies combined with Oracle's cloud expertise. Your work will significantly impact sectors like financial services, telecom, healthcare, and code generation by creating distributed, scalable, high-performance solutions for strategic customers.<ul><li>Work directly with key customers and accompany them on their Gen AI journey – understanding their requirements, help them envision and design and build the right solutions and work together with their ML engineering to remove blockers.</li><li>Design and implement agentic workflows using diverse frameworks, incorporating prompt engineering to optimize performance.</li><li>You will dive deep into model structure to optimize model performance and scalability. </li><li>You will build state of art solutions with brand new technologies in this fast-evolving area. </li><li>You will configure large scale OpenSearch clusters, setting up data ingestion pipelines to get the data into the OpenSearch.</li><li>You will diagnose, troubleshoot, and resolve issues in AI model training and serving. You may also perform other duties as assigned.</li><li>Build re-usable solution patterns and reference solutions / showcases that can apply across multiple customers.</li><li>Be an enthusiastic, self-motivated, and a great collaborator.</li><li>Be our product evangelist - engage directly with customers and partners, participate and present in external events and conferences, etc.</li></ul>Qualifications<ul><li>Bachelor’s or Master’s degree in Computer Science or related technical field, with 10+ years of experience in AI, ML, or data-driven solution development.</li><li>Proven track record designing, building, and deploying scalable AI/ML solutions in production environments.</li><li>Deep expertise in Large Language Models (LLMs), Generative AI, Agentic solutions, and advanced ML techniques (fine-tuning, prompt engineering, model optimization).</li><li>Strong experience with OpenSearch, vector databases, data ingestion pipelines, and large-scale search optimization.</li><li>Skilled in diagnosing, troubleshooting, and resolving issues in AI model training and serving.</li><li>Hands-on experience with MCP, NLP, NLU, RAG architectures, Agents, and modern AI frameworks (e.g., LangChain, LangGraph LlamaIndex).</li><li>Proficient in Python and shell scripting, with familiarity in deep learning frameworks (PyTorch, TensorFlow, JAX, or Transformers).</li><li>Experience with popular model training and serving frameworks like KServe, KubeFlow, Triton etc.</li><li>Excellent communication skills for translating complex technical concepts into clear proposals, designs, and presentations.</li><li>Collaborative mindset with experience working closely with product managers, engineers, and customers.</li><li>Ability to mentor and guide junior data scientists or ML engineers.</li><li>Experience acting as a technical evangelist, presenting at conferences, customer briefings, or industry events.</li></ul>Career Level - IC4As a world leader in cloud solutions, Oracle uses tomorrow’s technology to tackle today’s challenges. We’ve partnered with industry-leaders in almost every sector—and continue to thrive after 40+ years of change by operating with integrity. We know that true innovation starts when everyone is empowered to contribute. That’s why we’re committed to growing an inclusive workforce that promotes opportunities for all.Oracle careers open the door to global opportunities where work-life balance flourishes. We offer competitive benefits based on parity and consistency and support our people with flexible medical, life insurance, and retirement options. We also encourage employees to give back to their communities through our volunteer programs.We’re committed to including people with disabilities at all stages of the employment process. If you require accessibility assistance or accommodation for a disability at any point, let us know by emailing <a href="mailto:accommodation-request_mb@oracle.com" rel="nofollow" target="_blank">accommodation-request_mb@oracle.com</a> or by calling +1 888 404 2494 in the United States. Oracle is an Equal Employment Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability and protected veterans’ status, or any other characteristic protected by law. Oracle will consider for employment qualified applicants with arrest and conviction records pursuant to applicable law. <h4>Experience Level</h4>Senior Level

Oracle India Private Limited

Technical Support Manager

Lead Analytics Consultant | AI/MLAbout this role:Wells Fargo is seeking a Lead Analytics Consultant. In this role, you will:<ul><li>Advise line of business and companywide functions on business strategies based on research of performance metrics, trends in population distributions, and other complex data analysis to maximize profits and asset growth, and minimize operating losses within risk and other operating standards</li><li>Provide influence and leadership in the identification of new tools and methods to analyze data</li><li>Ensure adherence to compliance and legal regulations and policies on all projects managed</li><li>Provide updates on project logs, monthly budget forecasts, monthly newsletters, and operations reviews</li><li>Assist managers in building quarterly and annual plans and forecast future market research needs for business partners supported</li><li>Strategically collaborate and consult with peers, colleagues, and mid-level to senior managers to resolve issues and achieve goals</li><li>Lead projects, teams, or serve as a peer mentor to staff, interns and external contractors</li></ul> Required Qualifications:<ul><li>5+ years of Analytics experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education</li></ul>Desired Qualifications:<ul><li>5+ years of data science experience, or equivalent demonstrated through one or a combination of the following: work experience, training, education.</li><li>Bachelor's degree/ Master's degree or higher in a quantitative discipline such as mathematics, statistics, engineering, physics, economics, or computer science.</li><li>Strong analytical and problem-solving skills with the ability to think strategically and act tactically.</li><li>Proficiency in Python with hands-on experience using libraries such as Scikit-learn, PyTorch, TensorFlow, and Hugging Face Transformers.</li><li>Statistical knowledge - Proven experience in statistical methods like and not limited to Markov Models, Stochastic models, Bayesian Models, Classification Models, Cluster Analysis, Multivariate Stats, Regression Models, Ensemble Techniques</li><li>Exposure to Generative AI, Large Language Models (LLM), Retrieval Augmented Generation (RAG), agentic frameworks (LangChain, PydanticAI, Swarm), Tool use and Model Context Protocol (MCP), and AI/ML techniques</li><li>Experience building and fine-tuning GenAI models using frameworks like LangChain, LlamaIndex, or integrating APIs from OpenAI, Azure OpenAI, or other foundation model providers</li><li>Solid understanding of NLP, deep learning, and data modeling techniques.</li><li>Excellent communication and stakeholder engagement skills.</li><li>Exposure to cloud platforms such as Microsoft Data Lake, Azure, and GCP.</li><li>Experience with both structured and unstructured data, including transactional data.</li><li>Demonstrated experience applying both traditional ML and GenAI in real-world business use cases.</li><li>Experience working with large language models (LLMs) and/or vector databases is a strong advantage.</li><li>Experience working with new Gen AI APIs like Langchain, Langgraph, MCP etc for orchestration</li><li>Experience with Data Ops/ MLOps</li><li>Certifications in AI/ML (e.g., Azure AI Engineer Associate, AWS Machine Learning Specialty)</li><li>Familiarity with cloud platforms (Azure, AWS, GCP) and containerized deployments (Docker, Kubernetes).</li><li>Experience with responsible AI practices, explainability, and AI ethics.</li><li>Previous consulting or client-facing experience, ideally in cross-industry engagements.</li><li>Experience in engaging with both technical and non-technical stakeholders</li><li>Strong consulting experience and background, including engaging directly with clients</li></ul>Posting End Date: 22 Apr 2025*Job posting may come down early due to volume of applicants.<div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div>We Value DiversityAt Wells Fargo, we believe in diversity, equity and inclusion in the workplace; accordingly, we welcome applications for employment from all qualified candidates, regardless of race, color, gender, national origin, religion, age, sexual orientation, gender identity, gender expression, genetic information, individuals with disabilities, pregnancy, marital status, status as a protected veteran or any other status protected by applicable law.Employees support our focus on building strong customer relationships balanced with a strong risk mitigating and compliance-driven culture which firmly establishes those disciplines as critical to the success of our customers and company. They are accountable for execution of all applicable risk programs (Credit, Market, Financial Crimes, Operational, Regulatory Compliance), which includes effectively following and adhering to applicable Wells Fargo policies and procedures, appropriately fulfilling risk and compliance obligations, timely and effective escalation and remediation of issues, and making sound risk decisions. There is emphasis on proactive monitoring, governance, risk identification and escalation, as well as making sound risk decisions commensurate with the business unit’s risk appetite and all risk and compliance program requirements.Candidates applying to job openings posted in US: All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other legally protected characteristic.Candidates applying to job openings posted in Canada: Applications for employment are encouraged from all qualified candidates, including women, persons with disabilities, aboriginal peoples and visible minorities. Accommodation for applicants with disabilities is available upon request in connection with the recruitment process.</div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div>Applicants with DisabilitiesTo request a medical accommodation during the application or interview process, visit <a href='\"https://www.wellsfargojobs.com/en/diversity/disability-inclusion/\"' target='\"_blank\"'>Disability Inclusion at Wells Fargo</a>.Drug and Alcohol Policy Wells Fargo maintains a drug free workplace.  Please see our <a href='\"https://www.wellsfargojobs.com/en/wells-fargo-drug-and-alcohol-policy\"' target='\"_blank\"'>Drug and Alcohol Policy</a> to learn more.Wells Fargo Recruitment and Hiring Requirements:a. Third-Party recordings are prohibited unless authorized by Wells Fargo.b. Wells Fargo requires you to directly represent your own experiences during the recruiting and hiring process.

Wells Fargo India Solutions Pvt Ltd

Lead Generation Specialist

Lead Engineer, Data MigrationMongoDB’s mission is to empower innovators to create, transform, and disrupt industries by unleashing the power of software and data. We enable organizations of all sizes to easily build, scale, and run modern applications by helping them modernize legacy workloads, embrace innovation, and unleash AI. Our industry-leading developer data platform, MongoDB Atlas, is the only globally distributed, multi-cloud database and is available in more than 115 regions across AWS, Google Cloud, and Microsoft Azure. Atlas allows customers to build and run applications anywhere—on premises, or across cloud providers. With offices worldwide and over 175,000 new developers signing up to use MongoDB every month, it’s no wonder that leading organizations, like Samsung and Toyota, trust MongoDB to build next-generation, AI-powered applications.The database market is massive (IDC estimates it to be $121B+ by 2025!) and MongoDB is at the head of its disruption. At MongoDB we are transforming industries and empowering developers to build amazing apps that people use every day. We are the leading modern data platform and the first database provider to IPO in over 20 years. Join our team and be at the forefront of innovation and creativity.MongoDB is building a world-class team in India to create tooling that helps customers migrate their data from legacy relational databases to MongoDB in real-time. As companies modernise their application and data ecosystems, they are increasingly drawn to the flexibility and scalability of the document model.  The tools developed by the Data Migration team are critical in this journey, helping customers with schema modeling, initial data loads, and continuous data synchronization.We are looking for an experienced Lead Software Engineer with a strong background in data streaming products, the Java ecosystem and team leadership. You will lead a talented team building a complex product suite using a modern stack: Java, Spring Boot, Apache Kafka, Debezium, and React. The ideal candidate is a hands-on technical leader who can drive architectural decisions, mentor engineers, and collaborate closely with product management to deliver a product that solves our customers' most challenging data problemsWe are looking to speak to candidates who are based in Gurgaon for our hybrid working model.<h4>The ideal candidate for this role will have</h4><ul><li>8+ years of commercial software development experience with at least one JVM language such as Java, preferably using the Spring ecosystem</li><li>2+ years of experience leading, coaching, and mentoring a team of software engineers to achieve high-impact results</li><li>Extensive product experience in the data streaming or data tooling space, especially with streaming data platforms such as Apache Kafka and Change Data Capture (CDC) tools like Debezium</li><li>Extensive experience with relational and document data modeling and hands-on experience with at least one SQL database (Postgres, MySQL, etc) and at least one document database (e.g. MongoDB)</li><li>Exposure to client-side technologies such as JavaScript and React is a plus</li><li>Good understanding of algorithms, data structures and their time and space complexity</li><li>Curiosity, a positive attitude, and a drive to continue learning</li><li>Excellent verbal and written communication skills</li></ul><h4>Position Expectations</h4><ul><li>Provide technical leadership and mentorship to a team of engineers, fostering a culture of innovation, quality, and continuous improvement</li><li>Drive the architectural vision and long-term technical roadmap for the Data Migration product suite, ensuring it is scalable, reliable, and performant</li><li>Collaborate closely with Product Managers and other stakeholders to define product features and translate business requirements into robust technical designs</li><li>Lead the design and implementation of complex, mission-critical components of our data streaming and migration platform</li><li>Champion and enforce engineering best practices through design reviews, code reviews, and by setting a high standard for quality and operational excellence</li><li>Act as a hands-on leader, guiding the team through complex technical challenges and contributing to the codebase where necessary</li></ul><h4>Success Measures</h4>Within the first three months, you will have:<ul><li>Fully ramped up on our architecture, business domain, and team processes</li><li>Established yourself as the technical leader within the team, actively driving technical discussions, design reviews, and planning for the product roadmap</li><li>Begun mentoring team members and building strong collaborative relationships with your product counterparts</li></ul>Within six months, you will have:<ul><li>Successfully led the team to deliver a major feature or product release</li><li>Made significant contributions to the architectural roadmap and started influencing the technical direction of adjacent teams</li><li>Established a clear rhythm of execution and a high-performing culture within your team</li></ul>Within 12 months, you will have:<ul><li>Become recognized as the go-to technical expert for the data migration domain at MongoDB</li><li>Delivered large-scale features across the entire tech stack that have a measurable impact on our customers and business</li><li>Played a crucial role in recruiting, hiring, and growing the engineering team</li></ul>To drive the personal growth and business impact of our employees, we’re committed to developing a supportive and enriching culture for everyone. <a href="https://www.mongodb.com/company/blog/culture/employee-benefits-that-make-a-difference-at-mongodb">From employee affinity groups, to fertility assistance and a generous parental leave policy</a>, we value our employees’ wellbeing and want to support them along every step of their professional and personal journeys.<a href="https://www.mongodb.com/blog/channel/culture"> Learn more about what it’s like to work at MongoDB</a>, and help us make an impact on the world!MongoDB is committed to providing any necessary accommodations for individuals with disabilities within our application and interview process. To request an accommodation due to a disability, please inform your recruiter.MongoDB is an equal opportunities employer. Req ID - 425574<h4>Experience Level</h4>Senior Level

Mongodb Software India Private Limited

Lead .NET Developer

Azure Data Engineer If you have an experience between 8-13 years into Azure, databricks, Pyspark, snowflake, python, ADF, SQL, Fabric, Synapse. Kindly share your resumePlease note and mention the following in the mail body-1. Total years of experience-2. Official Notice period-3. Current &amp; preferred location-4. Relevant experience into Azure-5. Current CTC (Fixed, Variable)-6. Expected CTC-Looking for those who are serving notice period or upto 30-45 days ONLY.

Fractal Analytics Private Limited

Senior Analyst – Business Analytics & Insights About the roleThe Global sales &amp; revenue analytics team is responsible to upscale the org towards data driven strategic decision making by adding the intelligence layer on top of InMobi’s robust and complex data - to unlock the revenue potential through analytics, storytelling, and go-to-market strategy. This intelligence layer will be consumed towards realizing efficiencies, unlocking productivity, assessing health of each of our global revenue units.This team, your role, in collaboration with Strategy &amp; Operations team (CEO’ office) will be instrumental in ensuring our journey towards intelligent decision making that will drive the organization to achieve its aggressive revenue growth goals. You will be able to create impact across the organization (Data, Systems, Process and People), that has implications on day-to-day business and organizational health metrics. Who you are<ul><li>Analytical: You appreciate a good spreadsheet, are comfortable with big data sets and are meticulous in your metrics. You have a track record of driving actionable insights that result in measurable growth</li><li>A Do-er: You can execute on complex and ambiguous projects with conviction &amp; good judgement and need minimal guidance &amp; direction</li><li>Collaborative by nature: You have experience partnering cross-functionally with Product, Finance, Marketing and HR, amongst other groups. You’re a strong team player and can work effectively with others across time zones in a global set up</li><li>A strategic thinker: You lean on your market experience and commercial instincts to build and drive the company’s growth strategy</li></ul> What will you be doing?<ul><li>Identify key performance metrics and build exec-facing dashboards to track progress of our high priority revenue initiatives.</li><li>Build effective visualisations to communicate data to key decision-makers using data story telling</li><li>Build predictable mechanisms through data science and machine learning models to track revenue, forecast risks and flag any deviations that may lead to the businesses missing their respective goals. In addition to revenue, also build ways to accurately track the hygiene metrics for the revenue units across engagement, retention etc.</li><li>Help with data backed insights to drive medium &amp; long-term strategy for the business and monthly/quarterly planning &amp; review exercises for different revenue units</li><li>Leverage your intellectual curiosity to understand the company’s underlying business and technical challenges and translating them to into long-term leading and lagging performance indicators that are applicable across business units.</li><li>Leverage analytics and actionable insights to partner directly with the GTM leadership on strategic, organizational, and operational initiatives designed to increase revenue, sales productivity, operational efficiency and forecasting accuracy</li><li>Own and deliver ad-hoc strategic projects for key initiatives that could involve building narratives to drive internal conviction and backing them up with data to validate or negate hypotheses that GTM teams would want to test out for potential new revenue levers</li><li>Work closely with sales team to identify the areas of strengths to capitalize on and opportunities that we are lagging behind on to increase the client and thus revenue for our products</li><li>Establish processes and build products that solve for generating intelligent reports and reduce information overdose while focussing on meaningful consumption of insights within the company</li><li>Communicate your findings to cross-functional peers and management</li><li>Independently collaborate with stakeholders and leaders across various Business units, central strategy, product, sales tech, finance, delivery to align on cross-functional processes that support data integrity and governance &amp; keep improving outcomes and efficiency of initiatives being driven within the unit</li><li>Build models to detect anomalies, investigate and resolve data discrepancies between systems.</li><li>Automate whatever you can!</li></ul>&nbsp;What are we looking for?Skills and Attributes:<ul><li>Gain deep knowledge of many facets of the mobile advertising business such as ad operations, creative services, project management, sales efficiency and productivity</li><li>Quickly grasp external and internal ad tech nuance and leverage to meet business growth</li><li>Develop knowledge of all our data sources and quickly be the go-to-person for extracting and analysing data from these sources.</li><li>Proven ability to wrangle large datasets, extracting insights from data, and summarising learnings / takeaways and drive decision making for various business units leaders</li><li>Ability to learn and adapt to new methodologies for data collection and analysis</li><li>Present insights/findings in a structured manner to directly enable tangible outcomes for stakeholders</li><li>Understand critical interdependencies across functions and divisions, and grasp the short and long-term trade-offs of business decisions.</li><li>Demonstrated aptitude toward Data Storytelling and Root Cause Analysis using data</li><li>Experience with Excel and some dashboarding/data visualisation (i. e. PowerBI,&nbsp;Tableau or similar)</li><li>Experience with SQL/R/Python for data analysis</li><li>3+ years of overall work experience within a Tech/Consulting/Analytics industry</li><li>3+ years of relevant management experience in a business analyst, data analyst or statistical analyst role</li><li>3+ years of work experience with SQL/Python/R, Advanced Excel, any data visualisation tool (Tableau or PowerBI)</li><li>Prior experience within the Adtech industry is a plus</li><li>Should have developed and implemented at least 3 analytics solutions (end to end) which includes translating a business problem into a data analytics problem and providing a sustainable solution</li><li>Trustworthy with high integrity, and ability to maintain appropriate confidentiality</li><li>Patience and stamina to translate long term roadmap into wins and milestones for organizational impact</li><li>Execution-driven and results-oriented to ensure strategy translates to outcomes</li><li>Efficient planning and execution</li><li>Project management abilities: ability to manage long-term (multi-month) integrations, set timelines, and independently drive the process forward.</li><li>Ability to deliver on tight timelines and prioritise multiple tasks while maintaining quality and detail</li><li>Plan, prioritise tasks and map stakeholders appropriately</li><li>Excellent written and verbal communication skills</li></ul>

Inmobi Technology Services Pvt Ltd

Business Analyst

Platform Solutions - Enterprise Partnerships - Data Analytics - Vice President - BengaluruPLATFORM SOLUTIONSIn Platform Solutions (PS), we power clients with innovative and customer-centred financial products. We bring the best qualities of a technology player and combine that with the best attributes of a large bank. PS is comprised of four main businesses, underpinned by engineering, operations, and risk management:<ul><li>Transaction Banking, a cash management and payments platform for clients building a corporate treasury system</li><li>Enterprise Partnerships, consumer financial products that companies embed directly within their ecosystems to better serve their end customers</li><li>Merchant Point-of-Sale Lending, a platform that provides custom credit financing for home improvement merchants to offer directly to their customers</li><li>ETF Accelerator, a platform for clients to launch, list and manage exchange-traded funds</li></ul>Join us on our journey to deliver financial products and platforms that prioritize the customer and developer experience.JOB SUMMARY AND RESPONSIBILITIES<ul><li>Vice President, Data Analytics with Goldman Sachs Services Private Limited in Bengaluru, India. </li><li>Perform and oversee advanced data analytics (e.g. machine learning) activities while monitoring portfolio health and identifying opportunities to drive industry leading fraud prevention and exceptional customer experience.</li><li>Own end-to-end transaction fraud strategy: propose rules, manage deployments, track performance, and report KPIs to leadership.</li><li>Leverage advanced modeling techniques to build forecasting and diagnostic tools to understand and explain portfolio performance drivers and recommend improvements.</li><li>Work closely with Business, Product, Technology, Operations, and Compliance teams to implement solutions and improve the performance of the portfolios.</li><li>Manage and resolve escalations from partners and senior executives.</li><li>Identify, document, and improve existing processes in order to maximize efficiency in constantly evolving environments.</li><li>Provide analysis, design strategies for strategic projects and drive end-to-end project delivery.</li><li>Prepare executive presentations and organize team meetings and activities.</li><li>Manage productivity of the direct reports and regularly conduct knowledge sessions with the team while researching and remaining current on the latest industry trends.</li><li>Introduce new data analysis methodologies as well as build rich data capabilities.</li></ul>BASIC QUALIFICATIONS<ul><li>Master’s degree (U.S. or foreign equivalent) in Computer Science, Software or Computer Engineering, Information Technology, or a related field and three (3) years of experience in job offered or in a related Data Analytics role.</li></ul>OR<ul><li>Bachelor’s degree (U.S. or foreign equivalent) in Computer Science, Software or Computer Engineering, Information Technology, or a related field and five (5) years of experience in job offered or in a related Data Analytics role.</li></ul>PREFERRED QUALIFICATIONSPrior work experience must include three (3) year (with a Master’s degree) OR five (5) years (with a Bachelor’s degree) with each of the following:<ul><li>Working in a business analyst and project management role within the financial services sector</li><li>Analyzing data trends, utilizing forecasting methods such as Time Series analysis, and leveraging Machine Learning techniques such as Gradient Boost and Random Forest to perform deep dive and understand drivers and trends. </li><li>Defining functional requirements, service level projects (SLOs), quality-related measurements and scenario-based use cases in support of the product or project management lifecycle.</li><li>Working with desktop platforms and applications, ensuring overall availability, while factoring in upstream or downstream system dependencies.</li></ul>ABOUT GOLDMAN SACHSAt Goldman Sachs, we commit our people, capital and ideas to help our clients, shareholders and the communities we serve to grow. Founded in 1869, we are a leading global investment banking, securities and investment management firm. Headquartered in New York, we maintain offices around the world. We believe who you are makes you better at what you do. We're committed to fostering and advancing diversity and inclusion in our own workplace and beyond by ensuring every individual within our firm has a number of opportunities to grow professionally and personally, from our training and development opportunities and firmwide networks to benefits, wellness and personal finance offerings and mindfulness programs. Learn more about our culture, benefits, and people at GS.com/careers. We’re committed to finding reasonable accommodations for candidates with special needs or disabilities during our recruiting process. Learn more: <a href="https://www.goldmansachs.com/careers/footer/disability-statement.html" rel="nofollow" target="_blank">https://www.goldmansachs.com/careers/footer/disability-statement.html</a>© The Goldman Sachs Group, Inc., 2025. All rights reserved. <h4>Experience Level</h4>Executive Level

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