Business Intelligence Manager

Manager - Data Analyst- FDI-Commercial

Manager – FDI

EY – GDS – Consulting – Finance

As a Manager in our EY Finance Consulting Team, you will lead client engagements focused on leveraging finance data intelligence and finance data lake solutions to drive strategic performance improvements. You will manage techno-functional assessments of finance data processes, lead analysis of data challenges, and design innovative, data-driven finance solutions. Your role will involve collaborating with senior client stakeholders across industries and geographies to unlock actionable insights from finance data and enable data-driven decision-making.

The Opportunity

We are seeking an experienced Manager with deep expertise in finance data intelligence, finance data lakes, and finance process optimization. Data & AI Architect with expertise in Finance Data Lakes, Data Virtualization, and Data-as-a-Service (DaaS) to design and deliver scalable, AI-enabled data platforms. Candidates should have strong knowledge of corporate finance processes, ERP systems (SAP, Oracle, etc.), and finance data analytics. Experience in FP&A, Financial Accounting, and Reporting domains is highly desirable. This role offers a unique opportunity to lead and grow EY’s global finance data intelligence service offering.

Your Key Responsibilities

• Lead client engagements and cross-functional teams, managing workstreams, guiding team members, and building strong client relationships to deliver high-quality outcomes
• Lead the design and build of enterprise data lakes and finance data lakes, lead data ingestion, transformation, and model expansion, Integrate GL, subledger, reconciliation, and audit datasets, drive migration from legacy systems
• Implement data virtualization (e.g., Denodo), build Data-as-a-Service platforms, enable self-service analytics and API-based data access
• Enable AI/GenAI-ready datasets, build use cases like automated insights and anomaly detection, support LLM/AI integrations via APIs
• Identify and prioritize finance data process improvement opportunities through automation, data integration, technology upgrades, and finance data transformation initiatives.
• Oversee the implementation and development of finance data lakes, data pipelines, and governance frameworks.
• Data Engineering knowledge, develop ETL/ELT pipelines (Informatica, SQL, Python), Integrate platforms like Databricks, Hive, Greenplum, optimize data pipelines and queries
• Lead design and implementation of KPIs, dashboards, and control frameworks for finance data monitoring and reporting across O2C, P2P, and R2R processes.
• Translate complex business requirements into technical data models and solutions, ensuring alignment with client objectives.
• Lead data profiling, data quality assessments, and validation activities using SQL, Excel, and analytics tools.
• Ensure comprehensive documentation of finance data processes, data models, and project deliverables.
• Collaborate with project managers, cross-functional teams, and senior client stakeholders to ensure successful project delivery.
• Effectively prioritize and manage multiple projects in a fast-paced, high-pressure environment.
• Willingness to travel domestically and internationally as required.

Skills and Attributes for Success

• Proven experience in consulting or finance data intelligence leadership roles.
• Strong leadership and stakeholder management skills with the ability to influence at all organizational levels.
• Excellent communication skills, both verbal and written, with the ability to present complex information clearly.
• Adaptable and able to navigate ambiguity and evolving business environments.
• Collaborative team leader with a focus on driving results and fostering a positive team culture.
• Strong analytical and problem-solving skills with attention to detail.
• Knowledge on AI models and understanding of context of GenAI. ML and Agentic in Finance

To Qualify for the Role, You Must Have

• Bachelor’s degree in Computer Science, Information Technology, Data Engineering, or a related field
• Master’s degree (preferred) in Computer Science, Data Science, AI, or related discipline
• Certifications (Databricks, Azure, GenAI/LLM, Denodo)
• 5-8 years of relevant experience in finance data intelligence, finance analytics, or finance domain.
• Advanced skills in Excel, PowerPoint, and SQL.

What We Look For

• A strategic thinker with commercial acumen, technical expertise, and a passion for continuous learning.
• A leader who thrives in a fast-paced environment and enjoys working with global teams and clients across industries.

What Working at EY Offers

At EY, you will lead impactful projects with some of the world’s top companies. We emphasize education, coaching, and practical experience to support your leadership and professional growth. You will have the autonomy to shape your career with an individual progression plan and take on challenging assignments in an interdisciplinary environment focused on quality and knowledge sharing. Additionally, we offer:

• Support, coaching, and feedback from experienced leaders and colleagues.
• Opportunities to develop new skills and advance your career.
• Flexibility to manage your role in a way that suits you.

 

Experience Level

Mid Level