Data Architect

IN_Senior Associate_PMO (Risk and Engagement Ops)_Data and Analytics_Advisory_Gurugram

Line of Service

Advisory

Industry/Sector

Not Applicable

Specialism

Data, Analytics & AI

Management Level

Senior Associate

Job Description & Summary

At PwC, our people in data and analytics engineering focus on leveraging advanced technologies and techniques to design and develop robust data solutions for clients. They play a crucial role in transforming raw data into actionable insights, enabling informed decision-making and driving business growth.

In data engineering at PwC, you will focus on designing and building data infrastructure and systems to enable efficient data processing and analysis. You will be responsible for developing and implementing data pipelines, data integration, and data transformation solutions.

*Why PWC

At PwC, you will be part of a vibrant community of solvers that leads with trust and creates distinctive outcomes for our clients and communities. This purpose-led and values-driven work, powered by technology in an environment that drives innovation, will enable you to make a tangible impact in the real world. We reward your contributions, support your wellbeing, and offer inclusive benefits, flexibility programmes and mentorship that will help you thrive in work and life. Together, we grow, learn, care, collaborate, and create a future of infinite experiences for each other. Learn more about us.

At PwC, we believe in providing equal employment opportunities, without any discrimination on the grounds of gender, ethnic background, age, disability, marital status, sexual orientation, pregnancy, gender identity or expression, religion or other beliefs, perceived differences and status protected by law. We strive to create an environment where each one of our people can bring their true selves and contribute to their personal growth and the firm’s growth. To enable this, we have zero tolerance for any discrimination and harassment based on the above considerations. "

Job Description & Summary: A career within Data and Analytics services will provide you with the opportunity to help organisations uncover enterprise insights and drive business results using smarter data analytics. We focus on a collection of organisational technology capabilities, including business intelligence, data management, and data assurance that help our clients drive innovation, growth, and change within their organisations in order to keep up with the changing nature of customers and technology. We make impactful decisions by mixing mind and machine to leverage data, understand and navigate risk, and help our clients gain a competitive edge.

Responsibilities:

Experience – 3 to 6+ Years Job Description Key Responsibilities: · Engagement Risk Management: o Serve as a critical liaison between engagement teams and risk/compliance functions to start client engagements. o Track all the Engagements Riks activities in the portfolio · Operational Engagement Support: o Oversee engagement operations including resource planning, Raising invoices o Coordinate with Engagement Manager for creation of Engagement Letters · Compliance & Quality Assurance: o Ensure that engagements comply with internal policies, regulatory requirements, and quality standards. o Assist with internal and external audits related to engagement risk and operations. · Stakeholder Management: o Collaborate with partners, engagement managers, risk team, and other stakeholders to facilitate risk discussions and operational efficiencies. Qualifications and Skills: · Bachelor’s degree in business, Finance, Risk Management, or related field. · 3-6 years of experience in a PMO role focused on risk and engagement operations, preferably within a Big4 or large consulting firm. · Strong understanding of engagement risk management concepts, compliance, and operational governance frameworks. · Proficient in project management tools (e.g., Microsoft Project, JIRA,) and MS Office (Excel, PowerPoint, Word). · Exceptional analytical and problem-solving skills with keen attention to detail. · Excellent communication and interpersonal skills to work effectively with diverse teams and stakeholders. · Ability to manage multiple priorities, work autonomously, and meet deadlines in a fast-paced environment

Mandatory skill sets:

· PMO experience (3–6 years) with focus on engagement operations and risk management · Strong understanding of engagement lifecycle — initiation, resource planning, compliance checks, invoicing · Risk & compliance management expertise (engagement risk reviews, governance tracking) · Operational management skills — tracking activities, coordinating engagement letters, audit readiness · Proficiency with PM tools (Microsoft Project, JIRA) · Strong MS Office skills (Excel analysis, PowerPoint reporting, documentation in Word) · Stakeholder management — effective coordination with engagement managers, partners, and risk teams

· Analytical and problem‑solving skills, attention to detail, ability to manage multiple priorities

Preferred skill sets:

· Experience in Big4 or large consulting PMO environments · Exposure to internal/external audit processes related to engagement risk · Experience in financial/operational processes like invoice management, resource allocation · Familiarity with quality assurance frameworks for engagement governance · Ability to drive operational efficiencies across multiple engagements or portfolios

Years of experience required:

3 to 6 years

Education qualification:

BE, B.Tech, ME, M,Tech, MBA, MCA (60% above)

Education (if blank, degree and/or field of study not specified)

Degrees/Field of Study required: Master of Engineering, Bachelor of Engineering, Master of Business AdministrationDegrees/Field of Study preferred:

Certifications (if blank, certifications not specified)

Required Skills

PMO Development

Optional Skills

Accepting Feedback, Accepting Feedback, Active Listening, Agile Scalability, Amazon Web Services (AWS), Analytical Thinking, Apache Airflow, Apache Hadoop, Azure Data Factory, Communication, Creativity, Data Anonymization, Data Architecture, Database Administration, Database Management System (DBMS), Database Optimization, Database Security Best Practices, Databricks Unified Data Analytics Platform, Data Engineering, Data Engineering Platforms, Data Infrastructure, Data Integration, Data Lake, Data Modeling, Data Pipeline {+ 27 more}

Desired Languages (If blank, desired languages not specified)

Travel Requirements

Not Specified

Available for Work Visa Sponsorship?

No

Government Clearance Required?

No

Job Posting End Date

October 31, 2025

Experience Level

Senior Level