Senior Product Manager - Assurance

Line of Service

Advisory

Industry/Sector

Not Applicable

Specialism

Advisory - Other

Management Level

Senior Manager

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.

Those in data science and machine learning engineering at PwC will focus on leveraging advanced analytics and machine learning techniques to extract insights from large datasets and drive data-driven decision making. You will work on developing predictive models, conducting statistical analysis, and creating data visualisations to solve complex business problems.

Executive Summary

The Assurance Technology team in India has expanded rapidly across US Assurance. To capitalize on this growth and ensure seamless integration with the US Assurance team, we propose establishing a Lead Product Manager role at the Senior Manager level.

This role is essential to lead platform product strategy, strengthen our product ecosystem, and drive continuous delivery by leveraging global time zone advantages. It will empower the India AC team to lead full product lifecycles and contribute significantly to global Assurance initiatives.

Roles and Responsibilities

1. Strategic Product and Platform Leadership
The Lead Product Manager will own and align the product roadmap with the broader vision of the US Assurance team. This includes defining feature prioritization, delivery strategy, and stakeholder alignment. In addition to traditional product leadership, the role will also focus on platform product management—building scalable, reusable components and services that support multiple products.

2. Platform and Infrastructure Ownership
The role will be responsible for driving development of critical internal services including:

• Internal APIs
• Data infrastructure
• Design systems
• Developer tooling
• Other core platform services

By creating reliable, reusable building blocks, the role ensures a cohesive and efficient product ecosystem across teams and geographies.

3. Systems Thinking and Technical Fluency
This role demands the ability to understand how internal platforms integrate across products, teams, and processes. The candidate should be technically fluent—comfortable discussing architecture, APIs, infrastructure, and engineering trade-offs to make informed product decisions.

4. Cross-Functional Collaboration and Stakeholder Management
Success in this role requires:

• Collaborating seamlessly with product, engineering, design, and data teams
• Gathering and synthesizing feedback from multiple internal stakeholders
• Balancing diverse needs and aligning product priorities across the platfor

5. Prioritization and Execution Excellence
The Lead Product Manager will be adept at:

• Prioritizing foundational, long-term investments while addressing short-term needs
• Driving data-informed decisions using internal adoption metrics, performance data, and productivity benchmarks
• Creating clear documentation and enablement materials to increase platform adoption and developer engagement

6. Autonomy and Time Zone Advantage
This role enables the India team to operate with greater autonomy, accelerating decision-making and productivity. It also allows us to leverage the time zone difference for continuous development cycles and round-the-clock progress on global initiatives.

Key Responsibilities

• Define and lead the product and platform roadmap in alignment with US strategies
• Build and scale reusable internal components and services (APIs, infrastructure, tooling)
• Partner across functions to ensure quality delivery and shared product goals
• Drive platform adoption through documentation, training, and internal enablement
• Use data to measure impact and guide iterative improvements
• Position India AC as a core innovation hub within the global Assurance ecosystem

Education: Computer Engineering or related Master's degree

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

Degrees/Field of Study required:

Degrees/Field of Study preferred:

Certifications (if blank, certifications not specified)

Required Skills

Optional Skills

Accepting Feedback, Accepting Feedback, Active Listening, Analytical Thinking, Artificial Intelligence, Big Data, C++ Programming Language, Coaching and Feedback, Communication, Complex Data Analysis, Creativity, Data-Driven Decision Making (DIDM), Data Engineering, Data Lake, Data Mining, Data Modeling, Data Pipeline, Data Quality, Data Science, Data Science Algorithms, Data Science Troubleshooting, Data Science Workflows, Deep Learning, Embracing Change, Emotional Regulation {+ 25 more}

Desired Languages (If blank, desired languages not specified)

Travel Requirements

Up to 20%

Available for Work Visa Sponsorship?

No

Government Clearance Required?

No

Job Posting End Date

July 24, 2025