Product Management - Senior Manager

Industry/Sector

Not Applicable

Specialism

Software Engineering

Management Level

Senior Manager

Job Description & Summary

The Opportunity

Join our Acceleration Center India and help shape the future of business for our diverse client portfolio across geographies and jurisdictions. You’ll work at the heart of global teams across Advisory, Assurance, Tax and Business Services—solving real client challenges through connected collaboration. We’ll help you grow your skills so you can go further. With hands-on learning, cutting-edge tools and an inclusive culture, this is your opportunity to do inspiring work that makes a difference—every day.

As a Senior Manager in Product Management, you will lead the charge in developing innovative software solutions within our Technology Consulting practice. You will be at the forefront of driving digital transformation and enhancing business performance, using your skills to design, code, and test applications that revolutionize industries and deliver exceptional user experiences. As a Senior Manager, you will leverage your skills and network to deliver quality results, motivating and coaching teams to solve complex problems. You will apply sound judgment, recognizing when to take action and when to escalate, while developing and sustaining high-performing, diverse, and inclusive teams.

In this role at PwC Acceleration Center India, you will focus on strategic advising and problem-solving, crafting and conveying clear, impactful messages that tell a holistic story. You will validate outcomes with clients, share alternative perspectives, and act on client feedback. Your ability to direct teams through complexity, demonstrating composure in challenging situations, will contribute to the success of our firm. This position offers the opportunity to deepen your skills and evolve your professional capabilities, fostering a culture of continuous improvement and innovation.

Responsibilities

- Leading the development and implementation of innovative software solutions to drive digital transformation and enhance business performance
- Guiding teams in strategic planning and execution of software engineering projects to meet client needs
- Utilizing technical proficiency in programming languages such as Java, Python, and C++ to design, code, and test applications
- Collaborating with cross-functional teams to identify and address software development challenges
- Overseeing the deployment of scalable software solutions and confirming their integration with existing systems
- Promoting the use of advanced methodologies like Acceptance Test Driven Development (ATDD) and Continuous Integration/Continuous Delivery (CI/CD)
- Validating software quality through rigorous testing and debugging processes
- Directing teams through complex problem-solving scenarios, demonstrating composure in ambiguous situations
- Applying systems thinking to identify underlying problems and opportunities for improvement
- Crafting and conveying clear, impactful messages that tell a holistic story to stakeholders and clients

What You Must Have

- At least a Bachelor's degree
- At least 12 years of experience
- Oral and written proficiency in English required

What Sets You Apart

- Strong product fundamentals  & product sense — owns a product surface end-to-end: discovery, roadmap, prioritization, launch, iteration.
- Can defend why this problem, this quarter.
- 6+ years in product management, including a zero-to-one product.
- Requirements and stakeholder craft — elicits needs from business and technical stakeholders, writes clear PRDs and acceptance criteria, and manages senior stakeholders and clients with honesty and calibration.
- Hands-on with AI tools in their own workflow — has used AI-assisted tooling to produce working prototypes, wireframes, or internal tools themselves.
- Practical understanding of how AI products behave knows outputs are probabilistic, has thought about how to tell whether a model's answers are actually good, and can talk sensibly about accuracy, cost, latency, and where AI is the wrong tool.
- Data-informed decision-making — defines metrics before building, runs experiments, reads a funnel, and connects product decisions to business outcomes. Good-to-have
- Design and UX instinct — comfortable producing high-fidelity interactive wireframes and reasoning about interaction patterns.
- Domain expertise— financial services, healthcare, energy, manufacturing, public sector.
- Depth in AI evaluation — has built or specified test sets and quality benchmarks for generative &agentic features.
- Technical background — engineering, data, or solution-architecture history; enough code fluency to read a PR and challenge an architecture.
- Demonstrating advanced skills in software engineering and product innovation
- Utilizing AI fluency and AI-human collaboration in strategic advising
- Applying analytical thinking and strategic questioning to solve complex problems
- Leading teams through ambiguity with composure and sound judgment
- Excelling in client management and delivering impactful messages
- Innovating processes with continuous integration and delivery methodologies

Travel Requirements

Not Specified

Job Posting End Date