Overview
Senior Associate, Data Product Manager in PwC's Advisory line of service (Data, Analytics & AI specialism), owning the product backlog and delivery of data and analytics products.
What you'll do
- Own and manage the product backlog, including prioritization, refinement, grooming, and readiness for sprint execution.
- Lead backlog refinement and sprint grooming sessions, ensuring stories are well-defined, sized, and aligned to business outcomes.
- Partner with Engineering to commit to sprint goals, balancing new feature delivery, Run-the-Business (RTB) work, and production support.
- Continuously evaluate trade-offs across scope, urgency, risk, and value to inform sprint and release decisions.
- Help in testing, wireframing and drive UAT.
- Act as a customer advocate, translating business needs into scalable solutions.
- Define and document product requirements, user stories, acceptance criteria, and functional designs.
- Partner with Engineering, QA, and Business teams on delivery, UAT, defect triage, and release readiness.
- Support business-led pilots and POCs, including gathering requirements, sharing product inputs, and planning any related UI or workflow changes.
- Own admin tool queries, bugs, and feature enhancements, ensuring tooling supports operational efficiency.
- Produce and maintain system documentation, data flows, and functional artifacts.
- Support service management activities, including incident triage, change management, and release coordination.
- Communicate clearly with Business, Engineering, Operations, and Leadership stakeholders.
- Use data and structured reasoning to negotiate priorities, manage expectations, and align on delivery plans.
- Take end-to-end ownership to identify issues, assess impact, mobilize resources, and drive resolution.
What you'll need
- 4-7 years of IT experience, with 4+ years as a Product Manager.
- Proven ability to write clear user stories, functional requirements, and acceptance criteria.
- Excellent communication, problem-solving, and stakeholder management skills.
- Ability to thrive in a fast-paced environment with competing priorities and evolving requirements.
- Education: B.Tech / B.E.
- Mandatory skill sets: SQL, Product management, Wireframing, BRD, FRD, Adoption and enablement.
- Required skill: Generative AI.
Nice to have
- Familiarity with Jira, Confluence, or similar tools.
- Experience balancing feature delivery with RTB and production support work.
- Preferred skill set: AI.
Details
- Location: Bengaluru Millenia.
- Education qualification listed as B.Tech/MCA/BCA/M.tech; degrees required: Bachelor of Engineering, Master of Engineering.
- Visa sponsorship: No.
- Government clearance required: No.
- Job posting end date: September 18, 2026.
Read the full description and apply on the company’s own careers page.