Senior Associate - Product Owner

Overview

Senior Associate, Product Owner for AI-enabled product capabilities, bridging business stakeholders and engineering/data science teams to translate complex requirements into actionable user stories.

What you'll do

• Lead end-to-end requirement gathering through stakeholder interviews, workshops, and process walkthroughs.
• Manage relationships across business, technology, compliance, and vendor stakeholders; align competing priorities into a coherent product roadmap.
• Author clear, structured requirement documentation (BRDs, functional specs, process flows).
• Translate high-level business requirements into detailed, sprint-ready user stories with well-defined acceptance criteria.
• Own and prioritize the product backlog; partner with Scrum teams through sprint planning, grooming, and UAT.
• Define and validate acceptance criteria in collaboration with QA and engineering.
• Evaluate AI/ML and automation use cases for feasibility, business value, and risk (model accuracy, data quality, explainability, compliance).
• Partner with data science/engineering teams to define training data needs, evaluation metrics, and success criteria for AI features.
• Drive UAT planning, execution, and sign-off with business stakeholders.
• Monitor post-launch performance and iterate based on user feedback and product metrics.

What you'll need

• 8–15 years of experience in Product Ownership, Business Analysis, or Program Management within technology-driven environments.
• Strong hands-on experience with requirement gathering, documentation, and stakeholder management across cross-functional teams.
• Proven ability to translate ambiguous business needs into detailed user stories and acceptance criteria.
• Working knowledge of AI/ML product concepts (LLMs, agentic workflows, automation platforms); technical depth not required, but fluency in AI product trade-offs is expected.
• Experience with Agile/Scrum delivery frameworks (Jira, Confluence, or equivalent).
• Excellent written and verbal communication skills; comfortable presenting to senior stakeholders.

Nice to have

• Experience in Asset Management or broader financial services domain.
• Exposure to automation platforms (e.g., Unqork, Automation Anywhere) or AI agent/LLM-based tooling.
• Certifications such as CSPO, POPM.

Details

• Location: Pune.
• Reports to: Mrinalini Kulkarni.
• Physical requirements: Sedentary work.
• Collaborative in-office environment where teams work across organizational boundaries.