Senior Associate - Product Owner

Overview

The AI Product Owner drives the definition, prioritization, and delivery of AI-enabled product capabilities, bridging business stakeholders and engineering/data science teams.

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
• Education: University (Degree) preferred
• Experience: 5+ years required; 7+ years preferred