Job Title:  Enabling Areas - Information Technology - Deputy Manager - AI Solutions

Deputy Manager – Product Manager (AI Solutions) 

Location - Mumbai, Maharashtra

Role Overview

We’re looking for a Deputy Manager who will own AI product outcomes while leading business analysis across discovery, requirements, and delivery. You’ll translate stakeholder needs into clear product requirements, prioritize backlogs, and guide cross-functional teams (Data Science, Engineering, UX) to ship AI features that are usable, scalable, and responsible.

The Team

You’ll partner with Enabling Area / AI Team to unlock value from data and AI through modern analytics and GenAI capabilities (e.g., RAG, LLM integrations) and strong delivery practices.

Key Responsibilities

• Lead stakeholder interviews, workshops, and process walkthroughs to elicit and document functional/non-functional requirements (BRDs, user stories, acceptance criteria).

• Perform gap analysis, feasibility assessments, and traceability from business goals to product features.

• Shape product vision and roadmap for AI features; prioritize backlogs based on value, feasibility, and risk.

• Run Agile ceremonies (refinement, sprint planning, reviews) and maintain clear release plans and OKRs.

• Translate use cases into LLM/GenAI solutions (e.g., retrieval-augmented generation, prompt engineering, evaluation criteria) with DS/ML engineers.

• Coordinate data availability, model monitoring, and governance (security, privacy, cost/performance) with platform teams.

• Demo increments, validate requirements, and manage UAT with business users; drive adoption and training assets (playbooks, guides).

• Communicate status, risks, and mitigation plans to leadership; support post-launch analysis and continuous improvement.

• Maintain clear artefacts (journey maps, process flows, personas, wireframes) and QA/test plans in partnership with QA leads.

Qualifications

• Education: Bachelor’s degree in Engineering, Technology, or Business; MBA is a plus.

• Experience: Typically, 3–5 years in Product/BA roles.

• Core: Proven requirements management, backlog ownership, and Agile delivery with enterprise stakeholders.

Skills (Must-have)

• Strong BA toolkit (elicitation, analysis, documentation, UAT).

• Product tools (Jira/ADO/Confluence), and proficiency in MS Office for analysis and communication.

• AI literacy: familiarity with LLMs/GenAI concepts, RAG patterns, evaluation/guardrails, and data governance.

• Collaboration across Data Science, Engineering, UX; excellent stakeholder communication.

Preferred Exposure

• Hands-on with prompt design, GenAI evaluation, vector databases, or model lifecycle (training, deployment, monitoring).

• Experience in cloud platforms (AWS/Azure/GCP) and modern data/ML tooling.

Success Metrics (KPIs)

• Requirement lead time (from intake to signed-off user stories), backlog health, and sprint goal attainment.

• Feature adoption (usage, satisfaction), model performance & cost (for AI features), and defect escape rate/UAT pass-rate.

Working Model

Hybrid, with flexibility for stakeholder workshops, demos, and UAT at office/client sites as needed.