Senior Product Manager

Product Manager – AI & Data Science

Location: Bangalore

Role Summary

We are seeking a Product Manager with strong AI & Data Science product experience to drive AI-led innovation across our product portfolio. This is a strategic AI product management role, focused on AI vision, governance, research, and prioritization—not day-to-day delivery or sprint execution.

This PM will work horizontally across product lines, partnering with Product Line PMs and AI/Data Science/CTO engineering teams to ensure we invest in the right AI problems, apply responsible AI principles, and deliver high-impact, scalable AI features.

Key Responsibilities

AI Product Strategy & Roadmap

• Define and own the AI/Data Science product vision aligned to business outcomes.
• Identify and prioritize high-impact AI use cases across business payments network, corporate payment solutions and banking solutions
• Shape a multi‑quarter AI roadmap focused on measurable customer and business impact.

AI Governance & Responsible AI

• Ensure AI initiatives comply with responsible AI principles (privacy, security, explainability, regulatory expectations).
• Establish and run AI intake, prioritization, and review mechanisms with Product Line PMs and engineering.
• Act as the central owner for AI product governance across teams.

Research & Solutioning

• Lead problem discovery and solution research—customer pain points, data readiness, feasibility, and ROI.
• Partner with AI/Data Science engineers to evaluate model approaches, trade-offs, and constraints.

Cross‑functional Leadership (No Sprint Ownership)

• Collaborate with Product Line PMs who own execution and delivery.
• Work closely with AI/Data Science, Data Platforms, Architecture and Legal/Compliance
• Influence priorities through clarity, insight, and impact—without direct authority.

Impact & Measurement

• Define success metrics for AI features (adoption, efficiency, revenue, risk reduction etc.).
• Ensure AI investments deliver real customer and business outcomes, not just technical outputs.

Required Qualifications

• 6–8 years of product management experience with hands-on AI/ML product exposure.
• Proven experience delivering AI-powered enterprise or B2B SaaS products.
• Strong understanding of applied ML concepts, data pipelines, and AI lifecycle.
• Experience working in regulated or complex domains (FinTech, Payments, Banking preferred).
• Strong stakeholder management, structured thinking, and written communication skills.
• Experience operating effectively in matrixed, global organizations.