Director of Advanced Product Management capability development at Mastercard, shaping global strategy for Product Managers. Focusing on evolving mastery from foundational to advanced skills across the organization.
About the role
- Senior Product Manager leading AI/ML transformation for EAII Advisors, delivering AI-powered projects to accelerate poverty reduction in India.
Responsibilities
- Lead the planning, execution and delivery of multiple concurrent ML/AI products from conception to launch: scope definition, requirements gathering and hands-on prototyping through proof-of-concepts and MVPs.
- Drive discovery and prioritization of high-impact use cases, set realistic timelines and budgets, and define technical and non-technical success metrics.
- Lead end-to-end delivery of ML/AI projects by managing external engineering teams, translating validated prototypes into technical specifications and production-grade software.
- Oversee vendor/technical partner selection, contracting, and performance, ensuring timely delivery, quality standards, and risk mitigation.
- Partner with cross-functional program teams, data analysts, field staff, and AI Champions to design AI strategy that balances technical feasibility with organizational ambition and field constraints—positioning pilots for government adoption at scale.
- Build internal capability by enabling operations teams to sustain and scale AI products post-launch.
Requirements
- 5+ years of product management experience, demonstrating a comprehensive understanding of the software development lifecycle from inception to launch and maintenance for production grade software
- Proven experience in technical product management within the ML/AI software development domain
- Best-in-class communication skills, written and verbal
- Bachelor’s degree in computer science or related fields
- Skilled at expectation management and stakeholder navigation
- Deep understanding of AI/ML development, including model training, validation, deployment, monitoring and ongoing risks in low-resource production environments
- Hands-on experience across multiple AI domains: computer vision, NLP/text processing, predictive analytics, geospatial analysis
- Proven track record working with AI/ML service providers, managing contracts, and setting clear expectations with external vendors
Benefits
- Comprehensive health insurance with IPD and OPD provisions
- Life and Accidental insurance
- PF, ESIC and Gratuity as per statutory requirements
- Generous leave
- Mental and physical well-being benefits
- Avenues for engagement and recognition
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
Location requirements
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