Product Manager- AI and Transformation Strategy

About the role

This is a Lead Technology Admin Office position at the Vice President Level, which is part of the job family responsible for managing administrative tasks related to technology infrastructure and services, ensuring smooth operations and support for the organization's technology needs.

Responsibilities

• Own the product strategy and operating model for tracking firmwide AI and automation use cases, adoption, and benefit realization, including multi-year roadmap and delivery milestones.
• Define and maintain the use case data model and taxonomy, including standard definitions, lifecycle stages, ownership fields, and cross-firm classification to enable consistent reporting.
• Establish a measurement and benefit realization framework for AI and automation initiatives, including usage/adoption, productivity outcomes, risk/control improvements, cost saves/avoidance, and revenue impact where applicable.
• Partner with Infrastructure and data/platform teams to deliver integrations, pipelines, data quality controls, and scalable reporting architecture.
• Lead product management execution: requirements definition, prioritization, stakeholder alignment, backlog management, delivery oversight, and release governance.
• Turn ambiguous ideas, stakeholder needs, and portfolio data into structured product roadmaps, scalable platform capabilities, and executive-ready insights.
• Deliver executive dashboards and portfolio insights that increase transparency, accountability, and prioritization across the Firm's AI and automation portfolio.
• Maintain a customer-driven approach by deeply understanding business needs and translating them into practical, scalable data products.

Requirements

• Bachelor's degree in Computer Science, Engineering, Business or related discipline.
• 6+ years of experience in product management, data strategy, analytics, BI, or related roles within large, complex organizations.
• Demonstrated experience building data products, reporting platforms, dashboards, or portfolio analytics used for enterprise decision-making.
• Proven ability to translate business priorities into product requirements, data models, and measurable reporting frameworks/KPIs.
• Strong builder mindset with demonstrated ability to take ideas from concept to execution, turning strategy into scalable products, data platforms, and customer-facing insights.
• Experience partnering with technology organizations to deliver cross-functional data and reporting solutions.
• Strong stakeholder management skills, with the ability to work across business and technology teams and deliver executive-facing outcomes.
• Strong communication skills, with the ability to synthesize complex data into concise, decision-oriented insights.
• Passion for AI transformation and practical application of AI-enabled tools to improve productivity, decision-making, and business outcomes.
• High ownership and execution orientation, with the ability to shape ambiguous opportunities into structured roadmaps, measurable outcomes, and delivered products.

Qualifications

• Familiarity with AI and automation portfolios, workflow automation, GenAI program governance, or enterprise transformation reporting.
• Experience implementing data governance practices, including taxonomy standards, stewardship, data quality metrics, and control/audit considerations.
• Experience with modern BI and data patterns, including semantic layers, KPI definitions, self-service analytics, and role-based dashboarding.
• Experience building internal platforms, data products, prototypes, automation tools, or AI-enabled workflow solutions is a plus.