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. 

This role is a VP-level Product Manager to own and scale a firmwide data product and reporting platform that tracks AI and automation use cases, adoption, and benefit realization. This leader will work closely with Infrastructure and senior stakeholders across the business, Strategy, and Finance to ensure use case data is structured, governed, and translated into actionable insights that improve investment decisions, execution discipline, and measurable business outcomes.

We are looking for a builder who loves to build-someone who can take ideas from concept to execution, turn strategy into scalable products, and create customer-driven solutions that help advance the Firm's AI transformation. The ideal candidate brings product management rigor, strong data instincts, and a hands-on mindset for building platforms, insights, and operating models that improve transparency, accountability, and business impact.

This role combines product management rigor with strong data strategy and analytics capabilities-defining the system of record for AI and automation initiatives and producing executive-ready portfolio insights.

What you’ll do in the role:

• 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.

• Drive data governance and quality, including completeness, consistency, auditability, stewardship processes, and periodic reviews with stakeholders.

• Influence senior stakeholders by turning data into clear narratives-highlighting adoption trends, value delivery, bottlenecks, and decisions required.

• Maintain a customer-driven approach by deeply understanding business needs and translating them into practical, scalable data products. 

What you’ll bring to the role:

• Bachelors 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.

• Customer-driven product approach, with the ability to deeply understand stakeholder needs and translate them into enterprise-grade solutions.

• 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.

Preferred 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.

Expected base pay rates for the role will be between $150,000 and $210,000 per year at the commencement of employment.  However, base pay if hired will be determined on an individualized basis and is only part of the total compensation package, which, depending on the position, may also include commission earnings, incentive compensation, discretionary bonuses, other short and long-term incentive packages, and other Morgan Stanley sponsored benefit programs.