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About the role

  • Leading the Enterprise Product Management team focusing on AI enabled products at Morgan Stanley. Collaborating with technology and governance frameworks for product lifecycle and strategy alignment.

Responsibilities

  • Own the EPM vision, strategy, roadmap, and success metrics, ensuring priorities align to firm and Technology leadership objectives and deliver measurable outcomes across portfolio rationalization, lifecycle management, and investment effectiveness.
  • Evolve the EPM operating model - including roles, processes, artefacts, and decision forums - and establish enterprise governance structures supporting product lifecycle, portfolio health, and investment transparency.
  • Drive enterprise-level visibility into product portfolios, including lifecycle status, risk, technical fitness, and value, in strong partnership with Architecture, Risk, and Finance to inform product strategy, end-of-life decisions, and modernization priorities.
  • Ensure AI products and capabilities are identified, classified, and governed as first-class products, with clear ownership, lifecycle accountability, and alignment to enterprise architecture and strategy.
  • Oversee enablement activities including tooling, data integration, dashboards, and training, ensuring teams are equipped to deliver consistent outcomes.
  • Deliver decision-focused reporting and data-driven insights to senior leadership across portfolio health, AI product ecosystem, and investment priorities.

Requirements

  • At least 8+ years of demonstrated experience leading complex, cross divisional initiatives at enterprise scale.
  • Bachelor's degree or equivalent experience required.
  • Strong executive communication skills with comfort operating at senior leadership and governance levels.
  • Proven ability to drive outcomes through influence in a matrixed organization.
  • Strong judgement balancing strategy, delivery, and pragmatic execution.
  • Data driven mindset with the ability to use insights to shape decisions rather than just report status.
  • Experience using AI enabled tools to improve analysis, communication, and day-to-day productivity, with an understanding of responsible use and enterprise governance constraints.

Benefits

  • Comprehensive employee benefits and perks
  • Opportunities to move across business functions
  • Support for employee and family work-life journey

Job type

Full Time

Experience level

Senior

Salary

Not specified

Degree requirement

Bachelor's Degree

Location requirements

HybridMontrealCanada

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