Growth Product Manager owning Float’s self - serve acquisition and activation experience. Running rapid experiments and new channels for Canadian businesses using Float’s financial operating system.
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
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