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Job Description
The Senior Director, AI Product Manager is responsible for setting the strategy for the firm’s portfolio of enterprise AI products, including reusable AI models and agents that power multiple downstream business and functional experiences. This role leads a team of AI Product Managers and serves as the senior product authority for AI-as-a-product across the firm - from ideation and discovery through launch, adoption, and ongoing optimization.
Building on deep hands-on experience in AI product management, this leader ensures that AI products are designed as scalable, reusable capabilities rather than one-off solutions. The role translates firmwide business strategy into a cohesive AI product roadmap, defines success metrics for AI value creation, and ensures consistent application of responsible AI practices and regulatory expectations across the AI product portfolio. This role treats AI itself as the product - owning shared AI models and agent's capabilities that are consumed across multiple products and platforms.
Sitting within the AI, Data, and Emerging Technology Lab inside EJ Labs, the Senior Director of AI Product Manager partners closely with senior leaders across Engineering, Data, Product Management, Experience, Risk, Compliance, and Business and Functional areas. This role acts as a connector across the full AI product lifecycle, while also serving as a people leader -coaching, developing, and scaling high-performing AI Product Managers to deliver measurable business impact.
What you'll do:
Building on deep hands-on experience in AI product management, this leader ensures that AI products are designed as scalable, reusable capabilities rather than one-off solutions. The role translates firmwide business strategy into a cohesive AI product roadmap, defines success metrics for AI value creation, and ensures consistent application of responsible AI practices and regulatory expectations across the AI product portfolio. This role treats AI itself as the product - owning shared AI models and agent's capabilities that are consumed across multiple products and platforms.
Sitting within the AI, Data, and Emerging Technology Lab inside EJ Labs, the Senior Director of AI Product Manager partners closely with senior leaders across Engineering, Data, Product Management, Experience, Risk, Compliance, and Business and Functional areas. This role acts as a connector across the full AI product lifecycle, while also serving as a people leader -coaching, developing, and scaling high-performing AI Product Managers to deliver measurable business impact.
What you'll do:
- Set the enterprise vision and strategy for AI products, including reusable AI models and agents, aligning AI capabilities to firmwide priorities and business outcomes.
- Lead, coach, and develop a team of AI Product Managers, establishing clear standards for discovery, delivery, value measurement, and lifecycle management.
- Translate complex business needs into clear, actionable technical and product requirements for enterprise AI products and shared AI capabilities.
- Oversee product discovery, validation, and prioritization across the AI product portfolio, ensuring consistent application of hypothesis-driven and outcome-oriented practices.
- Define and govern success metrics for AI models and agents, including performance, adoption, reusability, scalability, and business impact.
- Ensure responsible AI practices, risk management, and regulatory compliance are embedded throughout the AI product lifecycle.
- Partner with Business and Functional leaders to identify high-value AI opportunities and expand the art of the possible for AI-enabled transformation.
- Collaborate with Engineering, Data, Experience, and Product Management leaders to ensure AI products are reliable, explainable, secure, and easily integrated into downstream systems.
- Communicate AI product strategy, progress, risks, and outcomes to senior stakeholders and executive leadership.
- Shape and maintain AI product roadmaps, themes, initiatives, epics, and user stories in alignment with enterprise priorities.
- Guide lifecycle ownership of AI models and agents, including versioning, monitoring, retraining strategies, and continuous improvement.
- Ensure AI models and agents are designed for reuse across low-code agents, mini applications, applets, and internal tooling.
- Support portfolio-level resource planning, dependency management, and risk mitigation across multiple AI product teams.
- Partner closely with Digital Product Management leaders to ensure shared AI capabilities meet downstream product needs and drive adoption at scale.
- Stay current on emerging AI trends, technologies, and regulatory developments, translating insights into product strategy and capability evolution.