Vice President, Agentic Product Delivery & AI Tooling
Job Description
Are you ready to shape the future of how products are built? This is your opportunity to lead a high-impact, AI-forward function at the intersection of product strategy, agentic technology, and large-scale delivery transformation — with the resources and reach to make it real.
As a Vice President in the Consumer Branded Card Product team, you will own and evolve the end-to-end agentic product delivery lifecycle, establishing the processes, AI capabilities, and operating model that enable product teams to move from discovery to delivery with greater speed, quality, and consistency. You will lead the evolution of our AI skill ecosystem and drive multi-product, pod-based delivery — bringing product, engineering, architecture, data, and business partners together to accelerate strategic priorities. Your focus will be on improving throughput, reducing friction between lifecycle stages, and creating repeatable AI-enabled ways of working that scale across the organization.
Job responsibilities
- Own the end-to-end agentic product delivery lifecycle, from discovery and requirements definition through solution design, dependency management, development, and delivery
- Define and evolve the operating model, processes, standards, and governance required to embed AI throughout the product development lifecycle
- Own the strategy, roadmap, development, and continuous evolution of AI skills supporting the lifecycle
- Translate recurring product and delivery activities into reusable AI-enabled workflows, skills, and automation that improve speed, quality, and consistency
- Lead multi-product engagement through cross-functional delivery pods, bringing together product, engineering, architecture, data, and business partners to accelerate delivery against strategic priorities
- Partner with product and technology leaders to identify priority use cases and lifecycle friction points where agentic capabilities can materially improve product delivery
- Drive integration and adoption of AI tooling into day-to-day product workflows
- Establish a structured process for identifying, prioritizing, building, testing, releasing, and continuously improving AI skills based on product-team feedback and measurable outcomes
- Define and track lifecycle performance measures, including cycle time, throughput, adoption, quality, rework, and time from discovery to development readiness
- Drive organizational adoption...
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