Product Director - AEP AI Product

Job responsibilities

• Oversees the product roadmap, vision, development, execution, risk management, and business growth targets
• Leads the entire product life cycle through planning, execution, and future development by continuously adapting, developing new products and methodologies, managing risks, and achieving business targets like cost, features, reusability, and reliability to support growth
• Counsels and mentors the product team on best practices, such as solution generation, market research, storyboarding, mind-mapping, prototyping methods, product adoption strategies, and product delivery, enabling them to effectively deliver on objectives
• Owns product performance and is accountable for investing in enhancements to achieve business objectives
• Monitors market trends, conducts competitive analysis, and identifies opportunities for product differentiation
• Define and drive the AI platform product strategy, roadmap, and adoption plan to embed conversational and agentic artificial intelligence into product delivery at scale
• Establish and operate a responsible AI governance framework covering model standards, prompt practices, data handling, bias controls, monitoring, and auditability
• Collaborates with Legal, Compliance, and Risk partners to align platform capabilities and practices with regulatory expectations
• Create scalable enablement through playbooks, onboarding, and tooling that reduces friction and drives repeatable adoption
• Define success metrics and reporting that connect platform usage to measurable business outcomes, quality improvements, and risk reduction
• Present executive-facing updates that translate technical tradeoffs into clear business cases and risk-aware recommendations

Required qualifications, capabilities and skills

• 8+ years of experience or equivalent expertise delivering products, projects, or technology applications
• Extensive knowledge of the product development life cycle, technical design, and data analytics
• Proven ability to influence the adoption of key product life cycle activities including discovery, ideation, strategic development, requirements definition, and value management
• Experience driving change within organizations and managing stakeholders across multiple functions
• Formal training or certification in product engineering concepts
• 10+ years of applied experience in product management or related fields
• Experience leading enterprise-scale product platforms or shared capabilities with measurable adoption outcomes
• Demonstrated ability to drive cross-functional delivery with Product Owners, engineering, design, and operations partners
• Working knowledge of conversational AI product patterns, including prompt design and evaluation approaches
• Experience establishing governance frameworks for responsible technology use, including controls, monitoring, and auditability
• Strong executive communication skills, including translating technical decisions into clear, business-focused recommendations

Preferred qualifications, capabilities and skills

• Recognized thought leader within a related field
• Experience implementing responsible AI practices in regulated environments with legal and risk stakeholders
• Familiarity with model lifecycle concepts such as testing, monitoring, drift management, and incident response
• Experience designing self-service tooling and onboarding programs that scale enablement across multiple product teams
• Background in modern product operating models, including decision rights, intake management, and outcome-based metrics
• Experience delivering user-centric interfaces that simplify complex workflows for product teams
• Strong problem-solving skills, including defining ambiguous problems, structuring decisions, and driving outcomes under constraints

About the Team

The Digital team is dedicated to creating innovative, industry-leading products and experiences that help customers access, share and control their financial data so they can make smart decisions with their money. Teams enable innovation while adhering to the firm's data sharing principles of security, customer control and convenience, and privacy.