Data and AI Portfolio, Director

Fiserv • Sunnyvale, CA

2d

About The Position

The Director, Data and AI Portfolio owns Fiserv’s data and AI portfolio, taking products from strategy to client value across customer-facing AI and Enterprise AI. The role determines investment priorities and delivery sequencing across cross-functional teams, and partners with go-to-market and solutions teams to turn pilots into production deployments that clients adopt, pay for, and renew. For strategic AI engagements, the Director serves as a trusted counterpart to client and partner executives.

The Director establishes a stage-gated pilot-to-production model with exit criteria for accuracy, adoption, unit economics, and risk approval. In partnership with Product Management and architecture, the role shapes a reusable platform roadmap covering models, retrieval, agent orchestration, evaluation, and guardrails. It also supports launch readiness, packaging and pricing inputs, deal support, and sales enablement; leads strategic client and partner delivery; manages model and cloud partner dependencies; and makes responsible AI a standard across releases.

The role reports portfolio performance to senior leadership using a consistent scorecard and builds and leads a high-performing team of portfolio managers and product owners. The position requires extensive product, portfolio, or program leadership experience, including ownership of data or AI portfolio prioritization and investment trade-offs, and a track record taking LLM-based products or AI agents from pilot to enterprise-scale production.

Requirements

• 10 or more years of experience in product delivery, portfolio, or program leadership.
• At least 4 years leading data or AI portfolios, with ownership of prioritization and investment trade-offs rather than execution alone.
• A proven track record taking LLM-based products or AI agents from pilot to production at enterprise scale, with measurable outcomes in adoption, cost reduction, or revenue.
• Fluency in building and operating LLM applications, including retrieval-augmented generation (RAG), model and prompt strategy, tool use and agent orchestration, evaluation, and guardrails.
• Delivery experience across both Customer AI and Enterprise AI scenarios.
• Demonstrated partnership with go-to-market and solutions teams, including supporting deals, client pilots, and launches for AI or data products.
• Bachelor’s degree or higher in Business Administration, Computer Science, Engineering, Data Science, or a related field, or an equivalent combination of education or experience.

Nice To Haves

• Experience delivering AI in banking, payments, or financial services, including model risk management, third-party risk, and data privacy requirements.
• Experience with enterprise AI platforms such as OpenAI, AWS Bedrock, and Azure, and agent frameworks and protocols such as LangGraph or Model Context Protocol (MCP).
• Experience defining AI product unit economics, including inference cost, cost to serve, and pricing inputs.

Responsibilities

• Own the data and AI portfolio across product, engineering, and go-to-market teams.
• Determine what to fund, sequence, or stop based on client value, revenue potential, platform leverage, and risk.
• Run a stage-gated pilot-to-production model for Customer AI and Enterprise AI use cases, with exit criteria covering accuracy, adoption, unit economics, and risk sign-off.
• Partner with Product Management and architecture to shape a reusable platform roadmap for models, retrieval, agent orchestration, evaluation, and guardrails.
• Partner with go-to-market and solutions teams on launch readiness, packaging and pricing inputs, deal support, and sales enablement.
• Serve as executive delivery lead for strategic client and partner engagements; run steering committees, set expectations, manage escalations, and translate executive feedback into portfolio decisions.
• Manage delivery dependencies with model and cloud partners, including roadmap alignment, commercial constraints, and third-party risk.
• Make responsible AI a delivery standard in partnership with Risk, Compliance, and Legal, ensuring releases include evaluation, human-in-the-loop design, model risk documentation, and compliance review.
• Report portfolio performance to senior leadership using a scorecard covering value delivered, adoption, cost to serve, delivery predictability, and risk.
• Build and lead a high-performing team of portfolio managers and product owners, and raise the standard for AI product ownership across the organization.

Benefits

• Annual incentive opportunity for incentive-eligible associates, potentially delivered as a mix of cash bonus and equity awards at the Company’s discretion.

What This Job Offers

• Job Type: Full-time
• Career Level: Director