Data and AI Portfolio, Director

• Own the data and AI portfolio across product, engineering, and go-to-market teams. Decide what we fund, sequence, and stop, based on client value, revenue potential, platform leverage, and risk.
• Run a stage-gated pilot-to-production model for Customer and Enterprise AI use cases. Each gate has clear exit criteria on accuracy, adoption, unit economics and risk sign-off.
• Partner with Product Management and architecture to shape a reusable platform roadmap covering models, retrieval, agent orchestration, evaluation, and guardrails, so each new use case ships faster than the last.
• Partner with go-to-market and solutions teams on launch readiness, packaging and pricing inputs, deal support, and sales enablement, so what we build is sellable and supportable at scale.
• Serve as the executive delivery lead for strategic client and partner engagements. Run steering committees, set expectations, manage escalations, and turn 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. Every release includes evaluation, human-in-the-loop design, model risk documentation, and compliance review.
• Report portfolio performance to senior leadership with a consistent 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 bar on AI product ownership across the organization.

• 10+ years in product delivery, portfolio, or program leadership. This includes 4+ years leading data or AI portfolios where you owned prioritization and investment trade-offs, not just execution.
• A proven track record of 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 how LLM applications are built and run, including: You can challenge an architecture and a business case with equal confidence in areas including retrieval-augmented generation (RAG), model and prompt strategy, tool use and agent orchestration, evaluation, and guardrails.
• Delivery experience across both Customer AI scenarios 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.

• 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, Azure and with 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.

$163,200.00 - $244,800.00

These pay ranges apply to employees in Sunnyvale, California. Pay ranges for employees in other states may differ.

It is unlawful to discriminate against a prospective employee due to the individual's status as a veteran.

For incentive eligible associates, the successful candidate is eligible for an annual incentive opportunity which may be delivered as a mix of cash bonus and equity awards in the Company's sole discretion.

Thank you for considering employment with Fiserv. Please:

• Apply using your legal name
• Complete the step-by-step profile and attach your resume (either is acceptable, both are preferable).