Data and AI Portfolio, Director

Fiserv•Sunnyvale, CA
•$163,200 - $244,800

About The Position

As Director, Data and AI Portfolio, you will own the portfolio that takes Fiserv’s data and AI products from strategy to client value. The portfolio spans two arenas for customer-facing AI as well as Enterprise AI. You will decide where to invest and sequence delivery across cross-functional teams, and partner with go-to-market and solutions teams to turn pilots into production deployments that clients adopt, pay for, and renew. For the most strategic AI engagements, you will serve as a trusted counterpart to client and partner executives. You will lead portfolio decisions across product, engineering, and go-to-market teams; manage the transition of Customer and Enterprise AI use cases from pilot to production; and help shape a reusable platform roadmap. You will also lead strategic client and partner delivery, oversee model and cloud partner dependencies, establish responsible AI as a delivery standard, report portfolio performance to senior leadership, and build a team of portfolio managers and product owners.

Requirements

  • 10+ years in product delivery, portfolio, or program leadership, including 4+ years leading data or AI portfolios and owning prioritization and investment trade-offs.
  • 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 how LLM applications are built and run, 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 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.

Responsibilities

  • Own the data and AI portfolio across product, engineering, and go-to-market teams, deciding what to 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, with exit criteria for 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.
  • 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, including running steering committees, setting expectations, managing escalations, and turning executive feedback into portfolio decisions.
  • Manage delivery dependencies with model and cloud partners, including roadmap alignment, commercial constraints, and third-party risk.
  • Establish responsible AI as 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 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.

Benefits

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