Data and AI Portfolio, Director

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Data and AI Portfolio, Director

About your role:
As Director, Data and AI Portfolio, you will own the portfolio that takes our data and AI products from strategy to client value. The portfolio spans 2 arenas for customer facing AI as well as Enterprise AI.
You will also partner with go-to-market and solutions teams to turn pilots into production deployments that clients adopt, pay for and renew. On our most strategic AI engagements, you will be a trusted counterpart to client and partner executives.
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.
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.
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: 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.
It is unlawful to discriminate against a prospective employee due to the individuals 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.

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