Senior Product Manager; AI Product Discovery & Validation

Senior Contract Product Manager (AI Product Discovery & Validation)

We are currently seeking a Senior Contract Product Manager (AI Product Discovery & Validation) to join us on a 6 month contract here at TIAA.

TIAA Limited is entering an exciting phase in its AI journey. Following a successful Knowledge Transfer Partnership with the University of Essex, we’ve developed a promising AI capability — and now we need to validate whether it can deliver measurable internal value and support a credible external software proposition.

We’re looking for a Senior Contract Product Manager to lead this discovery and validation effort. This is not a typical delivery role. It’s a hands‑on, structured, evidence‑driven product discovery position at the centre of a small, focused product function.

If you thrive in ambiguity, enjoy shaping early product direction, and know how to turn capability into value, this is a rare opportunity to influence a strategic decision:
invest, narrow, partner, pause, or build.

As Senior Contract Product Manager, you will lead the six‑month product discovery and internal validation workstream for TIAA’s emerging AI capability. You’ll work closely with assurance teams, technical colleagues, leadership and a fractional commercial/product strategy lead to determine where AI can meaningfully improve workflows — and whether those use cases can form the basis of a repeatable external proposition.

Product Discovery & Validation

• Run structured discovery with assurance teams to map workflows, pain points and decision points.
• Identify and prioritise 3–5 high‑value internal use cases for AI.
• Define problem statements, hypotheses, acceptance criteria and success measures.
• Validate whether the AI solves real operational problems — not just drives tool usage.
• Maintain a clear discovery log capturing evidence, feedback and decisions.

Internal Deployment & Adoption

• Support controlled internal deployments of priority use cases.
• Translate operational insight into user stories, workflow requirements and product improvements.
• Document measurable value (time, quality, consistency, risk, speed, profitability, client insight).
• Help define “good enough” for operational use, including technical and data readiness.

Roadmap & Product Stewardship

• Own the prioritised backlog for the validation phase.
• Build an evidence‑based roadmap grounded in user value, feasibility and commercial potential.
• Work closely with technical teams to clarify requirements and manage trade‑offs.
• Produce clear artefacts: user stories, workflow maps, prioritisation matrices, value hypotheses.

Commercial & Market Validation

• Support external discovery conversations (5–10).
• Shape early personas, value propositions and market‑facing use case narratives.
• Provide product input into early pricing, packaging and go‑to‑market thinking.
• Assess whether the proposition is repeatable, scalable and commercially meaningful.

Stakeholder Leadership

• Work closely with TIAA leadership, assurance teams and technical resources.
• Provide clear updates for fortnightly working sessions and monthly steering sessions.
• Support decision gates at months 2, 4 and 6 with evidence on value, readiness and viability.

Success is measured by clarity
, not backlog size or superficial adoption. By the end of six months, TIAA should have a confident, evidence‑based view of:

• Which assurance workflows AI can improve
• Where measurable internal value exists
• Which use cases are repeatable and commercial
• What technical and operational constraints matter
• Whether an external product is viable
• What TIAA should do next
• Strong background in B2B SaaS, data products, AI‑enabled tools or regulated services
• Proven product discovery in ambiguous or early‑stage environments
• Ability to translate workflows and insight into clear product requirements
• Comfortable working with technical teams on data, AI and workflow challenges
• Strong stakeholder management, including senior leadership
• Experience with AI/ML/LLMs, data science or assurance/audit/risk technology
• Experience commercialising internal capabilities
• Familiarity with tools like Jira, Linear, Productboard, Pendo, Miro, Figma,…