Innovation Product Strategist

About the role

We are seeking a Product Strategist to accelerate the delivery, quality, and adoption of a GenAI-native platform for the financial services industry. This is a hands-on, high-ownership opportunity where you’ll help bring a 0-to-1 product vision to life—turning new capabilities into real workflows that teams can trust and adopt.

Responsibilities

• Own and govern a prioritized feature portfolio—making tradeoffs explicit and keeping delivery focused
• Translate problem statements into crisp requirements (user stories, acceptance criteria, edge cases) for design and engineering
• Partner with product leadership to continuously refine prioritization based on customer feedback, delivery learnings, and risk
• Maintain and communicate the roadmap, ensuring dependencies, milestones, and release readiness are visible
• Agile Delivery & Sprint Support: Drive sprint planning, backlog refinement, and release readiness to keep teams shipping predictably
• Coordinate UAT and rollout validation, ensuring what we ship meets user expectations and operational constraints
• Enablement & Adoption Support: User and client onboarding, ensuring teams reach value quickly and consistently
• Contribute to training materials, release notes, and documentation that scale product understanding
• Build and maintain a living knowledge base (workflows, FAQs, decisions) that reduces friction for users and internal teams
• Data & Knowledge Assets: Support data creation and preparation activities that improve model performance and product reliability
• Create and curate structured knowledge assets that power GenAI experiences (taxonomy, reference data, examples)

Requirements

• 5+ years in product operations, business analysis, or delivery support within financial services operations and/or data operations (e.g., ETL, reconciliations, data quality, file-based processing)
• Hands-on experience in agile delivery (sprint planning, backlog refinement, demos, retrospectives)
• Excellent written communication and documentation skills (requirements, workflows, test artifacts)
• Comfort collaborating with both technical and non-technical stakeholders; able to translate between business outcomes and implementation details
• An analytical mindset and strong attention to detail; able to spot gaps, risks, and inconsistencies before they become defects
• Strong stakeholder management—you can say “no” (or “not yet”) diplomatically while maintaining trust and momentum
• Comfort with ambiguity—requirements evolve; you create clarity rather than wait for it
• Customer empathy—genuine curiosity about user needs and workflows, not just managing a backlog

Nice to have

• Exposure to AI, analytics, or data-driven products (GenAI use cases, ML features, dashboards, experimentation)
• Understanding of financial messaging and data exchange patterns (e.g., SWIFT, file transfers via FTP/SFTP)
• Familiarity with capital markets data domains and platforms (e.g., ABOR/IBOR)
• Exposure to testing/QA practices (test cases, UAT support, defect triage)