Note: The job is a remote job and is open to candidates in USA. FICO is a leading analytics and decision management company. The Director of Product Management - Data Intelligence will own the strategy, roadmap, and full product lifecycle for FICO Platform’s real-time data and signal layer, partnering with engineering, architecture, design, marketing, and field teams to deliver data capabilities that support fraud detection, next best actions, and customer decisioning.
Responsibilities
- Own the strategy and roadmap for Data Intelligence within the platform's overall product direction — translate that direction into a sequenced, prioritized plan; make the tradeoffs explicit; and drive alignment on what gets built and when
- Translate market and competitive signals into strategic direction — synthesize customer interviews, analyst input, competitive landscape, and platform capabilities into a cohesive point of view on where the product needs to go and why
- Maintain a prioritized roadmap that balances near-term delivery commitments with long-term vision — communicating direction, changes, and rationale clearly to engineering, design, and leadership
- Author detailed product requirements: PRDs, user stories, acceptance criteria, and functional specifications that engineering can build from and QA can verify against
- Develop working prototypes to validate product concepts, surface UX gaps, and build alignment before engineering investment begins
- Partner with engineering, design, and platform architecture to translate product direction into delivery — and translate engineering constraints back into sound product decisions
- Represent the customer perspective in architecture discussions, ensuring the platform's technical model maps cleanly to how customers actually work
- Define and maintain clear user models — understanding the distinct jobs of data engineers and decisioning subject matter experts, and ensuring the product serves each without requiring cross-domain expertise
- Collaborate with Product Marketing to develop positioning, messaging, and sales enablement materials grounded in accurate product knowledge
- Support field teams — solutions architects, presales, and customer success — with capability explanations, demo narratives, and reference materials
- Contribute directly to customer and prospect conversations where deep product knowledge is required
- Drive go-to-market strategy for new capabilities — define launch criteria, coordinate readiness across product marketing, enablement, and customer success, and own the narrative that makes new capabilities land with the right customers at the right time
- Track product adoption, usage patterns, and customer feedback; translate signals into prioritized roadmap recommendations
- Maintain a continuous discovery practice — conduct regular customer and user interviews, test assumptions early, and bring user evidence into roadmap and requirements decisions
- Identify and escalate risks to roadmap goals; provide regular status and forecast updates to leadership
Skills
- 10+ years of product management experience, with several years' experience in SaaS or PaaS in enterprise software/platforms. Repeated success taking products through all stages of the lifecycle — from initial discovery through general availability and ongoing iteration
- Hands-on experience with user-configurable and user-managed real-time data products — high-throughput, low-latency data pipelines, event-driven or streaming architectures, or feature stores. You understand the engineering tradeoffs and can speak to them credibly
- Experience with decisioning systems, business rules platforms, or decision intelligence — you understand how data and signals connect to automated decision logic
- Financial services domain experience (fraud, customer management, credit risk, and/or collections)
- Strong enough technical depth to engage with platform architects and data engineers as a peer — you can read a data model, understand an API, and reason about schema and pipeline design
- Equally strong ability to translate that depth into simple, user-focused product experiences — you know when technical detail helps the user and when it gets in the way
- Comfort using data analysis to validate assumptions, size problems, and measure product outcomes
- Exceptional written communication — you write PRDs that engineers build from with confidence, slides that a C-suite audience understands in 90 seconds, and emails that move stalled decisions forward
- Strong verbal communication and facilitation — you run effective alignment meetings and make complex tradeoffs legible to cross-functional stakeholders
- Highly organized — you manage multiple workstreams, track open decisions, and follow through without dropping threads
- Strong stakeholder management — able to influence without authority, comfortable collaborating with executive level stakeholders, and drive decisions forward across functions where you hold no direct control
- You have meaningfully changed how you work because of AI — not as a novelty, but as a durable shift in daily practice
- Specifically: you use AI for data analysis and synthesis, producing documentation and requirements at higher speed and quality, and building working prototypes to validate product ideas before engineering picks them up
- Proven expertise in real-time data capabilities
- Bachelor's or Master's degree in a technical or quantitative field
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