StarCompliance
Financial Services
ProductDirector,AIandDataProducts
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“Product Director, AI and Data Products at StarCompliance. Skills: AI product strategy, Data product strategy, Product management. Own and evolve product roadmap. Identify new AI-first product opportunities”
What You'll Achieve.
Measurable value for customers; Durable commercial advantage; Measurable business outcomes; New product, SKU, monetisation opportunities; High-priority AI capabilities into production; Repeatable approach for AI product discovery; Repeatable approach for AI product validation; Repeatable approach for AI product launch; Repeatable approach for AI product adoption
Industry & Context.
Problem validation; Opportunity sizing; Translate ambiguous problems; Root cause analysis
What They're Looking For.
Must Have
Proven success as Product Manager, Product discovery skills, Ability to translate ambiguous customer problems, Commercial instincts, Established track record delivering B2B AI products, Practical understanding of AI product patterns, Comfortable discussing AI product risks, Experience building software for regulated domains, Experience with enterprise SaaS products, Understanding of how regulated enterprises evaluate AI software, Excellent cross-functional collaboration skills, Confident executive presence, Highly structured thinker
Nice to Have
Launching commercial AI products, Creating new product lines, Working in private equity-backed businesses, Familiarity with compliance workflows
What You'll Do.
Own and evolve product roadmap
Identify new AI-first product opportunities
Refine and validate product concepts
Prioritise opportunities
Define clear outcomes
Define success metrics
Define adoption targets
Define value hypotheses
Interface directly with customers
Understand demand for AI solutions
Evaluate market readiness
Evaluate willingness to pay
Evaluate competitive positioning
Evaluate monetisation potential
Translate market insight
Develop understanding of AI adoption
Partner closely with Head of Data & AI
Move AI product concepts from discovery
Deliver production-grade AI capabilities
Ensure AI products are explainable
Ensure AI products are trustworthy
Ensure AI products are auditable
Ensure AI products are usable
Solve real customer problems
Collaborate with other Product Managers
Identify where AI can enhance products
Assess value of AI features
Assess feasibility of AI features
Assess risks of AI features
Assess commercial implications of AI features
Create reusable product patterns
Create reusable discovery approaches
Create reusable launch practices
Support consistent positioning of AI capabilities
Support consistent governance of AI capabilities
Communicate AI product strategy
Communicate roadmap trade-offs
Communicate business cases
Communicate delivery progress
Communicate measurable outcomes
Partner with Chief Product Officer
Partner with Head of Data & AI
Partner with commercial leadership
Partner with customer-facing teams
Align AI investments with business priorities
Represent AI product roadmap
Take complex products from discovery
Take complex products through launch
Take complex products through adoption
Take complex products through monetisation
Take complex products through business impact
Validate product concepts
Translate customer problems
Create product strategies
Create delivery plans
Connect product investment to customer value
Connect product investment to revenue growth
Connect product investment to retention
Connect product investment to differentiation
Connect product investment to market expansion
Deliver B2B AI products
Manage B2B AI products
Deliver B2B data products
Manage B2B data products
Deliver B2B analytics products
Manage B2B analytics products
Deliver B2B automation products
Manage B2B automation products
Deliver B2B machine learning products
Manage B2B machine learning products
Discuss AI product risks
Make sound trade-offs
How You'll Work.
Team & Collaboration
Cross-functional collaboration; Cross-functional teams; Engineering teams; Data science teams; Commercial teams; Legal teams; Security teams; Customer-facing teams; Senior executives; Senior leaders; Board-level stakeholders
Communication Scope
Executive presentations; Board-level reporting
Process & Methodology
Roadmap planning, Product roadmap, Delivery plans
Full Job Description
## Description About StarCompliance StarCompliance is a market-leading provider of employee compliance technology, trusted by 350+ global financial institutions and highly regulated organisations to manage regulatory obligations, monitor employee activity, and mitigate risk. Backed by private equity, we are investing in the next generation of our cloud-native, AI-enabled SaaS platform — building a dedicated capability to deliver AI-powered products that create measurable value for customers and durable commercial advantage for the business. The Opportunity We are looking for a Product Director, AI & Data Products to define, validate, and drive the roadmap for AI-first products across the StarCompliance platform. This is a highly strategic and execution-oriented role. You will work hand-in-hand with the Head of Data & AI as the product counterpart to a dedicated technical leader, jointly shaping the future of AI at StarCompliance. Together, you will identify customer problems where AI can materially improve efficiency, effectiveness, decision quality, automation, insight generation, and risk detection. The role spans both new product development and transformation of existing use cases. You will identify new AI-enabled products, SKUs, and commercial opportunities that StarCompliance does not currently support, while partnering with existing Product Managers to embed AI capabilities into their product areas. This role reports to the Chief Product Officer. ## Key Responsibilities AI Product Strategy & Roadmap Own and evolve the product roadmap for AI and data-driven products, ensuring it is ambitious, commercially grounded, and aligned with company strategy. Identify new AI-first product opportunities, including new products, modules, SKUs, and platform capabilities that expand StarCompliance’s value proposition. Refine and validate product concepts that use AI at the core, including generative AI, predictive analytics, intelligent recommendations, semantic searc
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