Product Director, AI and Data Products – East Coast

Overview

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 search, graph-based insights, workflow automation, and decision support. 

• Prioritise opportunities based on customer value, commercial potential, technical feasibility, regulatory sensitivity, and strategic fit, defining clear outcomes, success metrics, adoption targets, and value hypotheses. 

Customer, Market & Commercial Discovery 

• Interface directly with customers, prospects, partners, industry experts, and internal commercial teams to understand demand for AI-enabled compliance solutions. 

• Evaluate market readiness, willingness to pay, competitive positioning, packaging, and monetisation potential for new AI use cases. 

• Translate market insight into well-structured product requirements, commercial cases, and roadmap recommendations. 

• Develop a strong understanding of how regulated organisations adopt AI, including their governance, explainability, security, and risk management expectations. 

Product Delivery & Execution 

• Partner closely with the Head of Data & AI to move AI product concepts from discovery through delivery, launch, adoption, and continuous improvement. 

• Work with engineering, data science, architecture, security, legal, compliance, customer success, sales, and marketing to deliver production-grade AI capabilities in a regulated B2B SaaS environment. 

• Ensure AI products are explainable, trustworthy, auditable, usable, and aligned with customer workflows — solving real customer problems rather than building technology showcases. 

Cross-Product AI Enablement 

• Collaborate with other Product Managers to identify where AI can enhance existing products and workflows, and to assess value, feasibility, risks, and commercial implications. 

• Create reusable product patterns, discovery approaches, and launch practices for AI features across the platform. 

• Support consistent positioning and governance of AI capabilities across the StarCompliance product portfolio. 

Executive & Cross-Functional Collaboration 

• Communicate AI product strategy, roadmap trade-offs, business cases, delivery progress, and measurable outcomes to senior executives. 

• Partner with the Chief Product Officer, CTO, Head of Data & AI, commercial leadership, and customer-facing teams to align AI investments with business priorities. 

• Represent the AI product roadmap in executive discussions, customer meetings, board-level materials, and strategic planning forums. 

Required Experience & Skills

Product Management 

• Proven success as a Product Manager in B2B software, taking complex products from discovery through launch, adoption, monetisation, and measurable business impact. 

• Strong product discovery skills, including customer interviewing, problem validation, opportunity sizing, experimentation, pricing input, and roadmap prioritisation. 

• Ability to translate ambiguous customer problems into clear product strategies, requirements, and delivery plans. 

• Strong commercial instincts — connecting product investment to customer value, revenue growth, retention, differentiation, and market expansion. 

AI, Data & Technology 

• Established track record delivering or managing B2B AI, data, analytics, automation, or machine learning products. 

• Strong practical understanding of AI product patterns. 

• Comfortable discussing AI product risks — explainability, hallucination, model performance, data quality, privacy, security, auditability, and customer trust — with enough technical fluency to make sound trade-offs without being the technical owner. 

Domain & Market Experience 

• Experience building software for financial services, compliance, regtech, surveillance, risk management, conduct risk, or similarly regulated domains is strongly preferred. 

• Experience with enterprise SaaS products, especially multi-tenant platforms serving sophisticated B2B customers. 

• Understanding of how regulated enterprises evaluate, procure, govern, and adopt AI-enabled software. 

Leadership & Collaboration 

• Excellent cross-functional collaboration skills, with the ability to influence without direct authority across product, engineering, data science, commercial, legal, security, and customer-facing teams. 

• Confident executive presence, communicating clearly with senior leaders, customers, and board-level stakeholders. 

• Highly structured thinker who brings clarity to ambiguous opportunities, with a bias toward action, experimentation, and measurable outcomes. 

Preferred Experience

• Launching commercial AI products or AI-enabled modules in B2B SaaS, and creating new product lines, SKUs, pricing models, or packaging strategies. 

• Working in private equity-backed or high-growth software businesses. 

• Familiarity with compliance workflows — personal account dealing, conflicts of interest, gifts and entertainment, political contributions, conduct risk, or trade surveillance. 

What Success Looks Like 

Within your first 6–12 months, you will have: 

• Established a clear AI product roadmap with strong executive alignment and measurable business outcomes. 

• Validated priority AI use cases with customers, prospects, commercial teams, and delivery partners. 

• Defined new product, SKU, and monetisation opportunities for AI-enabled capabilities. 

• Partnered with the Head of Data & AI to move high-priority AI capabilities into production or advanced delivery. 

• Created a repeatable approach for AI product discovery, validation, launch, and adoption across StarCompliance. 

Leadership Profile 

We are looking for someone who: 

• Combines strategic product vision with strong execution discipline. 

• Understands that successful AI products are built around customer problems, not technology novelty. 

• Operates confidently in ambiguity while bringing structure, focus, and momentum. 

• Is commercially minded, customer-obsessed, and collaborates naturally across product and technology leadership. 

Integrity and Ethics

All StarCompliance employees are expected to commit to a high standard of personal integrity and carry out their responsibilities in an ethical manner.