• Design and own a company-wide AI fluency progression framework that defines clear, role-anchored benchmarks for advanced AI usage across all business levels. • Build and deliver advanced learning experiences and workshops focused on agentic AI, automation design, and multi-step workflows. • Partner with functional leaders across the organization to identify role-specific AI use cases and implement targeted enablement programs to close operational skill gaps. • Establish and maintain scalable public knowledge infrastructure within internal communication platforms to make AI prompts, workflows, and use cases searchable and reusable. • Develop frameworks, toolkits, and standard operating procedures that empower internal teams to independently evaluate and rearchitect their own workflows. • Be a technical thought partner to our People Leadership Team, supporting core People Team workflows across Talent Acquisition, People Business Partners, Learning & Development, Total Rewards, and People Operations to eliminate manual effort and reduce operational latency. • Build systematic AI capabilities within critical functions across the org, establishing durable process standards and playbooks that embed AI into daily operations by default. • Transform traditional performance and development programs into continuous, AI-assisted systems that actively drive a day-to-day coaching culture. • Audit high-volume, high-friction manual workflows across various business functions and lead end-to-end process redesign initiatives to make them fundamentally AI-native. • Partner with executive leaders and People Business Partners to guide organizational design initiatives, evaluating and adjusting team structures to maximize the impact of AI-native workflows.

• If you love working with people just as much as you love engineering smart tech, you’ll fit right in. We’re on the lookout for an AI Consultant to help our clients bridge the gap between AI experimentation and systematic, scaled deployment. • Working under the guidance of a senior architect, you'll design and build intelligent agents using Microsoft’s broader AI stack (including M365 Copilot, AI Builder, and generative actions), extending them into the Power Platform and pro-code services like Azure AI Foundry. • It’s a highly collaborative role where you'll directly build the technical roadmaps that increase our clients' AI maturity.

• Develop and execute expansion strategies within existing Life Sciences customer accounts. • Identify new use cases, business units, therapeutic areas, and stakeholder groups across pharmaceutical, biotechnology, medical device, and research organizations. • Build relationships with senior leaders across R&D, Portfolio Strategy, Business Development & Licensing, Competitive Intelligence, Innovation, Corporate Strategy, and Commercial functions. • Generate qualified expansion pipeline through executive engagement, workshops, industry events, and consultative business discussions. • Drive adoption of data-driven decision-making solutions that improve innovation, competitive positioning, pipeline assessment, and market intelligence capabilities. • Act as a subject matter expert for Data-as-a-Service opportunities across strategic Life Sciences accounts, with particular focus on complex enterprise opportunities and key West Coast deals. • Join active sales cycles to strengthen customer engagement, shape solution strategy, and accelerate deal progression. • Lead executive discovery sessions, value workshops, and strategic account planning activities. • Help account teams navigate complex stakeholder environments and develop compelling business cases tied to measurable business outcomes. • Partner with Account Executives to increase win rates, shorten sales cycles, and expand deal value. • Represent the company as a credible industry expert at Life Sciences conferences, customer forums, webinars, roundtables, and executive events. • Deliver compelling presentations to senior customer audiences on industry trends, competitive intelligence, innovation strategy, AI, data-driven decision making, and emerging Life Sciences market developments. • Contribute to thought leadership content, conference speaking opportunities, and strategic customer engagement programs. • Build a strong external presence that enhances the company’s reputation within the Life Sciences ecosystem. • Operate as a strategic overlay resource supporting multiple Account Executives and territories. • Collaborate with Product, Marketing, Customer Success, and Sales Leadership teams to drive expansion initiatives and market penetration. • Share customer insights and market intelligence to influence product strategy and go-to-market execution. • Support the development of Life Sciences-specific messaging, sales plays, and enablement programs.

• 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. • 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. • 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. • 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. • 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.