Your day to day

• Lead AI Strategy & Vision Across Product Lines
• Define and champion the cross-product strategy for AI capabilities within the elluminate platform
• Identify use cases where machine learning, NLP, and generative AI can revolutionize data workflows, insights, and automation
• Partner with data science and engineering leads to assess feasibility, define success metrics, and shape responsible implementation approaches
• Stay current on emerging AI technologies, frameworks, and healthcare-specific applications to inform long-term vision.
• Drive Innovation from Concept to Launch
• Lead product discovery and experimentation to validate AI-driven concepts with users and stakeholders
• Define initiative roadmaps, epics, and releases that cut across multiple teams and product areas
• Create compelling product narratives and prototypes that show what the future of clinical data management could look like
• Collaborate with UX to design intuitive and trustworthy user experiences that maximize the value of AI.
• Mentor, Influence, and Inspire
• Coach Product Managers and Product Owners working on AI-related capabilities to ensure aligned execution and shared standards
• Build strong cross-functional relationships with engineering, data science, UX, and commercial teams to scale AI delivery
• Act as a thought leader internally and externally—shaping how we talk about intelligent automation and value-driven AI
• Influence senior stakeholders and executive leadership on the strategic role of AI in the future of our platform.
• Measure Success & Deliver Value
• Define outcome-driven success metrics that go beyond model performance—focused on business impact and user adoption
• Ensure compliance with ethical AI practices, transparency standards, and regulatory considerations relevant to clinical trials
• Constantly iterate on solutions using user feedback and data to refine functionality, design, and performance.
• Establish and maintain frameworks for AI lifecycle management, including drift detection, auditability, and human-in-the-loop feedback systems.

Education & Experience

• Bachelor’s degree in a technical, business, or life sciences field required; advanced degree in AI, Data Science, or Human-Computer Interaction is a plus
• 7–10 years of experience in software product management, including ownership of AI-powered or data-driven solutions
• Demonstrated success integrating ML/AI into B2B software products, ideally in regulated or high-stakes industries
• Experience leading strategic initiatives that span product teams and functional disciplines

Professional Skills

• Creative, visionary thinker with a bias toward experimentation and action
• Skilled at simplifying complexity and telling stories that bring future-state concepts to life
• Comfortable navigating ambiguity and making decisions in emerging technology areas
• Strong communicator who builds trust with technical and non-technical stakeholders alike
• Committed to ethical innovation, responsible AI, and inclusive design principles

Technical & Domain Skills

• Familiarity with applied machine learning, LLMs, MLOps, and AI integration patterns in modern cloud architectures
• Experience working in data-rich domains—ideally healthcare, life sciences, or enterprise analytics platforms
• Understanding of clinical trial workflows, data standards (e.g., CDISC), and relevant regulatory frameworks is a strong plus
• Passion for creating breakthrough user experiences with AI as a partner in decision-making, not just a backend feature