Principal Product Manager AI/ML Initiatives
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 Apply tot his job