About The Position

eClinical Solutions helps life sciences organizations around the world accelerate clinical development initiatives with expert data services and the elluminate Clinical Data Cloud – the foundation of digital trials. Together, the elluminate platform and digital data services give clients self-service access to all their data from one centralized location plus advanced analytics that help them make smarter, faster business decisions. You will make an impact: At eClinical Solutions, we are building the future of clinical trials through intelligent automation and AI-first design. We’re looking for a bold and outcome-driven Principal Product Manager, AI & Innovation to lead the next wave of transformation across our platform. In this role, you will drive strategy and execution for AI-enabled capabilities that span multiple product lines. You’ll be responsible for identifying high-impact opportunities where AI can unlock new value for our users, crafting bold visions for smarter workflows, and turning those visions into reality through world-class product execution. You’ll collaborate closely with data scientists, engineers, UX designers, and domain experts to deliver innovative, responsible AI solutions that deliver human-centric AI solutions that transform the way clinical teams interact with their data. This role is equal parts strategist, technologist, and builder with high visibility. It is perfect for a modern product leader with a passion for elegant user experiences, deep curiosity about applied AI, and a drive to push the boundaries of what’s possible.

Requirements

  • 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
  • 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
  • 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
  • Passion for creating breakthrough user experiences with AI as a partner in decision-making, not just a backend feature

Nice To Haves

  • Understanding of clinical trial workflows, data standards (e.g., CDISC), and relevant regulatory frameworks is a strong plus

Responsibilities

  • 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.
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