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"Design is where science and art break even."
— Robin Mathew
Principal Product Manager AI/ML Initiatives
Eclinical Solutions • United States of America 🇺🇸
$160,000 - $200,000 Full-time Lead
eClinical Solutions seeks a Principal Product Manager, AI & Innovation to lead AI strategy and execution across their platform, driving innovation and user-centric AI solutions.
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
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
Key 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
- 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
About Eclinical Solutions
eClinical Solutions helps life sciences organizations accelerate clinical development initiatives with expert data services and the elluminate Clinical Data Cloud, providing self-service access to data and advanced analytics.
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