Senior Manager, AI Innovation and Strategy - Life Sciences - Remote

Improve the lives of others while Caring. Connecting. Growing together.

Job Description
- Senior Manager, AI Innovation and Strategy
- Life Sciences
- Remote (2386694)

Senior Manager, AI Innovation and Strategy
- Life Sciences
- Remote - 2386694

Optum Insightis improving the flow of health data and information to create a more connected system. We remove friction and drive alignment between care providers and payers, and ultimately consumers. Our deepexpertisein the industry and innovative technology empower us to help organizations reduce costs while improving risk management,quality and revenue growth. Ready to help us deliver results that improve lives? Join us in making healthcare work better for everyone through people-led, responsible AI while Caring.

Connecting. Growing together.

The Senior Manager, AI Innovation and Strategy
- Life Sciences serves as a senior client-delivery leader for complex AI engagements across life sciences. Working directly with pharmaceutical, biotechnology, and medical technology client stakeholders, this leader clarifies critical business, scientific, operational, and technical needs; structures practical approaches to address them; and leads multidisciplinary teams from discovery and solution design through implementation and value realization. This role serves as the day-to-day engagement lead and trusted client advisor, combining solid client leadership, structured problem solving, domain expertise, and artificial intelligence fluency to translate complex requirements into scalable solutions.

You’llenjoy the flexibility to work remotely
* from anywhere within the U.S. as you take on some tough challenges. For all hires in the Minneapolis or Washington, D.C. area, you will be required to work in the office a minimum of four days per week.

• Lead complex AI strategy and solution-delivery engagements for pharmaceutical, biotechnology, medical technology, and related life sciences clients from discovery through implementation and value realization
• Serve as the primary day-to-day client contact and trusted advisor, aligning stakeholders, facilitating decisions, managing expectations, and translating priorities into actionable strategies and delivery plans
• Apply life sciences domain knowledge across R&D, clinical development, clinical operations, medical affairs, pharmacovigilance, regulatory operations, manufacturing, quality, market access, and commercial functions
• Translate complex scientific, operational, data, technical, and regulatory requirements into solution designs, delivery plans, operating models, governance approaches, and adoption strategies
• Develop and adapt innovative methods, accelerators, and solution-delivery approaches to address emerging client needs and complex or recurring life sciences challenges
• Establish and manage engagement governance, success measures, work streams, milestones, decision rights, risk controls, resource plans, and executive reporting
• Provide cross-functional leadership, coaching, and direction to multidisciplinary teams, including engagement managers, consultants, data scientists, engineers, and subject matter experts
• Guide teams in addressing data privacy, cybersecurity, model risk, validation, GxP, and responsible AI considerations throughout solution design and delivery
• Convert successful engagement methods and client use cases into reusable offerings, reference architectures, playbooks, accelerators, and growth enablement assets

• 7+ years of experience in management consulting, technology transformation, analytics, or AI-enabled solution delivery
• 5+ years of experience working directly with pharmaceutical, biotechnology, medical technology, or related life sciences organizations
• 3+ years of experience with a management consulting firm (e.g., McKinsey, Bain, BCG, Deloitte, Accenture Strategy, or equivalent), including responsibility for leading client engagements and delivering executive-level recommendations
• 3+ years of experience independently leading complex, multidisciplinary client engagements from initial discovery through full implementation and value realization
• 3+ years of experience structuring complex scientific, operational, or technical problems into actionable strategic roadmaps and solution designs
• 3+ years of practical experience involved in AI/ML solution delivery, model operations, cloud platforms, data architecture, or productization life cycles
• Willingness and ability to travel up to 30-40% to client…