[Hiring] Senior Director, Innovation and Strategy @UnitedHealth Group

Role Description

As the Senior Director, Innovation and Strategy – Life Sciences within Enterprise Strategy, you will lead the design, packaging, and commercialization of AI solutions across the Life Sciences portfolio. In this role, you will translate advanced artificial intelligence capabilities into market-ready solution offerings, partnering closely with go-to-market, engineering, and operations teams to deliver measurable client value and business growth. You will drive transformative AI technologies for pharmaceutical, biotechnology, and medical technology partners while delivering high-impact outcomes across global health communities.

You’ll enjoy the flexibility to work remotely from anywhere within the U.S. as you take on some tough challenges.

Primary Responsibilities

• Define and manage the AI solutions portfolio and roadmap, ensuring strategic alignment with client needs and enterprise business goals.
• Equip sales and delivery teams with compelling solution narratives, competitive positioning, and support for executive client relationships.
• Partner with engagement leaders to lead client-facing meetings, workshops, and status updates, ensuring technical AI capabilities translate into measurable business value.
• Strategically leverage AI capabilities to solve complex challenges, unlock new commercial opportunities, and deliver tangible business growth.
• Prioritize and translate research outputs and emerging AI capabilities into commercial offerings in collaboration with internal and external partners.
• Develop pricing strategies and commercial guardrails in partnership with operations and finance.
• Build and manage ecosystem relationships with external technology partners and industry collaborators; align with Legal and Compliance on IP, data privacy/security (HIPAA), and commercialization quality.
• Champion the ethical, transparent, and accountable use of AI throughout the product and solution lifecycle.
• Set and track key performance indicators (KPIs) for portfolio growth, profitability, and customer impact.

Qualifications

• 15+ years of experience in strategy, consulting, product delivery, technology transformation, analytics, or AI-enabled solution delivery.
• 10+ years of experience working directly with pharmaceutical, biotechnology, medical technology, or related life sciences organizations.
• 10+ years of experience leading multidisciplinary client engagements from strategy through technical implementation and value realization.
• 8+ years of experience serving as the primary day-to-day client lead for senior stakeholders and navigating delivery risks and executive decisions.
• 5+ 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.
• 5+ years of experience applying AI/ML capabilities, model operations, cloud platforms, data architecture, or productization practices to business or scientific challenges.
• 5+ years of experience navigating data privacy, cybersecurity, regulatory validation, GxP, or responsible AI governance frameworks.
• Ability to travel up to 25-30–40% to client locations.

Preferred Qualifications

• Bachelor’s degree or higher in Business, Life Sciences, Data Science, or a related field; advanced degree.
• Solid understanding of AI tooling/model operations (MLOps), cloud platforms, and productization best practices.
• Deep understanding of HIPAA, data privacy regulations, and intellectual property management within digital health and AI context.
• Experience establishing co-innovation frameworks and joint development agreements with enterprise life sciences clients.

Benefits

• Comprehensive benefits package.
• Incentive and recognition programs.
• Equity stock purchase and 401k contribution (all benefits are subject to eligibility requirements).

Application Deadline

This will be posted for a minimum of 2 business days or until a sufficient candidate pool has been collected. Job posting may come down early due to volume of applicants.