VP/SVP, Enterprise AI, Innovation and Transformation
OPEN Health · United States · 2 wk ago
RemoteRemoteEngineeringFull-time
Innovation Strategy & Problem Solving
- Identify the highest-value capability gaps across practices and the enterprise, and mobilize Tech Enablement resources and targeted investment to solve them with new technology-enabled solutions.
- Frame ambiguous business problems into solvable opportunities, then drive them from concept through pilot validation, moving ideas from early experimentation to a first working solution.
- Ensure innovation initiatives align with the organization’s broader AI transformation strategy and technology roadmap.
- Own the connection between experimentation and scalable, governed solutions that deliver revenue growth, operational simplification, and enterprise AI adoption.
Innovation & Solution Incubation
- Lead the enterprise innovation capability, including accelerators and incubation programs, to drive structured experimentation and rapid solution development.
- Design and lead innovation accelerators, pilots, and proof-of-concept initiatives that test AI-enabled workflows and new technology-enabled services.
- Define success metrics for pilots and ensure validated concepts transition into scalable enterprise initiatives or product roadmaps.
- Carefully coordinate with Product Delivery and Technology teams to ensure innovations are scalable and operationally viable.
Commercial Partnership & Market Activation
- Partner with Commercial leadership and Practice teams to shape differentiated offerings that leverage AI-enabled capabilities and technology solutions.
- Support the positioning of technology-enabled and AI-driven product and service offerings in client conversations, proposals, and strategic engagements.
- Identify opportunities for new offerings, technology-enabled services, and AI-driven workflow improvements that support business growth.
- Represent OPEN Health’s innovation and AI strategy in external discussions, industry forums, and thought leadership activities.
- Work with commercial and practice teams to translate AI and technology capability into client value, ensuring enterprise transformation is reflected in externally facing product and service offerings.
Enterprise Integration & AI Transformation
- Ensure innovation initiatives connect to enterprise priorities and integrate into broader technology and operating model strategies.
- Bridge grassroots experimentation with scalable enterprise solutions that can be adopted across practice teams.
- Build the pathways for AI-enabled workflows to be adopted within core delivery operations.
- Act as the central coordination point for AI, innovation, and transformation initiatives, working with Operations, People, Commercial, Practice, and Communications teams to translate them into practical, adopted business outcomes.
- Along with the CTO, serve as the central authority for how AI, innovation, and transformation are defined, prioritized, and measured across the enterprise, ensuring local initiatives align to the core strategy.
- Provide direction to AI, innovation, and transformation roles embedded across the organization, to ensure coordinated delivery and consistent standards.
- Establish clear expectations for how distributed teams validate their strategies and plans against enterprise priorities before execution.
Adoption, Value Realization & Change Management
- Own the enterprise AI adoption strategy and its execution in partnership with the Operations and L&D teams, supporting business units in embedding AI into day-to-day workflows.
- Identify, prioritize, and drive AI use cases to completion, maintaining a clear and communicated roadmap of what is in flight, what has been delivered, and what is next.
- Modernize business processes through automation, intelligent workflows, and AI-enabled productivity tools, partnering with IT and business leaders to improve operational effectiveness.
- Develop frameworks and metrics to measure adoption, utilization, and business impact, and report on the value realized from AI investments to the executive team.
- Drive enterprise AI literacy and enablement, partnering with the People Team on learning pathways and scaling the organization’s AI learning and enablement platform.
- Partner with Ops and the People teams to build and manage communities of practice and champion networks, and lead the change management and communication required to support organizational change.
Governance & Responsible AI
- Operationalize the enterprise AI governance framework with Security, Legal, Compliance, Operations, and Technology teams, ensuring ethical, responsible, secure, and compliant deployment that remains practical and business-focused.
- Support the AI Steering Committee and the frameworks for AI policy adoption.
- Monitor AI risk, adoption barriers, and organizational readiness across the enterprise.
Executive Alignment & Strategic Coordination
- Partner with the CTO to maintain alignment across the executive leadership team regarding innovation priorities and AI transformation initiatives.
- Provide structured updates on innovation pipeline progress, pilot outcomes, and strategic impact to executive leadership.
- Ensure innovation investments are targeted toward initiatives with measurable enterprise value, and make the case for reallocation when they are not.
- Support the ongoing evolution of the company’s AI transformation strategy.
Experience, Skills, and Qualifications
- 12+ years of experience in strategy consulting, innovation leadership, technology-enabled transformation, or enterprise strategy roles, with the level and scope of the role calibrated to depth of experience. SVP-level candidates will bring senior leadership of enterprise-scale programs.
- Demonstrated experience leading innovation programs, incubators, or technology-enabled solution development at enterprise scale.
- Proven track record owning enterprise adoption and change management, with the ability to measure and report on the business value of technology investments to executive audiences, and to board audiences at the SVP level.
- Experience establishing and operating AI or technology governance, including policy adoption and responsible-use frameworks.
- Strong ability to connect innovation initiatives to commercial growth and operational impact, and to defend investment priorities with evidence.
- Experience owning cross-functional, enterprise-wide initiatives and working closely with executive leadership teams, operating as a peer to that team at the SVP level.
- Demonstrated ability to lead through influence and dotted-line relationships, aligning distributed teams to a central strategy and standards.
- Excellent communication, facilitation, and stakeholder management skills.
- PREFERRED: Experience within consulting, healthcare, life sciences, or pharmaceutical-related industries.
- FAMILIARITY: With AI-enabled solutions, digital transformation initiatives, or emerging technology programs.
Travel Requirements
- Up to 15%, including international travel as required for speaking engagements, client meetings, workshops, and team collaboration.