Own complex, enterprise-wide change initiatives that deliver measurable value across affordability, experience, and quality.
Serve as a critical bridge between senior leaders, clinical operations, IT, analytics, and external partners.
Design and lead comprehensive change management strategies for large-scale, enterprise-wide transformation programs.
Own change impact analyses across people, process, and technology dimensions and develop enablement plans that drive adoption at scale.
Lead change champion networks across clinical, operational, and administrative functions to build change capability throughout the organization.
Apply recognized change frameworks (Prosci/ADKAR, Kotter, McKinsey Influence Model) tailored to the health plan context.
Conduct end-to-end value-stream mapping exercises across member, provider, and operational domains to identify opportunities for improvement.
Translate findings into redesigned future-state workflows, operational models, and implementation roadmaps with quantified efficiency impact.
Own program delivery for flagship transformation initiatives, developing integrated project plans, governance structures, and decision frameworks.
Partner with senior leadership to connect organizational objectives and key results to initiative-level metrics.
Requirements
Bachelor's degree in Industrial & Systems Engineering, Business Administration, Healthcare Management, or related field and 8+ years of progressive experience in healthcare transformation, strategy execution, management consulting, or health plan operations.
Master's degree (MBA, MHA, MPH, MS-ISE, or equivalent) from an accredited program preferred.
Certifications valued: PMP, Prosci ADKAR, Lean Six Sigma Black Belt, CPHQ, FACHE, or equivalent.
Advanced proficiency in Excel, PowerPoint; strong working knowledge of Python or R, SQL, and data visualization platforms (Tableau, Power BI).
Demonstrated track record of leading enterprise-wide change management programs, including stakeholder engagement, communications strategy, and adoption measurement for initiatives affecting 500+ employees.
Expert-level process mapping and systems design tools: Lucidchart, Miro, Visio, or equivalent.
Fluency in Agile, Lean, Design Thinking, Systems Engineering, and Program Management frameworks and the judgment to apply the right lens to the right problem.
Familiarity with healthcare data environments: claims, eligibility, clinical, and pharmacy data; experience with interoperability standards (HL7, FHIR) a plus.
Working knowledge of AI/ML application in health plan contexts (risk stratification, care gap identification, NLP for claims) and responsible AI principles.