The Enterprise Transformation Strategist plays a hands-on role in delivering initiatives across benefits design, digital experience, AI adoption, data & analytics, operational redesign, and member & provider journey transformation. This role supports enterprise initiatives by developing project plans, tracking milestones, documenting risks, and preparing executive updates. It involves analyzing workflows, mapping processes, identifying inefficiencies, and proposing solutions grounded in systems engineering principles. The strategist also develops business cases, cost/benefit analyses, and operational models, and prepares dashboards, presentations, and communication artifacts for governance meetings. Additionally, the role supports the development of communication materials, training guides, and readiness assessments, and participates in change champion groups and facilitates small-group sessions. It helps measure adoption, gather user feedback, and refine rollout plans. The strategist assists with mapping current-state member and provider journeys, capturing pain points and handoffs, conducts user interviews, shadows clinical/operational teams, and synthesizes findings into insights. Supports creation of future-state journey designs incorporating digital tools, automation, and human-centered design. Builds service blueprints outlining processes, systems, data flows, and responsibilities. Conducts market scans of benefit trends, supplemental programs, and employer plan innovations. Models financial implications of benefit design changes and analyzes historic utilization patterns. Evaluates pilot programs (e.g., mental health, digital health) through data analysis & feedback. Supports A/B testing and measures impact on member behavior and cost. Partners with IT and vendors to support requirements gathering, user acceptance testing, and workflow design for digital platforms (member portal, provider portal, CRM, analytics tools). Conducts usability testing with members and providers. Tracks adoption metrics and identifies opportunities for optimization. Works with and as a part of analytics teams to develop dashboards, interpret insights, and support predictive modeling use cases (e.g., high-risk identification, care gap prediction). Helps evaluate AI vendors and document decision frameworks. Participates in building responsible AI governance processes and monitoring early AI pilots. Supports planning & readiness activities for the upcoming digital platforms migrations. Helps coordinate cross-functional workstreams, testing cycles, and cutover documentation. Tracks issues, system defects, and dependencies across vendors. Performs related responsibilities as required.
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Job Type
Full-time
Career Level
Mid Level
Number of Employees
5,001-10,000 employees