Mehul Parekh
Enterprise Transformation & Value Strategy Leader | AI-Enabled Operating Models | Driving Measurable Performance
- Role
- Principal Workforce Strategy Consultant (Transformation) at Providence
- Location
- Long Beach, CA, US
- LinkedIn followers
- 500 followers
About Mehul Parekh
I lead enterprise transformation initiatives that redesign operating models, integrate AI-enabled capabilities, and unlock measurable business performance.My work sits at the intersection of strategy, systems, and value realization. I partner with executive and cross-functional leaders to diagnose structural friction across workforce platforms, revenue systems, and operational workflows, then translate those insights into modernization roadmaps, governance frameworks, and performance metrics that drive sustainable impact. Across complex, multi-state environments, I have led enterprise diagnostics spanning tens of millions of annual transactions, quantified large-scale automation and capacity opportunities, and shaped future-state operating models that shift organizations from manual coordination to system-supported, data-informed decision structures. I am particularly focused on how AI, automation, and predictive systems reshape enterprise operating logic. Technology alone does not create value. Value emerges when organizations align structure, governance, and performance measurement around intelligent systems.
Experience
Principal Workforce Strategy Consultant (Transformation)
Dec 2022 — Present
Led enterprise value discovery across workforce, revenue, and operational workflows supporting ~39M documents annually and ~60K DME orders across 136 locations in 5 states- Built executive-level business cases quantifying ~1M caregiver hours in annual capacity opportunity, influencing CEO-level prioritization and funding approvals for automation initiatives- Partnered with executive, product, and IT leaders to define future-state operating models across document intake, revenue qualification, scheduling, and absence management—aligning structure, process, and technology- Translated diagnostic findings into enterprise roadmaps, value narratives, and decision-support frameworks linking modernization efforts to KPIs including efficiency, revenue recovery, and frontline experience- Orchestrated cross-functional alignment across operations, revenue cycle, workforce, and engineering teams to shift from manual coordination to system-enabled, exception-based workflows.
Education
University of California, Riverside
Bachelor of Arts - BA, Religious Studies
2000 — 2005
University of California, Riverside
Bachelor of Arts - BA, Psychology
2000 — 2005
Kansas State University
Master of Science - MS, Industrial and Organizational Psychology
2018 — 2020
UC Irvine
Certificate, Data Analytics
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