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Salary: USD 202,400 - 290,950 / annual
Omada Health is seeking a Senior Director to lead the Capacity Planning, Workforce Operations & Analytics department as it scales into a world-class, human-led and AI-enabled operations function supporting Omada's multi-condition virtual care platform. This includes Health Coaching, Cardiometabolic Specialists, Physical Activity Specialists, Behavioral Health, Physical Therapy, Member Support, Member Navigation, and Supply Chain.
Reporting to the VP Operational Excellence, you will own end-to-end department strategy and execution, translating enterprise and care team goals into clear priorities and operating systems. Key responsibilities include:
**Operating Vision & Strategy**: Define and maintain the department as the "operational brain and data engine" for care teams. Translate company and care team strategies into a concrete 1–3 year departmental strategy covering capacity planning, workforce staffing operations, licensing and credential management, and care team analytics/AI enablement.
**Operating System Design**: Own and evolve operating rhythms, standards, and visibility systems (forecasting cadences, scheduling, intraday management, department business reviews, data dashboards). Create and maintain scalable rules for shrinkage, occupancy, and staffing allocation that reduce variation, enable predictable quality, and tie operational decisions directly to cost of revenue and gross margin outcomes.
**Capacity Planning & Staffing Operations**: Own capacity planning and staffing models supporting multiple care team functions, ensuring accurate, efficient coverage at sustainable cost-to-serve. Build new capabilities including Physical Therapy state-based capacity planning and staffing, integrating licensure and credential constraints into state-level supply planning and staffing decisions.
**Licensing & Credential Management**: Oversee system administration for third-party licensing and credentialing management software. Ensure credential status is accurate, compliant, and embedded into capacity and staffing decisions. Partner with Clinical, Legal/Compliance, and People teams to build workflows, controls, and data integrations that reduce regulatory risk while enabling flexible, efficient deployment of care team capacity across states.
**Analytics & AI Transformation**: Lead care team analytics as an analytics "spoke," elevating existing analytics into an AI-enabled function that supports operational excellence, experimentation, and strategic decision making. Own the AI transformation agenda including predictive models for demand and supply, gross margin impact modeling, and integration of AI/ML into dashboards and decision tools in partnership with Applied AI and central Data/Analytics.
**Strategic Advisory**: Serve as a trusted advisor to senior leaders on capacity planning, staffing, licensing, credentialing, and analytics strategy, influencing Long Range Plan, new care models, and enterprise transformation initiatives. Lead cross-functional initiatives connecting departmental workstreams to broader company priorities.
**Continuous Improvement**: Lead large-scale initiatives delivering measurable cost of revenue efficiency gains, reducing manual operating overhead, and improving forecasting and staffing accuracy through process redesign and AI-enabled automation. Use value stream mapping and risk assessment frameworks to identify and mitigate risks across department functions.
**Requirements:**
- Approximately 15+ years of relevant and progressive leadership experience in healthcare operations, care delivery operations, workforce management, or analytics with a bachelor's degree (or roughly 12+ years with a master's, 10+ with a PhD), including significant leadership at the Director or equivalent level.
- Deep experience with capacity planning, workforce staffing operations, and care team analytics, including proven case studies of measurable improvements in cost of revenue, gross margin, and cost-to-serve through staffing efficiency and data-driven decision making.
- Experience leading AI-enabled or highly automated operations or analytics functions (e.g., predictive modeling, AI-supported dashboards, workflow automation) in healthcare, digital health, or similarly regulated domains.
- Strong financial and analytical acumen, including cost-of-revenue analysis, capacity modeling, credential-related risk assessment, and ROI tracking on operational and technology investments.
- Demonstrated ability to influence across levels (manager through executive), align diverse perspectives, and lead significant organizational change in cross-functional environments.
**Bonus Points:**
- Prior leadership experience in digital health, care delivery operations, or related analytics/operations functions.
- Experience deploying predictive models or AI agents/copilots into operational workflows (capacity planning, staffing, analytics) for care or service teams.
- Advanced degree such as MBA, MHA, MPH, or related field.
