openqareer

Director, Data Management (EIM / Health Plan Analytics / AI & ML) - REMOTE

Molina Healthcare · Удалённо · United States

# Director, Data Management (EIM / Health Plan Analytics / AI & ML) - REMOTE **Molina Healthcare** · United States · `Remote` · `Full Time` 💼 **Уровень роли:** `Director` 🕒 **Статус:** *Опубликовано: сегодня* · *Источник: Himalayas (JSON API)* --- ### Top Skills & Match 🎯 **Ключевой стек роли:** `[IT]` `[Data-Management]` `[Data-Engineering]` `[Healthcare-Analytics]` `[Enterprise-Information-Management]` `[Health-Plan-Analytics]` `[Healthcare-Data-Director]` `[Health-Plan-Analytics-Director]` `[Remote-Senior-AI-and-Data-Executive]` `[Healthcare-Data-Analytics-Lead]` --- ### About the Role Director, Data Management (EIM) Job Summary The Director, Data Management is a senior leadership role within Molina Healthcare responsible for enterprise data management strategy, delivery, and modernization across core health plan domains . This role leads the design, integration, and operation of data platforms that support Medicaid, Medicare, Marketplace, and other payer lines of business , with a strong emphasis on Databricks‑based lakehouse architecture, AI‑enabled data management, and cloud platform cost optimization (FinOps) . This leader owns end‑to‑end data domain delivery , including ingestion, integration, governance, quality, analytics enablement, and operational reliability for critical healthcare data such as claims, clinical, provider, member, authorizations, encounters, quality, and financial data . The role partners closely with Clinical, Operations, Finance, Compliance, Security, and Enterprise Architecture to ensure data solutions are secure, compliant, scalable, and aligned to Molina’s business objectives and regulatory obligations . The Director balances near‑term delivery commitments with long‑term platform strategy, ensuring Molina’s data ecosystem enables analytics, reporting, regulatory submissions, value‑based care, and AI/ML use cases. Key Responsibilities Healthcare Data Domain Leadership - Lead delivery and ongoing management of core payer data domains , including but not limited to: - Claims, Encounters, Authorizations - Clinical and Utilization Management data - Provider, Network, and Contract data - Member, Eligibility, and Enrollment data - Quality, HEDIS, and Regulatory reporting data - Establish clear data domain ownership, stewardship, and accountability models across business and IT. - Ensure data consistency, quality, lineage, and traceability required for regulatory audits and reporting . Databricks & Data Platform Modernization - Drive Molina’s Databricks lakehouse strategy , including ingestion, transformation, analytics, ML enablement, and downstream consumption. - Lead modernization from legacy data warehouses, marts, and custom pipelines to cloud‑native, scalable data platforms . - Define and enforce platform standards for performance, security, availability, resiliency, and operational excellence . AI‑Enabled Data Management - Enable AI and ML‑ready data foundations , including governed datasets, feature stores, and reusable data products. - Promote use of automation and AI‑assisted capabilities for data quality monitoring, anomaly detection, metadata enrichment, and observability. - Partner with analytics, reporting, and AI teams to accelerate insights that support clinical outcomes, cost management, and operational efficiency . Enterprise Integration & Data Exchange - Oversee enterprise data integration and data movement patterns , including batch, near‑real‑time, streaming, APIs, and industry standards (e.g., 837/835/278, FHIR where applicable). - Ensure secure, compliant data exchanges with internal systems and external vendors, partners, and delegated entities . - Establish clear ownership and operating models for inbound and outbound data pipelines. FinOps & Platform Cost Management - Lead cloud and data platform financial management (FinOps) , including Databricks usage, storage, and compute optimization. - Establish cost transparency, forecasting, and governance to balance performance, scalability, and cost efficiency . - Drive accountability for platform usage across teams and domains. Delivery, Governance & Risk Management - Partner with EPMO, business leaders, and IT stakeholders to manage roadmaps, priorities, dependencies, and delivery commitments . - Ensure adherence to HIPAA, CMS, state Medicaid, and internal security and compliance requirements . - Identify and mitigate data, platform, and delivery risks impacting business continuity and regulatory obligations. Leadership & Team Development - Build, lead, and mentor data engineering, platform, and integration teams . - Establish clear performance expectations, metrics, and career development paths. - Champion modern engineering practices, documentation, and operational discipline. Required Knowledge, Skills & Experience Required - 10+ years of experience in healthcare data management, data engineering, or analytics , with direct experience in a payer / managed‑care organization . - Strong understanding of health plan operations and data , including claims, encounters, authorizations, provider, member, and clinical data. - Proven leadership experience delivering enterprise‑scale data platforms and integrations . - Hands‑on experience with Databricks and Azure cloud data platforms . - Experience operating in highly regulated healthcare environments (HIPAA, CMS, state Medicaid). - Demonstrated ability to lead cross‑functional teams and manage complex stakeholder relationships. Preferred - Experience supporting Medicaid, Medicare, Marketplace , or multi‑LOB health plans. - Experience enabling AI/ML initiatives in healthcare. - Strong background in FinOps, cloud cost governance, and optimization . - Familiarity with healthcare data standards and integrations (EDI, FHIR, HL7). - Prior experience in Data Engineering and Data Management Leadership Expectations - Acts as a healthcare data thought leader within Molina. - Treats data as a strategic enterprise asset supporting clinical quality, regulatory compliance, and financial performance. - Drives results through collaboration, accountability, and disciplined execution . - Promotes standardization, reuse, and long‑term sustainability of Molina’s data ecosystem. To all current Molina employees: If you are interested in applying for this position, please apply through the intranet job listing. Originally posted on Himalayas

Наблюдалась 2026-10-02, впервые 2026-10-02, источник — Himalayas (JSON API).

Открыть у работодателя