VP, Data and Analytics

Quick Facts

VP, Data and Analytics

Description

Accountable for the full lifecycle of enterprise data and analytics capability—from foundational data engineering and governance through advanced analytics, business intelligence, and AI/ML enablement. Develop and maintain a data and analytics organization, driving a strategic shift to a modern, governed, insight-driven platform supporting clinical, operational, and financial decision-making across the enterprise.

Responsibilities

• Data Strategy & Transformation: Develop and own a multi-year enterprise data and analytics strategy; lead current-state assessment; define target-state architecture across clinical, claims, and operational data domains; rationalize and modernize legacy data infrastructure.
• Data Engineering, Platform & Governance: Oversee data ingestion and ETL/ELT pipelines; manage data lake/warehouse platforms; implement Master Data Management (MDM); establish data quality frameworks (profiling, monitoring, lineage tracking); chair enterprise Data Governance program (policies, stewardship roles, data catalog); ensure HIPAA, CUI (NIST SP 800-171), CMMC, and applicable regulatory compliance across data environments.
• Analytics, Business Intelligence (BI) & AI/ML Enablement: Lead delivery of enterprise BI, self-service reporting, operational dashboards, and advanced analytical models; partner with clinical, operations, and finance stakeholders to translate business questions into data products; advise AI/ML program to ensure data readiness, data contracts, and governance frameworks support responsible AI adoption.
• Organizational Leadership & People Development: Lead, develop, and retain a high-performing organization across data engineering, analytics, and governance; assess inherited talent; build development plans; address gaps through coaching and targeted hiring; define team structures, roles, and career paths.
• Financial, Vendor & Stakeholder Management: Manage a $3M–$5M annual budget with forecasting and variance reporting; oversee vendor and partner relationships for data platforms, analytics tools, and managed services; build and present investment business cases to CIO and executive leadership.

Other Job Requirements

• 15+ years progressive experience in data, analytics, or data engineering; at least 5 years in a senior leadership role owning a data and analytics organization
• Demonstrated track record leading a data or analytics transformation and executing a credible modernization roadmap
• Deep expertise across the modern data stack: cloud data platforms (Snowflake, Databricks, AWS Redshift, Azure Synapse), ETL/ELT tooling, and BI/visualization platforms (Tableau, Power BI, Looker)
• Experience building or leading enterprise data governance programs (policies, data stewardship models, data quality operations)
• Strong financial management skills (budget ownership, vendor negotiation, investment prioritization) and exceptional executive communication skills
• Experience managing large multi-functional teams (30+ professionals) through organizational change
• Healthcare industry experience strongly preferred; familiarity with HIPAA, HL7/FHIR, ICD coding, and claims data structures
• Experience handling federal data requirements highly desired, including CUI handling per NIST SP 800-171 and/or CMMC compliance environments

General Job Information

Education - Required

• Bachelor’s in Computer and Information Science
• Bachelor’s in Management Information Systems

Work Experience - Required

• Analytics/Informatics
• Data Analysis
• Data Governance
• IT
• Management/Leadership

Work Experience - Preferred

• Federal

Education - Preferred

• Master’s in Computer and Information Science
• Master’s in Healthcare Administration

Benefits

• Eligible for short-term incentives
• Comprehensive benefits package including health, life, voluntary, and other benefits and perks

Security/Compliance

• Must understand, comply with, and attest to the security responsibilities and security controls unique to the position
• Must comply with applicable legal, regulatory, and contractual requirements and internal policies and procedures