VP, Data and Analytics

The VP, Data and Analytics is accountable for the full lifecycle of Magellan Health's enterprise data and analytics capability — from foundational data engineering and governance through advanced analytics, business intelligence, and Artificial Intelligence (AI)/Machine Learning (ML) enablement. This leader will develop and maintain a data and analytics organization, driving a strategic shift to a modern, governed, insight-driven platform that supports clinical, operational, and financial decision-making across the enterprise.

• Data Strategy & Transformation: Develop and own a multi-year enterprise data and analytics strategy; lead honest current-state assessment; define target-state architecture spanning clinical, claims, and operational data domains; drive rationalization and modernization of legacy data infrastructure. (20%)
• Data Engineering, Platform & Governance: Oversee all data ingestion, Extract, Transform, and Load (ETL)/Extract, Load, Transform (ELT) pipelines, data lake/warehouse platforms, and Master Data Management (MDM). Establish data quality frameworks including profiling, monitoring, and lineage tracking. Chair enterprise Data Governance program with policies, stewardship roles, and data catalog. Ensure HIPAA,  Controlled Unclassified Information (CUI) [National Institute of Standards and Technology (NIST) SP 800-171)], Cybersecurity Maturity Model Certification (CMMC), and all applicable regulatory compliance across data environments. (25%)
• 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. Serve as advisory partner to the AI/ML program, ensuring data readiness, data contracts, and governance frameworks support responsible AI adoption. (25%)
• Organizational Leadership & People Development: Lead, develop, and retain a high-performing organization of professionals across data engineering, analytics, and governance functions. Assess inherited talent; build development plans, address gaps through coaching and targeted hiring. Define team structures, roles, and career paths. (20%)
• Financial, Vendor & Stakeholder Management: Manage $3M–$5M annual budget with transparent 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. (10%)

The job duties listed above are representative and not intended to be all-inclusive of what may be expected of an employee assigned to this job. A leader may assign additional or other duties which would align with the intent of this job, without revision to the job description.

Other Job Requirements

15+ years of progressive experience in data, analytics, or data engineering, with at least 5 years in a senior leadership role owning a data and analytics organization.
Demonstrated track record leading a data or analytics transformation — assessing a low-maturity environment 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 including policies, data stewardship models, and data quality operations.
Strong financial management skills including budget ownership, vendor negotiation, and investment prioritization. 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 is highly desired, including familiarity with Controlled Unclassified Information (CUI) handling per NIST SP 800-171 and/or CMMC compliance environments.

General Job Information

VP, Data and Analytics

34

Work Experience - Required

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

Work Experience - Preferred

Federal

Education - Required

Bachelor's - Computer and Information Science, Bachelor's - Management Information Systems

Education - Preferred

Master's - Computer and Information Science, Master's - Healthcare Administration

License and Certifications - Required

License and Certifications - Preferred

Salary Range

Salary Minimum:

$159,665

Salary Maximum:

$287,395

This information reflects the anticipated base salary range for this position based on current national data. Minimums and maximums may vary based on location. Actual pay will be adjusted based on an individual's skills, experience, education, and other job-related factors permitted by law.

This position may be eligible for short-term incentives as well as a comprehensive benefits package. Magellan offers a broad range of health, life, voluntary and other benefits and perks that enhance your physical, mental, emotional and financial wellbeing.

Magellan Health, Inc. is proud to be an Equal Opportunity Employer and a Tobacco-free workplace. EOE/M/F/Vet/Disabled.
Every employee must understand, comply with and attest to the security responsibilities and security controls unique to their position; and comply with all applicable legal, regulatory, and contractual requirements and internal policies and procedures.