VP, Data and Analytics

This is a fully remote position, open to applicants in United States.

📋 Description

• Create and manage a long-term enterprise data and analytics strategy.

• Conduct current-state evaluations and outline target-state architecture across clinical, claims, and operational data sectors.

• Lead the rationalization and modernization of outdated data infrastructure.

• Supervise data ingestion, ETL/ELT pipelines, data lake and warehouse platforms, as well as Master Data Management.

• Implement data quality frameworks that encompass profiling, monitoring, and lineage tracking.

• Chair the enterprise Data Governance initiative, which includes policies, stewardship roles, and data cataloging.

• Ensure compliance with HIPAA, CUI, NIST SP 800-171, CMMC, and other relevant regulatory standards across data environments.

• Direct enterprise BI, self-service reporting, operational dashboards, and advanced analytical models.

• Collaborate with clinical, operations, and finance stakeholders to convert business inquiries into data products.

• Guide the AI/ML program by ensuring data readiness, data contracts, and governance frameworks facilitate responsible AI adoption.

• Lead, develop, and retain professionals in data engineering, analytics, and governance.

• Evaluate talent, create development plans, and address skill gaps through coaching and targeted recruiting.

• Define team structures, roles, and career advancement paths.

• Manage an annual budget ranging from $3M to $5M, including forecasting and variance reporting.

• Oversee relationships with vendors and partners for data platforms, analytics tools, and managed services.

• Construct and present investment business cases to the CIO and executive leadership.

• Perform additional responsibilities aligned with the intent of the role.

⛳️ Requirements

• Over 15 years of progressive experience in data, analytics, or data engineering.

• At least 5 years in a senior leadership position managing a data and analytics organization.

• Proven history of leading a data or analytics transformation, including evaluating low-maturity environments and executing modernization roadmaps.

• Extensive knowledge of the modern data stack, including Snowflake, Databricks, AWS Redshift, Azure Synapse, ETL/ELT tools, Tableau, Power BI, and Looker.

• Experience in establishing or leading enterprise data governance programs, including policies, data stewardship frameworks, and data quality operations.

• Strong financial management capabilities, including budget oversight, vendor negotiations, and investment prioritization.

• Outstanding executive communication skills.

• Experience managing large multifunctional teams of over 30 professionals through organizational transitions.

• Healthcare industry experience is highly preferred.

• Familiarity with HIPAA, HL7/FHIR, ICD coding, and claims data structures.

• Experience with federal data requirements is highly desirable, including knowledge of CUI handling in accordance with NIST SP 800-171 and/or CMMC compliance settings.

• A bachelor's degree in Computer and Information Science or Management Information Systems is required.

• Compliance with security responsibilities, controls, legal, regulatory, contractual, and internal policy requirements is expected.

🏝️ Benefits

• Short-term incentives may be offered.

• A comprehensive benefits package is available.

• A wide array of health, life, voluntary, and other benefits.

• Benefits and perks that promote physical, mental, emotional, and financial wellbeing.

• A tobacco-free workplace.