1

Vp Data Jobs (NOW HIRING)

We are seeking a visionary Vice President of Data Strategy to lead our enterprise data strategy and accelerate our growth as an AI-first healthcare organization. This executive will own the end-to ...

Job Title: SVP, Data Center Sales Company: Prologis The SVP, Data Center Sales is a senior leader responsible for driving sustained revenue growth, expanding market share, and establishing long-term ...

SVP, Data Center Sales

Dallas, TX · On-site

$255K - $325K/yr

Job Title: SVP, Data Center Sales Company: Prologis The SVP, Data Center Sales is a senior leader responsible for driving sustained revenue growth, expanding market share, and establishing long-term ...

Job Title: SVP, Data Center Sales Company: Prologis The SVP, Data Center Sales is a senior leader responsible for driving sustained revenue growth, expanding market share, and establishing long-term ...

Job Title: SVP, Data Center Sales Company: Prologis The SVP, Data Center Sales is a senior leader responsible for driving sustained revenue growth, expanding market share, and establishing long-term ...

Job Title: SVP, Data Center Sales Company: Prologis The SVP, Data Center Sales is a senior leader responsible for driving sustained revenue growth, expanding market share, and establishing long-term ...

next page

Showing results 1-20

Vp Data information

See salary details

$43.5K

$157.5K

$277.5K

How much do vp data jobs pay per year?

As of Jun 22, 2026, the average yearly pay for vp data in the United States is $157,532.00, according to ZipRecruiter salary data. Most workers in this role earn between $115,000.00 and $190,000.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a VP of Data, and why are they important?

To thrive as a VP of Data, you need advanced expertise in data analytics, data strategy, and leadership, typically supported by a degree in computer science, statistics, or a related field. Familiarity with big data platforms (such as Hadoop and Spark), cloud data solutions, and certifications in data management or analytics tools are highly valued. Strategic vision, strong communication, and the ability to lead cross-functional teams are standout soft skills. These competencies are crucial for aligning data initiatives with business objectives, ensuring data governance, and driving organizational growth.

How does a VP of Data typically collaborate with other departments to drive business value?

A VP of Data works closely with leaders across departments such as product, marketing, finance, and IT to align data strategies with broader business goals. They facilitate cross-functional projects, ensuring that data insights inform decision-making and support company objectives. Regular communication and collaboration are essential, as the VP of Data often leads data governance initiatives and helps teams leverage analytics to solve real-world business challenges.

What does a VP of Data do?

A VP of Data is responsible for overseeing an organization's data strategy, management, and analytics initiatives. They lead teams of data scientists, analysts, and engineers to ensure data is collected, stored, and utilized effectively to drive business decisions. Their role often includes setting data governance policies, ensuring compliance with regulations, and collaborating with other departments to support company objectives. Additionally, they evaluate and implement new technologies to enhance data capabilities and provide strategic insights to senior leadership.
More about Vp Data jobs
What cities are hiring for Vp Data jobs? Cities with the most Vp Data job openings:
What are the most commonly searched types of Data jobs? The most popular types of Data jobs are:
What states have the most Vp Data jobs? States with the most job openings for Vp Data jobs include:
Infographic showing various Vp Data job openings in the United States as of June 2026, with employment types broken down into 1% As Needed, 96% Full Time, and 3% Contract. Highlights an 82% Physical, 5% Hybrid, and 13% Remote job distribution, with an average salary of $157,532 per year, or $75.7 per hour.

$159K - $287K/yr

Full-time

Medical, Life

Posted 3 days ago


Magellan Health rating

8.0

Company rating: 8.0 out of 10

Based on 26 frontline employees who took The Breakroom Quiz


Job description

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 Mobile Device 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

Responsibilities

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

Title

VP, Data and Analytics

Grade

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.


What Magellan Health employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom