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Evp Data Analytics Jobs (NOW HIRING)

VP, Data (Bradenton)

Bradenton, FL · On-site

$125K - $160K/yr

Data Science & Analytics: Responsible for advanced analytics, machine learning, and applied data ... P of Product Engineering, executive leadership, board members, and cross-functional teams to ...

Executive Vice President

Marion, IN · On-site

$200K - $250K/yr

The EVP drives lending strategy, product innovation, and operational excellence to support ... Evaluate business performance through KPIs, dashboards, and data-driven insights. * Oversee loan ...

The EVP drives lending strategy, product innovation, and operational excellence to support sustainable growth and the credit union's mission of improving members' financial wellbeing. The EVP plays a ...

... the EVP of Operations serves as a key member of the U.S. leadership team with overall ... Ensure resident feedback, NPS, reputation, and performance data translate into meaningful ...

Showing results 41-60

Evp Data Analytics information

See salary details

$153K

$178.7K

$202K

How much do evp data analytics jobs pay per year?

As of Sep 9, 2026, the average yearly pay for evp data analytics in the United States is $178,749.00, according to ZipRecruiter salary data. Most workers in this role earn between $165,500.00 and $191,500.00 per year, depending on experience, location, and employer.

What does an EVP of Data Analytics do?

An Executive Vice President (EVP) of Data Analytics is a senior leader responsible for overseeing an organization’s data analytics strategy and operations. They guide the collection, analysis, and interpretation of large data sets to inform business decisions and drive growth. This role involves collaborating with other executives, managing analytics teams, and ensuring the use of best practices and technologies to maximize data value. The EVP of Data Analytics plays a key role in shaping the company’s data-driven culture and aligning analytics initiatives with business goals.

What are the key skills and qualifications needed to thrive as an EVP of Data Analytics?

To thrive as an EVP of Data Analytics, you need deep expertise in data science, statistical analysis, and business strategy, typically supported by an advanced degree in a quantitative field. Familiarity with big data platforms (such as Hadoop or Spark), business intelligence tools (like Tableau or Power BI), and relevant certifications in data analytics or management are highly valued. Strategic vision, leadership, and strong communication skills are crucial for driving organizational change and influencing stakeholders. These skills ensure that data-driven insights translate into actionable business strategies, maximizing value and competitive advantage for the organization.

What are some common challenges faced by an EVP of Data Analytics when implementing company-wide data strategies?

As an EVP of Data Analytics, one common challenge is aligning diverse business units around a unified data strategy, especially when teams have varying levels of data maturity and different priorities. Gaining executive buy-in, ensuring data governance, and managing change across the organization require strong leadership and communication skills. Additionally, balancing long-term innovation with quick wins, while fostering a culture of data-driven decision making, can be complex but is essential for success in this role.

What is the difference between Evp Data Analytics vs Data Analyst?

AspectEvp Data AnalyticsData Analyst
Required CredentialsBachelor's in Data Science, Analytics, or related field; often certifications in data toolsBachelor's in relevant field; certifications like Microsoft Excel, SQL often preferred
Work EnvironmentCorporate or consulting firms; focus on strategic data insightsVaries from corporate to tech; primarily data processing and reporting
Employer & Industry UsageUsed in marketing, finance, healthcare for strategic decision-makingCommon across industries for data reporting and analysis

While both roles involve data analysis, Evp Data Analytics typically focuses on strategic insights and advanced analytics within organizations, often requiring specialized certifications. Data Analysts perform more routine data processing and reporting tasks. Understanding these differences helps in choosing the right career path or job search focus.

What are popular job titles related to Evp Data Analytics jobs?

For Evp Data Analytics jobs, the most frequently searched job titles are:

Infographic showing various Evp Data Analytics job openings in the United States as of September 2026, with employment types broken down into 1% Internship, 1% As Needed, 83% Full Time, 12% Part Time, and 3% Contract. Highlights an 85% Physical, 3% Hybrid, and 12% Remote job distribution, with an average salary of $178,749 per year, or $85.9 per hour.

VP, Data and Analytics

Charleston, WV • On-site

Magellan Health Services
Biotechnology Research and Development • 10K+ employees

$159K - $287K/yr

Full-time

Medical, Life

Posted 15 days ago


Key responsibilities

  • Oversee all data ingestion, ETL/ELT pipelines, data lake/warehouse platforms, and Master Data Management (MDM).

  • Lead the delivery of enterprise business intelligence, self-service reporting, operational dashboards, and advanced analytical models.

  • Develop and maintain a data and analytics organization, including team development, structure, and roles.


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 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

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.