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Vp Insurance Data Analytics Jobs (NOW HIRING)

TradeStation

VP, Enterprise Data & Analytics

What We Are Looking For : We're seeking a hands-on VP, Enterprise Data amp; Analytics to own and lead TradeStation's data science, analytics, and data product functions end to end -- and to make data ...

Hillenbrand

Vice President, Data & Analytics

Columbus, OH · On-site +1

$173K - $224K/yr

The Vice President, Data & Analytics provides executive leadership for the organization's data strategy, data governance, enterprise data warehouse, business intelligence, and AI initiatives - and is ...

Aon Corporation

VP - Insurance, Claims & Strategy

NY · Remote

$250K - $275K/yr

Deliver analysis and reporting to senior leadership. Qualifications * 7+ years of experience in ... market data. The salary may also be adjusted based on applicant's geographic location. This ...

CRH

Vice President, Data & Analytics

Atlanta, GA · Hybrid

Job Summary The Vice President of Data & Analytics is a senior executive responsible for defining and executing the enterprise data strategy to drive measurable business outcomes. This leader will ...

Countryway Insurance Co.

$228 - $240/hr

Provide common, reusable data and analytics platforms that business domains leverage while ... Experience operating in regulated environments such as insurance, financial services, or health ...

Five Guys

VP, Data Analytics and Insights

Alexandria, VA · On-site

Based at our office in Alexandria, VA, the Vice President - Data Analytics and Insights is a senior executive responsible for building and leading Five Guys' enterprise analytics capability. This new ...

AON PLC

VP - Insurance, Claims & Strategy

Manhattan, NY · On-site

$250 - $275/hr

Deliver analysis and reporting to senior leadership. Qualifications * 7+ years of experience in ... market data. The salary may also be adjusted based on applicant's geographic location. This ...

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Vp Insurance Data Analytics information

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$101K

$183.5K

$367K

How much do vp insurance data analytics jobs pay per year?

As of Aug 17, 2026, the average yearly pay for vp insurance data analytics in the United States is $183,493.00, according to ZipRecruiter salary data. Most workers in this role earn between $144,000.00 and $200,000.00 per year, depending on experience, location, and employer.

What does a VP Insurance Data Analytics do?

A VP of Insurance Data Analytics leads the strategy, development, and implementation of data analytics initiatives within an insurance company. They oversee teams that collect, analyze, and interpret large volumes of insurance data to inform business decisions, improve risk assessment, and identify market opportunities. This role also involves collaborating with other departments, ensuring compliance with industry regulations, and leveraging advanced analytics technologies to drive innovation and efficiency.

How does a VP Insurance Data Analytics typically collaborate with other departments within an insurance company?

A VP of Insurance Data Analytics works closely with various departments, such as underwriting, claims, actuarial, and IT, to ensure data-driven decision-making across the organization. They often lead cross-functional teams to implement analytics solutions that enhance risk assessment, customer segmentation, and operational efficiency. Regular collaboration with business leaders is essential to align analytics strategies with organizational goals and to translate complex data insights into actionable business recommendations. This role also involves mentoring analytics teams and presenting findings to executive leadership.

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

To thrive as a VP Insurance Data Analytics, you need advanced expertise in data analysis, statistics, risk modeling, and a strong background in insurance or actuarial science, typically supported by a relevant degree. Proficiency with analytics tools such as SQL, Python, SAS, and data visualization platforms, as well as experience with big data systems and industry certifications like CPCU or actuarial credentials, is highly valued. Exceptional leadership, strategic thinking, and communication skills set top performers apart by enabling them to translate complex data insights into actionable business strategies. These skills are vital for driving data-informed decision-making, optimizing risk assessment, and maintaining a competitive edge in the insurance industry.

What is the difference between Vp Insurance Data Analytics vs Insurance Data Analyst?

AspectVp Insurance Data AnalyticsInsurance Data Analyst
Required CredentialsBachelor's/Master's in Data Science, Analytics, or related fields; extensive experienceBachelor's in Statistics, Data Analysis, or related fields; some experience
Work EnvironmentStrategic leadership, cross-departmental collaboration, executive reportingData collection, analysis, reporting within teams or departments
Employer & Industry UsageInsurance companies, large corporations, analytics firmsInsurance companies, consulting firms, analytics departments

While Vp Insurance Data Analytics focuses on strategic leadership and high-level analytics management, Insurance Data Analysts handle data processing and reporting at operational levels. Both roles require strong analytical skills, but the Vp role emphasizes leadership and strategic decision-making.

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What are the most commonly searched types of Insurance Data Analytics jobs?

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Vp Insurance Data Analytics jobs near you
Infographic showing various Vp Insurance Data Analytics job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 73% Full Time, 21% Part Time, and 5% Contract. Highlights an 89% Physical, 1% Hybrid, and 10% Remote job distribution, with an average salary of $183,493 per year, or $88.2 per hour.

VP, Enterprise Data & Analytics

Chevron Federal Credit Union

Remote

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 18 days ago

Job description

Chevron Federal Credit Union is one of the top-run credit unions in the country - and one of the largest, with $5 billion in assets. Yet our corporate culture is not stuffy: the Team Spirit Committee runs fun activities and charitable events throughout the year, and work-life balance, mutual respect, diversity, and providing a voice for every employee are all important to us. As you might imagine, we provide competitive pay and great benefits, including:
  • Bonus/incentives for all regular employees
  • 401(k) with 8% company contribution
  • Medical, dental, and vision insurance for employees and dependents paid at 80%
  • PTO and paid sabbaticals
  • Tuition reimbursement

GENERAL SUMMARY
The Vice President, Enterprise Data & Analytics leads the Credit Union's enterprise-wide data and analytics organization and is accountable for transforming governed, trusted data into actionable business insight aligned with strategic objectives.
This role establishes the strategic direction, operating model, and success metrics for two core functions: Business Analytics and Data Management, Governance & Enablement. Working closely with executive leadership and business partners across Operations, Lending, Finance, Marketing, Retail Delivery, and other departments, the VP ensures that enterprise data assets are trusted, accessible, secure, and leveraged to drive informed decision-making.
The VP serves as the Credit Union's senior leader for data strategy, analytics, governance, and modern data platform enablement. The role is responsible for advancing organizational data maturity, establishing a data-driven culture, maturing governance practices, and maximizing business value through analytics, machine learning, artificial intelligence, and emerging technologies.
Position Duties & Functions
Enterprise Strategy and Vision
  • Develop and execute the Credit Union's multi-year enterprise data and analytics strategy, roadmap, and performance objectives.
  • Advance organizational data maturity through improved governance, quality, accessibility, analytics adoption, and data-driven decision-making.
  • Identify emerging regulatory, industry, and technology trends and align data and analytics capabilities with evolving business needs.
  • Establish investment priorities and strategic direction for the enterprise modern data platform, analytics tools, and business intelligence ecosystem.
  • Champion enterprise-wide data literacy, stewardship, and ownership across business and operational functions.
  • Evaluate emerging technologies and opportunities to enhance organizational capabilities through data, analytics, machine learning, and artificial intelligence.
  • Partner with Technology leadership to ensure alignment between data architecture, infrastructure strategy, and enterprise technology initiatives.

Analytics and Business Intelligence Leadership
  • Direct the Business Analytics function in delivering advanced analytics, predictive modeling, artificial intelligence solutions, member insights, profitability analysis, and strategic reporting.
  • Develop and maintain a proactive analytics agenda that identifies opportunities to improve business performance, member experience, operational efficiency, and growth.
  • Partner with business leaders to understand strategic priorities and ensure analytics solutions support organizational objectives.
  • Oversee enterprise reporting, dashboards, scorecards, and self-service analytics capabilities.
  • Ensure the integration of data across multiple platforms to provide a comprehensive understanding of member relationships and organizational performance.
  • Partner with Marketing leadership to develop and optimize member intelligence, segmentation strategies, and targeted engagement programs.
  • Oversee incentive reporting, performance measurement programs, and analytical support for organizational performance management.
  • Direct advanced portfolio, risk, profitability, competitive, and strategic analyses supporting executive decision-making, product development, and merger evaluations.
  • Develop the intelligence layer in the "customer data profile" (CDP) that guides automated contact decisions across various digital marketing channels and staff outreach.

Data Governance, Management, and Platform Enablement
  • Maintain executive accountability for enterprise data governance policies, standards, and practices.
  • Establish and chair the Data Governance Council and related governance forums.
  • Lead the ongoing maturity and effectiveness of enterprise data governance capabilities.
  • Oversee enterprise data quality, master data management, metadata management, and data catalog initiatives.
  • Establish standards that ensure data remains accurate, trusted, consistent, secure, and accessible.
  • Provide strategic oversight of the Credit Union's modern data platform and associated data architecture capabilities.
  • Partner with Information Security, Infrastructure Services, Risk Management, and Compliance teams to support privacy, security, regulatory, audit, and compliance objectives.
  • Ensure enterprise data assets are managed in accordance with applicable regulatory requirements and industry best practices.

Leadership and Talent Development
  • Build, develop, and lead a high-performing enterprise data and analytics organization.
  • Recruit, develop, mentor, and retain top talent across analytics, governance, data engineering, and business intelligence functions.
  • Directly lead and develop department leaders, including the VP, Business Analytics and AVP, Data Enablement & Governance.
  • Create a culture of accountability, collaboration, innovation, continuous learning, and operational excellence.
  • Establish clear objectives and performance expectations while empowering leaders and teams to execute effectively.
  • Foster an environment of psychological safety where employees are encouraged to contribute ideas, challenge assumptions, and continuously improve.

Executive Partnership and Enterprise Impact
  • Serve as the primary enterprise advisor on data strategy, analytics, governance, and information management.
  • Partner with executive leadership, business units, and governance bodies to align priorities and achieve strategic objectives.
  • Translate business challenges into data-driven solutions and measurable outcomes.
  • Represent the Credit Union in enterprise initiatives, technology evaluations, vendor relationships, and strategic decision-making activities.
  • Ensure executive and ad hoc analytical requests are addressed with timely, accurate, and actionable insights.
  • Communicate complex analytical concepts and recommendations to executive, operational, and board-level audiences.

  • Other duties as assigned

POSITION REQUIREMENTS
EXPERIENCE and EDUCATION
  • Bachelor's degree in Business, Data Analytics, Information Systems, Computer Science, Finance, or a related field required.
  • Master's degree or advanced professional degree preferred.
  • Minimum of twelve (12) years of progressively responsible experience in data, analytics, business intelligence, information management, or related disciplines.
  • Minimum of seven (7) years of leadership experience managing managers, senior leaders, and professional teams.
  • Experience leading enterprise data strategy, governance, analytics, and modern data platform initiatives required.
  • Experience within financial services, banking, credit unions, or similarly regulated industries strongly preferred.
  • Equivalent combination of education and experience may substitute for stated qualifications.

KEY ACCOUNTABILITIES
  • Own and execute the Credit Union's multi-year enterprise data and analytics strategy and roadmap
  • Advance organizational data maturity through improved governance, quality, accessibility, analytics adoption, and data-driven decision-making
  • Lead the Business Analytics and Data Management, Governance & Enablement functions through clear objectives, operating discipline, and measurable outcomes
  • Provide strategic direction for the modern data platform, enterprise reporting, analytics capabilities, and governance practices
  • Serve as the senior enterprise partner for data-driven decision-making across executive leadership, business units, and governance forums
  • Build, develop, and retain a high-performing data and analytics organization

KNOWLEDGE and SKILLS
  • Comprehensive knowledge of enterprise data management, governance, quality, metadata, and master data management practices.
  • Strong understanding of modern data platform architecture, including cloud-based data platforms and lakehouse technologies.
  • Experience leading analytics, business intelligence, predictive analytics, machine learning, and artificial intelligence initiatives.
  • Demonstrated ability to build, lead, develop, and retain high-performing teams.
  • Strong knowledge of financial services operations, products, and member engagement strategies.
  • Understanding of regulatory and compliance requirements impacting enterprise data management.
  • Exceptional strategic thinking and business acumen.
  • Strong executive presence and ability to influence across all organizational levels.
  • Excellent verbal, written, presentation, and storytelling skills.
  • Ability to translate complex data concepts into business-focused recommendations.
  • Proficiency with Microsoft Office applications, including Outlook, Word, Excel, and PowerPoint.

COMPETENCIES
  • Ability to learn quickly and adapt to change; ability to quickly learn specialized applications and systems.
  • Initiative and self-direction.
  • Ability to effectively communicate and collaborate with people at all levels.
  • Sound problem-solving and decision-making ability, including the ability to prioritize.
  • Ability to understand and align with our core competencies through daily projects and tasks:

Growth Mindset
Diversity & Inclusion
Communication
Change Ready Leadership
Responsibility
Problem Solving
Tech & Data Savvy
CU Business Acumen
PHYSICAL DEMANDS
  • Work involves extensive use of computers, up to eight hours per day. Appropriate vision, dexterity, and other physical abilities are required.
  • May include occasional pushing, pulling, or carrying objects weighing up to 20 pounds.
  • Must be able to speak and present on the telephone and/or through digital means of communication, including but not limited to Zoom/Teams/or other video technologies.

We are an equal opportunity employer, and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity or expression, pregnancy, age, national origin, disability status, genetic information, protected veteran status, or any other characteristic protected by law. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.
SALARY AND BENEFITS:
Salary is based on qualifications and geographical location (Zone). Benefit information can be located on our Careers page here: https://www.chevronfcu.org/about-us/careers
Zone 1: $179,764.00 - $247,175.50
Zone 2: $163,585.24 - $224,929.71
Zone 3: $151,001.76 - $207,627.42
Zone 4: $143,811.20 - $197,740.40
This position is eligible to participate in the Key Employee Incentive Plan. Annual incentive opportunity ranges from 0-14% of incentive eligible earnings, based on institutional performance (0-4%) and individual performance (0-10%). Incentive payments are discretionary and subject to approval.
EQUAL EMPLOYMENT OPPORTUNITY STATEMENT:
Chevron Federal Credit Union (CFCU) is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, veteran status, disability, sexual orientation, gender identity, or any other protected status. CFCU participates in E-Verify.
If you are an individual with a disability and require a reasonable accommodation to complete any part of the application process or are limited in the ability or unable to access or use this online application process and need an alternative method for applying, you may contact us at 800-232-8101 for assistance.
CFCU Is CPRA Compliant for California Employees and Applicants, to review the Notice at Collection, click here. To submit a request, please refer to the Careers page for the CPRA Request Form.
#LI-AK1 #LI-REMOTE
Equal Opportunity Employer
This employer is required to notify all applicants of their rights pursuant to federal employment laws. For further information, please review the Know Your Rights notice from the Department of Labor.

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