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Vp Insurance Data Analytics Jobs (NOW HIRING)

Vice President, Data & Analytics Architectural Products Group Atlanta, Georgia, United States Job ID: 523775 Oldcastle, a CRH company, is reinventing what's possible in building solutions. We are the ...

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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 May 28, 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 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.

How does a VP of 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 does a VP of 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.

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.

More about Vp Insurance Data Analytics jobs
What cities are hiring for Vp Insurance Data Analytics jobs? Cities with the most Vp Insurance Data Analytics job openings:
What are the most commonly searched types of Insurance Data Analytics jobs? The most popular types of Insurance Data Analytics jobs are:
What states have the most Vp Insurance Data Analytics jobs? States with the most job openings for Vp Insurance Data Analytics jobs include:
Infographic showing various Vp Insurance Data Analytics job openings in the United States as of May 2026, with employment types broken down into 1% As Needed, 60% Full Time, 36% Part Time, and 3% Contract. Highlights an 88% Physical, 1% Hybrid, and 11% Remote job distribution, with an average salary of $183,493 per year, or $88.2 per hour.
VP, Insurance Operations (Hybrid)

VP, Insurance Operations (Hybrid)

Selective Insurance

Short Hills, NJ

Other

Medical, Retirement, PTO

Posted 13 days ago


Job description

About Us

At Selective, we don't just insure uniquely, we employ uniqueness.
Selective is a midsized U.S. domestic property and casualty insurance company with a history of strong, consistent financial performance for nearly 100 years. Selective's unique position as both a leading insurance group and an employer of choice is recognized in a wide variety of awards and honors, including listing in Forbes Best Midsize Employers in 2025 and certification as a Great Place to Work in 2025 for the sixth consecutive year.
Employees are empowered and encouraged to Be Uniquely You by being their true, unique selves and contributing their diverse talents, experiences, and perspectives to our shared success. Together, we are a high-performing team working to serve our customers responsibly by helping to mitigate loss, keep them safe, and restore their lives and businesses after an insured loss occurs.


Overview

The Vice President, Insurance Operations is accountable for improving the operational foundations of underwriting to improve profitability, execution discipline, and decision quality across the Commercial Lines portfolio. The leader will drive economically grounded productivity and dataenabled decisions that strengthen underwriting performance, reduce operational risk, and enable Selective to scale profitably with discipline and confidence.

The VP, Operations partners closely with Underwriting, Finance, IT, Actuarial, Advanced Analytics, HR, and Enterprise Risk Management to translate strategy into disciplined execution grounded in economics, data, and operational reality.


Responsibilities
  • Strengthen underwriting operations by delivering improved productivity, execution discipline, and operational visibility
  • Identify operational process improvements to the service model to ensure organizational effectiveness & efficiency. Evaluate and prioritize opportunities and oversee execution of solutions. Continuously assess strength of operational processes and procedures to create consistency across commercial lines and automate or remove low value tasks.
  • Improve profitability and portfolio diversification by removing unnecessary friction from underwriting processes and improving new business execution. Improve submissiontoquote timeliness and underwriting throughput by simplifying processes and clarifying priorities.
  • Partner with business and functional leaders to identify and communicate key strategies, initiatives, opportunities, metrics, and goals that effectively drive and improve business performance as well as implement initiatives to address issues.
  • Elevate the quality, consistency, and usefulness of executive operational and financial summaries to improve seniorlevel decisionmaking.
    • Ensure operational insights are tightly linked to financial outcomes, planning, and performance management.
  • Establish a partnership with business, functional leaders, and senior management and develop a clear understanding of their business needs and issues. Perform detailed analytical review of business units/segments to identify, evaluate and pursue opportunities to increase revenue & productivity (capacity/staffing models), improve efficiency and reduce costs
  • Operate at a strategic, tactical, and operational level, handling the oversight of projects that do not neatly fit within the Commercial Lines organizational chart or that fall between departments.

Qualifications

Knowledge and Requirements

  • Demonstrated expertise in evaluating and optimizing complex underwriting or insurance operating systems, including diagnosing performance constraints, root causes, and inefficiencies across people, process, data, and technology.
  • Strong systemsthinking and economic orientation, with the ability to translate operational activity into output and costbased measures, identify leverage points, and drive sustained performance improvement through coordinated system changes.
  • Fluency in data, analytics, and technology as system enablers, with experience using operational data, analytics, and AI to instrument workflows, improve visibility, and enhance decision quality across the underwriting lifecycle.
  • Ability to design roles, decision rights, operating rhythms, and team capabilities to ensure the optimized system performs consistently and scales over time.


Education and Experience

  • College degree preferred
  • 10+ years experience in operation-oriented roles
  • Senior leadership experience in insurance operations, underwriting operations, or closely related finance, analytics, or transformation roles.
  • Experience building, leading, and developing highperforming teams.
  • Sound judgment, high accountability, and credibility with senior executives.

Total Rewards

Selective Insurance offers a total rewards package that includes a competitive base salary, incentive plan eligibility at all levels, and a wide array of benefits designed to help you and your family stay healthy, achieve your financial goals, and balance the demands of your work and personal life. These benefits include comprehensive health care plans, retirement savings plan with company match, discounted Employee Stock Purchase Program, tuition assistance and reimbursement programs, and 20 days of paid time off. Additional details about our total rewards package can be found by visiting our benefits page.
The actual base salary is based on geographic location, and the range is representative of salaries for this role throughout Selective's footprint. Additional considerations include relevant education, qualifications, experience, skills, performance, and business needs.


Pay Range
USD $206,000.00 - USD $266,000.00 /Yr.
Additional Information

Selective is an Equal Employment Opportunity employer. That means we respect and value every individual's unique opinions, beliefs, abilities, and perspectives. We are committed to promoting a welcoming culture that celebrates diverse talent, individual identity, different points of view and experiences - and empowers employees to contribute new ideas that support our continued and growing success. Building a highly engaged team is one of our core strategic imperatives, which we believe is enhanced by diversity, equity, and inclusion. We expect and encourage all employees and all of our business partners to embrace, practice, and monitor the attitudes, values, and goals of acceptance; address biases; and foster diversity of viewpoints and opinions.
For Massachusetts Applicants
It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.