1

Vp Insurance Data Analytics Jobs (NOW HIRING)

The Vice President of Global Data and Analytics will lead the vision, strategy, and execution for enterprise data for Little Caesar Enterprises, Inc. (LCE) to further build on goals of being a data ...

What We're Looking For * 15+ years in analytics, data science, or a related discipline, with 5+ years leading a D&A organization at the VP level or equivalent - managing directors and their teams.

... data & analytics, private equity, and venture capital firms spanning a range of high-growth ... Vice Presidents work directly with Managing Directors during all facets of the M&A advisory ...

Vice President

Boston, MA ยท On-site

$250K/yr

... data & analytics, private equity, and venture capital firms spanning a range of high-growth ... Vice Presidents work directly with Managing Directors during all facets of the M&A advisory ...

... data & analytics, private equity, and venture capital firms spanning a range of high-growth ... Vice Presidents work directly with Managing Directors during all facets of the M&A advisory ...

The Role The VP of Data & Analytics is POLYWOOD's senior data leader, responsible for the people, platforms, and practices that turn raw data into business advantage. You'll own the enterprise data ...

The Role The VP of Data & Analytics is POLYWOOD's senior data leader, responsible for the people, platforms, and practices that turn raw data into business advantage. You'll own the enterprise data ...

next page

Showing results 1-20

Vp Insurance Data Analytics information

See salary details

$101K

$183.5K

$367K

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

As of Jun 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 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.

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 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.

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.
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 job categories do people searching Vp Insurance Data Analytics jobs look for? The top searched job categories for Vp Insurance Data Analytics jobs are:
Infographic showing various Vp Insurance Data Analytics job openings in the United States as of June 2026, with employment types broken down into 92% Full Time, 4% Part Time, and 4% Temporary. Highlights an 71% In-person, 7% Hybrid, and 22% Remote job distribution, with an average salary of $183,493 per year, or $88.2 per hour.

VP, Global Data & Analytics

Ilitch

Detroit, MI โ€ข On-site

Full-time

Posted 21 days ago


Job description

Job Summary:

Build a Bigger, Better, Bolder Future:

The Vice President of Global Data and Analytics will lead the vision, strategy, and execution for enterprise data for Little Caesar Enterprises, Inc. (LCE) to further build on goals of being a data-driven global enterprise. The position is responsible for data analytics, data science, business intelligence, data engineering and data governance functions.

Key responsibilities include identifying and articulating strategic data opportunities, developing and executing a comprehensive enterprise data roadmap, and ensuring alignment across all areas of the business. The role is also accountable for building organizational capability through talent development and upskilling, while driving a cohesive, forward-looking data strategy across LCE.

Your Mission:

  • Responsible for owning and developing the vision, strategy, and execution for global enterprise data, analytics and business intelligence , ensuring scalability of systems processes and talent.
  • Drive a culture of data-driven decision making and engage with senior leaders to both educate them on what is possible and to ensure that their immediate needs are being met.
  • Creation and management of a global integrated analytics roadmap.
  • Lead the team responsible for building and managing the technical infrastructure, data platform and visualization technologies.
  • Ensure that the support structure is in place for all data products to meet our business SLAs.
  • Lead the team responsible for creating and maintaining the reporting and analytics tools which support LCE executive leadership, all LCE corporate departments, franchisees, restaurant managers and crews.
  • Lead and scale a global team of data engineers, analysts, and scientists, driving enterprise analytics and empowering business functions through modern tools, high-quality data, and advanced analytical expertise.
  • Define and own the strategy for investments, working closely with key business analytics leaders, and executive management.
  • Manage data insights and analytics, including enterprise dashboards and support the creation of functional dashboards in partnership with business functions.
  • Oversee various current and potential visualization and analytics tools leveraging Little Caesar Enterprises, Inc. technology wherever appropriate.
  • Create an environment where power users have access to the data and self-service tools that they need to drive their business units forward.
  • Oversee global data governance and data integrity protocols and procedures.
  • Support machine learning and artificial intelligence initiatives.
  • Drive, mentor, and motivate the organization to focus on continuous operational excellence, enterprise analytics architecture evolution, improved solution design practices, and high-value technology selection decisions with transparency to business leaders and alignment with enterprise architecture.
  • Build an internal and external brand for the organization aimed at talent acquisition and retention in a highly competitive market.

Who You Are:

  • Bachelor's degree in Computer Science, Engineering, Statistics, Applied Mathematics or a related field.
  • Minimum of fifteen (15) years working in data pipelines, data warehouse, data analytics, data science, machine learning, artificial intelligence (AI), or related disciplines.
  • Minimum of ten (10) years working with a broad range of business intelligence (BI) tools.
  • Minimum of 10 years of management experience, including leading individual contributors and/or teams, with demonstrated accountability for performance management, talent development, and succession planning to support progression into more senior-level roles.
  • Experience building and leading data analytics, data science, and data engineering teams, including scaling capabilities (e.g., team size, tools, or platforms) and delivering measurable business outcomes.

What Will Make You Stand Out:

  • Advanced degrees in Computer Science, Engineering, Statistics, Applied Mathematics or a related field.
  • Experience working with customer data in a retail or quick service restaurant environment.
  • Experience working for/with business to consumer (B2C) technology companies.
  • Knowledge and practical application of advanced statistical analysis and mathematical modeling concepts and principles.
  • Experience in driving and leading data governance practices.
  • Experience productionizing machine learning models.

Where You Will Work:

  • Works in a normal office environment where there is no physical discomfort due to temperature, noise, dust and the like.
  • This position requires approximately 10%-20% travel which may include travel to restaurant locations and trade shows. This position requires the ability to adhere to the LCE Travel policy.
  • Requires accessibility during non-traditional hours such as evening, nights and weekends.

Competencies:

  • Ability to translate business needs to analytic requirements and interpret the results of complex data analysis and communicate them to broad audiences.
  • Outstanding business acumen with an understanding of business drivers (at the corporate, franchise and restaurant levels) and of how to drive value to the customer.
  • Demonstrated success partnering with executive leadership (C-suite and VP level) to influence strategy, translate complex concepts into clear business insights, and drive alignment on enterprise priorities, with a proven ability to communicate effectively across both technical and non-technical audiences.

Disclaimer:

The above is intended to describe the general content of and requirements for the performance of this job. It is not to be construed as an exhaustive statement of duties, responsibilities, or requirements.

All items listed above are illustrative and not comprehensive. They are not contractual in nature and are subject to change at the discretion of Little Caesars Enterprises Inc.


Little Caesar Enterprises, Inc. is an Equal Employment Opportunity employer. All qualified applicants will receive consideration for employment without regards to that individual's race, color, religion or creed, national origin or ancestry, sex (including pregnancy), sexual orientation, gender identity, age, physical or mental disability, veteran status, genetic information, ethnicity, citizenship, or any other characteristic protected by law.
The Company will strive to provide reasonable accommodations to permit qualified applicants who have a need for an accommodation to participate in the hiring process (e.g., accommodations for a job interview) if so requested.
This company participates in E-Verify. Click on any of the links below to view or print the full poster.
E-Verify and Right to Work.

PRIVACY POLICY