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Vp Insurance Data Analytics Jobs (NOW HIRING)

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 ...

Eleven Recruiting

VP, Data Analytics

Their client, an investment firm, is seeking a VP of Data Analytics to lead data architecture development, collaborate with stakeholders, and ensure compliance with data governance policies.

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 ...

CHOC

Associate VP, Philanthropy Data Analytics

Orange, CA · On-site

$138.76 - $277.51/hr

## Associate VP, Fundraising Analytics & Data IntelligenceApplyremote type: Hybridlocations: Main Campus - Orangetime type: Full timeposted on: Posted Todayjob requisition id: R-32988**Work Location*

Omnicom

VP, Data Strategy & Insight

Williamsburg, VA · On-site

Data and Analytics Job Subfunction: Data Strategy and Governance The Vice President (VP) of Data ... Health Insurance Portability and Accountability Act (HIPAA) Training * Adverse Event (AE) Reporting ...

Omnicom

VP, Data Strategy & Insight

Williamsburg, VA · On-site

Data and Analytics Job Subfunction: Data Strategy and Governance The Vice President (VP) of Data ... Health Insurance Portability and Accountability Act (HIPAA) Training * Adverse Event (AE) Reporting ...

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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 Sep 7, 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.

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:

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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, 72% Full Time, 22% Part Time, and 5% Contract. Highlights an 91% Physical, 1% Hybrid, and 8% Remote job distribution, with an average salary of $183,493 per year, or $88.2 per hour.

Vice President, Data & Analytics

Hillenbrand

Columbus, OH • On-site, Remote

$173K - $224K/yr

Full-time

Posted 24 days ago

Hillenbrand rating

8.0

Company rating: 8.0 out of 10

Based on 5 frontline employees who took The Breakroom Quiz

182nd of 499 rated machine equipment manufacturers

Job description

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 a true player-coach: an executive who sets direction and builds the team while remaining hands-on in the platform working alongside the team they lead. This role ensures that data and AI are treated as strategic assets, enabling informed decision-making, operational excellence, and business growth.
Work You'll Do:
Leadership & strategy
  • Player-coach profile: leads a small, global team but personally engaged in deep technical work
  • Strong documentation and knowledge-management habits - data contracts, table docs, and query patterns as first-class deliverables
  • Vendor/platform cost management: compute governance, storage lifecycle policies, and experience managing the cost / value equation
  • Partner with business and enterprise stakeholders to align data initiatives with broader organizational priorities
  • Build, mentor, and retain a high-performing global team; set the operating model, hiring plan, and delivery priorities
  • Establish enterprise data governance and stewardship - data ownership, quality standards, and access policy - partnering with security, legal, and compliance

Hands-on lakehouse engineering
  • Expert-level Databricks (or similar technology): Delta Lake internals (MERGE/CDC patterns, OPTIMIZE, vacuum/retention, time travel), SQL warehouses, and workflow/job orchestration
  • Deep experience with medallion (bronze/silver/gold) architectures - efficicent load design, dedup strategy at ingestion, and grain/key discipline through each layer
  • Strong Unity Catalog governance skills: access model design, lineage, and system-table observability

Data architecture & modeling
  • Proven dimensional-modeling depth (Kimball-style facts/dims): define and enforce fact grain, conformed dimensions, and surrogate-key discipline
  • Multi-ERP integration experience (SAP, Dynamics, Navision, JDE/E1, IFS or similar)
  • CDC/replication architecture: choosing and implementing change-capture patterns that minimize storage and compute requirements

Assessment & redesign capability
  • Track record of leading a platform assessment and rationalization: data-quality profiling, source-to-target lineage reconstruction, and storage/compute cost reduction
  • Capability to develop and stand up a continuous data-quality framework: automated grain/duplication/reconciliation tests in the pipelines (e.g., dbt tests, Delta Live Tables expectations, or equivalent)
  • Financial reconciliation mindset: experience tying warehouse facts to reported financials (orders vs bookings vs GL) and documenting where they legitimately diverge
  • Pragmatic migration planning: can sequence a redesign while keeping certified models and executive dashboards live

AI & advanced analytics
  • Define and drive the AI/ML and generative-AI strategy: identify, prioritize, and sequence high-value use cases tied to measurable business outcomes
  • Stand up responsible-AI and model governance: evaluation, monitoring, data-privacy, and risk controls for both predictive and generative systems
  • Enable self-service analytics and citizen development through governed data products and a trusted semantic layer

Reporting:
Reporting to the Chief Enterprise Business Services Officer, the Vice President leads a team spanning data warehouse and AI, and partners with a much larger group of indirect stakeholders across the business.
Basic Qualifications:
  • Bachelor's degree in Data Science, Information Systems, Computer Science, or related field - or equivalent experience.

Preferred Qualifications:
  • 10 or more years of progressive experience in analytics, business intelligence, and data administration
  • Expertise in data governance, data architecture, BI platforms, and cloud data technologies,
  • Strong proficiency with data modeling and analytics methodologies
  • Strong executive communication and strategic planning skills
  • Demonstrated people-leadership: building, mentoring, and retaining technical teams while remaining hands-on in the platform
  • Experience setting AI/ML and analytics strategy and standing up data or AI governance at enterprise scale

Who we are:
Hillenbrand (www.hillenbrand.com) is a global industrial company that provides highly engineered, mission-critical processing equipment and solutions to customers in over 100 countries around the world. Our portfolio is composed of leading industrial brands that serve large, attractive end markets, including durable plastics, food, and recycling. Guided by our Purpose - Shape What Matters For Tomorrow™ - we pursue excellence, collaboration, and innovation to consistently shape solutions that best serve our associates, customers, communities, and other stakeholders.
EEO: The policy of Hillenbrand Inc. is to extend opportunities to qualified applicants and employees on an equal basis regardless of an individual's age, race, color, sex, religion, national origin, disability, sexual orientation, gender identity/expression or veteran status. Additionally, Hillenbrand Inc. and our operating companies are committed to being an Equal Employment Opportunity (EEO) Employer and offers opportunities to all job seekers including individuals with disabilities. If you need a reasonable accommodation to assist with your job search or application for employment, email us @recruitingaccommodations@hillenbrand.com . In your email, please include a description of the specific accommodation you are requesting as well as the job title and requisition number of the position for which you are applying. At Hillenbrand, everyone is welcome to apply and "Shape What Matters for Tomorrow".

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