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Vp Insurance Data Analytics Jobs (NOW HIRING)

VP, Risk Data & Analytics

New York, NY ยท On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Summary Under limited direction, the VP, Risk Data & Analytics will lead the analysis, design ... insurance; critical illness insurance and accident insurance; disability benefits; retirement ...

Vice President, Data & AI

Henrico, VA

$228K - $240K/yr

  • Medical

  • Dental

  • Retirement

  • PTO

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

Vice President, Data & AI

Henrico, VA ยท On-site

$228K - $240K/yr

  • Medical

  • Dental

  • Retirement

  • PTO

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

Vice President, Data & AI

Henrico, VA ยท On-site

$228K - $240K/yr

  • Medical

  • Dental

  • Retirement

  • PTO

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

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Work with the VP, AI and Data Governance to establish and scale data governance, stewardship, and ... Analytics & Insight Enablement (Beyond Reporting) * Move IJM from reporting to insight-driven ...

VP, Data

Bradenton, FL ยท On-site

$180 - $280/hr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

Data Science & Analytics: Responsible for advanced analytics, machine learning, and applied data ... Pet Insurance * Wellbeing Program * and more! Don't meet every single requirement? We are dedicated ...

The Vice President, Insurance Solutions will play a key role in deepening Oaktree's engagement with ... Strategic and analytical thinker with a strong problem-solving orientation and attention to detail.

VP, BSA & OFAC Data Analytics

Santa Ana, CA ยท On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

... SVP BSA & OFAC Risk and Strategy Director, the VP, BSA & OFAC Data Analytics position is ... We offer comprehensive insurance options including medical, dental, vision, AD&D, supplemental life ...

## First Vice President, Data AnalyticsApplyremote type: Onsitelocations: Central Region (City Area ... Analyze macro and micro data (structured/less structured) to answer business questions via ...

... Vice President (SAVP) to lead and drive our Insurance Analytics & AI initiatives for Property and Casualty (P&C) clients. This leadership role is pivotal in delivering client management, data-driven ...

Assistant Vice President of Risk Management

Long Branch, NJ ยท On-site

$145 - $185/hr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

... insurance, data privacy, intellectual property, compliance, and issues unique to higher education ... Conduct legal research and analysis and draft legal memoranda, correspondence, policies and reports ...

Showing results 41-60

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 Aug 18, 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:

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 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, Risk Data & Analytics

Raymondjames

New York, NY โ€ข On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 4 hours ago


Job description

Job Description Summary

Under limited direction, the VP, Risk Data & Analytics will lead the analysis, design, development, and ongoing support of data, reporting, and analytics solutions across RJF Risk Management. The role will serve as a subject matter expert on Risk's rapidly expanding data ecosystem and emerging capabilities, partnering closely with Risk Stripe Leads, Segment CROs, Risk Technology, and other stakeholders to expand risk measurement, reduce data-related friction, strengthen transparency and control, and drive accurate and intuitive risk reporting. The VP will transform challenges and opportunities into value-driven use cases and oversee the design and execution of concurrent Risk Data & Analytics and Risk Technology workstreams, ensuring that solutions are well documented, well governed, and aligned to the broader RJF Risk Management and Risk & Data Analytics strategic roadmaps.

Job Description

Essential Duties and Responsibilities
  • Lead the analysis, design, development, and ongoing support of tactical point solutions and scalable strategic capabilities supporting data, reporting, and analytics across RJF Risk Management.
  • Serve as a subject matter expert on RJF Risk Management's data and its various touch points across roles, platforms, and processes, especially upstream dependencies and downstream impact.
  • Manage data transformation, entity consolidation, and risk aggregation processes used to report exposure to regulatory, audit, committee, executive management, and board level audiences.
  • Increase the frequency, breadth, and depth of risk measurement capabilities by targeting data-related process friction through automation and process improvement.
  • Build strong relationships with stakeholders and use techniques such as structured interviewing, group workshops, and free form whiteboarding sessions to solicit requirements and transform them into polished specifications and support artifacts for Risk Data & Analytics and Risk Technology.
  • Actively manage a backlog and roadmap of risk management platform, data, analytics, reporting, dashboarding, workflow, and decision-support use cases.
  • Continuously drive down total cost of ownership of data-driven solutions by promoting modular design, shared components, and configuration-driven development.
  • Promote visual and user experience design concepts to deliver solutions that are pleasing to look at, intuitive to use and understand, elegant in their simplicity, and accessible to all who use them.
  • Create and actively maintain documentation, visual artifacts, guides, and end user support materials.
  • Establish a framework of observability, reproducibility, and auditability for analytics solutions that tightly manages experiments, model training, testing, inference, and ground truth and performance data integration while providing a sight glass for regulatory oversight, audit, and model risk management.
  • Provide ad hoc reporting, visualization, and analytical support for regulatory, audit, compliance, business unit, and executive management inquiries.
  • Manage assigned team members and delivery resources, including workload prioritization, coaching, performance management, and development planning.
Knowledge of
  • Risk management concepts and practices, including risk identification, appetite, aggregation, measurement, monitoring, control, reporting, escalation, and governance.
  • Financial markets, products, financial advisory activities, investment processes, and related risk management considerations.
  • Risk data, analytics, and reporting practices across financial and non-financial risk domains.
  • Software Development Life Cycle (SDLC) frameworks (e.g. Waterfall, Agile)
  • Federal Reserve, OCC, FINRA, SEC, and other relevant regulatory lenses applicable to risk data, analytics, reporting, and controls within banking, brokerage, and capital markets.
  • Intermediate understanding of and hands on experience with SQL and Python.
  • RDBMS (e.g. Oracle, Postgres) and distributed database platforms (e.g. Redshift, Snowflake)
  • Hands on experience with industry standard business intelligence tooling (e.g. Tableau, Qlik, PowerBI)
  • Work and project management tooling (e.g. SharePoint and Confluence wikis, MS Project, Smartsheet)
  • Data management and governance concepts, including quality, lineage, metadata, documentation, reconciliation, and change management.
  • Requirements gathering, solution design, implementation planning, testing, user acceptance, and production support for data, reporting, and analytics solutions.
Skill in
  • Developing creative, pragmatic solutions to complex data, reporting, analytics, and technology matters.
  • Preparing and delivering clear, effective, and professional presentations for technical, risk, business, and senior management while bridging communication between technical and non-technical audiences.
  • Translating business, risk, and regulatory data needs into clear requirements, user stories, data specifications, process documentation, implementation plans, and other relevant artifacts.
  • Effectively engaging with and influencing stakeholders outside direct reporting lines to drive alignment on scope, risks, timelines, dependencies, and issue resolution.
Ability to
  • Apply a strong interest in technology, data, and analytics toward practical solutions that support risk management and help protect Raymond James and its clients.
  • Lead assigned project teams and workstreams, including planning, task assignment, issue tracking, stakeholder updates, delivery oversight, and escalation of material risks or decisions.
  • Shift seamlessly between the technical analysis of needs and opportunities, managing stakeholder engagement and communication, and overall execution and delivery management.
  • Facilitate meetings and working sessions with mixed audiences, ensuring that key viewpoints, risks, issues, ideas, and decisions are captured and addressed.
  • Evaluate the ROI of vendor tooling against competing and internally developed solutions.

Education

Bachelor's: Computer and Information Science, Bachelor's: Finance, Bachelor's: Management Information Systems

Work Experience

General Experience - More than 15 years, Manager Experience - 10 to 15 years

Certifications

Salary Range

$175,000.00-$230,000.00

Travel

Less than 25%

Workstyle

Hybrid

The total compensation for this position includes base salary or wages, and may include components such as additional compensation (cash or equity), discretionary bonuses, or commissions. This position is eligible for a benefits package that may include medical, dental, and vision; life insurance; critical illness insurance and accident insurance; disability benefits; retirement savings; paid time off (including vacation, holidays, and sick leave); and parental leave. Eligibility for benefits and specific offerings may vary based on position and employment status. To view more details of the benefits offered, visit Myrjbenefits.com.

At Raymond James our associates use five guiding behaviors (Develop, Collaborate, Decide, Deliver, Improve) to deliver on the firm's core values of client-first, integrity, independence and a conservative, long-term view.
We expect our associates at all levels to:
Grow professionally and inspire others to do the same
Work with and through others to achieve desired outcomes
Make prompt, pragmatic choices and act with the client in mind
Take ownership and hold themselves and others accountable for delivering results that matter
Contribute to the continuous evolution of the firm

At Raymond James - as part of our people-first culture, we honor, value, and respect the uniqueness, experiences, and backgrounds of all of our Associates. When associates bring their best authentic selves, our organization, clients, and communities thrive. The Company is an equal opportunity employer and makes all employment decisions on the basis of merit and business needs.

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