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Executive Insurance Data Analytics Jobs in Austin, TX

RWE

Data Analytics Lead

Austin, TX · On-site

Builds and maintains executive-level Power BI dashboards by designing complex data models, writing ... Benefits offered: Medical, Dental, Vision, Life Insurance, Short-Term Disability, Long-Term ...

RWE

Data Analytics Lead

Austin, TX · On-site

Builds and maintains executive-level Power BI dashboards by designing complex data models, writing ... Benefits offered: Medical, Dental, Vision, Life Insurance, Short-Term Disability, Long-Term ...

JLL

Manager, Data Analytics- Industrial

Austin, TX

Own the data infrastructure and analytical output that power the National Industrial platform ... Maintain the intelligence repository and executive summaries that make sector knowledge accessible ...

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All JobsInsurance Data Analytics JobsExecutive Insurance Data Analytics JobsExecutive Insurance Data Analytics Jobs in Austin, TX

Executive Insurance Data Analytics information

See Austin, TX salary details

$26.3K

$92.7K

$182.4K

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

As of Aug 29, 2026, the average yearly pay for executive insurance data analytics in Austin, TX is $92,730.00, according to ZipRecruiter salary data. Most workers in this role earn between $57,500.00 and $119,400.00 per year, depending on experience, location, and employer.

What is an executive insurance data analytics?

An Executive Insurance Data Analytics professional is a senior leader who oversees the collection, analysis, and interpretation of data to guide decision-making within insurance organizations. They leverage advanced analytics, data science, and business intelligence to identify trends, assess risks, and optimize business strategies. Their role often involves setting data strategy, ensuring data quality, and communicating insights to stakeholders to improve profitability and efficiency. They typically collaborate with IT, actuarial, underwriting, and claims teams to drive data-driven transformation across the company.

How does an executive insurance data analytics typically collaborate with other departments to drive business decisions?

In the Executive Insurance Data Analytics role, collaboration with departments such as underwriting, claims, and product development is essential. You will regularly work with cross-functional teams to interpret complex data, identify trends, and provide actionable insights that support strategic business decisions. Clear communication and the ability to translate analytics into business terms are key, as you will often present findings to both technical and non-technical stakeholders. This collaborative approach not only helps improve operational efficiency but also ensures data-driven decision-making across the organization.

What are the key skills and qualifications needed to thrive as an executive insurance data analytics, and why are they important?

To excel as an Executive in Insurance Data Analytics, you need expertise in statistical analysis, data modeling, insurance industry knowledge, and often an advanced degree in data science or actuarial science. Familiarity with analytics platforms like SAS, SQL, Python, and business intelligence tools, as well as certifications such as CPCU or data analytics credentials, are typically required. Strategic thinking, leadership, and strong communication skills help drive insights and influence organizational decision-making. These skills are crucial for transforming complex data into actionable strategies that enhance profitability and manage risk in the insurance sector.

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

AspectExecutive Insurance Data AnalyticsInsurance Data Analyst
Required CredentialsBachelor's or higher in Data Science, Statistics, or related field; experience in insurance analyticsBachelor's in Data Science, Statistics, or related field; entry to mid-level experience
Work EnvironmentStrategic, leadership-focused, often in management teamsOperational, data-focused, often in analytics teams
Employer & Industry UsageInsurance companies, consulting firms, risk management firmsInsurance companies, brokers, third-party analytics providers

Executive Insurance Data Analytics roles focus on strategic decision-making and leadership in insurance data projects, while Insurance Data Analysts handle data collection, analysis, and reporting at operational levels. Both roles require similar educational backgrounds but differ in scope and responsibility.

What are the most commonly searched types of Insurance Data Analytics jobs in Austin, TX?

The most popular types of Insurance Data Analytics jobs in Austin, TX are:

Executive Insurance Data Analytics jobs near you

VP/Delivery Lead - Banking, Financial Services & Insurance (Data, Analytics, AI & Integration)

Austin, TX • On-site

Persistent Systems
Software Development • 51 - 200 employees
Learn more about Persistent Systemsexternal

Other

This job post has expired today. Applications are no longer accepted.

Job description

About Persistent:



We are an AI-led, platform-driven Digital Engineering and Enterprise Modernization partner, combining deep technical expertise and industry experience to help our clients anticipate what’s next. Our offerings and proven solutions create a unique competitive advantage for our clients by giving them the power to see beyond and rise above. We work with many industry-leading organizations across the world, including 20 Fortune 50 companies and 4 of the 5 top banks in both the US and India, and numerous innovators across the healthcare ecosystem


Our disruptor’s mindset, commitment to client success, and agility to thrive in the dynamic environment have enabled us to sustain our growth momentum. Persistent has been recognized across top industry platforms for innovation, leadership, and inclusion. We have delivered 24 sequential quarters of growth with $436.5M in Q4 FY26 revenue, up 17.4% Y-o-Y growth. Our 26,500+ global team members, located in 18 countries, have been instrumental in helping the market leaders transform their industries. We won the 2025 ISG Star of Excellence™ Award for AI and Data Excellence and were named a Leader in the Everest Group Talent Readiness for Next-generation Data, Analytics and AI Services PEAK Matrix® Assessment 2025.


Role: Vice President/Delivery Lead– Banking, Financial Services & Insurance (Data, Analytics, AI & Integration)

Location: Austin, Texas

Experience: 18–25 Years


Role Overview

Persistent is seeking a seasoned Delivery Lead to lead our Banking, Financial Services & Insurance (BFSI) Data, Analytics, AI & Integration practice. This executive will drive strategic customer engagements, large-scale cloud and AI transformation programs, delivery excellence, and business growth across key BFSI accounts.


Key Responsibilities

  • Lead end-to-end delivery for strateg3ic BFSI Data, Analytics, AI, and Integration engagements.
  • Drive enterprise data modernization and legacy-to-cloud transformations using modern data platforms.
  • Own delivery governance, customer satisfaction, financial performance, and operational excellence.
  • Build trusted advisor relationships with CIOs, CDOs, CTOs, and business stakeholders.
  • Partner with Sales and Consulting to shape large deals, support pursuits, and drive account growth.
  • Lead and mentor global teams of delivery managers, architects, and engineering leaders.
  • Foster an engineering-first culture focused on innovation, automation, DataOps/MLOps, AI adoption, and reusable accelerators.
  • Drive continuous improvement, talent development, and delivery best practices across the practice.


Required Experience

  • 18–25 years of experience in IT Services, Digital Engineering, or Consulting.
  • Bachelor's degree in Engineering, Computer Science, or a related technical discipline from a reputed institution; Master's degree preferred.
  • Proven success leading large-scale Data, Analytics, AI, and Integration programs for Banking, Financial Services & Insurance (BFSI) clients.
  • Strong experience managing multi-million-dollar delivery portfolios and distributed global teams.
  • Demonstrated ability to drive customer success, operational excellence, and profitable growth.


Technical & Domain Expertise

  • Modern Data Platforms: Snowflake, Databricks, Microsoft Fabric, Azure Synapse.
  • Cloud Platforms: Azure, AWS, and/or Google Cloud.
  • Data Engineering: Spark, Python, SQL, ETL/ELT, Lakehouse architecture, DataOps.
  • AI & Analytics: Machine Learning, Generative AI, LLM-enabled solutions, Power BI, Tableau.
  • Integration: API-led architectures, MuleSoft, Kafka, Azure Integration Services.
  • Strong understanding of BFSI data ecosystems, financial services architecture, regulatory requirements, risk management, security, governance, and compliance (e.g., PCI DSS, SOX, AML/KYC, BCBS 239, GDPR, or equivalent).


Ideal Candidate

  • Engineering-led delivery executive with a passion for solving complex business problems through technology.
  • Proven experience leading enterprise data transformation to cloud-native platforms such as Snowflake and Databricks.
  • Strong executive presence with the ability to influence C-suite stakeholders and build long-term strategic partnerships.
  • Growth-oriented leader with a track record of scaling teams, developing talent, and expanding strategic client relationships.
  • Passionate about leveraging AI and modern engineering practices to deliver measurable business outcomes for Banking, Financial Services & Insurance (BFSI) clients.


Success Metrics

  • Customer satisfaction (CSAT/NPS)
  • Delivery predictability and quality
  • Revenue growth and account expansion
  • Gross margin improvement
  • Successful cloud and AI transformation outcomes
  • Team engagement and retention
  • Reusable engineering assets and automation adoption
  • Delivery governance and compliance



Our company fosters a values-driven and people-centric work environment that enables our employees to:


  • Accelerate growth, both professionally and personally.
  • Impact the world in powerful, positive ways, using the latest technologies.
  • Enjoy collaborative innovation, with diversity and work-life wellbeing at the core.
  • Unlock global opportunities to work and learn with the industry’s best.

Apply