Chief Data Officer (CDO)

Title: Chief Data Officer (CDO)

Department: Enterprise Technology Group

Location: Austin or Atlanta

Direct Reports: 5 – 7 Senior Leaders 

 

About Acrisure

Acrisure is a global fintech and insurance leader that pairs entrepreneurial expertise with advanced technology to deliver risk management, reinsurance, payroll, benefits, cybersecurity, and more to millions of clients. In just over a decade, we have grown from $38 million to nearly $5 billion in annual revenue, employing 19,000 colleagues in more than 20 countries. Our culture is defined by innovation, client centricity, and an indomitable will to win.

 

Job Summary

We are seeking a visionary Global Chief Data Officer to transform data into a strategic enterprise asset across our central business units. Reporting to the CTO, you will own the end-to-end data agenda—encompassing strategy, architecture and infrastructure, analytics and insights, and data-driven innovation—while championing a data-centric culture. Governance, compliance, and data security remain essential, but are executed day-to-day by dedicated leaders who report into your organization and our Cybersecurity office.

 

Key Responsibilities

 

Data Strategy & Leadership

• Define and execute a forward-looking enterprise data strategy aligned with Acrisure’s growth and digital transformation goals.
• Serve as the principal advocate for data-driven decision-making across all business functions and regions.
• Chair cross-functional councils that link data investments to product, client, and revenue outcomes.

Data Architecture & Infrastructure

• Design and modernize a cloud-native Lakehouse ecosystem (e.g., Databricks) with real-time pipelines, canonical data models, and self-service APIs.
• Evaluate and deploy best-in-class tooling for ingestion, orchestration, storage, and visualization in partnership with Infrastructure & Security teams.
• Ensure platforms are scalable, reliable, and cost-optimized.

Analytics, Insights & Innovation

• Lead enterprise AI/ML, advanced analytics, and BI programs—prioritizing high-value use cases and accelerating time-to-insight.
• Incubate new data products, APIs, and GenAI services that generate net-new revenue or operational efficiencies.
• Partner with Marketing, Finance, Operations, and Product to embed actionable insights into day-to-day workflows.

(Secondary) Data Governance, Compliance & Security Oversight

• Provide strategic direction and executive sponsorship for data governance, privacy, and security initiatives driven by dedicated governance and cybersecurity leaders.
• Align enterprise data policies with external regulations (GDPR, CCPA, SOX, NYDFS) through quarterly steering committee reviews.

Team Development & Leadership

• Build and mentor a high-performing global team of data engineers, architects, scientists, analysts, and governance specialists.
• Define clear career paths, training programs, and communities of practice to cultivate data talent.
• Foster cross-functional collaboration to ensure data initiatives are tightly integrated with business objectives.

This description is not meant to be all-inclusive and may be modified from time to time at the discretion of management.

Qualifications

• Bachelor’s degree in Data Science, Computer Science, Information Systems, Statistics, Business Administration, or a related field.

Preferred Qualifications

• MBA or Master’s in Data/Computer Science, Engineering, or Business.

Required Experience

• 15+ years of executive-level data leadership in global, matrixed organizations.
• Proven success in presenting and influencing Boards of Directors.
• Expertise in delivering enterprise data strategies, cloud-native platforms (AWS/Azure/GCP), and AI/ML programs.
• Familiarity with regulatory standards (GDPR, CCPA, SOX, NYDFS) and leading governance frameworks.
• Demonstrated ability to drive culture change and data literacy initiatives enterprise-wide.
• Outstanding leadership, communication, and change-management skills.

Preferred Experience & Certifications

• Certifications include CDMP (DAMA), DCAM, TOGAF, and Open CDS.
• Experience scaling GenAI responsibly and embedding AI ethics into governance.
• Additional credentials: CIPP/E, Certified Data Management Professional, or equivalent.