VP of Data Analytics Engineering & Governance

Duties and Responsibilities:

Enterprise Data Strategy & Leadership

• Define and execute a multi-year enterprise data strategy aligned to corporate growth, profitability, and risk management priorities.
• Partner with executive leadership to enable data-driven decision-making across underwriting, actuarial, finance, and operations.
• Serve as the senior authority on data architecture, governance, and platform investments.

Data Platform & Engineering

• Oversee the design, build, and operation of scalable, cloud-native data platforms and pipelines supporting enterprise analytics and reporting.
• Ensure integration of core insurance systems (e.g., policy, billing, claims) into a unified and governed data ecosystem.
• Establish standards for modern engineering practices, including automation, CI/CD, and data reliability.

Data Governance, Risk & Compliance

• Lead enterprise data governance frameworks to ensure data quality, lineage, integrity, and appropriate use of data assets.
• Ensure compliance with public company requirements, including SOX controls, statutory reporting, and audit readiness.
• Define and enforce data security standards, including access controls and protection of sensitive and regulated data.

Operational Excellence & Financial Stewardship

• Implement data observability and quality monitoring to proactively identify and resolve data issues.
• Drive efficient use of cloud resources, aligning platform performance with budget and cost management expectations.
• Establish service levels and operational metrics to ensure reliability of data platforms supporting business and financial processes.

Executive Partnership & Reporting

• Advise senior leadership on data-related risks, opportunities, and investment priorities.
• Support internal and external audit activities related to data platforms, controls, and governance practices.
• Communicate performance, risks, and progress against strategic objectives to executive stakeholders.

Team Leadership & Development

• Build, lead, and develop high-performing data engineering and governance teams.
• Provide leadership to employees and regularly conduct effective and timely structured Progress & Growth conversations.
• Promote a culture of accountability, continuous improvement, and operational excellence.
• Perform other duties as assigned.

Education, Experience and Licensing Requirements:

• Bachelor’s degree in Computer Science, Data Science, Information Systems, or related field required; advanced degree preferred.
• 12+ years of progressive experience in data engineering, analytics platforms, or data architecture.
• 5+ years of people leadership experience.
• Experience operating within a publicly traded company, with strong knowledge of SOX, financial reporting controls, and audit requirements.
• Experience supporting enterprise data platforms used for financial, regulatory, or statutory reporting.
• P&C insurance experience required, including familiarity with policy, claims, and financial data domains.

Qualifications/Skills and Competencies:

• Strong understanding of insurance operations, data domains, and regulatory environments.
• Proven leadership of enterprise-scale cloud data platforms (e.g., Azure, Databricks, or similar).
• Experience integrating core insurance systems (e.g., Duck Creek, Guidewire, or equivalent platforms).
• Deep knowledge of data governance practices, including data quality, lineage, and access management.
• Strong analytical and problem-solving skills with attention to detail and operational discipline.
• Exceptional communication and stakeholder management skills, with the ability to influence senior leadership.
• Ability to lead through complexity, balance speed with risk management, and drive organizational change.
• Proficient in MSO/365 applications such as Microsoft Teams, SharePoint, Word, Excel, PowerPoint, and Outlook
• Desire to live Slide’s Core