VP of Enterprise Data and AI Enablement

Warner Pacific Insurance ServicesWestlake Village, CA
1d$210,000 - $250,000

About The Position

The Vice President of Enterprise Data and AI Enablement will serve as a senior technology leader responsible for transforming how Warner Pacific acquires, structures, manages, and activates data across all core business processes. This role combines strategic leadership of Data Analytics with operational oversight of Carrier Integrations, ensuring that high‑quality, trustworthy data flows seamlessly into both internal systems and emerging AI capabilities. This executive will define and lead Warner Pacific’s enterprise data strategy, govern data quality and lifecycle management, accelerate AI‑enablement efforts, and ensure that all quoting, enrollment, and member‑management processes benefit from integrated, automated, and intelligent data pipelines. The role reports to the CTO and partners closely with leaders across Engineering, Product, Operations, Sales, Finance, and carrier partners.

Requirements

  • 10–15+ years in engineering, data management, or analytics leadership roles, with at least 5 years at the senior director or VP level.
  • Proven experience owning enterprise‑scale data architectures, integrations, and governance programs.
  • Deep familiarity with carrier data, health insurance industry data structures, and API‑based integrations.
  • Demonstrated leadership in deploying machine learning or AI‑enabled systems in operational environments.
  • Strong interpersonal and executive‑level communication skills; ability to influence without authority.
  • Experience building and scaling high‑performing data or engineering teams.

Responsibilities

  • Establish and lead Warner Pacific’s enterprise‑wide data strategy to support analytics, operational efficiency, and AI integration.
  • Define and implement data governance standards, master data management practices, and enterprise metadata frameworks.
  • Partner with Engineering, Product, and Operations to redesign data flows for AI‑readiness across quoting, enrollment, service, compliance, and reporting processes.
  • Oversee creation of secure, scalable data infrastructure enabling predictive analytics, LLM‑based automation, and decision‑support tools.
  • Drive adoption of responsible AI practices, optimizing data quality, lineage, and accessibility for all AI efforts.
  • Lead and expand Warner Pacific’s Data Analytics team, setting the long‑term direction for analytics, dashboards, modeling, and data‑driven decisioning.
  • Develop roadmap for operational, financial, and product analytics; improve access to insights across the organization.
  • Coach and mentor analysts, data engineers, and BI developers; elevate hiring standards and talent development.
  • Partner with business stakeholders to define KPIs, measure performance, and enable proactive, data‑supported business management.
  • Lead development and maintenance of direct API integrations with carriers, supporting quoting, enrollment, and member‑management automation
  • Build and enhance relationships with carrier partners; advocate for industry‑standardized data exchange.
  • Ensure adherence to integration schedules, SLAs, and delivery commitments across carriers.
  • Drive automation of data processing to increase accuracy, consistency, and operational efficiency
  • Oversee continuous improvement of integration performance, availability, and reliability.
  • Create a unified approach to data quality measurement, exception handling, and remediation.
  • Ensure compliance with HIPAA and all relevant regulatory requirements related to data storage, transmission, and access.
  • Reduce risk through improved data controls, auditability, and lifecycle management.
  • Partner with VP‑level leaders in Product, Engineering, Operations, Sales, and Finance to align data and AI initiatives with organizational goals.
  • Communicate vision, progress, and impact of the data and AI strategy to executive leadership and the broader organization.
  • Lead structured change‑management programs to modernize data practices across teams and systems.

Benefits

  • We offer a range of market-competitive benefits that include merit increases, paid holidays, Paid Time Off, medical, dental, vision, short- and long-term disability benefits, 401(k) + match, and life insurance.
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