VP of Enterprise Data and AI Enablement

Job Description

Job Description

Position Overview
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.

Key Responsibilities1. Enterprise Data Strategy, Governance & AI Enablement

• 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.

2. Leadership of Data Analytics Organization

• 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.

3. Carrier Integrations & API Data Pipelines

• 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.

4. Data Quality, Compliance & Risk Management

• 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.

5. Cross‑Functional Leadership & Change 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.

Qualifications

• 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.

Success Measures

• Reliable, accurate, and automated carrier data flows that reduce operational burden and increase service quality.
• Strong AI‑ready data foundation; measurable business impact from analytics and AI enablement.
• Positive feedback from carrier partners and internal stakeholders.
• Improved performance, reliability, and usage of data analytics tools and insights.
• Ability to hire, develop, and retain a high‑performing analytics and data engineering organization.

Compensation

• Annual Salary Range*: $210,000.00 - $250,000 per year
• Actual compensation may vary from posting based on work experience, education, and/or skill level.
• * The salary range is the range Warner Pacific in good faith believes is the range of possible compensation for this role at the time of this posting. The Company may ultimately pay more or less than the posted range. This range may be modified in the future. No amount is considered to be wages or compensation until such amount is earned, vested, and determinable under the terms and conditions of the applicable policies and plans. The amount and availability of any bonus, commission, benefits, or any other form of compensation and benefits that are allocable to a particular employee remains in the Company's sole discretion unless and until paid and may be modified at the Company’s sole discretion, consistent with the law.
• 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.
• As an organization that values diversity of backgrounds, experiences, thoughts, and education levels, we know that an amazing candidate may not have all the qualifications that are listed above. Warner does not want to miss out on excellent candidates. If you believe you would be able to leverage your skills and strengths to meet our “Duties & Responsibilities” section, please apply! We look forward to hearing from you!