VP – Enterprise Data Architect

About the Role:

The VP, Enterprise Data Architecture is to lead the strategic design, governance, and execution of our enterprise-wide data architecture. This individual will play a critical role in modernizing our data ecosystem, optimizing data assets for business value, and enabling data-driven decision-making across the organization. The ideal candidate will have deep domain expertise in insurance (P&C, Life, or Health), a strong understanding of modern data platforms, and the ability to influence senior leadership on enterprise data strategies.

Key Responsibilities

• Enterprise Data Strategy: Define and drive the vision, strategy, and roadmap for enterprise data architecture, aligning with business objectives and digital transformation initiatives.
• Data Architecture Leadership: Establish robust data governance, data management, and cloud-based architecture frameworks, ensuring scalable and secure data solutions.
• Domain Expertise in Insurance: Bring deep understanding of policy, claims, underwriting, actuarial, and regulatory requirements to design industry-specific data solutions.
• Technology & Platform Optimization: Lead the modernization of data platforms (cloud, on-prem, hybrid), data lakes, data warehouses, and real-time analytics to drive business insights.
• Senior Leadership Influence: Partner with the C-suite, business leaders, and technology executives to advocate for data-driven culture, architectural best practices, and innovation.
• Data Governance & Compliance: Ensure adherence to regulatory and industry standards (NAIC, GDPR, CCPA, IFRS 17, etc.), embedding governance into architecture.
• Team Leadership & Collaboration: Build and mentor a high-performing data architecture team, while working closely with data engineering, analytics, and business teams to deliver strategic outcomes.

Required Qualifications & Experience

• 15+ years of experience in data architecture, with at least 5+ years in a senior leadership role (Director/VP level).
• Strong domain expertise in insurance (P&C, Life, or Health), with an understanding of policy, claims, underwriting, and actuarial processes.
• Proven ability to influence senior executives and drive enterprise-wide data strategy.
• Experience with modern data platforms (Databricks, Snowflake, AWS, Azure, GCP, etc.).
• Deep knowledge of data modeling, metadata management, data governance, and MDM.
• Strong understanding of AI/ML, predictive analytics, and real-time data processing for business impact.
• Experience in leading large-scale data transformations in a federated enterprise environment.
• Exceptional communication and stakeholder management skills to bridge business and technology teams.

Preferred Qualifications

• Prior experience in a CDAO, or Chief Architect function is a plus.
• Familiarity with GenAI applications in insurance and advanced analytics use cases.
• Strong understanding of FinOps in cloud-based data environments.

What if I don't meet every requirement? At Everest we are dedicated to building an inclusive and authentic workplace. So, if you are excited about this role but your past experience doesn’t align perfectly with every element in the job description, we still encourage you to apply. You may be just the right candidate for this or other roles. Please let us know if you need any accommodations throughout the application or interview process.

Our Culture 

At Everest, our purpose is to provide the world with protection. We help clients and businesses thrive, fuel global economies, and create sustainable value for our colleagues, shareholders and the communities that we serve. We also pride ourselves on having a unique and inclusive culture which is driven by a unified set of values and behaviors. Click here to learn more about our culture. 

• Our Values are the guiding principles that inform our decisions, actions and behaviors. They are an expression of our culture and an integral part of how we work: Talent. Thoughtful assumption of risk. Execution. Efficiency. Humility. Leadership. Collaboration. Inclusion and Belonging.
• Our Colleague Behaviors define how we operate and interact with each other no matter our location, level or function: Respect everyone. Pursue better. Lead by example. Own our outcomes. Win together.  

All colleagues are held accountable to upholding and supporting our values and behaviors across the company. This includes day to day interactions with fellow colleagues, and the global communities we serve.  

#LI-DP1

#LI-Hybrid