AVP, Enterprise Data Platforms, Architecture & Governance

Pacific Life

Confirmed live today High trust
Closes in 4 days Hybrid

Quick summary

Work type
Hybrid
Location
Newport Beach, CA
Salary
$230,000–$275,000 / yr
Employment
Full-time
Posted
4 days ago
Freshness
Confirmed live today
Closes
Oct 15, 2026 (soon)

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $194k
This role $252k
$134k $290k
below market most similar roles pay here above market

This role pays more than 80% of similar roles. Most pay $153,950–$233,525 — the blue band above. At the midpoint, this role pays about $252k versus about $194k for comparable roles.

Based on 240 similar postings.

Employer

About Pacific Life

Pacific Life is a life insurance company offering a wide range of life insurance, annuity, and investment products and services to individuals, businesses, and pension plans. Industry: Life Insurance & Annuities

Pacific Life currently has 47 open roles on FindRole.

Listed pay typically runs $159,840–$195,360 across 28 roles with salary data.

Most-posted roles

View all roles at Pacific Life

At a glance

TL;DR · AVP, Enterprise Data Platforms, Architecture & Governance

The AVP, Enterprise Data Platforms, Architecture & Governance joins the Data Organization to set the strategy and operating model for enterprise data architecture, governance, quality, and platform management. This leader will shape the enterprise data vision by connecting business strategy with modernization priorities and AI ambitions. Key responsibilities include championing a future-state architecture for scalability, advancing data stewardship and lineage, and maturing data operations through disciplined service management. The role requires managing a multi-year transformation agenda to ensure data is trusted, secure, and accessible for analytics. Candidates must possess expertise in Snowflake, AWS, Collibra, MDM solutions, DBT, Matillion, and enterprise analytics technologies. The position solves complex ownership challenges and technical debt by modernizing legacy environments within a highly regulated insurance and financial services context.

What you'll do

  • Set the strategy and operating model for enterprise data architecture, governance, and platform management.
  • Create a cohesive roadmap connecting business strategy, modernization priorities, and AI ambitions.
  • Champion a future-state data architecture that enables scalability and reduces complexity across the enterprise.
  • Advance data governance, stewardship, quality, metadata, and lineage capabilities to strengthen trust and accountability.
  • Drive the evolution of enterprise data platforms to balance innovation, performance, security, and cost efficiency.
  • Mature data operations through disciplined service management, operational controls, and continuous improvement practices.
  • Influence executive stakeholders to align priorities and resolve complex ownership challenges across business and technology functions.
  • Build and lead a high-performing organization of leaders and specialists across the enterprise data ecosystem.

What we're looking for

  • 15+ years of experience leading large-scale data, analytics, architecture, governance, or technology organizations.
  • 7+ years of experience leading leaders and cross-functional teams within complex enterprise environments.
  • Proven track record of shaping enterprise data strategies and translating vision into executable roadmaps.
  • Deep expertise across the data lifecycle, including architecture, governance, quality, metadata, lineage, and platform engineering.
  • Experience modernizing and scaling enterprise data ecosystems in highly regulated or complex operating environments.
  • Demonstrated ability to influence senior executives and align business, technology, risk, compliance, and governance stakeholders.
  • Strong business and financial acumen, including experience managing strategic vendor relationships and technology investments.
  • Experience leading enterprise data organizations within insurance, financial services, or similarly regulated industries (preferred).

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