Senior Manager of Enterprise Data Architecture

hagerty; United States; Remote; USD 180,000 - 240,000; Full time

Job summary

Hagerty seeks a Senior Manager of Enterprise Data Architecture to lead a team of seven data architects and shape the data strategy across the organization. You will own master data management for members, agents, and vehicles and partner with Data Engineering to deliver robust systems of record.

You will define validation standards, contribute to data governance, and guide data domains and analytics-driven AI assets. This role blends strategic leadership with hands-on architecture.

Qualifications

• Bachelor's degree in computer science, information systems, or a related field (or equivalent experience).
• 5+ years of data architecture experience, including at least 2 years managing people.
• Strong foundation in data architecture fundamentals and the DAMA-DMBOK framework.
• Deep experience in master data management and partnering with engineering teams to operationalize systems of record.
• Experience guiding the development of data domains, data products, and data assets that support analytics and AI.
• Entrepreneurial and pragmatic; know when to ship value now vs. invest in long-term foundation.
• Strong attention to detail and high standards for data models, definitions, and documentation.
• Clear communication; ability to influence decisions in a cross-functional setting.
• Experience managing vendors and third-party providers, including responsibility for deliverables and budgets.
• Ability to coach teams through ambiguity.

Responsibilities

• Lead and develop a team of seven data architects and provide career paths.
• Own Hagerty's master data management for members, agents, and vehicles; build a delivery plan and harden MDM systems of record.
• Define standards for attribute validation and certification with data providers or humans in the loop.
• Serve on the data governance team and provide architectural oversight and policy recommendations.
• Collaborate with business and technical leaders to develop data management policies.
• Guide design of data domains, data products, and data assets for AI solutions.
• Establish partnership boundaries with Data Engineering for clear ownership and handoffs.
• Optimize team workflows, including AI-assisted tooling for modeling, documentation, and design review.
• Oversee the quality of designs through review and coaching; step in when needed.
• Maintain an architectural vision aligned with Hagerty's enterprise architecture.

Skills

Data architecture

People leadership

Data governance

Communication

Strategic thinking

Vendor management

Coaching

Analytical mindset

Education

Bachelor's degree in computer science or related field

Tools

Snowflake

dbt

SQL

Python

erwin

ER/Studio

Atlan

SqlDBM

Job description

Say hello to Hagerty

Hagerty is a company built by drivers for drivers. We put our members at the center of everything we do and are dedicated to making it easier and more enjoyable for enthusiasts to drive and celebrate the machines they love. We're proud to be the world's largest insurer of collectible and enthusiast vehicles and are home to the Hagerty Drivers Club, the world's largest car club. Our Marketplace business presents live and digital sales across the U.S. and Europe, we host a number of driving events and concours, and our award-winning automotive journalists produce the most popular car magazine globally, alongside internationally awarded videos. We're committed to Never Stop Driving. Ready to get in the driver's seat? Join us!

As a Senior Manager of Enterprise Data Architecture

As a Senior Manager of Enterprise Data Architecture, you will lead our team of data architects and own the data management practices that make our data trustworthy at enterprise scale. You will set architectural direction for master data, analytic data domains, and the data assets that power our AI solutions, then partner with Data Engineering to turn that direction into production systems.

This role calls for someone with deep data architecture fundamentals, proven people leadership, and the judgment to balance near-term value against long-term goals.

What you'll do

• Lead and develop a team of seven data architects. Give them clear vision and context on the problems they are solving and build career paths that make growth transparent for every architect on the team.
• Own Hagerty's master data management practices for members, agents, and vehicles. Partner with Solution Architecture and Engineering to build a full delivery plan and harden MDM processes into quality certified systems of record.
• Define the standards for attribute validation and certification, whether through third-party data providers or human-in-the-loop verification.
• Serve on the data governance team, providing architectural oversight and policy recommendations that ensure data management practices are implemented effectively.
• Work with business and technical leaders across the organization to develop and refine data management policies that teams can practically adopt.
• Guide the design of data domains, data and analytic products, and data assets for AI solutions, with the goal of making analytic data domains available to every core business group.
• Establish clear partnership boundaries with Data Engineering so ownership, handoffs, and accountability are understood on both sides.
• Optimize how the team works, including adopting AI-assisted tooling for modeling, documentation, and design review.
• Oversee the quality of the team's designs through review and coaching, and step in directly when a problem calls for it.
• Maintain an architectural vision aligned with Hagerty's enterprise architecture that serves as a North Star for maturing the Enterprise Data domain.

This might describe you

• You have a bachelor's degree in computer science, information systems, or a related field (or equivalent experience).
• You have 5+ years of data architecture experience, including at least 2 years managing people.
• You have a strong foundation in data architecture fundamentals and the DAMA-DMBOK framework.
• You have deep experience in master data management and have partnered with engineering teams to operationalize systems of record.
• You have guided the development of data domains, data products, and data assets that support analytics and AI.
• You are entrepreneurial and pragmatic. You know when to ship something that delivers value now and when to invest in the long-term foundation.
• You have strong attention to detail and hold a high bar for the accuracy of data models, definitions, and documentation.
• You communicate clearly, can build a compelling narrative, and influence decisions in a cross-functional setting.
• You have managed vendors and third-party providers, including responsibility for deliverables and budgets.
• You are skilled at coaching your team through ambiguity.

Pluses

• Experience with Snowflake or other cloud data platforms
• Experience with dbt
• Experience with data modeling tools such as SqlDBM, erwin, or ER/Studio
• Experience with data catalog and governance tools such as Atlan
• Proficiency in SQL, with Python a bonus
• Experience working with third-party data validation or enrichment providers
• Experience applying AI-assisted tooling to architecture and modeling work

Other things to note

• This position is open to U.S. remote work. However, team members who reside within 20 miles of the Traverse City headquarters will follow a hybrid schedule, working from the office three days per week.
• May require travel for quarterly events.
• Familiarity with public company requirements, including Sarbanes Oxley and key regulations, if applicable. For SOX compliant roles, responsible for designing, executing, and documenting internal controls where they have been identified as owners to prevent errors in financial reporting, proce