Manager, Data Governance

Constellation Brands•Chicago, IL
•$98,800 - $177,600

About The Position

Constellation Brands is seeking a Manager, Data Governance to lead its governance team and evolve the company’s governance program as the business adopts AI. The manager will lead governance analysts and oversee data product governance, metadata management, PII governance, data classification, and the data catalog. The role owns standards that provide business context so data can be understood and trusted by people and AI-powered solutions. As the organization develops AI-ready data capabilities, the manager will expand practices for context, semantic models, ontologies, and other structures that support consistent interpretation and responsible reuse of data. This is a technical and change-oriented role that goes beyond traditional policy-focused governance. The manager will run day-to-day governance operations, guide the direction and adoption of the Atlan data catalog, and establish standards and lifecycle controls for business definitions, metadata, glossary content, certification, semantic models, and ontologies. The role partners with security, privacy, analytics engineering, architecture, AI teams, and domain teams to implement governance practices. It also explores and applies approaches such as automation and AI-assisted metadata and classification. The position is based in Chicago, Illinois, with an additional location in Rochester, New York. The role is full time. The stated salary range is $98,800 to $177,600. Benefits for eligible employees include paid time off, medical, dental, and vision insurance, and a 401(k).

Requirements

  • At least 5 years of experience in data governance, data management, analytics, BI, or a related data discipline.
  • Demonstrated experience leading people, programs, or cross-functional initiatives.
  • Hands-on SQL skills and comfort working directly with data to investigate issues and validate metadata and classification.
  • Working knowledge of governance fundamentals, including metadata, classification, stewardship, data privacy, and data ownership, with the ability to deepen that knowledge quickly.
  • Proven change management experience driving adoption of processes or tools across teams that do not report to you.
  • Strong technical aptitude and ability to learn new platforms and understand how they work.
  • Experience coaching team members and managing competing priorities.
  • Clear communication with technical, business, and leadership audiences.

Nice To Haves

  • Experience with modern data and governance tools, such as Atlan, Snowflake, Microsoft Purview, Cyera, Power BI, Microsoft Fabric, Jira, SQL, or comparable catalog, data platform, and work management tools.

Responsibilities

  • Lead and develop governance analysts by setting priorities, coaching, and building technical skills.
  • Run day-to-day governance operations and own the team’s Jira workflow and backlog to support visible intake, prioritization, delivery, and consistent status reporting.
  • Own the direction of the Atlan data catalog platform, including configuration decisions, metadata quality, and business adoption.
  • Own data product governance, including metadata standards, publication requirements, and ownership roles such as product owners, stewards, and custodians.
  • Lead implementation and ongoing operation of PII governance and data classification standards in partnership with security and privacy teams on policy, controls, and access decisions.
  • Establish and evolve standards for data context, including business definitions, required metadata, glossary content, certification criteria, semantic models, and ontologies.
  • Define governance expectations, ownership, and lifecycle controls, and partner with analytics engineering, architecture, and AI teams on implementation and validation.
  • Drive adoption of governance standards across domain teams through practical processes, templates, training, and hands-on support.
  • Explore and test ways to scale governance, such as automation and AI-assisted metadata and classification, and put effective approaches into practice.

Benefits

  • Paid time off
  • Medical insurance
  • Dental insurance
  • Vision insurance
  • 401(k)
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