Senior Data Governance Analyst

Leprino Foods Company•Denver, CO

2d•$90,000 - $102,000•Onsite

About The Position

Within our Corporate Finance team located in Denver, Leprino is seeking a Senior Data Governance Analyst (Master Data) to guide how master data is structured, governed, and applied across the business. This highly visible role defines data standards, maintains data dictionaries and business rules, and improves data quality to support how products move from concept to production and beyond!

Requirements

Bachelor’s degree with five or more years of relevant experience, or a Master’s degree with three or more years of relevant experience.
Three or more years of direct experience in data governance, master data management, or closely related roles.
Hands-on experience with SAP S/4 and master data concepts across enterprise systems.
Demonstrated experience building or maintaining data dictionaries and business rules used by cross-functional teams.

Nice To Haves

Master’s degree in information systems, business, data, or a related field.
Experience defining data quality metrics and using them to guide improvement efforts.
Background supporting cross-functional initiatives that require alignment across Operations, IT, Finance, and Commercial teams.
Experience working in a manufacturing or consumer products environment with complex product lifecycles.

Responsibilities

Guide enterprise data governance practices that shape how master data is defined, governed, and used across Leprino systems.
Establish and maintain data dictionaries and business rules that support accurate product setup, supply chain execution, and reporting.
Lead governance discussions that resolve cross-functional data questions and confirm shared understanding of standards and definitions.
Partner with Supply Chain, Operations, Finance, IT, and Commercial teams to align data needs with business initiatives.
Review data quality trends and metrics, identify systemic issues, and recommend governance or process changes that prevent recurrence.
Define and track data quality measures that reflect compliance, accuracy, and business impact.
Support future-state data initiatives by advising on governance implications, dependencies, and readiness.
Translate business needs into clear data requirements and decision frameworks that teams can apply consistently.
Coordinate master data validation efforts while focusing on root causes, not day-to-day maintenance.
Communicate governance expectations clearly through documentation, training materials, and working sessions.
Provide visibility into governance health through reporting, analysis, and concise updates to leaders.
Build strong working relationships that encourage collaboration, transparency, and shared ownership of data outcomes.