Data Governance Engineer at Domino's Pizza LLC

Ann Arbor, Michigan, United States -

Full Time

Start Date

Immediate

Expiry Date

07 Jun, 26

Salary

110000.0

Posted On

09 Mar, 26

Experience

0 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Data Governance, Data Management, Data Modeling, Analytics, Stakeholder Support, Requirements Gathering, Metadata Management, Data Catalog, Data Definition, Basic Data Modeling, Python, Databricks Metric View, Data Quality, Documentation, Flowcharts, Visualization

Industry

Restaurants

Description

Company Description Domino’s Pizza, which began in 1960 as a single store location in Ypsilanti, MI, has had a lot to celebrate lately: we’re a reshaped, reenergized brand of honesty, transparency and accountability – not to mention, great food! In the rise to becoming a true technology leader, the brand is now consistently one of the top five companies in online transactions and 65% of our sales in the U.S. are taken through digital channels. The brand continues to ‘deliver the dream’ to local business owners, 90% of which started as delivery drivers and pizza makers in our stores. That’s just the tip of the iceberg…or as we might say, one “slice” of the pie! If this sounds like a brand you’d like to be a part of, consider joining our team! Job Description Location: 30 Frank Lloyd Wright Dr. Ann Arbor, MI 48105 Type: Hybrid- Monday-Thursday onsite with Friday's being remote A proactive and detail-oriented Data Governance Analyst to contribute to enterprise-wide data governance initiatives. This role plays a key part in supporting the consistency, clarity, and usability of data across departments. The ideal candidate will bring foundational experience in data management, a working knowledge of data modeling and analytics tools, and a strong ability to collaborate with cross-functional teams. This position offers the opportunity to grow into a strategic data governance leader by working closely with senior analysts and business stakeholders to define and standardize key data elements, relationships, and metrics. Key Responsibilities: Stakeholder Support & Requirements Gathering Assist in scheduling and documenting stakeholder interviews. Capture initial definitions of KPIs, metrics, and business terms. Help facilitate workshops and take notes to support alignment efforts. Metadata & Data Definition Maintenance Populate and update metadata repositories or data catalogs under supervision. Ensure definitions are tagged correctly and follow naming conventions. Flag inconsistencies or gaps in definitions for review by senior analysts. Basic Data Modeling Support Assist in documenting table relationships and entity mappings. Use tools like ER diagrams or spreadsheets to visualize simple data structures. Validate foreign key relationships and report anomalies. Metric Logic Implementation (Entry-Level) Support the creation of basic Python scripts/Databricks Metric View for metric calculations. Test and validate logic created by senior analysts. Maintain a library of reusable scripts and templates. Governance Standards Compliance Apply existing governance policies to new data assets. Participate in data quality checks and report issues. Help enforce metadata tagging and naming conventions. Documentation & Visualization Create simple flowcharts, diagrams, and documentation for internal use. Translate technical concepts into user-friendly guides for business users. Maintain version control of documentation and ensure accessibility. Qualifications 0–2 years of experience in data analysis, governance, or related fields Basic understanding of relational databases and data modeling Exposure to Python for data manipulation Strong attention to detail and willingness to learn Good communication and organizational skills Additional Information Base Salary: 90-110k All your information will be kept confidential according to EEO guidelines. Job Category Org: Domino’s Technology Location Name - Location Code: Domino's Pizza LLC-WHQ

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Responsibilities

This role involves supporting enterprise-wide data governance initiatives by assisting with stakeholder interviews, capturing definitions for KPIs and metrics, and maintaining metadata repositories and data catalogs under supervision. Key tasks also include supporting basic data modeling, implementing entry-level metric logic using Python/Databricks, and ensuring compliance with governance standards.