Associate Product Manager, Data Governance
New
T
ToastRestaurant technology
Location: Remote, USFull-TimeJunior
SalaryZone A $105,000 — $168,000 USD; Zone B $91,000 — $146,000 USD; Zone C $82,000 — $131,000 USD
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Job Details
- Experience
- 2+ years of professional experience in data governance, data management, product management, or analytics.
- Required Skills
- SQLProduct ManagementSnowflakedbtData management
Requirements
- Have 2+ years of professional experience in data governance, data management, product management, or analytics.
- Bring experience with modern data platforms, including Snowflake and dbt.
- Have experience with data catalogs such as DataHub, Alation, or Atlan, particularly for enterprise metadata and stewardship deployments.
- Demonstrate ability to implement data governance frameworks, business glossaries, and data domain models for core enterprise applications.
- Understand data management industry standards and best practices, metrics standardization, and metadata curation.
- Have experience using SQL for governance reporting, analytics, and data quality analysis.
- Communicate governance policies and lead cross-functional workshops for technical and non-technical audiences.
- CDMP certification or coursework toward certification is a nice to have.
- Familiarity with SOC 2, GDPR, CCPA, or DAMA-DMBOK is a nice to have.
- Experience with Monte Carlo, Great Expectations, or AI governance models is a nice to have.
Responsibilities
- Stand up dashboards to monitor adherence to data requirements across the organization.
- Support Data Governance Council working sessions and act as a subject matter expert for the enterprise Business Glossary.
- Partner with the data catalog team to streamline metadata standards and automate data discovery across business platforms and analytics tools.
- Develop governance documentation, stewardship training materials, and SOPs.
- Research data management frameworks and AI governance best practices to enhance enterprise data policies.
- Own governance dashboards, proactive compliance monitoring, and data quality tracking.
- Work with Engineering, Analytics, Legal, and other cross-functional partners to translate business definitions into technical metadata specifications.
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