Data Product Governance Lead

Jobgether SRL; United States; Remote; USD 150,000 - 175,000; Full time

Benefits offered by this job

Fully remote work

High-responsibility governance role

Job summary

Jobgether SRL is seeking a Data Product Governance Lead in the United States. This strategic, hands-on role focuses on making data products discoverable, trusted, well-documented, and ready for broad consumption on a modern cloud data platform.

You will own the standards, controls, and capabilities that enable publishers and consumers to work efficiently with data. You will shape catalog, lineage, metadata, certification, data quality, and data contracts, while driving governance across the

Qualifications

• Hold a Bachelor's degree or equivalent practical experience.
• Bring 7+ years of experience across data governance, data products, data platforms, data architecture, analytics engineering, or related fields.
• Hands-on experience implementing governance capabilities such as data catalogs, metadata management, and lineage.
• Define and implement data product standards for ownership, certification, documentation, discoverability, and lifecycle management.
• Establish data quality and data contract standards including freshness, completeness, and schema versioning.
• Knowledge of RBAC, data classification, masking, and row/column-level access controls.

Responsibilities

• Define and continuously improve standards for data products before publication.
• Automate publication checks, certification criteria, and quality controls with platform tooling.
• Create reusable templates and guidance for domain teams to meet standards with minimal overhead.
• Shape metadata, lineage, data quality, and data contracts with clear readiness indicators.
• Collaborate with Data Platform engineers to implement dataset-specific quality rules.
• Own backlog and roadmap for catalog, metadata, lineage, publication, and related capabilities.
• Work hands-on with catalog and lineage platforms to support discovery and trust.
• Translate governance requirements into engineering-ready specs and acceptance criteria.
• Monitor governance and adoption metrics like metadata completeness and catalog usage.
• Lead a governance function as the platform matures.

Skills

Governance

Data products

Data platforms

Analytics engineering

Technical product management

Stakeholder management

Communication

Platform tooling

Education

Bachelor's degree

Tools

Snowflake Horizon Catalog

Snowflake

Job description

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Data Product Governance Lead based in United States.

This is a strategic and hands‑on data governance leadership role focused on making data products discoverable, trusted, well‑documented, and ready for broad consumption. You will define the standards, controls, and capabilities that enable data publishers and consumers to work effectively within a modern cloud data platform. The role combines governance strategy with technical product ownership, working closely with Data Platform engineers to turn requirements into scalable platform capabilities and automated controls. You will shape catalog, lineage, metadata, certification, data quality, and data contract practices while supporting secure and governed data use. As the platform matures, you will also have the opportunity to build and lead a dedicated governance function. This remote position offers significant influence over how data products are published, managed, discovered, and consumed across the organization.

• Define and continuously improve the standards that data products must meet before being published for broader consumption, including ownership, business and technical definitions, authoritative sources, refresh expectations, lineage, quality measures, classification, access requirements, and data contracts.

• Establish publication and certification requirements aligned with a medallion architecture, ensuring data progresses from raw and standardized layers into trusted, reusable data products with clear readiness indicators.

• Partner with Data Platform engineers to automate publication checks, certification criteria, quality controls, and other governance requirements wherever practical.

• Develop reusable templates, patterns, and guidance that help domain teams consistently meet data publication and documentation standards without creating unnecessary administrative overhead.

• Establish standards for metadata, lineage, data quality, and data contracts, including freshness, completeness, validity, consistency, schema versioning, ownership, service expectations, and change management.

• Partner with domain teams and engineers to implement dataset‑specific quality rules and monitoring, while ensuring data quality and health indicators are visible to consumers through the data catalog.

• Translate enterprise classification, privacy, security, and access standards into practical data product requirements and platform controls, including RBAC, tagging, masking, and row‑and‑column‑level access controls.

• Establish repeatable access patterns that enable self‑service data consumption while protecting PII and other sensitive information, including requirements for approved AI and agent‑based data use.

• Own the backlog and roadmap for catalog, metadata, lineage, publication, certification, and related data governance capabilities, prioritizing improvements based on user and business needs.

• Work hands‑on with Snowflake Horizon Catalog and other platform capabilities supporting discovery, metadata, lineage, classification, and data trust.

• Treat data publishers and consumers as platform customers by gathering feedback, identifying friction and unmet needs, and translating those insights into prioritized engineering requirements and enhancements.

• Define and monitor governance and adoption metrics such as metadata completeness, lineage coverage, quality coverage, certified product adoption, catalog usage, and time to publish.

• Collaborate with Data Platform engineers, domain teams, Analytics, Software Engineering, Architecture, Security, and business stakeholders to establish ownership, improve publishing patterns, and advance the broader data governance strategy.

• As the platform matures, build and lead a small governance function that supports consistent adoption of data product standards and practices.

Requirements:

• Hold a Bachelor's degree or equivalent practical experience in a relevant discipline.

• Bring 7+ years of experience across data governance, data products, data platforms, data architecture, analytics engineering, technical product management, or related fields.

• Have hands‑on experience implementing governance capabilities such as data catalogs, metadata management, and lineage within a modern cloud data platform.

• Demonstrate experience defining and implementing data product standards covering ownership, certification, documentation, discoverability, and lifecycle management.

• Have experience establishing data quality and data contract standards, including freshness, completeness, schema versioning, service expectations, and change management.

• Possess working knowledge of platform governance controls such as RBAC, data classification, masking, and row‑and‑column‑level access.

• Have experience owning a technical product backlog or roadmap and prioritizing platform capabilities according to user and business requirements.

• Be experienced in working directly with data engineers and translating policies, governance requirements, and user needs into clear, engineering‑ready specifications and acceptance criteria.

• Demonstrate strong communication and stakeholder‑management skills, with the ability to influence business and technology teams without direct reporting authority.

• Experience with Snowflake, Snowflake Horizon Catalog, or comparable catalog and lineage platforms is preferred.

• Experience with medallion architecture, federated or domain‑oriented data product models, and modern data publication patterns is highly desirable.

• Experience automating metadata, quality, contract, or publication requirements through pipelines, APIs, CI/CD, or platform tooling is a plus.

• Experience working in regulated, security‑sensitive, or compliance‑driven environments, particularly with PII and other sensitive enterprise data, is desirable.

• Familiarity with governing schemas and contracts for streaming or messaging environments such as Kafka or MuleSoft, as well as self‑service data discovery, publishing, or access capabilities, is beneficial.

• Familiarity with data governance for AI and agent‑based use cases is an additional advantage.

• Be able to perform the essential functions of the role in a primarily computer‑based environment and maintain regular, punctual attendance consistent with applicable workplace standards.

Benefits:

• Annual salary range of $150,000–$175,000.

• Fully remote work arrangement.

• Opportunity to shape data governance standards and capabilities across a modern cloud data platform.

• Significant ownership of the data product governance roadmap, catalog, lineage, certification, metadata, and related platform capabilities.

• Opportunity to build and lead a dedicated governance function as the platform matures.

• Cross‑functional collaboration with Data Platform engineering, Analytics, Software Engineering, Architecture, Security, and business teams.