Data Strategy/Governance Lead-Onsite in Mountain View, CA

Relevance Lab; Mountain View (CA); On-site; USD 140,000 - 190,000; Full time

Job summary

Relevance Lab in Mountain View, CA is seeking a Data Strategy/Governance Lead to drive digital transformation by defining data strategy, strengthening governance, and improving how data is managed and used across the organization.

The role combines data fundamentals with project management and stakeholder coordination, translating business needs into practical data solutions and guiding data operating models, pipelines, and cloud platforms.

Qualifications

• 6–9 years of experience in data engineering, data management, data strategy, analytics, or digital transformation.

Responsibilities

• Support development and execution of the organization’s data strategy and roadmap.
• Assess current data capabilities and identify gaps in governance, quality, accessibility, and management.
• Help design and implement data operating models, governance processes, and ownership structures.
• Partner with business and technology teams to define data requirements and priorities.
• Coordinate data-related projects, timelines, risks, dependencies, and deliverables.
• Work with data engineering and architecture teams on data models, pipelines, integration, and cloud data platforms.
• Support Snowflake and other modern data platform initiatives.
• Help identify AI, machine learning, and analytics use cases aligned with business needs.
• Develop and track KPIs for data quality, governance, adoption, and project progress.
• Prepare presentations, status updates, and recommendations for stakeholders.

Job description

Data Strategy/Governance Lead-Onsite in Mountain View, CA

About the Role

The Data Strategy/Governance Lead will support digital transformation initiatives by helping define and execute data strategy, strengthen data governance, and improve how data is managed and used across the organization. The ideal candidate will combine strong data fundamentals with project management, stakeholder coordination, and the ability to translate business needs into practical data solutions.

Responsibilities

• Support development and execution of the organization’s data strategy and roadmap.
• Assess current data capabilities and identify gaps in governance, quality, accessibility, and management.
• Help design and implement data operating models, governance processes, and ownership structures.
• Partner with business and technology teams to define data requirements and priorities.
• Coordinate data-related projects, timelines, risks, dependencies, and deliverables.
• Work with data engineering and architecture teams on data models, pipelines, integration, and cloud data platforms.
• Support Snowflake and other modern data platform initiatives.
• Help identify AI, machine learning, and analytics use cases aligned with business needs.
• Develop and track KPIs for data quality, governance, adoption, and project progress.
• Prepare presentations, status updates, and recommendations for stakeholders.

Qualifications

• 6–9 years of experience in data engineering, data management, data strategy, analytics, or digital transformation.

Required Skills

• Strong understanding of data modeling, integration, pipelines, governance, and data quality.
• Experience supporting data transformation initiatives or major data workstreams.
• Experience with cloud data platforms; Snowflake preferred.
• Familiarity with data operating models, metadata, lineage, and governance frameworks.
• Exposure to AI and machine learning use cases.
• Strong project management and stakeholder coordination skills.
• Ability to translate technical concepts into clear business outcomes.