Data Strategy Lead / Principal Data Strategist / Enterprise Data Architect

Relevance Lab; San Francisco (CA); On-site; USD 150,000 - 200,000; Full time

Job summary

Relevance Lab in San Francisco is seeking a senior data leader to drive data engineering, strategy, and transformation initiatives. You will design operating models, guide enterprise data strategies, and mentor cross-functional teams leveraging cloud platforms and ML.

Strong communication and stakeholder management are essential to influence at all levels across a global organization. This role requires a proven track record and hands-on technical excellence.

Qualifications

• 10+ years of experience in data engineering, data strategy, or digital transformation roles.
• Proven track record leading a major data or digital transformation end-to-end.
• Strong data engineering fundamentals: deep understanding of how data is structured, organized, modeled, and managed.
• Experience designing data operating models and enterprise data strategies.
• Hands-on experience with cloud data platforms, preferably Snowflake.
• AI/ML knowledge to identify use cases, guide implementation, and embed ML in business processes.
• Strong program and project management skills, with the ability to drive execution across global, cross-functional teams.
• Excellent stakeholder management and communication skills, influencing across all levels.

Skills

Data engineering

Data strategy

Digital transformation

Leadership

Data modeling

Data management

Data operating model

Enterprise data strategy

AI/ML knowledge

Use cases identification

ML implementation

Program management

Tools

Snowflake

Job description

• 10+ years of experience in data engineering, data strategy, or digital transformation roles
• Proven track record leading a major data or digital transformation end-to-end
• Strond data engineering fundamentals deep understanding of how data is structured, organized, modeled, and managed
• Experience designing data operating models and enterprise data strategies
• Hands-on experience with cloud data platforms, preferably Snowflake
• AI and machine learning knowledge ability to identify use cases, guide implementation, and embed ML capabilities into business processes
• Strong program and project management skills, with the ability to drive execution across global, cross-functional teams
• Excellent stakeholder management and communication skills comfortable influencing without authority at all levels of the organization