Director, Data Enablement

This is a fully remote position, open to applicants in United States.

📋 Description

• Develop and oversee the operational framework of our data organization.

• Manage the complete data product lifecycle, from ingestion to utilization.

• Lead our data engineering teams (Bronze/Silver/Gold architecture), the reporting function, and a versatile contractor team dedicated to our highest-priority data projects.

• Collaborate across the organization to provide the data each team requires to perform their tasks.

• Work closely with our Analytics & Data Science team.

• Take ownership of the strategy, roadmap, and implementation of our data platform.

• Define and uphold data products across our Bronze/Silver/Gold architecture.

• Manage the protocol for handoffs from Analytics.

• Establish and operationalize a data governance framework.

• Foster a culture where "trusted data" is an essential standard.

• Oversee both internal and customer-facing reporting.

• Implement review and quality assurance processes that instill confidence in every number stakeholders encounter.

• Design and enhance the Gold layer as the primary consumption layer for AI, ML, and product applications.

• Lead and nurture an internal team along with flexible contractor support.

⛳️ Requirements

• 8–12+ years of experience in data engineering, data platform, or analytics engineering positions, including at least 3–5 years in a leadership role.

• Proven experience in building or enhancing a data governance framework in a production setting.

• A track record of operationalizing data products from research or experimental outputs into reliable, governed production systems.

• Experience with modern data stack tools (e.g., dbt, Snowflake/Databricks/BigQuery, Airflow or similar, data catalog tools).

• Established ability to integrate within and gain trust from business stakeholders — managing upwards, downwards, and laterally across the organization.

• Strong project and product management skills — capable of providing structure and delivery discipline to technically proficient but execution-challenged teams.

• Technically credible enough to earn respect from skilled data engineers without needing to be the top engineer in the room.

• Comprehensive understanding of medallion architecture (Bronze/Silver/Gold) and the distinct needs of different consumers across each layer.

• Familiarity with AI/ML data requirements — including feature stores, model monitoring, data versioning, and the practical implications of "AI-ready" data.

🏝️ Benefits

• Various health and medical coverage options.

• Dental and vision coverage.

• Disability and life insurance coverage.

• Monthly medical waiver allowance.

• Remote-first work environment.

• Flexible paid time off.

• Summer Fridays.

• Employer-matched 401k plan.

• Monthly phone stipend.

• First Stop Health membership benefit.