Director of Data

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

📋 Description

• Lead and expand a team of reporting and data engineers while establishing a new data science function.

• Make strategic decisions regarding team structure, including recruitment, skill enhancement, and role adjustments.

• Recruit and onboard data engineers, analytics engineers, and data scientists.

• Implement contemporary data team practices such as code reviews, documentation, and on-call responsibilities.

• Oversee the migration process from Crystal Reports and Oracle to Databricks and Power BI.

• Set timelines for decommissioning legacy systems.

• Develop sustainable in-house expertise to reduce dependency on contractors.

• Define standards for architecture, data modeling, and engineering.

• Establish practices for data governance, quality assurance, and observability.

• Outline the charter and collaboration model for the data science function.

• Prioritize the development of data capture, pipelines, and infrastructure for upcoming AI/ML product features.

• Translate product AI goals into specific data requirements.

• Implement practices for data quality, labeling, and accessibility.

• Create and communicate a multi-year data roadmap.

• Act as the primary contact for data strategy with senior leadership.

• Manage budget and relationships with vendors and contractors.

• Provide updates on progress, risks, and trade-offs during the transition.

⛳️ Requirements

• Over 8 years of experience in data engineering, analytics engineering, or data leadership positions, including at least 3 years in management roles.

• Demonstrated experience in leading a migration from legacy to modern data platforms.

• Direct experience with Databricks and Power BI or a similar modern cloud data/BI stack.

• Experience in building or scaling a data science or analytics function, including hiring initial team members.

• Strong understanding of data architecture, data modeling, and data governance principles.

• Experience in managing external contractors/vendors and transitioning work internally.

• Exceptional communication skills and the ability to present data strategy and trade-offs to senior/executive stakeholders.

• Familiarity with legacy enterprise reporting tools such as Crystal Reports and relational databases like Oracle.

• Experience in preparing data infrastructure for machine learning or AI product features.

• Background in product-led or SaaS organizations.

• Knowledge of data governance and privacy/compliance issues relevant to HR and Healthcare.

🏝️ Benefits

• Comprehensive benefits package.

• Paid Time Off (PTO).

• Medical insurance.

• Dental insurance.

• Vision insurance.

• 401(k) plan with matching contributions.

• Robust Employee Assistance Program (EAP).

• Wellness program.