Director, Data Product Engineering

For our client, we are seeking a Director, Data Product Engineering to join the team of a leader in the Pharmaceuticals & Biotech space.

This leader will shape how analytics and data products are delivered across the organization, with a focus on production-ready solutions that support both operational teams and AI-enabled use cases. The role will partner closely with embedded engineers and cross-functional stakeholders to establish scalable standards, improve delivery efficiency, and strengthen data quality in a regulated environment. The ideal candidate will bring a strong technical foundation, experience leading teams, and the ability to turn data engineering practices into measurable business adoption and impact.

Location: Remote - US based candidates only, no visa sponsorship available

Compensation: $186,700 – $233,400 annually

Responsibilities

• Lead end-to-end delivery of cross-functional data and analytics products.
• Create an operating model for delivering analytics through embedded data and AI engineers.
• Track key performance indicators related to delivery efficiency and product adoption.
• Establish and enforce standards for building semantically correct, AI-ready data products.
• Develop templates and patterns to facilitate standardized product development across domains.
• Drive AI-native engineering practices and significantly improve team productivity.
• Ensure high-quality data products meet regulatory and operational standards.

Qualifications

• 10+ years of experience in data engineering and 5+ years in a Director-level role leading data or analytics teams.
• Hands-on experience with Python and SQL, including debugging and reviewing models.
• Proven track record of delivering data products to production with measurable adoption.
• Experience in regulated environments, particularly healthcare and life sciences, with knowledge of HIPAA compliance.
• Familiarity with modern data stack tools such as Snowflake, AWS, dbt, and Airflow.
• Knowledge of data mesh principles and headless data products for AI and human consumption.
• Experience implementing AI-assisted development practices and defining standards across teams.

Benefits

• Remote work opportunities across the USA.
• Comprehensive health and wellness programs.
• Professional development and training resources.
• Flexible work hours and environments.
• Collaborative culture focused on innovation and team growth.

Our client is an equal opportunity employer. We encourage you to apply even if you don’t meet every qualification—your background could be exactly what this team needs.