Associate Director, Data Engineering (AI)

Location: Hybrid, requiring 3 days per week in office in the New York City or Boston metro areas. Applicants in the Research Triangle, NC, and San Francisco Bay Area may also be considered. Apply only if residing in these locations or willing to relocate.

Total compensation: $213,500–$267,000 annually, plus equity, benefits, and perks.

Company

hirify.global is a technology- and AI-driven pharmaceutical company building platforms and capabilities to accelerate drug development and clinical trials.

What you will do

• Lead, hire, coach, and develop a team of data engineers, including performance management and mentoring.
• Set the technical direction and roadmap for data engineering across data quality, governance, scalability, and stakeholder experience.
• Oversee the architecture and maintenance of data ingestion, orchestration, transformation, and the Snowflake warehouse across development, staging, and production.
• Partner with Data Science, Analytics, Clinical Operations, Biostatistics, Data Management, and Business Development to deliver pipelines and data models for reporting, asset evaluation, analytics, and ML.
• Establish strong data quality, observability, lineage, documentation, access control, auditability, and traceability practices for clinical and sensitive data.
• Manage support coverage, incident response and retrospectives, budgeting, resourcing, reporting, and technical knowledge sharing.

Requirements

• 7+ years of combined hands-on data engineering and people management experience, including 3+ years managing data engineers, analytics engineers, or similar roles.
• Demonstrated success hiring, developing, and retaining engineers while setting clear expectations and providing actionable feedback.
• Experience directing teams that use AI tools, including LLMs and agentic coding systems, responsibly in daily engineering work.
• Strong knowledge of modern data stack tooling, including Snowflake, Dagster or Airflow, dbt, and batch versus streaming tradeoffs.
• Working knowledge of Python, SQL, Docker, GitHub, Terraform or OpenTofu, data governance, access control, auditability, testing, and observability.
• Experience coordinating technical projects and programs, including budgeting, estimation, tracking, reporting, and cross-functional collaboration.

Nice to have

• Experience with pharmaceutical, biotechnology, or broader life-sciences industry data.

Culture & Benefits

• AI-native engineering organization using modern AI tools as a core part of development workflows.
• Equity, comprehensive benefits, and generous perks.
• Hybrid work model with a focus on key U.S. hiring hubs.
• Inclusive, diverse, and equal-opportunity work environment.