Director of Data Science Production Engineering, Extended-Hours Support

About the Role

Direct the Extended-Hours Support (ExHS) engineering team within Natera's Data Science Production Engineering (DSPE) organization. Oversee the ExHS team's entire operation, ensuring timely and accurate data analytics support to production teams (e.g., product management, lab operations, lab director, and genetic counselor teams) within a CLIA/FDA regulated environment. Note: Availability during extended hours (early morning, late evening, and weekends) is required only during emergencies or critical events, not as a general expectation.

Responsibilities

• Team Leadership and Operations
  • Direct and mentor a team of 10+ ExHS data science support engineers and analysts providing coverage across standard and extended operational shifts.
  • Enforce operating procedures for compliance, quality, and efficiency.
  • Measure, report, and continuously improve team operational effectiveness.
  • Lead the team during critical production incidents or emergency events during and outside standard business hours.
• Technical Execution and Infrastructure
  • Develop and maintain technologies for operational visibility (e.g., via AWS QuickSight or Streamlit).
  • Develop and maintain technologies for operational efficiency.
  • Manage and execute analytics workflows on Snowflake and AWS infrastructure (Redshift, Athena, Batch, EC2, S3), ensuring strict compliance with CLIA, FDA, and internal quality management standards.
• Process Improvement
  • Improve operating procedures for compliance, quality, and efficiency.
  • Train and coach team members on new technologies, procedures, and best practices.
  • Identify areas for improvement within the DSPE ExHS team, develop solutions, and collaborate with DSPE teams to implement them.
• Cross-Functional Collaboration
  • Represent the ExHS teams in stakeholder meetings.
  • Proactively manage stakeholder expectations.
  • Establish regular stakeholder reporting mechanisms.
  • Translate complex analytical results into actionable recommendations for cross-functional partners.

Qualifications

• Master's degree in Statistics, Data Science, Bioinformatics, Computer Science, Mathematics, or Operations Research required; Doctorate degrees are a plus.
• Minimum 8 years of relevant industry experience with a Master's degree (or minimum 4 years with a Doctorate).
• Minimum 3 years of experience operating within a highly regulated environment (CLIA and/or FDA compliant settings).
• Minimum 3 years of management experience leading medium-sized teams (e.g., 7 to 20 engineers or analysts, or larger) in production support or operational roles.
• Working knowledge of diagnostic laboratory business processes and genomic/bioinformatics technologies.

Skills

• Proficient in data analysis and statistical techniques.
• Proficient in Python and SQL development.
• Hands-on experience with Snowflake platform technologies and AWS cloud analytics tooling (Redshift, Athena, Batch, EC2, S3).
• Demonstrated experience developing operational dashboards and analytical tools using AWS QuickSight, Streamlit, or equivalent platforms.
• Strong written and verbal communication skills, with a track record of building cross-functional trust and explaining technical data clearly.
• Ability to navigate operational ambiguity, establish structure where gaps exist, and resolve production bottlenecks directly.
• Good documentation practices and coding style.
• Strong integrity and collaborative team player.

Pay

Compensation range: $205,000—$256,200 USD. Final compensation will vary based on experience, qualifications, and internal equity considerations.

Benefits

• Annual performance incentive bonus.
• Long-term equity awards.
• Comprehensive health benefits (medical, dental, vision).
• 401(k) with company match.
• Generous paid time off and company holidays.
• Additional wellness and work-life benefits.
• Free testing for Natera employees and their immediate families, including fertility care benefits.
• Pregnancy and baby bonding leave.
• Commuter benefits.
• Generous employee referral program.