Director of Data Science Production Engineering, Extended-Hours Support

Natera•San Carlos, CA

2h•$205,000 - $256,200

About The Position

This is an exciting opportunity to direct the Extended-Hours Support (ExHS) engineering team within Natera's Data Science Production Engineering (DSPE) organization. In this leadership role, you will oversee the ExHS team's entire operation, ensuring the team's timely and accurate data analytics support to production teams, e.g., product management team, lab operations teams, lab director teams, and genetic counselor teams, within a CLIA/FDA regulated environment. Important Note: This Director needs to be available during the extended hours (e.g., early morning, late evening, and weekend hours) during emergencies or other critical events. The Director does not require general availability during the extended hours, but only during emergencies or other critical events during the extended hours.

Requirements

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., of 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.
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.
Team player, collaborative.

Nice To Haves

Doctorate degrees are a plus.

Responsibilities

Direct and mentor a team of 10+ ExHS data science support engineers and analysts providing coverage across standard and extended operational shifts, for the timely and accurate data analytics support for production teams.
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.
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), and ensure strictly compliance to CLIA, FDA, and internal quality management standards.
Improve operating procedures for compliance, quality, and efficiency.
Train and coach team members on new technologies, procedures, and guidelines/best practices.
Identify areas for improvement within the DSPE ExHS team, develop improvement solutions, and/or work with DSPE teams to implement such solutions.
Represent the Extended-Hours Support (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.