Natera
Natera1h ago
New
USD 205000-256200/yr

Director of Data Science Production Engineering, Extended-Hours Support

United StatesUnited States·San Carlosexecutive
DataData Manager
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Quick Summary

Key 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,

Requirements Summary

Master's degree in Statistics, Data Science, Bioinformatics, Computer Science, Mathematics, or Operations Research required; Doctorate degrees are a plus.

Technical Tools
DataData Manager

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.

Responsibilities

~1 min read
  • 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.

Requirements

~1 min read
  • 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.

What We Offer

~2 min read

This range reflects a good-faith estimate of the base pay we reasonably expect to offer at the time of  hire. Final compensation will vary based on experience, qualifications, and internal equity considerations.

This position is also eligible for additional compensation and benefits through Natera’s robust Total Rewards program, including:

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

Natera™ is a global leader in cell-free DNA (cfDNA) testing, dedicated to oncology, women’s health, and organ health. Our aim is to make personalized genetic testing and diagnostics part of the standard of care to protect health and enable earlier and more targeted interventions that lead to longer, healthier lives.

The Natera team consists of highly dedicated statisticians, geneticists, doctors, laboratory scientists, business professionals, software engineers and many other professionals from world-class institutions, who care deeply for our work and each other. When you join Natera, you’ll work hard and grow quickly. Working alongside the elite of the industry, you’ll be stretched and challenged, and take pride in being part of a company that is changing the landscape of genetic disease management.

Location & Eligibility

Where is the job
San Carlos, United States
On-site at the office
Who can apply
Open to applicants worldwide

Listing Details

Posted
August 19, 2026
First seen
August 19, 2026
Last seen
August 19, 2026

Posting Health

Days active
0
Repost count
0
Trust Level
79%
Scored at
August 19, 2026

Signal breakdown

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Natera
Natera
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Natera is a global leader in cell-free DNA (cfDNA) testing, specializing in reproductive health, oncology, and organ transplantation.

Employees
3k+
Founded
2004
View company profile
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NateraDirector of Data Science Production Engineering, Extended-Hours SupportUSD 205000-256200