Manager of Data Science Production Engineering,Data Engineering & Delivery US Remote Job Northern Kentucky USA,IT/Tech

Position: Manager of Data Science Production Engineering, Data Engineering & Delivery New US Remote
Location: Northern

Manager of Data Science Production Engineering, Data Engineering & Delivery

US Remote

This is an exciting opportunity to lead a Data Engineering & Delivery (DED) team at Natera, a global leader in precision medicine and genomics testing. As a Manager of the DED team inside our Data Science Production Engineering (DSPE) department, you will have the opportunity to work with Natera's diverse and ultra-large data sets (up to PB size), develop innovative solutions with the latest information and cloud technologies, and make real impact by providing timely, accurate, and robust data products and data delivery/automation systems to support Natera's Lab Operations and Genetic Counselor/Lab Director teams, and ultimately impact patients' medical outcomes.

PRIMARY RESPONSIBILITIES:
Leadership

Lead a Data Engineering & Delivery (DED) team, collectively develop and maintain the data infrastructure, data ingestion solutions, ETL pipelines, robust data products, and data delivery solutions, for both production support and DSPE internal applications.
Manage the Data Engineering & Delivery (DED) team, to achieve the timely and efficient delivery of robust data products and systems that can meet DSPE business needs and project requirements.
Measure, report, and maintain/improve operational effectiveness.
Train and coach team members on new technologies, procedures, and guidelines/best practices.

Technical

Lead the Data Engineering & Delivery (DED) team, collectively develop and maintain the data infrastructure, data ingestion solutions, ETL pipelines, robust data products, and data delivery solutions, for both production support and DSPE internal applications
Translate DSPE's business needs and project requirements into technical specifications and implementation plans.
Working with DSPE leadership teams, create design documents that can be efficiently implemented and maintained, for data system architecture, data ETL pipeline, data delivery solution, and other data systems/tools/components.
Contribute to key development, testing, deployment, validation, maintenance, and update activities on data products and data systems/tools/components, as well as data delivery tasks.

Quality, Compliance, and Documentation

Improve and enforce operating procedures for compliance, quality, and efficiency.
Create training materials, and contribute to training activities, on DSPE Data Engineering & Delivery (DED) team owned data products and data systems.

Cross-Functional

Engage proactively and directly with internal and external stakeholders to align development roadmaps, resolve dependencies, and exchange performance metrics.
Represent the Data Engineering & Delivery (DED) team in stakeholder meetings.

QUALIFICATIONS:

Masters degree in Statistics, Data Science, Bioinformatics, Computer Science, Mathematics, Management Science, Operational Research, or other related fields. Doctorate degrees are a plus.
Minimal 5 years of relevant industry experience for candidates with a Master's Degree. Minimal 2 years of relevant industry experience for candidates with a Doctorate degree.
Minimal 2 years of working experience in a highly regulated environment, e.g., CLIA and/or FDA compliant settings.
Minimal 2 years of management experience leading a Data Engineering team, a Data Production/Delivery team, or a Data Analytics team, with demonstrable evidence of leadership and team management skills.

KNOWLEDGE, SKILLS, AND ABILITIES:

Strong proficiency in SQL and Python programming languages. Proficiency in R is a plus.
Proficiency in data analysis and statistical techniques.
Proficiency in data visualization tools (e.g., Tableau, Power BI, AWS Quick Sight).
Strong SQL skills in developing robust and maintainable queries to extract and/or aggregate data from complex data sources.
Attention to detail and a commitment to data accuracy.
Proficiency in building data products, e.g., data aggregation, extraction, transformation, and QC. Past working experience in dbt is a plus.
Excellent problem-solving and critical-thinking abilities.
Working knowledge of genomics and bioinformatics workflows. Human genetics knowledge is a plus.
Proficiency in Git workflow and version…