6 дней назад
Director, Data Product Engineering (AI)
186 700 - 233 400$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Director, Data Product Engineering (AI): Building and scaling certified, AI-ready domain data products and self-service analytics experiences on the Natera Data Platform with an accent on data mesh architecture, regulated healthcare delivery, and AI-native engineering. Focus on standardizing golden paths, improving engineering productivity 3–5x, enforcing data quality and compliance, and leading teams across Snowflake, AWS, Claude, dbt, Fivetran, Sigma, Python, and Airflow.
Location: US Remote
Salary: $186,700–$233,400 USD annually
Company
develops cell-free DNA testing and personalized genetic diagnostics for oncology, women's health, and organ health.
What you will do
- Lead the delivery of cross-functional data products, analytics experiences, and Golden KPIs on the Data Platform.
- Create an operating model using embedded data and AI engineers across business domains.
- Define publishing standards, golden paths, certification processes, metadata, lineage, ownership, and discovery for headless data products.
- Drive AI-native engineering through agentic SDLC practices, AI-assisted development, automated testing, and measurable productivity improvements.
- Enforce production standards including CI/CD, infrastructure as code, data observability, data quality, drift detection, HIPAA, RAQA, and data classification requirements.
- Hire, coach, and develop data and analytics engineers while reviewing architecture and code and partnering with business stakeholders.
Requirements
- 10+ years of data engineering experience and 5+ years leading data or analytics engineering teams at Director level.
- Hands-on expertise with Python, SQL, dbt models, pipeline debugging, and architecture decisions.
- Experience shipping production data products with measurable adoption and leading teams using AI-assisted development.
- Regulated-environment experience in healthcare, life sciences, diagnostics, or pharma, including real HIPAA compliance and PHI handling.
- Experience with Snowflake, AWS, Claude, dbt, Fivetran, Sigma, Airflow or Dagster, CI/CD, and infrastructure as code.
- Strong knowledge of data mesh, headless domain-owned data products, engineering standards, operating models, and executive communication.
Nice to have
- Diagnostics, genomics, or clinical data engineering experience with BAM, VCF, or FASTQ.
- Experience with vector databases, embeddings, or RAG architectures.
- Experience implementing data contracts and enterprise agentic tooling such as Claude Code.
Culture & Benefits
- Remote work within the United States.
- Medical, dental, vision, life, and disability plans for eligible employees and dependents.
- Free testing for employees and immediate family members, plus fertility care benefits.
- Pregnancy and baby bonding leave, 401(k) benefits, commuter benefits, and an employee referral program.
- Inclusive collaboration across scientific, medical, engineering, and business disciplines.
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