Natera · 19 hours ago
Director, Data and AI Governance
United States
Full-time
Remote
Director/Executive
$217K/yr - $271K/yr
15+ years expNatera is a global leader in cell-free DNA testing, focusing on oncology, women’s health, and organ health. They are seeking a Director of Data & AI Governance to establish and lead enterprise-wide data management programs that ensure safe, compliant, and high-quality data and AI, overseeing governance across various domains while integrating technical governance into engineering delivery.
BiotechnologyGeneticsHealth DiagnosticsMedicalWomen's
Responsibilities
Define enterprise data management strategy and operating model and ensure that it is executed consistently across the enterprise
Chair and operationalize the AI & Data Governance Council, driving decision-making and accountability across legal, regulatory, compliance, IT, security, engineering, and product
Lead a federated stewardship model, ensuring business units own data while governance enforces consistency and compliance
Establish governance forums (steering committees, working groups, architecture boards) with clear outcomes
Build and drive adoption of 360° master/reference datasets (e.g., Case360, Patient 360, Provider 360, Billing 360) and ensure they are maintained as sources of truth for analytics and AI
Partner with engineering teams to build interoperable standards that can be used to connect domain datasets to create longitudinal data products
Define and enforce enterprise data governance policies, ensuring consistency in data definitions, lineage, and stewardship across all domains
Build and manage enterprise data catalogs and metadata services to make data discoverable, trustworthy, and reusable across the organization
Establish and operate data quality frameworks with validation rules, anomaly detection, and automated testing to ensure accuracy, completeness, and timeliness
Embed data quality checks and lineage tracking directly into data and AI pipelines so that governance guardrails can be adopted without friction
Develop AI use case risk management framework (RMF) to evaluate AI use cases from a governance, regulatory, medical, privacy, security, and risk standpoint
Build and maintain an AI risk register and incident response plan for all AI use cases
Develop governance policies (privacy, security, quality, fairness, integrity) aligned to HIPAA, CLIA, FDA, GDPR, and emerging AI regulations
Translate policies into technical implementations by embedding controls into: ETL pipelines, feature stores, and model registries, CI/CD workflows for ML/GenAI models, Prompt orchestration and output logging for LLMs
Build and execute agentic automation processes and associated guardrails to enable business process automation
Build documentation and process to ensure agent accountability through change history, audit logs, versioning etc
Track external regulatory trends and industry standards (e.g., NIST AI RMF, EU AI Act, FDA AI/ML guidance)
Lead AI change management initiatives, including training programs, awareness campaigns, and a network of governance champions to drive adoption of best practices
Partner with Corporate Communications to cascade governance updates, AI guardrails, and usage guidelines across all levels of the organization
Develop and enforce vendor and third-party AI evaluation frameworks, assessing external AI tools for governance, data security, model risk, and compliance posture before integration
Track and manage vendor AI risks through standardized assessments, approvals, and monitoring processes
Qualification
Required
15+ years in Data or AI governance with at least 7+ in leadership roles
Excellent stakeholder management and executive communication skills
Proven track record of building and leading enterprise-wide governance programs, councils, and stewardship networks that span both data governance (catalogs, lineage, quality) and AI/ML governance (model risk, bias/fairness, explainability, monitoring)
Deep understanding of healthcare regulatory frameworks impacting AI: HIPAA, CLIA, FDA, GDPR, and regulations (EU AI Act, NIST AI RMF, Japan AI Promotion Act)
Experience with LLM/GenAI governance implementation as per common regulatory frameworks: prompt logging, bias testing, guardrails, explainability
Experience in vendor AI/ML evaluation and governance, including due diligence of third-party AI/ML tools and platforms
Preferred
Certifications in data governance, privacy, or risk management (DAMA CDMP, CIPP, CRISC)
Advanced degree (MS/PhD) in Computer Science, AI/ML, engineering or related field
Experience driving AI change management and building a culture of responsible AI adoption (training, awareness, champion networks)
Proven experience embedding governance in code (pipelines, registries, CI/CD)
Benefits
Comprehensive medical, dental, vision, life and disability plans for eligible employees and their dependents
Free testing in addition to fertility care benefits
Pregnancy and baby bonding leave
401k benefits
Commuter benefits
Generous employee referral program
Company
Natera
Natera specializes in cell-free DNA testing to provide a more targeted interventions to oncology, women's health, and organ health.
5001-10000 employees
H1B Sponsorship
Natera has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (90)
2024 (72)
2023 (37)
2022 (71)
2021 (64)
2020 (40)
Funding
Current Stage
Public CompanyTotal Funding
$1.16BKey Investors
Sofinnova InvestmentsLightspeed Venture PartnersSequoia Capital
2023-09-07Post Ipo Equity· $250M
2022-11-15Post Ipo Equity· $400.05M
2022-03-16Post Ipo Equity· $5M
Leadership Team
Steve Chapman
CEO
Jonathan Sheena
Co-Founder, Board Member
Recent News
2026-01-22
Business Wire
2026-01-22
2026-01-22
Company data provided by crunchbase