Sr. Data Governance & Quality Systems Lead

Philips•Plymouth, MN
•$129,000 - $205,000•Onsite

About The Position

The Sr. R&D Data Governance & QMS Manager will establish data readiness, governance, and quality processes that support scalable AI innovation. The role ensures datasets, partnerships, and platforms are compliant, reusable, and ready to support growth across multiple programs worldwide. The position establishes and improves the IGT Devices R&D data-governance and QMS framework for software, AI, hardware-generated, and experimental data. It leads governance and QMS work for data arrangements involving hospitals, research sites, vendors, and cross-business units, taking those arrangements through controlled release. In partnership with clinical and partnership leads and Legal, Privacy, Quality, Security, and Procurement, the role defines intended use, data rights, residency, cross-border constraints, controls, approvals, and obligations. The role embeds approved requirements into data intake and processing, including de-identification, access, data contracts, metadata, lineage, quality checks, release gates, regional or federated processing, retention, and deletion. It enables compliant reuse for software and AI and operates stewardship, training, metrics, controlled documentation, and audit readiness. It also coordinates evidence, remediation, and continuous improvement for audits and medical-device inspections. This is an office role. Office-based teams work in person at least three days per week. The employee must reside in or within commuting distance of Plymouth, Minnesota. US work authorization is required; sponsorship is not available. Relocation benefits are not provided. The listed Minnesota base-pay range is $129,000–$205,000; additional compensation may include an annual incentive bonus, sales commission, or long-term incentives.

Requirements

  • At least 5 years of experience with a bachelor's degree, or at least 3 years with a master's degree, leading data governance and QMS processes in medical devices, healthcare, life sciences, or another regulated environment.
  • Experience including federated stewardship, controlled documentation, training, and audit or inspection readiness.
  • Strong understanding and application of HIPAA and GDPR, including data residency, localization, cross-border transfer, regional processing, de-identification or anonymization, and re-identification risk.
  • Expertise leading dataset-level privacy-risk assessments and translating findings into documented release decisions, permitted uses, and technical controls.
  • Ability to translate governance and QMS requirements into technical controls and audit evidence.
  • Experience with AI/ML data governance.
  • Bachelor’s or master’s degree in data management, informatics, engineering, computer science, quality, regulatory, privacy, or a related field, or 9+ years of related experience in lieu of a degree.
  • Strong written and verbal communication skills and demonstrated ability to influence and align stakeholders across functions without direct authority.
  • Must reside in or within commuting distance of Plymouth, Minnesota.
  • US work authorization; candidates requiring work-authorized visa sponsorship now or in the future will not be considered.

Nice To Haves

  • AI governance or risk management experience.
  • HITRUST de-identification training.
  • CIPP, CIPM, CIPT, CDMP, CRISC, or ISO/IEC 27559 certification.

Responsibilities

  • Establish and improve the IGT Devices R&D data-governance and QMS framework for software, AI, hardware-generated, and experimental data.
  • Define common standards, decision rights, federated stewardship, metadata, lineage, and data quality.
  • Lead governance and QMS workstreams for data arrangements involving hospitals, research sites, vendors, and cross-business units through controlled release.
  • Work with clinical and partnership leads and Legal, Privacy, Quality, Security, and Procurement to define intended use, data rights, residency, cross-border constraints, controls, approvals, and obligations.
  • Embed approved requirements into data intake and processing, including de-identification, access, data contracts, metadata, lineage, quality checks, release gates, regional or federated processing, retention, and deletion.
  • Enable compliant data reuse for software and AI.
  • Operate stewardship, training, metrics, controlled documentation, and audit readiness.
  • Coordinate evidence, remediation, and continuous improvement for audits and medical-device inspections.
  • Influence and align stakeholders across functions without direct authority.

Benefits

  • Generous paid time off (PTO).
  • 401(k) with up to 7% company match.
  • Health savings account (HSA) with company contribution.
  • Stock purchase plan.
  • Education reimbursement.
  • Comprehensive Philips Total Rewards benefits program.
  • Additional compensation, such as an annual incentive bonus, sales commission, or long-term incentives, may be offered.
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