Principal, Data Strategy and Architecture

NMDP

Lead NMDP’s enterprise data strategy, architecture, and governance directions. Driving a modern, scalable, AI‑ready data ecosystem that enables trusted insights across the organization.

Posted 5/5/2026full-timeMinneapolis • Minnesota • 🇺🇸 United StatesLeadWebsite

Tech Stack

Tools & technologies

Cloud

About the role

Key responsibilities & impact

Provide technical leadership to own data strategy and operationalize NMDP’s approved enterprise data strategy.
Translate strategic objectives into target‑state architectural principles, standards, and reference designs.
Ensure alignment across data platforms, data products, and governance frameworks as the organization transitions from current data environments to an AI‑native architecture.
Drive alignment and adoption of the data strategy by effectively communicating vision, value, and tradeoffs to diverse stakeholder groups.
Serve as the most senior technical authority for enterprise data architecture in partnership with Enterprise Architecture and IT.
Define and maintain target‑state architecture patterns for data platforms, interoperability, metadata, lineage, and master data management.
Evaluate and guide major technology and architectural decisions to ensure long‑term scalability, security, and interoperability.
Influence the modernization of legacy systems toward a unified, governed, cloud‑enabled data ecosystem.
Provide technical guidance to support data governance models with ownership embedded in enterprise business domains.
Define architectural and technical standards for data quality, metadata, lineage, access, consent, and privacy.
Ensure governance approaches support regulatory compliance, donor and patient trust, and responsible use of data and AI/ML.
Guide architectural approaches that enable analytics, data engineering, and AI/ML capabilities across domain and product teams.
Define technical standards and enablement approaches for data products, shared analytics tooling, platform services, and MLOps.
Ensure AI/ML solutions are explainable, governed, monitored, and aligned with ethical, clinical, and regulatory expectations.
Function as a technical bridge between clinical, research, operational, and technology teams.
Partner with product, platform, and domain leaders to ensure architectural alignment without direct delivery responsibility.
Communicate complex data and architecture concepts clearly to technical and non‑technical stakeholders, including senior leaders.
Advise leadership on emerging data, analytics, and AI architectural trends relevant to NMDP’s mission.
Support executive‑led evaluation of external data partnerships and research collaborations as requested.
Champion ethical, transparent, and equitable use of data across the organization.

Requirements

What you’ll need

Bachelor’s degree in computer science, Engineering, MIS, or a related technical field; equivalent experience may be considered.
12 or more years of experience in data architecture, data platforms, analytics, or related technical roles.
Demonstrated experience operating as a senior individual contributor or technical authority in complex enterprise environments.
Knowledge of enterprise AI native data architecture, modern data platforms, and analytics ecosystems.
Knowledge of data governance frameworks, stewardship models, and data lifecycle management.
Knowledge of metadata management, data quality, lineage, access control, and data trust principles.
Knowledge of cloud‑native data architectures and AI‑enabled analytics capabilities.
Knowledge of interoperability standards and complex data domains (clinical, research, operational).
Knowledge of regulatory, privacy, and trust considerations in healthcare, research, or similarly regulated environments.
Knowledge of architectural evaluation and long‑term platform sustainability.

Benefits

Comp & perks

NMDP offers regular, full-time employees medical, dental, vision, life and disability, accident/critical illness/hospital, well-being, legal, identity theft and pet benefits.
Retirement, paid time off/holidays, leave and incentive plans are also offered to eligible employees.

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Hard Skills & Tools

data architecturedata platformsanalyticsAI native architecturedata governance frameworksmetadata managementdata qualitycloud-native architecturesinteroperability standardsdata lifecycle management

Soft Skills

technical leadershipcommunicationinfluencecollaborationadvisingguidancechampioning ethical use of datastakeholder engagementvision articulationtradeoff analysis