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IT Architect Advisor - Enterprise Architecture Data and AI

Job in Fort Worth, Tarrant County, Texas, 76102, USA
Listing for: Medtronic
Full Time position
Listed on 2026-02-28
Job specializations:
  • IT/Tech
    AI Engineer, Data Engineer, Cloud Computing, Systems Engineer
Salary/Wage Range or Industry Benchmark: 100000 - 125000 USD Yearly USD 100000.00 125000.00 YEAR
Job Description & How to Apply Below

Overview

We anticipate the application window for this opening will close on - 13 Mar 2026

At Medtronic you can begin a life-long career of exploration and innovation, while helping champion healthcare access and equity for all. You’ll lead with purpose, breaking down barriers to innovation in a more connected, compassionate world.

A Day in the Life

This role will serve as the Enterprise Architect for Data and AI, providing technical, architectural, and thought leadership across the enterprise and owning the definition of the data and AI vision and strategic direction for Medtronic IT. Medtronic supports in-person collaboration and currently operates onsite 4 days a week to foster growth and cross-functional teamwork. Potential work locations include Mounds View, MN;
Fort Worth, TX;
Fridley, MN (OHQ);
Lafayette, CO;
Irvine, CA (UCI);
Boston, MA;
Rice Creek, MN; and Jacksonville, FL.

The Enterprise Architect for Data and AI will provide end-to-end architectural leadership for data and AI, ensuring scalable analytics, advanced insights, and AI-driven business outcomes aligned with enterprise strategy and long-term transformation goals.

The ideal candidate will have hands-on experience across application development, enterprise architecture, and data and analytics platforms, spanning both on-premises and public cloud environments. This includes deep expertise in relational and non-relational data stores, OTLP environments, and modern data warehouse and lakehouse architectures. Experience in Med Tech or other regulated industries is a strong advantage.

This role requires a strong, opinionated point of view and the ability to establish end-to-end data and AI architectures with authority, supported by technical depth and practical implementation experience. The role includes architectural leadership for AI and machine learning systems, data governance, privacy, regulatory, and security considerations, and ensuring designs are secure, compliant, and capable of delivering measurable business impact.

We value diversity and inclusion. Medtronic fosters an inclusive culture where colleagues from diverse backgrounds contribute to innovation and success. We are committed to inclusion, diversity, and equity (&E) with zero barriers to opportunity, and strive to address systemic inequities in our communications to achieve sustainable impact.

Join Medtronic to shape a career in IT that changes lives and transform healthcare. We offer training, mentorship, and opportunities for professional growth.

Responsibilities
  • Serve as the Enterprise Architect for Data and AI, acting as the primary architectural authority for data, analytics, AI, and GenAI initiatives across the enterprise.
  • Define, guide, and influence end-to-end architectures for data and AI solutions, ensuring alignment with business strategy, enterprise standards, platform roadmaps, and transformation objectives.
  • Collaborate with Enterprise Architecture, Data Platforms, Advanced Analytics, SAP COE, IT Value Streams, and Business teams to shape scalable, secure, compliant, and future-ready solution designs.
  • Provide hands-on architectural guidance across the full lifecycle of data and AI solutions, including data ingestion, transformation, feature engineering, analytics, model development, deployment, monitoring, and lifecycle management.
  • Advise on AI and data platform strategy, including cloud-native data platforms, analytics services, ML platforms, GenAI services, vector databases, orchestration frameworks, and integration patterns.
  • Establish and evolve reference architectures, architectural patterns, and design guardrails for Data and AI to promote reuse, reduce technical debt, and accelerate delivery.
  • Ensure data governance, privacy, security, and Responsible AI principles are embedded into solution designs in partnership with Security, Privacy, and Compliance stakeholders, particularly in regulated environments.
  • Review and influence architectural decisions to avoid unnecessary customization and maximize leverage of enterprise-standard platforms and native capabilities.
  • Support innovation and digital transformation initiatives by identifying pragmatic applications…
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