IT Architect Advisor - Enterprise Architecture Data and AI

Medtronic•Mounds View, MN

8d•Onsite

About The Position

We anticipate the application window for this opening will close on - 6 Feb 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 At Medtronic, we bring bold ideas forward with speed and decisiveness to put patients first in everything we do. In-person exchanges are invaluable to our work. We're working onsite 4 days a week as part of our commitment to fostering a culture of professional growth and cross-functional collaboration as we work together to engineer the extraordinary. In your role, you may work from the following Medtronic sites: • Mounds View, Minnesota • Fort Worth, Texas • Fridley, Minnesota (OHQ) • Lafayette, Colorado • Irvine, California (UCI) • Boston, Massachusetts • Rice Creek, Minnesota • Jacksonville, Florida In this role, you 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. You will be responsible for shaping and guiding end-to-end data and AI architectures that enable scalable analytics, advanced insights, and AI-driven business outcomes while remaining aligned with enterprise strategy and long-term transformation goals. The ideal candidate brings extensive hands-on experience across application development, enterprise architecture, data and analytics platforms, spanning both on-premises and public cloud environments. It requires deep expertise across relational and non-relational data stores, including strong experience in OTLP environments as well as traditional and modern data warehouse and lakehouse architectures. Experience in MedTech or other highly 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 detailed technical depth and practical implementation experience. The Enterprise Architect for Data and AI will analyze current and emerging enterprise needs and propose optimal architectures that balance business value, scalability, security, and operational sustainability. The role also encompasses architectural leadership for AI and machine learning systems, including integration of AI into enterprise data platforms, analytics workflows, and business processes. A strong understanding of data standards, governance, privacy, regulatory, and security implications is essential, particularly within a highly regulated environment. The successful candidate will ensure that data and AI solutions are designed responsibly, securely, and in compliance with enterprise and regulatory requirements while enabling innovation and measurable business impact. We believe that when people from different cultures, genders, and points of view come together, innovation is the result —and everyone wins. Medtronic walks the walk, creating an inclusive culture where you can thrive. Our unwavering commitment to inclusion, diversity, and equity (ID&E) means zero barriers to opportunity within Medtronic and a culture where all employees belong, are respected, and feel valued for who they are and the life experiences they contribute. We know equity starts beyond our workplace, and we must play a role in addressing systemic inequities in our communications to achieve long-term sustainable impact. Anchored in our Mission, we continue to drive ID&E forward both to enhance the well-being of Medtronic employees and to accelerate innovation that brings our lifesaving technologies to more people in more places around the world. Bring your talents to an industry leader in medical technology and healthcare solutions – we’re a market leader and growing every day. You can be proud to be a part of technologies that are rooted in our long history of mission-driven innovation. You will be empowered to shape your own career. We encourage and support your growth with the training, mentorship, and guidance you need to own your future success. Together, we can transform healthcare. Join us for a career in IT that changes lives. Medtronic is committed to fostering a diverse and inclusive culture. Check out the accomplishments of our Women in IT group! http://bit.ly/MedtronicWomeninIT CAREERS THAT CHANGE LIVES

Requirements

Bachelor’s degree
15+ years of experience with a bachelor’s degree or 13+ years of experience with an advanced degree

Nice To Haves

Bachelor’s or advanced degree in Computer Science, Information Technology, Engineering, or relevant discipline; advanced degree strongly preferred
Experience with SAP data and analytics landscapes, including S/4HANA, BDC, Data Sphere, MDG, and SAP-native analytics and integration patterns.
Hands-on exposure to GenAI architectures, including large language models, retrieval-augmented generation (RAG), prompt engineering, and AI-enabled workflows.
Experience defining or applying Responsible AI frameworks, AI governance models, or ethical AI practices.
Prior experience in medical technology, healthcare, or other highly regulated industries.
Familiarity with enterprise architecture frameworks and tooling, while maintaining a pragmatic, outcome-driven mindset.
15+ years of IT experience with deep, hands-on expertise in data engineering, data architecture, and analytics platforms.
7+ years of experience designing and influencing enterprise-scale data architectures, including data warehouses, data lakes/lakehouses, and real-time or event-driven data platforms.
Strong experience with public cloud platforms and cloud-native data services such as Snowflake, Databricks, BigQuery, Azure Synapse, or equivalent technologies.
Demonstrated experience working with AI, machine learning, and GenAI solutions, including understanding of model lifecycle management, MLOps concepts, and enterprise AI integration patterns.
Deep understanding of data governance, metadata management, data quality, privacy, and security, especially within highly regulated environments.
Proven ability to influence without direct authority, working across multiple teams and stakeholders to drive alignment and high-quality architectural outcomes.
Strong written and verbal communication skills, with the ability to translate complex technical concepts into clear, actionable guidance for both technical and non-technical audiences.
Track record of staying current with emerging trends in data, AI, and GenAI, and applying them thoughtfully within enterprise constraints.

Responsibilities

Serve as the Enterprise Architect for Data and AI, acting as the primary architectural authority and trusted advisor 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 long-term transformation objectives.
Partner closely with Enterprise Architecture, Data Platforms, Advanced Analytics, SAP COE, IT Value Streams, and Business teams to shape solution designs that are scalable, secure, compliant, and future-ready.
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, minimize parallel or duplicative solutions, and maximize leverage of enterprise-standard platforms and native capabilities.
Support innovation and digital transformation initiatives by identifying pragmatic applications of emerging data and AI technologies and advising where they can deliver tangible business outcomes.
Act as a technical thought leader and mentor to architects and senior engineers across the organization, helping raise overall architectural maturity in Data and AI domains.
Communicate complex architectural concepts clearly and effectively to a broad audience, including senior IT leadership and business stakeholders, translating technical decisions into business impact.

Benefits

Medtronic offers a competitive Salary and flexible Benefits Package
A commitment to our employees lives at the core of our values. We recognize their contributions. They share in the success they help to create. We offer a wide range of benefits, resources, and competitive compensation plans designed to support you at every career and life stage.
Health, Dental and vision insurance, Health Savings Account, Healthcare Flexible Spending Account, Life insurance, Long-term disability leave, Dependent daycare spending account, Tuition assistance/reimbursement, and Simple Steps (global well-being program).
Incentive plans, 401(k) plan plus employer contribution and match, Short-term disability, Paid time off, Paid holidays, Employee Stock Purchase Plan, Employee Assistance Program, Non-qualified Retirement Plan Supplement (subject to IRS earning minimums), and Capital Accumulation Plan (available to Vice Presidents and above, or subject to IRS earning minimums).

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