Medtronic · 9 hours ago
IT Architect Advisor - Enterprise Architecture Data and AI
Mansfield, Massachusetts, United States of America
Full-time
Onsite
Senior Level, Lead/Staff
$180K/yr - $270K/yr
15+ years expMedtronic is a leader in global healthcare technology, committed to addressing challenging health problems through innovative solutions. They are seeking an Enterprise Architect for Data and AI to provide architectural leadership and guide the development of scalable data and AI solutions that align with the company's strategic goals. The role involves collaborating with various teams to ensure data governance and compliance while driving innovation in healthcare technology.
Artificial Intelligence (AI)BiotechnologyHealth CareHealth DiagnosticsMedical Device
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
Qualification
Required
Bachelor's degree
15+ years of experience with a bachelor's degree or 13+ years of experience with an advanced degree
Preferred
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
Benefits
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
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)
Capital Accumulation Plan (available to Vice Presidents and above, or subject to IRS earning minimums)
Company
Medtronic
Medtronic is a healthcare technology company that designs and develops AI-based products and solutions for the medical industry.
10001+ employees
H1B Sponsorship
Medtronic 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 (349)
2024 (387)
2023 (291)
2022 (310)
2021 (300)
2020 (261)
Funding
Current Stage
Public CompanyTotal Funding
$18.16BKey Investors
NHS EnglandBlackstone Life SciencesTrade Capital Funding
2025-09-15Post Ipo Debt· $1.76B
2024-05-29Post Ipo Debt· $3.24B
2023-03-23Post Ipo Debt· $2B
Leadership Team
Geoffrey Martha
CEO and Chairman Of The Board Of Directors
Linnea Burman
SVP & President, Neurovascular
Recent News
2026-01-22
Bizjournals.com Feed (2025-11-12 15:43:17)
2026-01-22
Company data provided by crunchbase