IT Architect Advisor – Enterprise Architecture, Data and AI

Role Overview

• 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.

Requirements

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

Tech Stack

• Azure
• BigQuery
• Cloud

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)