IT Architect Advisor – Enterprise Architecture, Data and AI
United States
Full Time
4 days ago
$180,000 - $270,000 USD
H1B Sponsor
Key skills
AzureBigQueryCloudAIMachine LearningMLGenAILarge Language ModelsMLOpsData EngineeringAnalyticsSnowflakeDatabricksSAPLeadershipCommunication
About this role
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)