Enterprise Architect - Remote

UnitedHealth Group•Minnetonka, MN

1d•$134,600 - $230,800•Remote

About The Position

Optum Tech is a global leader in health care innovation. Our teams develop cutting-edge solutions that help people live healthier lives and help make the health system work better for everyone. From advanced data analytics and AI to cybersecurity, we use innovative approaches to solve some of health care’s most complex challenges. Your contributions here have the potential to change lives. Ready to build the next breakthrough? Join us to start Caring. Connecting. Growing together. The Director - Architecture is a senior leadership role responsible for defining and driving enterprise architecture strategy, enabling scalable, secure, and high-impact technology solutions across complex business domains. This role provides architectural leadership for large-scale, cross-functional initiatives and ensures alignment between business objectives, data strategies, and technology platforms. The individual will play a critical role in shaping next-generation capabilities, including AI/ML and advanced analytics-driven solutions. Experience in Data Science, AI/ML, or Generative AI initiatives, and exposure to US Healthcare Payer domain, particularly Claims and Payment Integrity, is highly desirable. You’ll enjoy the flexibility to work remotely from anywhere within the U.S. as you take on some tough challenges. For all hires in the Minneapolis or Washington, D.C. area, you will be required to work in the office a minimum of four days per week.

Requirements

Bachelor’s or Master’s degree in Computer Science, Engineering, or related field
13+ years of experience in architecture, software engineering, or related technical roles
8+ years in enterprise architecture for large-scale, complex systems
5+ years of experience with at least one major cloud platform: AWS, Azure, or GCP
Experience with application architecture, system integration, and distributed systems
Experience building and deploying applications in cloud-based environments
Experience with leadership and stakeholder management skills, with the ability to influence across teams
Experience driving architecture decisions for complex, cross-functional programs
Proficiency in Python or similar programming languages
Demonstrated ability to create and communicate architecture diagrams and design patterns
Solid strategic thinking and enterprise mindset
Ability to influence and align senior stakeholders
Excellent communication and storytelling skills for executive audiences
Proven ability to lead ambiguity and drive large transformation initiatives
Solid focus on innovation, scalability, and business impact
Candidates are required to pass a drug test before beginning employment.

Nice To Haves

Experience in Data Science, AI/ML, or Generative AI projects
Experience with cloud platforms (Azure, AWS, or GCP) and modern data ecosystems
Familiarity with MLOps, DataOps, and large-scale data platforms (e.g., Databricks, Spark)
Exposure to US Healthcare Payer domain, especially: Claims processing, Payment Integrity / Fraud, Waste & Abuse (FWA)

Responsibilities

Define and drive enterprise architecture vision, strategy, and roadmap aligned to business priorities
Develop scalable, reusable architecture patterns and standards to accelerate solution delivery
Lead architectural decision-making across complex, multi-domain initiatives, ensuring alignment with enterprise goals
Evaluate emerging technologies (AI/ML, GenAI, data platforms) and translate them into actionable enterprise capabilities
Leverage enterprise-approved AI tools to enhance productivity and innovation by streamlining workflows and automating repetitive tasks
Evaluate emerging trends to drive continuous improvement and strategic innovation
Lead architecture for enterprise-scale, complex systems spanning data, AI/ML, applications, and platform layers
Ensure design of high-performance, reliable, secure, and scalable solutions
Guide teams on system integration, data flow, model lifecycle, and platform architecture
Establish best practices for architecture governance, design reviews, and solution standardization
Provide architectural oversight for AI/ML, GenAI, and advanced analytics initiatives
Enable design of end-to-end data and ML pipelines including ingestion, transformation, modelling, deployment, and monitoring
Drive adoption of modern AI platforms (e.g., cloud, MLOps frameworks, agent-based systems)
Partner with Data Science and Engineering teams to productionize intelligent solutions
Act as a key liaison across business, product, engineering, data, and leadership teams
Translate complex technical concepts into business-aligned outcomes
Drive alignment across multiple stakeholders, including senior leadership and external partners
Influence decision-making through architecture governance, recommendations, and thought leadership
Establish and enforce enterprise architecture standards, frameworks, and best practices
Improve system efficiency through rationalization, reuse, and standardization
Ensure compliance with security, regulatory, and data governance requirements
Drive continuous improvement in performance, reliability, and cost efficiency