Manager, Intelligence Systems & AI

UnitedHealth Group is hiring a Manager, Intelligence Systems & AI to build and operate AI-enabled intelligence capabilities and knowledge systems supporting Communications. The role translates intelligence frameworks and business requirements into scalable workflows, integrates data and platforms, and establishes quality and governance practices.

Responsibilities

• Develop and Operate Intelligence & AI Capabilities Build, configure, test, and continuously improve AI-enabled intelligence capabilities, knowledge repositories, retrieval systems, and decision-support workflows that support external sense-making and communications decision-making
• Build Knowledge & Information Foundations Develop and maintain taxonomies, metadata standards, knowledge structures, and information models that make intelligence consistent, discoverable, reusable, and machine-readable
• Translate Expert Judgment into Scalable Workflows Translate established intelligence frameworks, ontologies, analytical methods, and risk logic into structured knowledge, prompts, agent instructions, and AI-enabled workflows that support more consistent sense-making and decision support
• Enable Intelligence Data Define functional requirements for structured and unstructured intelligence data and partner with Data and Technology teams on ingestion, transformation, metadata, entity resolution, retrieval, refresh, and availability
• Integrate Platforms, Data & Knowledge Connect intelligence platforms, enterprise knowledge sources, AI technologies, and emerging data assets into practical, reusable workflows that allow teams and AI agents to work across previously fragmented information
• Prototype and Operationalize New Capabilities Rapidly prototype new tools and workflows, test them with users, diagnose performance issues, and refine successful approaches for reliable ongoing use
• Establish Quality & Governance Implement evaluation, testing, provenance, human-review, and governance practices that ensure AI-enabled intelligence capabilities remain reliable, transparent, secure, and fit for purpose

Preferred

• Master's degree in Information Science, Analytics, Computer Science, Information Systems, Business, Communications, Library Science, or a related field
• Experience with enterprise AI platforms, Microsoft Copilot, Copilot Studio, agentic systems, workflow-automation platforms, retrieval systems, enterprise search, or generative AI solutions
• Experience designing or testing AI agents, retrieval-augmented generation, prompt and context systems, or reusable AI workflows
• Experience with AI evaluation, governance, testing frameworks, provenance, human-in-the-loop processes, or quality assurance
• Experience working with listening, research, intelligence, network, stakeholder, or other structured and unstructured external data
• Experience within Communications, Corporate Affairs, Public Affairs, consulting, intelligence, or another information-intensive environment
• Familiarity with semantic modeling, knowledge graphs, ontology implementation, APIs, entity resolution, systems integration, or enterprise content-management concepts
• Master's Degree
• Library Science
• Enterprise AI Platforms
• Microsoft Copilot
• Copilot Studio
• Agentic Systems
• Workflow Automation Platforms
• Generative AI Solutions
• AI Agent Design
• AI Agent Testing
• Retrieval-Augmented Generation
• Prompt Systems
• Context Systems
• Reusable AI Workflows
• AI Evaluation
• AI Governance
• Testing Frameworks
• Data Provenance
• Human-in-the-Loop Processes
• Quality Assurance
• Listening Data
• Research Data
• Intelligence Data
• Network Data
• Stakeholder Data
• Structured Data
• Unstructured Data
• Corporate Affairs
• Public Affairs
• Consulting
• Information-Intensive Environments
• Semantic Modeling
• Knowledge Graphs
• Ontology Implementation
• APIs
• Entity Resolution
• Systems Integration
• Enterprise Content Management

Benefits

• Work remotely from anywhere within the U.S.; hires in the Minneapolis or Washington, D.C. area are required to work in the office a minimum of four days per week.
• Development for other roles you may be interested in.
• A comprehensive benefits package, subject to eligibility requirements.
• Incentive and recognition programs, subject to eligibility requirements.
• Equity stock purchase, subject to eligibility requirements.
• 401k contribution, subject to eligibility requirements.

Company

• Health benefits and technology-enabled care services
• Eden Prairie, Minnesota, USA
• https://www.unitedhealthgroup.com/
• Founded in 1977
• 10001+ employees

Qualifications

• Bachelor's degree in Information Science, Knowledge Management, Data Analytics, Computer Science, Information Systems, Communications, Business, Digital Strategy, Library & Information Science, or a related field
• 5+ years of experience in knowledge management, information architecture, applied AI, analytics, intelligence operations, data management, communications technology, digital strategy, or related disciplines
• Experience building or configuring technical workflows, systems, tools, or process improvements based on business or intelligence requirements
• Experience working with structured and unstructured information, knowledge repositories, metadata, taxonomies, enterprise search, retrieval systems, or content-management platforms
• Experience working with AI-enabled workflows, automation, generative AI, or related technologies
• Proven ability to translate between business users, subject-matter experts, data teams, and technologists
• Proven solid problem-solving, technical curiosity, organizational skills, and ability to independently move work from concept through implementation
• Master's degree in Information Science, Analytics, Computer Science, Information Systems, Business, Communications, Library Science, or a related field
• Experience with enterprise AI platforms, Microsoft Copilot, Copilot Studio, agentic systems, workflow-automation platforms, retrieval systems, enterprise search, or generative AI solutions
• Experience designing or testing AI agents, retrieval-augmented generation, prompt and context systems, or reusable AI workflows
• Experience with AI evaluation, governance, testing frameworks, provenance, human-in-the-loop processes, or quality assurance
• Experience working with listening, research, intelligence, network, stakeholder, or other structured and unstructured external data
• Experience within Communications, Corporate Affairs, Public Affairs, consulting, intelligence, or another information-intensive environment
• Familiarity with semantic modeling, knowledge graphs, ontology implementation, APIs, entity resolution, systems integration, or enterprise content-management concepts

Required skills

• AI Agent Design, AI Evaluation and Governance, APIs and Systems Integration, Applied AI and Generative AI, Enterprise Search and Retrieval Systems, Entity Resolution, Information Architecture, Knowledge Management, Metadata and Taxonomy Design, Retrieval-Augmented Generation, Workflow Automation

Experience

• 5+ years