Manager, Intelligence Systems & AI

UnitedHealth Group is hiring a Manager, Intelligence Systems & AI to build, operate, and improve the systems powering Communications' intelligence and external sense-making work. The role combines applied AI, knowledge architecture, information management, data enablement, and workflow design, partnering across Communications, Corporate Affairs, Data, Technology, and AI teams to move capabilities from prototype to reliable daily use.

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

• 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

• Tech career marketplace connecting professionals with recruiters
• Centennial, Colorado, USA
• https://www.or-quest.nl/
• Founded in 1990
• 201-500 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 Workflow Design, Applied AI, Copilot Studio, Data Management, Enterprise Search, Generative AI, Information Architecture, Knowledge Management, Metadata Management, Microsoft Copilot, Retrieval-Augmented Generation, Taxonomy Design

Experience

• 5+ years