[Hiring] Director AI Data Coordination - Partner Experience @UnitedHealth Group

Role Description

The experience of managing data in healthcare is complex and fragmented, creating significant challenges for delivering consistent and personalized AI experiences. Today, healthcare faces a landscape of disconnected data sources - spreadsheets, inboxes, contracts, and legacy systems - each performing distinct functions without integration. This fragmentation undermines AI effectiveness, increases risk, and limits our ability to deliver contextual, compliant, and persona-driven interactions.

At UHG, enterprise data coordination is essential for powering AI-driven experiences that serve the enterprise personas - members, advocates, and brokers - diverse business needs. By unifying and standardizing data across UHC and Optum, UHG-level coordination enables seamless, scalable, and compliant AI solutions that deliver contextualized support and insights. This means members can more easily access care, coordinate benefits, and receive personalized guidance, while advocates and brokers are equipped with timely, accurate information to resolve issues and deliver high-quality service.

As Director, AI Data Coordination – Partner Experience, you will play a critical role in supporting the Senior Director, Digital Product – AI Data Coordination & Enablement to transform the data ecosystem across UHC and Optum. Your focus is on identifying, unifying, and digitizing disparate datasets from both organizations into an interoperable architecture that powers personalized, accurate, and compliant AI experiences for UHG-level skills.

A key aspect of this role is enabling real-time support for thousands of front-line workers who serve our 50 million member base. By coordinating and integrating data across platforms and tools from both UHC and Optum, you will empower teams with timely, accurate information - helping them resolve member issues, answer questions, and deliver exceptional service at scale.

You will partner across Product, Engineering, Data Science, Technology, and Compliance teams at both UHC and Optum to operationalize data strategies, drive technical excellence, and deliver a seamless, trusted, and intelligent data foundation for UHG-level AI.

Primary Responsibilities

• UHC & Optum Data Coordination & Enablement: Catalogue, maintain, and automate ground-truth data sources that power UHG-level AI skills; establish clear ownership, refresh cadences, lineage, and access controls for data spanning both organizations.
• Interoperability & Standards: Standardize data definitions, metrics, schemas, and APIs across UHC and Optum teams to ensure consistency and seamless experiences for all users.
• Operational Execution: Implement the unified data roadmap set by the Senior Director; sequence work, remove blockers, and manage intake/backlog for data requests tied to UHG-level AI skills.
• Quality & Compliance: Monitor data quality, integrity, and compliance; embed responsible AI practices and governance checkpoints in development and UAT; partner with Risk/Compliance on controls.
• Cross-Functional Liaison: Facilitate alignment among product owners, data owners, engineering leads, and AI Delivery across UHC and Optum; lead recurring forums to surface dependencies and resolve data issues quickly.
• Real-Time Enablement: Integrate data across SaaS tools, CRMs, sales platforms, and workforce management systems to provide teams with real-time, actionable insights that support member, advocate, broker, and companion needs.
• Observability & Measurement: Define instrumentation requirements for data pipelines and AI skills; report on SLAs, freshness, accuracy, coverage, and usage of data; drive root-cause analysis for incidents impacting users.
• Content Mapping: Coordinate persona-driven data strategies focused on members, advocates, brokers, and companions, ensuring terminology, tone, and compliance guidelines are applied consistently across relevant skills.
• Documentation & Playbooks: Maintain source-of-truth documentation (catalogs, dictionaries, flow diagrams) for data and contribute to data enablement playbooks and onboarding guides.
• Continuous Improvement: Use analytics, feedback, and incident post-mortems to identify data gaps and prioritize remediation; propose optimizations that improve reliability and reduce cost for UHG-level solutions.
• Vendor & Platform Coordination: Partner with platform teams and vendors to align integrations, SLAs, and change management impacting data used by AI skills.

Measures of Success

• Delivery of a unified, scalable data ecosystem powering UHG-level AI experiences.
• Consistent availability, freshness, and accuracy of data powering UHG-level AI skills.
• Reduction in data-related incidents and cycle time to onboard new or updated skills.
• Adoption of standardized data metrics, schemas, and APIs across UHC and Optum teams.
• Compliance with governance and risk controls; positive audit outcomes for data.
• Improved experience KPIs (e.g., NPS, resolution rates) attributable to better data enablement.
• Achievement of interoperability and personalization goals across journeys.
• Enhanced real-time support capabilities for front-line workers serving our 50 million members.

Qualifications

• 5+ years in data management, analytics, product operations, or engineering roles supporting digital or AI-driven products.
• Hands-on experience with data cataloging, ETL/ELT, API-driven integrations, and metadata management.
• Experience working with SaaS tools, CRMs, Sales platforms, or workforce management tools.
• Familiarity with AI governance, privacy, and compliance frameworks in regulated environments.
• Proven ability to coordinate work across matrixed teams and manage backlog/intake processes.
• Proven solid communication skills, with the ability to translate complex data concepts into actionable requirements.

Preferred Qualifications

• 6+ years of demonstrated P&L experience with an understanding of key business drivers.
• Experience in healthcare or other regulated industries.
• Experience supporting NLP/LLM-based solutions and extracting data from unstructured sources.
• Exposure to cloud data platforms (AWS/Azure/GCP), data lake/warehouse architectures, and semantic modeling.
• Background in agile delivery, product operations, or program management.
• Proficiency with SQL and one scripting language (e.g., Python) and familiarity with data visualization tools.

Benefits

• Comprehensive benefits package.
• Incentive and recognition programs.
• Equity stock purchase and 401k contribution (all benefits are subject to eligibility requirements).

Application Deadline

This will be posted for a minimum of 2 business days or until a sufficient candidate pool has been collected. Job posting may come down early due to volume of applicants.