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Senior Manager, Data Science - Remote
Remote / Online - Candidates ideally in
Minnetonka, Hennepin County, Minnesota, 55345, USA
Listed on 2026-10-16
Minnetonka, Hennepin County, Minnesota, 55345, USA
Listing for:
UnitedHealth Group
Remote/Work from Home
position Listed on 2026-10-16
Job specializations:
-
IT/Tech
AI Business & Operations, Data Analyst, Data Science Manager, Business Systems & Technology Analysis
Job Description & How to Apply Below
** 2387856
** Job category:
** Business & Data Analytics
At United Healthcare, we're simplifying the health care experience, creating healthier communities and removing barriers to quality care. The work you do here impacts the lives of millions of people for the better. Come build the health care system of tomorrow, making it more responsive, affordable and optimized. Ready to make a difference? Join us to start
** Caring. Connecting. Growing together*
* The Experience Analytics and Reporting (EAR) team is seeking an analytically driven Senior Manager, Data Science to lead horizontal AI, analytics, and reporting initiatives that span all CCT work streams as part of the enterprise Contact Center Transformation effort. This role is ideal for a hands-on data science leader who thrives in fast-paced, high-stakes environments and is passionate about improving the member and advocate experience through AI.
The key focus of the role is to drive AI model development and optimization, own cross-workstream performance measurement and reporting, and identify and quantify new opportunities to reduce contacts, improve self-service adoption, and increase advocate efficiency across UHC and Optum.
** AI & Analytics Leadership*
* + Lead AI model development, optimization, and performance measurement across multiple CCT work streams
+ Define and maintain measurement frameworks, KPI definitions, and value-realization methodologies for AI-driven initiatives
+ Partner with workstream owners and solution development teams to evaluate model performance, prioritize enhancements, and improve accuracy, coverage, adoption, and business impact
+ Diagnose issues across multiple data pipelines and cloud stacks (Azure and Google Cloud) and drive root-cause analysis when AI tools underperform
** Cross-Functional Collaboration*
* + Facilitate collaboration across business, operations, product, and technology teams to ensure cohesive, consistent analytics across work streams
+ Serve as a central point of contact for AI performance reporting, opportunity identification, and data-driven decision support
+ Influence stakeholders at all levels, fostering solid relationships to scale successful AI capabilities across the enterprise
** Problem Solving & Optimization*
* + Identify emerging risks, model degradation, or pipeline gaps and drive solutions proactively
+ Use data and model-level insights to diagnose root causes and guide prioritization and investment decisions
+ Recommend scalable improvements that advance model performance and operational consistency
** Program Ownership*
* + Drive horizontal CCT AI and analytics activities, including but not limited to:
+ Advocate-facing AI product performance and adoption analytics
+ Cross-workstream opportunity identification and sizing
+ AI model measurement, optimization, and value realization tracking
+ Algorithm maintenance and AI Review Board (AIRB) preparation, submission, and approvals
** Executive Communication & Reporting*
* + Prepare and present executive-level summaries, dashboards, status reports, and business cases for AI initiatives
+ Synthesize complex model and analytics details into clear, actionable information for leadership audiences
+ Ensure stakeholders are continuously informed on model performance, adoption, risks, and realized value
** Change & Performance Management*
* + Partner with operations, training, and change management teams to ensure smooth adoption of AI tools and workflows
+ Track and measure outcomes, ensuring benefits realization and performance alignment across work streams
+ Support continuous improvement through retrospective reviews and lessons learned
The Senior Manager, Data Science partners closely with business leaders, workstream owners, solution developers, operations, and technology groups to translate AI capabilities into measurable operational and member-experience outcomes.
As a Senior Manager, Data Science, you will lead the analytics and optimization efforts behind a growing portfolio of advocate-facing AI products, leveraging model-level fluency to identify root causes, improve existing models, and scale high-value solutions across the enterprise. Your work will directly influence advocate productivity, contact reduction, and consumer experience across UHC and Optum.
The ideal candidate excels in managing ambiguity, communicates with clarity, and builds solid partnerships across functions. A growth mindset, technical depth, and the ability to translate complex…
Position Requirements
10+ Years
work experience
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