More jobs:
Senior Manager, Data Science - Remote
Remote / Online - Candidates ideally in
Minnetonka, Hennepin County, Minnesota, 55345, USA
Listed on 2026-10-15
Minnetonka, Hennepin County, Minnesota, 55345, USA
Listing for:
UnitedHealth Group
Remote/Work from Home
position Listed on 2026-10-15
Job specializations:
-
IT/Tech
Data Analyst, AI Business & Operations, Data Science Manager, Business Systems & Technology Analysis
Job Description & How to Apply Below
Location:
Minnetonka, Minnesota, United States Salary: $112,700 - $193,200/year
Job Area:
Business & Data Analytics Company:
United Health Group 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 sizingAI 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 analytics…
Position Requirements
10+ Years
work experience
To View & Apply for jobs on this site that accept applications from your location or country, tap the button below to make a Search.
(If this job is in fact in your jurisdiction, then you may be using a Proxy or VPN to access this site, and to progress further, you should change your connectivity to another mobile device or PC).
(If this job is in fact in your jurisdiction, then you may be using a Proxy or VPN to access this site, and to progress further, you should change your connectivity to another mobile device or PC).
Search for further Jobs Here:
×