Data Automation Manager - Remote

UnitedHealth Group Inc.•Grand Junction, CO

76d•Remote

About The Position

At UnitedHealthcare, 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 equitable. Ready to make a difference? Join us to start Caring. Connecting. Growing together. The Data Automation Manager plays a mission-critical role in enabling scalable, compliant, and data-driven care for members in Colorado. This role is essential for building and maintaining the data infrastructure that powers RMHP's clinical workflows, population health analytics, and outreach strategies. You will lead the development of backend data ecosystems, automate reporting pipelines, and ensure data integrity across high-volume clinical datasets. Success in this role requires a blend of technical expertise, complex problem-solving, and health plan knowledge. You'll enjoy the flexibility to work remotely from anywhere within the U.S. as you take on some tough challenges. For all hires in the Minneapolis or Washington, D.C. area, you will be required to work in the office a minimum of four days per week.

Requirements

5+ years of experience in data analytics, automation, or business intelligence roles
Advanced proficiency in SQL, with hands-on experience in Tableau, Snowflake, and SSIS/SSRS
Proven ability to design and implement scalable data solutions in healthcare environments
Solid understanding of ETL processes and data pipeline architecture
Demonstrated ability to approach problems from multiple angles-technical, operational, and strategic - to develop holistic solutions
Demonstrated ability to train and mentor team members on automation tools and best practices
Proven solid analytical and multi-dimensional problem-solving skills, especially in high-volume, compliance-driven environments
Proven excellent communication skills with both technical and non-technical audiences

Nice To Haves

Experience with Colorado Medicaid or care coordination programs
Experience with Python for data automation or analytics
Background in population health analytics or clinical data workflows
Familiarity with omni-channel outreach strategies and analytics
All employees working remotely will be required to adhere to UnitedHealth Group's Telecommuter Policy

Responsibilities

Data Automation & Workflow Engineering
Architect and code automated analytics and clinical workflows tailored to Colorado Medicaid requirements and care team operations
Build and maintain SQL and Snowflake-based infrastructure supporting care coordination and outreach
Design and implement automation using SSRS, SSIS, SQL, Snowflake, and Tableau to reduce manual workload and improve scalability
Population Health Data Management
Maintain and optimize population health business objects with over 100M records
Ensure data integrity, performance, and compliance across large-scale datasets
Collaborate with clinical and outreach teams to align data models with care coordination goals
Reporting & Visualization
Develop interactive dashboards and reports using Tableau, SSRS, and other BI tools
Translate complex data into actionable insights for clinical, operational, and executive stakeholders
Define business and reporting requirements that support strategic and compliance objectives
Data Architecture & Integration
Design and maintain dimensional data models and data dictionaries
Collaborate with engineering teams to ensure efficient ETL pipelines using SQL, Snowflake, and related platforms
Apply best practices in indexing, normalization, and schema optimization
Project Leadership & Strategic Impact
Lead end-to-end data automation projects aligned with RMHP's care coordination strategy
Apply multi-dimensional thinking to solve complex data challenges across clinical, operational, and outreach domains
Serve as product owner for internal analytics tools, prioritizing enhancements based on user feedback and business impact
Document technical specifications, workflows, and system interfaces to support long-term sustainability