Director Data Analytics - Remote

UnitedHealth Group•Richardson, TX

3d•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 optimized. Ready to make a difference? Join us to start Caring. Connecting. Growing together. Positions in this function are responsible for the management and manipulation of mostly structured data, with a focus on building business intelligence tools, conducting analysis to distinguish patterns and recognize trends, performing normalization operations and assuring data quality. Depending on the specific role and business line, example responsibilities in this function could include creating specifications to bring data into a common structure, creating product specifications and models, developing data solutions to support analyses, performing analysis, interpreting results, developing actionable insights and presenting recommendations for use across the company. Roles in this function could partner with stakeholders to understand data requirements and develop tools and models such as segmentation, dashboards, data visualizations, decision aids and business case analysis to support the organization. Other roles involved could include producing and managing the delivery of activity and value analytics to external stakeholders and clients. Team members will typically use business intelligence, data visualization, query, analytic and statistical software to build solutions, perform analysis and interpret data. Positions in this function work on predominately descriptive and regression-based analytics and tend to leverage subject matter expert views in the design of their analytics and algorithms. This function is not intended for employees performing the following work: production of standard or self-service operational reporting, casual inference led (healthcare analytics) or data pattern recognition (data science) analysis; and/or image or unstructured data analysis using sophisticated theoretical frameworks. Provides leadership to and is accountable for the performance and direction through multiple layers of management and senior level professional staff Work most often impacts a large business unit, or multiple markets/sites

Requirements

10+ years of progressive experience in analytics, data science, or business intelligence, with at least 7 years in people leadership roles managing high performing analytics teams aligned to product or platform organizations
Proven experience partnering with product, engineering, and business leaders to define analytics strategies that inform product roadmap decisions, measure customer and business impact, and drive adoption and growth
Experience building, mentoring, and retaining diverse analytics talent, fostering a culture of accountability, curiosity, and continuous improvement
Solid product mindset, with demonstrated ability to translate ambiguous business and product questions into clear analytical frameworks, metrics, and insights that influence executive decision making
Expertise in product and customer analytics, including but not limited to: Product performance measurement and KPI design, Funnel, cohort, and behavioral analysis, Customer segmentation and lifecycle analytics
Demonstrated ability to operationalize insights, moving beyond reporting to drive measurable product outcomes through recommendations, experimentation, and ongoing performance monitoring
Solid executive communication and storytelling skills, with a track record of presenting complex insights in a clear, compelling manner tailored to senior product, technology, and business stakeholders

Nice To Haves

Experience leading analytics for digital products, consumer platforms, or enterprise products, including analytics support for roadmap prioritization, feature launches, and post launch optimization
Experience operating in large, matrixed organizations, balancing centralized analytics standards with embedded, product aligned delivery models
Advanced proficiency in analytics and data technologies, such as SQL, Python or R, modern BI tools, and cloud based data platforms, with a strong understanding of scalable data architecture and analytics enablement
Background in advanced analytics or data science, such as predictive modeling, machine learning, or AI enabled analytics, and experience partnering with data science teams to embed these capabilities into products
Familiarity with data governance, privacy, and ethical analytics practices, ensuring responsible use of data in product decision making

Responsibilities

Own end to end enterprise performance measurement across the member engagement lifecycle, from interaction through realized value
Define and govern enterprise engagement stages, core metrics, and performance standards, ensuring one consistent view across platforms
Establish a unified analytics and value framework that clearly connects activity to outcomes and enterprise impact
Deliver cross domain visibility into member journeys across Advocacy, Behavioral Health, Clinical, Rewards, Digital, and Hub
Ensure alignment between operations, source systems, and reporting, partnering with Product, Clinical, Behavioral Health, and Data Engineering leaders
Lead analytics delivery from strategy through execution, including demand intake, prioritization, and roadmap ownership
Oversee development of enterprise analytics products (dashboards, reporting, self service), ensuring accuracy, relevance, and non redundancy
Maintain continuous, strategic alignment and communication with Product leadership to ensure analytics priorities, roadmaps, and performance measurement evolve in lockstep with product strategy, capabilities, and delivery timelines
Establish enterprise analytics governance to reduce duplication, improve reuse, and enforce measurement discipline
Drive scalable operating models for analytics delivery as Rewards and Growth Office demand continues to grow
Provide executive level reporting and insight to support investment decisions, prioritization, and performance accountability
Anticipate future analytics needs and shape forward looking capabilities aligned to business strategy and growth initiatives