Director, Brand Analytics and Agentic Enablement - Remote

UnitedHealth Group•Minnetonka, MN

12d•$134,600 - $230,800•Remote

About The Position

The Director, Brand Analytics, & Agentic Enablement within E&I Marketing Ops is a strategic leadership role responsible for advancing the organization’s ability to understand, interpret, and act on the core drivers of brand perception and marketing effectiveness extending across the E&I Marketing portfolio. This role sits at the intersection of marketing strategy, marketing investment optimization, and advanced analytics. 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. This role will serve as an operational authority on MMM driven decision making; ensuring that model outputs are fully integrated into planning processes, budget allocation, and performance optimization across marketing channels. In addition, this role will look for opportunities to design and implement AI-enabled and/or Agentic-Analytics-driven workflows & solutions. This leader will manage a team of MMM specialists including business analysts / data scientists, and analytics / visualization engineers, and will partner closely with marketing, finance, product, senior leadership to ensure that marketing investments are sound and fully optimized based on measurable, incremental impact. The role is accountable for driving improved Marketing ROI, increasing the transparency of value capture, and strengthening brand performance in a complex, highly regulated healthcare environment.

Requirements

8+ years of experience in Marketing analytics, Marketing operations, or related advanced analytics domains; with at least 5 years in a team leadership role
Tangible expertise in Marketing Mix Modeling (MMM), attribution, and incrementality, including interpreting dynamic model outputs and translating trends and insights into business decisions
Proven ability to partner with external analytics vendors, challenging assumptions, and enhancing model outputs with internal context and data
Strong understanding of brand health measurements and perception analytics, including how brand level dynamics can influence downstream funnel performance
Experience analyzing market drivers in healthcare or similarly complex, regulated industries, including regulatory dynamics, competitive actions, pricing, affordability, consumer perception, and consumer behavior
Demonstrated ability to accelerate time to insight and decision making, including building scalable analytics workflows and automation
Demonstrated success embedding analytics into marketing and financial decision-making processes
Demonstrated success influencing senior stakeholder decision-making
Strong communication skills, with the ability to translate complex analytics into clear, actionable executive narratives

Nice To Haves

Advanced degree (or experiential equivalent) in Statistics, Finance, Economics / Econometrics, Computational Neuroscience, or related “quantitative” domain
Experience integrating MMM outputs directly into media planning, budget allocation, and optimization cycles
Experience identifying and/or quantifying brand halo effects and cross channel interactions
Familiarity with healthcare specific data sets including claims, NPS (or related experience measurement frameworks), risk adjustment, health economics, etc.
Experience designing or implementing AI driven and/or agentic analytics solutions, including workflow orchestration, insight automation, or decision support solutions
Experience building agent-based or reusable analytics components, including model libraries, insight automation frameworks, etc.
Experience operating within modern data platforms, frameworks, and toolkits (e.g. CoPilot, Claude Code, LangChain / LangGraph, Python, Databricks, Snowflake, SQL, or equivalent)
Exposure to governance frameworks supporting cost versus value tracking, model validation, and auditability

Responsibilities

Identifying and operationalizing market drivers of brand perception within the healthcare payer landscape, including competitive positioning, affordability dynamics, regulatory influences, and member experience signals
Supporting internal Marketing Mix Modeling (MMM) strategy, interpretation, and activation, in partnership with internal business leadership & external analytics vendors
Translating MMM outputs into actionable business recommendations that influence media investment, brand strategy, and growth decisions
Challenging, validating, and enhancing vendor delivered models by incorporating internal data, market context, and business expertise
Quantifying the impact of brand health, perception shifts, and halo effects on downstream lead generation, acquisition, engagement, and conversion outcomes
Accelerating time to insight and time to decision-making through scalable analytics frameworks, automation, and agentic solutions
Designing and implementing AI-enabled and/or Agentic-Analytics-driven workflows & solutions that could enable faster access to and interpretation of MMM outputs, identification of emerging market signals and brand drivers, scalable / automated insight generation and reuse across marketing use cases, continuous optimization loops that connect brand performance to media investment decisions, and agentic operational optimization, including both performative (time) and effort (cost) optimization.