Advanced Analytics - Health Sector - Senior Manager - Consulting

EY
Dallas, US
On-site

Job Description

Location: Anywhere in Country

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AI & Data, Advanced Analytics - Health Sector – Senior Manager - Consulting

We are helping our clients transform care delivery and obtain their most critical business objectives in health care by harnessing of the power of data, analytics and agentic technologies. Our service offerings help our clients redesign their data and AI strategies, develop and deploy cutting edge responsible AI to stay in front of the mega trends in care delivery, with a focus on financial stability, digital transformation, interoperability, optimal care outcomes, and personalized user experiences at scale.

The opportunity

EY is making substantial investments in its award-winning AI & Data practice. As a strategic partner, you will assist our clients turn data, advanced analytics and agentic AI enablement into practical, repeatable solutions that drive measurable decision intelligence. Your knowledge of key value-drivers within the Health sector will help our payer and provider clients transition to cloud-native data platforms via integrated intelligence frameworks, establish ethical and governance guardrails and cataloguing for automated decisions, inform workforce skill demand required for human-to-agent interaction, and embed predictive, prescriptive, and adaptive agentic-AI technologies into workflows and systems.

In this capacity, you will help EY develop and deploy action-centric AI-enabled agentic solutions, support sector-specific solution design, go-to-market strategy, playbook design and craft thought-leadership. This is a high growth, high visibility role offering ample opportunities to build your skillset, build your career and develop the next generation of health data & AI leaders.

Your key responsibilities

As an AI & Data Senior Manager, you will lead a team of junior members, collaborating with a diverse client base to articulate, formulate, and implement their decision intelligence blueprints. Specific responsibilities include:

  • Leading large-scale client engagements end-to-end, managing scope, risk, timelines, and budgets; proactively communicate with stakeholders and manage expectations to ensure consistent, high-quality delivery.
  • Helping clients organize their data (semantic modelling) so it drives better decisions, using AI and automation—with human oversight—to turn data into actionable insights.
  • Leading the design, development, and scaling of data and advanced analytic products and solutions (from pilots to enterprise deployment) leveraging leading and client-selected technology and cloud providers to accelerate delivery of cutting-edge solutions that support interoperability and value realization.
  • Overseeing the development of compelling executive-level communications—including proposals, sales materials, and presentations—clearly articulating insights, recommendations, and value of data- and AI-enabled solutions to clients.
  • Build and sustain long-term client relationships by deeply understanding clients’ business priorities, data, AI, and technology landscapes; identify and cultivate new business development opportunities aligned to client success.
  • Hosting interactive sessions and workshops with business, technology, industry, and executive teams on topics for developing data and analytic products in response to mega-trends
  • Providing consistent, high-quality client delivery. Maintain strong client relationships founded on trust and commercial acumen, actively identifying opportunities to drive additional value.
  • Mentoring and developing team members, fostering an inclusive, high-performance culture aligned with our values and standards.
  • Driving business growth by shaping go-to-market strategies, crafting proposals, and expanding client relationships. Serve as a thought leader, developing differentiated offerings and insights that position the firm as an innovator in AI-enabled decisions and agentic workflows
  • Organizing and leading EY business development for prioritized solutions, and serving as a thought leader by bringing market leading insights to find, strategize around, and capture new markets for driving business growth
  • Lead strategic data and analytic alliance partnerships for developing cutting-edge solutions so solve our client’s business problems

Skills and attributes for success

  • Deep knowledge in healthcare to include understanding of critical challenges for payers, providers and integrated systems as well as ability to translate business needs into appropriate technical solutions for healthcare clients.
  • Demonstrated ability to align analytic and agentic initiatives with business value, shape economically sound solutions (ROI, cost-benefit), and manage engagement economics to drive profitable

Skills & Requirements

Technical Skills

Data and ai strategiesCloud-native data platformsEthical and governance guardrailsWorkforce skill demandPredictivePrescriptiveAdaptive agentic-ai technologiesCommunicationCollaborationLeadershipMentoringHealthcare

Employment Type

FULL TIME

Level

senior

Posted

5/8/2026

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