Advanced Analytics - Health - Senior Manager - Consulting
Listed on 2026-05-16
-
IT/Tech
AI Engineer, Data Analyst, Data Science Manager
Location:
Anywhere in Country
At EY, we’re all in to shape your future with confidence. We’ll help you succeed in a globally connected powerhouse of diverse teams and take your career wherever you want it to go. Join EY and help build a better working world.
AI & Data, Advanced Analytics - Health Sector – Senior Manager - ConsultingWe are helping our clients transform care delivery and obtain their most critical business objectives in health care by harnessing the power of data, analytics and agentic technologies. Our service offerings help redesign their data and AI strategies, develop and deploy responsible AI, and stay ahead of mega‑trends in care delivery. The focus is on financial stability, digital transformation, interoperability, optimal care outcomes, and personalized user experiences at scale.
TheOpportunity
EY is making substantial investments in its award‑winning AI & Data practice. As a strategic partner, you will assist clients in turning data, advanced analytics, and agentic AI into repeatable solutions that drive measurable decision intelligence. Your knowledge of key value‑drivers within the Health sector will help payer and provider clients transition to cloud‑native data platforms, establish ethical governance guardrails, forecast workforce skill demand, and embed predictive, prescriptive, and adaptive agentic‑AI technologies into workflows and systems.
Key Responsibilities- Lead large‑scale client engagements end‑to‑end, managing scope, risk, timelines, and budgets; proactively communicate with stakeholders and manage expectations.
- Help clients organize their data (semantic modelling) to drive better decisions, using AI and automation with human oversight.
- Design, develop, and scale data and advanced analytic products from pilots to enterprise deployment, leveraging leading technologies and cloud providers.
- Develop executive‑level communications—including proposals, sales materials, and presentations—to articulate insights, recommendations, and value.
- Build and sustain long‑term client relationships, identify new business development opportunities aligned to client success.
- Host interactive sessions and workshops with business, technology, industry, and executive teams on topics for developing data and analytic products.
- Maintain strong client relationships founded on trust and commercial acumen, actively identifying opportunities to add value.
- Mentor and develop team members, fostering an inclusive, high‑performance culture aligned with EY’s values.
- Drive business growth by shaping go‑to‑market strategies, crafting proposals, and expanding client relationships; serve as a thought leader in AI‑enabled decisions.
- Lead strategic data and analytic partnership alliances to develop cutting‑edge solutions that solve client business problems.
- Deep knowledge of healthcare challenges for payers, providers and integrated systems, and ability to translate business needs into technical solutions.
- Demonstrated ability to align analytic and agentic initiatives with business value, shape ROI‑driven solutions, and manage engagement economics.
- Expertise in advanced analytics and decision science (optimization, simulation, causal inference, human‑in‑the‑loop AI) and structured/unstructured data (EHR, claims, ERP, financial, RWE, supply chain).
- High proficiency with modern digital ecosystems—cloud platforms, AI/ML, generative and agentic AI—and translating emerging technology trends into actionable strategies.
- Exceptional structured, hypothesis‑driven problem‑solving skills with a creative and adaptive mindset.
- Experience leading the creation of sales materials, proposals, and presentations for data‑driven solutions.
- Clear executive‑level communication of findings, recommendations, and opportunities.
- Strong team leadership, motivation, coaching, and the ability to influence across diverse teams.
- Trusted relationship building with client personnel at appropriate levels, consistently delivering quality client services.
- Staying at the forefront of emerging technologies (generative AI, agentic AI) and guiding clients in responsible adoption.
- Understanding of clients’ data, AI, and…
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