Job Details

Location

Anywhere in Country

Overview

EY's AI & Data practice is investing in client engagements to leverage AI at scale across the life sciences sector. As a Senior Manager in AI Strategy, you will design and deliver AI strategies that enhance patient care, streamline clinical operations, and support drug development.

Key Responsibilities

• Lead engagement delivery, ensuring quality, risk management, and project lifecycle governance.
• Collaborate with life sciences stakeholders to identify AI opportunities that improve patient outcomes and operational efficiencies.
• Act as a strategic advisor to senior Life Science sector leaders (CIO, CDO, CMIO, Chief Analytics Officer, VP of Population Health, etc.).
• Manage client relationships, focusing on revenue generation and identification of new opportunities.
• Develop AI strategies that comply with life sciences regulations and enhance data‑driven decision‑making in clinical settings.
• Develop and manage resource plans and budgets for engagements, ensuring alignment with performance objectives.

Skills and Attributes for Success

• Strong analytical and decision‑making skills to develop solutions to complex problems.
• Experience in leveraging AI for predictive analytics in clinical trials and patient management.
• Proven experience in managing client relationships and leading teams.
• Ability to communicate effectively and influence stakeholders at all levels.
• Knowledge of life sciences trends and challenges, particularly in the context of AI applications.

Qualifications

• Bachelor's degree required; Master's degree preferred.
• Typically, 5–7 years of relevant experience delivering client engagements across sizes and geographies with health sector clients (payer, provider, public health, or health tech).
• Strong understanding of healthcare data standards (FHIR, HL7, ICD, CPT), data privacy, and regulatory frameworks (HIPAA, HITRUST).
• Strong expertise in AI platforms and tools.
• Proficiency in data architecture design and modelling.
• Experience applying AI solutions in the life sciences sector, particularly in drug discovery and patient care.
• Experience in digital transformation and IT effectiveness assessment.
• Knowledge of emerging technologies and technology strategy, vision, and roadmap.
• Ability to build and manage relationships effectively.

Desired Qualifications

• Experience in managing change and leading teams.
• Strong negotiation and influencing skills.
• Familiarity with sector knowledge and commercial acumen.
• Experience with life sciences data standards and regulatory compliance.

Benefits

• Comprehensive compensation and benefits package; base salary range $144,000–$329,100 nationwide, with higher ranges in major metros.
• Medical and dental coverage, pension and 401(k) plans, and a wide range of paid time off.
• Hybrid work model allowing flexibility between remote and in‑office collaboration.

Equal Employment Opportunity

EY provides equal employment opportunities to applicants and employees without regard to race, color, religion, age, sex, sexual orientation, gender identity/expression, pregnancy, genetic information, national origin, protected veteran status, disability status, or any other legally protected basis, including arrest and conviction records, in accordance with applicable law.

EY is committed to providing reasonable accommodation to qualified individuals with disabilities including veterans with disabilities. If you have a disability and need assistance applying online or need to request an accommodation during any part of the application process, please call 1‑800‑EY‑HELP3, select Option 2 for candidate‑related inquiries, then select Option 1 for candidate queries and finally select Option 2 for candidates with an inquiry which will route you to EY's Talent Shared Services Team (TSS) or email the TSS at ssc.customersupport@ey.com.