Head of Engineering - Healthcare & Life Sciences

Fractal AnalyticsNew York, NY
11d$300,000

About The Position

As Head of Data and AI Engineering for Healthcare and Life Sciences, you will own the engineering strategy and delivery of large-scale Data, AI, and GenAI platforms serving that transform patient care, accelerate drug discovery, optimize healthcare operations, and improve overall health outcomes. You will sit at the intersection of architecture, delivery, and executive partnership, ensuring that ambitious business goals are translated into secure, scalable, and production-grade technology.

Requirements

  • Consulting experience is required: management consulting, digital consulting, or equivalent client-services engineering leadership roles.
  • Proven experience building and scaling modern Data & AI platforms in regulated industries—specifically Healthcare and Life Sciences.
  • Deep cloud-native architecture expertise across one or more Hyperscalers (AWS, Microsoft Azure, GCP), including enterprise modernization programs.
  • Executive-level client leadership: demonstrated ability to partner directly with CIO/CTO/CDO stakeholders and translate strategy into delivery.
  • Strong engineering leadership credentials: experience hiring, developing, and running high-performing teams with rigorous delivery standards.
  • Approximately 15–20 years of experience—seasoned enough to influence senior executives while remaining close to technical decision-making.

Nice To Haves

  • Former or current Principal / Solutions Architects or Enterprise Architects at Hyperscalers (AWS, Azure, GCP) who have led HLS programs end-to-end.
  • Demonstrated platform pattern depth: Lakehouse architectures, event-driven systems, real-time data pipelines, governance frameworks, MLOps, LLMOps, AgentOps
  • A clear product-owner mindset: ability to balance vision with pragmatism, define roadmaps, and measure impact.
  • Commitment to building diverse, inclusive teams across backgrounds and geographies; avoids over-indexing on any single network or profile.

Responsibilities

  • Shape and deliver enterprise Data & AI platforms in highly regulated environments (Healthcare and Life Sciences), spanning modern Lakehouse architectures, real-time and event-driven pipelines, and GenAI-enabled systems.
  • Partner directly with client executives (CIO, CTO, CDO, Chief Digital/Data Officers) to define technical roadmaps, guide modernization strategy, and connect technology investments to clear business outcomes.
  • Lead hands-on engineering execution: set standards, review and influence architecture, remove delivery bottlenecks, and raise the bar on quality, reliability, and velocity across multiple programs.
  • Build, hire, and coach high-performing teams, creating strong engineering culture, discipline, and leadership depth across geographies.
  • Own platform integrity in regulated environments, ensuring security, compliance, governance, and resilience are built in by design—not bolted on later.
  • Industrialize AI and GenAI: help clients move from experimentation to enterprise-scale impact through robust MLOps, LLMOps, AgentOps, governance, and lifecycle management.

Benefits

  • As a full-time employee of the company or as an hourly employee working more than 30 hours per week, you will be eligible to participate in the health, dental, vision, life insurance, and disability plans in accordance with the plan documents, which may be amended from time to time. You will be eligible for benefits on the first day of employment with the Company.
  • In addition, you are eligible to participate in the Company 401(k) Plan after 30 days of employment, in accordance with the applicable plan terms.
  • The Company provides for 11 paid holidays and 12 weeks of Parental Leave.
  • We also follow a “free time” PTO policy, allowing you the flexibility to take the time needed for either sick time or vacation.
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