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DominoDominoNew York, NY

Engagement Manager, Life Sciences

Own end-to-end customer AI programs at Domino Data Lab for life sciences, from scoping and delivery leadership through adoption and expansion. Requires 3-5 years enterprise customer-facing experience, technical fluency in data science workflows, comfort with ambiguity, and ability to bridge strategy to execution.

180k – 220k/yr
Remote3+ YOETechnical Program Management

About the role

Own the customer program end-to-end

  • From contract signature through expansion.
  • Accountable for outcomes with clear milestones and cadence.
  • Partner with account team to scope engagements for excellence.
  • Direct delivery pod (Forward Deployed Engineers and Integration & Architecture teams).
  • Manage capacity, milestones, stakeholder communication, and account health.
  • Earn trust from C-suite to data scientists.
  • Lead solutioning conversations connecting Domino's AI capabilities to customer outcomes.
  • Drive adoption through rollout, enablement, and change management.
  • Turn engagements into growth by uncovering expansion opportunities.
  • Act as customer's voice internally for product feedback and signals.

Requirements

  • 3–5 years in enterprise customer-facing discipline: implementations, consulting, technical program management, or product.
  • Background in life sciences (reproducibility, auditability, compliance) is a meaningful advantage.
  • Comfortable with ambiguity and turning unstructured executive conversations into executable plans.
  • Knowledge of how enterprise data science teams build, scale, and govern models.
  • Real delivery ownership across full cycles.
  • Technically fluent across software architecture, predictive modeling, and agentic systems.
  • Solutions-oriented; escalate with recommendations.
  • Ability to learn new domains fast and use AI to work faster.

Nice-to-Haves

  • Caliber and complexity of experience matter more than exact title.
  • Growth mindset, truth-seeking, diverse perspectives.

Skills

Technical Program Managemententerprise implementationsConsultingai governancepredictive modelingSoftware ArchitectureChange Managementlife sciences domain
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