Drimva

Celonis

Client Director - Strategic Life Sciences Account

$211K–$250K

New York, US, New York · Director · Full-time · Posted Sep 30, 2026

Experience
12+ years in enterprise SaaS sales or strategic account management; at least 5 years managing accounts with $5M+ ARR. Expansion arcs may span 12–24+ months.
Visa sponsorship
Visa sponsorship is not offered for this role.

About the job

Owns and expands Celonis’s commercial relationship with a strategic life sciences account, positioning its platform as a foundation for enterprise operations and AI transformation.

What you'll do

  • Build C-suite relationships and lead commercial strategy, negotiations, renewals, and multi-year expansion agreements.
  • Develop account expansion plans, grow ARR, and translate adoption and realized value into renewal and expansion opportunities.
  • Manage commercial risk, maintain account plans and forecasts, and codify reusable strategies for the Strategic Accounts practice.

What they ask for

  • 12+ years in enterprise SaaS sales or strategic account management, including at least 5 years managing accounts with $5M+ ARR.
  • Deep Life Sciences industry expertise and a demonstrated record of growing ARR within named accounts over multiple years.
  • C-suite executive presence; experience navigating enterprise transformations and constructing ROI, TCO, and value benchmarks.
  • Ability to manage long deal cycles and collaborate in team-selling environments with value engineering, professional services, partners, and GTM teams.

Nice to have

  • Direct Life Sciences account experience leading transformation initiatives or working as a strategic consultant or Client Director.
  • Background in ERP, Supply Chain, Finance transformation, or AI-native enterprise platforms; familiarity with agentic AI, automation, or intelligent process orchestration.

Pay

$211,250 — $250,000 USD (base salary)

Tools

Celonis Platform, Process Intelligence, LLM, ERP, cloud

AI focus

Position Celonis within customers’ AI strategies, connecting Process Intelligence to LLM, automation, and agentic AI investments as a data and orchestration layer.

Model-written summary · the original posting is authoritative

First seen Oct 27, 2026 · Last verified Nov 5, 2026 (UTC)