This job is no longer available
This job expired on 06/09/2026. It no longer accepts applications.
General Manager, Canada
Hartmann Young
Job description
About the role
The organization is a fast‑growing biologics discovery and development company seeking an experienced operational leader to guide its Canadian site through a critical growth phase. The role combines P&L responsibility, operational scaling, and the integration of AI‑driven tools to enhance service delivery for pharma and biotech clients.
Key responsibilities
- Own full P&L – budgeting, forecasting, pricing, margin control and exception approvals.
- Lead quarterly business reviews and drive corrective actions with executive leadership.
- Define and enforce operating metrics for bookings, backlog, capacity, utilization, project margin and cash collection.
- Manage end‑to‑end project intake, scoping, staffing, scheduling, risk and escalation processes.
- Standardize delivery practices, milestone reporting and program governance.
- Optimize throughput and cycle time while preserving scientific rigor and data quality.
- Oversee rollout, adoption, training and stabilization of software and AI/LLM tools.
- Integrate software‑enabled workflows that connect wet‑lab and AI capabilities.
- Align systems, templates, SOPs and reporting across multiple sites.
- Build and scale a high‑performing team with clear accountability and measurable metrics.
- Maintain safe laboratory operations and audit readiness.
Required profile
- 15+ years of management experience with full P&L responsibility.
- 5+ years in CRO, CDMO or fee‑for‑service biologics R&D services.
- 8+ years leading senior scientific or operational managers.
- Proven record of scaling operations, implementing processes and driving change.
- Experience leading software rollouts and integrating AI/LLM tools.
- Strong client‑facing leadership and escalation management.
- Experience in fee‑for‑service, non‑GMP lab environments; multi‑site, cross‑geography exposure preferred.
Required skills
- AI/LLM integration
- In silico computational biology
- Software rollout and adoption
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