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Sr. Director Transformation Lead
Job in
Boston, Suffolk County, Massachusetts, 02298, USA
Listed on 2026-08-30
Listing for:
Scorpion Therapeutics
Full Time
position Listed on 2026-08-30
Job specializations:
-
Business
Change Management, AI Business & Operations
Job Description & How to Apply Below
About the Role
- The AI and Data-Driven Path to Approval (AIDPA) Initiative Lead is accountable for the strategy, execution, and value realization of AI and data transformation in development.
- Leads cross-functional strategy to reimagine drug development through an interoperable, scalable, future-ready data and technology landscape for R&D.
- Integrates AIDPA strategy and execution with other R&D of the Future initiatives, including Global Capability Model (GCM) transformation and Global Regulatory Affairs transformations.
- Reports to the Chief Regulatory Officer; partners with R&D of the Future leaders, data/technology teams, and enterprise stakeholders.
Key Responsibilities
- Own AIDPA strategy (ambition, outcomes, KPI framework) and translate vision into use cases and redesigned ways of working with milestones and measurable impact.
- Drive value realization (business case, ROI discipline, transparent status/performance) and secure stakeholder accountability across the AIDPA portfolio.
- Establish agile decision pathways; coordinate work streams; facilitate prioritization, sequencing, and trade-off management.
- Spearhead connectivity across work streams; enable transparent communication; coordinate input into end-to-end lean process redesign to improve cycle time, quality, compliance, and productivity.
- Champion adoption of new technologies/ways of working; influence AIDPA communications and embed AIDPA into broader transformation narratives.
Required
- 12+ years of leadership experience across R&D functions.
- Ability to make program decisions, hold partners accountable, and build trust/influence across R&D.
- Experience leading complex, multi-workstream portfolios with sequencing, prioritization, and trade-off management.
- Proven enterprise-scale, cross-functional transformation success with measurable value realization.
Preferred
- Deep R&D strategic/domain expertise and data/digital/AI fluency in an R&D context.
- Experience integrating data/technology foundations into business process optimization.
- Prior partnership with data/technology organizations to deliver scalable solutions.
- Knowledge/experience with agile ways of working.
- Advanced degree (PhD, MBA, or equivalent).
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