Sr. Director Transformation Lead

Scorpion Therapeutics; Boston (MA); On-site; USD 230,000 - 340,000; Full time

Job summary

Scorpion Therapeutics is seeking an AI and Data-Driven Path to Approval (AIDPA) Initiative Lead to own the strategy, execution, and value realization of AI and data transformation in development. You will lead cross-functional efforts to reimagine drug development with an interoperable, scalable data and technology landscape for R&D.

Reporting to the Chief Regulatory Officer, you will translate vision into use cases, drive ROI, establish agile decision pathways, and champion adoption of new

Qualifications

• 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.
• 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).

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) across the AIDPA portfolio.
• Establish agile decision pathways; coordinate workstreams; facilitate prioritization, sequencing, and trade-off management.
• Spearhead connectivity across workstreams; 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.

Skills

Leadership

Strategy development

Cross-functional collaboration

Change management

Stakeholder influence

Education

PhD, MBA, or equivalent preferred

Tools

Agile

Job description

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.

How you will contribute / 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 workstreams; facilitate prioritization, sequencing, and trade-off management.
• Spearhead connectivity across workstreams; 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.

Minimum Requirements / Qualifications

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).