Life Sciences Commercial Transformation Leader, AI/Data

Accenture; Milwaukee (WI); On-site; USD 87,000 - 253,000; Full time

Job summary

Accenture is seeking a Manager in its Life Sciences Industry & Enterprise practice to lead commercial transformation initiatives across field, marketing, market access, patient services, medical, and operations. The role focuses on translating ambitions into future-state operating models, governance, and AI/data-enabled roadmaps.

You will guide cross-functional teams, shape value cases, and drive measurable outcomes through data-driven approaches, with a strong emphasis on AI-enabled workflows

Qualifications

• 6+ years in life sciences commercial transformation or related consulting.
• Experience leading workstreams and managing teams.
• Bachelor's Degree required.
• Strong problem-solving and communication skills.

Responsibilities

• Lead client workstreams translating ambitions into operating models and roadmaps.
• Identify AI/data-enabled opportunities to improve speed, quality, and productivity.
• Frame AI/data approaches for priority use cases with data inputs and governance.
• Assess current-state processes, data flows, and dependencies to reduce value leakage.
• Develop future-state workflows, capability models, and business cases for transformation.
• Facilitate cross-functional design sessions and manage client relationships.

Skills

AI/data strategy

Client leadership

Strategic storytelling

PowerPoint

Excel

Facilitation

Executive communication

Education

Bachelor's Degree

Job description

Accenture is seeking a Manager in its Life Sciences Industry & Enterprise practice to lead commercial transformation initiatives across field, marketing, market access, patient services, medical, and operations. The role focuses on translating ambitions into future-state operating models, governance, and AI/data-enabled roadmaps.

You will guide cross-functional teams, shape value cases, and drive measurable outcomes through data-driven approaches, with a strong emphasis on AI-enabled workflows