Applied AI Value Creation Manager
Posted 31 Jul 2026
Advertised as “Senior Manager, Applied AI Value Creation, M&A Practice”
BranchFactor Summary
The original posting with the fluff stripped out
- Expected experience
- 8+ yrs
- Management level
- People management
No salary listed for this role.
Study levelBachelor's
Are you ready to make an impact?
West Monroe is seeking a Senior Manager to join our Applied AI Value Creation team. This role is designed for an experienced consulting leader who combines deep industry or functional expertise with AI-enabled transformation to help Private Equity Portfolio Companies accelerate value creation across strategy, operations, technology, and data.
As a Senior Manager, you will lead complex client engagements that identify, prioritize, and deliver high-impact AI solutions across the enterprise. You will partner closely with executive business and technology leaders to translate strategic objectives into practical AI-enabled operating models, transformation roadmaps, and measurable business outcomes. This role requires equal strength in executive advisory, engagement leadership, and practice development.
In addition to leading client delivery, you will help grow West Monroe's Applied AI Value Creation practice by developing client relationships, leading business development efforts, mentoring consultants, and creating reusable methodologies that accelerate future engagements.
Responsibilities
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Lead complex AI-enabled transformation engagements from strategy through implementation, serving as the primary engagement leader and trusted advisor to executive client stakeholders.
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Build trusted executive relationships that drive successful client outcomes while identifying opportunities to expand existing engagements and develop new business.
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Partner with client executives, business leaders, product teams, and technology organizations to identify strategic opportunities where AI can create measurable business value.
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Lead discovery workshops to define business problems, desired outcomes, operational constraints, adoption risks, and implementation priorities.
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Translate ambiguous business challenges into future-state operating models, AI strategies, value creation roadmaps, prioritized use cases, and executable implementation plans.
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Advise clients on the appropriate application of Generative AI, Agentic AI, machine learning, intelligent automation, advanced analytics, workflow automation, and modern data platforms.
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Design AI-enabled operating models that incorporate governance, human-in-the-loop processes, security, change management, adoption planning, and value realization metrics.
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Lead multidisciplinary teams of consultants, AI specialists, software engineers, data scientists, and client stakeholders to deliver high-quality solutions.