AI & Data Strategy Leader

Role: AI & Data Strategy Leader

Target Levels: Lead or Principal

Our AI & Data Strategy Leaders help clients turn AI and data capabilities into measurable business outcomes. You’ll work with senior executives to shape AI/data strategy and then lead cross-functional teams to deliver on that strategy.

Core Responsibilities

• Lead AI & data strategy engagements end-to-end: define problems, assess readiness, prioritize use cases, and design roadmaps and operating models tied to revenue, customer experience, and innovation.


• Own engagement delivery and stakeholder alignment: manage scope and risks, maintain executive (including C‑suite) relationships, and facilitate discovery / prioritization / "art of the possible" workshops.


• Bridge business and technology by balancing technical, organizational, and process recommendations and building clear narratives and business cases for AI/data investments.


• Shape the future-state AI & data operating model and stack (roles, processes, governance, and key platform/tooling choices) with safety, scalability, TCO, and regulatory needs in mind.


• Provide delivery oversight for AI/data platforms and capabilities, partnering with Delivery Leads and technical teams to ensure execution matches the agreed strategy.


• Own the quality of engagement outputs and provide hands-on coaching to project team members on consulting fundamentals and business impact.


• At the Principal level, you also:
  
  
  
  • Co‑own account strategy with Client Account Leads and Technical Account Leads, shaping multi‑year AI/data roadmaps and connecting engagement outcomes to account growth.
  
  
  • Serve as a trusted executive advisor and play a senior role in critical pursuits and visible thought leadership, while mentoring other Engagement Leads and reinforcing ways of working.
  
  
  
  

Qualifications

• 6+ years as a hands-on AI or data strategy leader, owning strategy engagements and roadmaps.


• 2+ years of consulting leadership with external clients, managing multiple workstreams and teams.


• Proven ability to engage senior stakeholders (including C‑suite) and tell a clear, compelling story about the "why" behind recommendations.


• Experience identifying and prioritizing AI/data opportunities, designing roadmaps and operating models, and building business cases and ROI tied to revenue, cost, risk, and customer experience.


• Strong technical literacy across modern cloud and data platforms, data governance, AI governance, data/ML solutions (pipelines, models, SQL), and how these connect to business outcomes.


• Experience leading workshops (discovery, prioritization, "art of the possible"), driving change and adoption, and coaching/mentoring consultants and technical leaders.


• Track record of collaborating with client stakeholders, partners, and cross-functional teams, with a high sense of ownership and accountability.


• Repeatedly owned full lifecycle delivery of AI or data strategy engagements as day‑to‑day Engagement Lead.


• Comfortable managing complex single engagements or a small portfolio with strong planning, execution oversight, and stakeholder communication.


• Willingness to travel as required by clients.


• Additional expectations at the Principal level:
  
  
  
  • Extensive experience leading multi‑engagement or multi‑year AI/data strategy portfolios.
  
  
  • Has operated as a trusted advisor to executive teams and co‑owns account strategy, with a visible thought leadership profile and a strong track record developing other Engagement Leads.