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.

Requirements

• 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.