Consulting AI Director

About the role

Baker Tilly is seeking a senior consulting leader with deep applied AI expertise to define and lead the next phase of AI activation across our national consulting business.

Responsibilities

• Set the vision and activation strategy
• Define and communicate a compelling vision for how AI should reshape Baker Tilly Consulting over the near, medium, and longer term.
• Translate firm strategy, market developments, and identified use cases into a prioritized Consulting AI roadmap with clear sequencing, dependencies, investment needs, and success measures.
• Advise consulting executives and practice leaders on where to experiment, scale, pause, or redirect effort based on business value, feasibility, risk, and organizational readiness.
• Maintain a strong external perspective on advances in generative AI, agentic systems, knowledge technologies, and emerging delivery models, separating durable signals from short-lived hype.
• Reimagine consulting services and economics
• Partner with practice leaders and subject-matter experts to redesign service delivery, workflows, team structures, and client-value propositions around AI-enabled ways of working.
• Identify opportunities beyond labor efficiency, including improved quality and consistency, just-in-time staff training, stronger knowledge retention and dissemination, accelerated onboarding, enhanced judgment, and scalable access to expertise.
• Evaluate the implications of AI-enabled delivery for pricing, revenue growth, capacity, utilization, leverage models, profitability, intellectual property, and competitive differentiation.
• Develop business cases and decision frameworks that connect AI investments to measurable service-line and firm outcomes.
• Direct business-to-technology translation and challenge
• Serve as the primary Consulting business counterpart to the teams that manage enterprise AI platforms, data, integrations, security, architecture, and technical delivery.
• Convert consulting opportunities into clear, well-structured technical and capability requests, including business requirements, workflow context, priorities, use cases, data needs, integration needs, adoption expectations, constraints, and measurable outcomes.
• Audit proposed architectures and delivery approaches, ask incisive questions, surface hidden assumptions, evaluate tradeoffs, and challenge recommendations that do not adequately address consulting-business needs.
• Hold technology partners accountable for translating technical possibilities and limitations into clear business implications, options, risks, costs, dependencies, and decisions.
• Coordinate with technology, innovation, risk, legal, information security, learning, and other enterprise functions to advance initiatives with appropriate controls and accountability.
• Drive adoption and workforce readiness
• Align the Consulting AI strategy with the firm’s broader workforce upskilling, learning, talent, and change strategies.
• Define role-based AI capability expectations for consulting professionals, managers, leaders, specialists, and AI champions.
• Guide the development of practical enablement approaches, including embedded learning, workflow-based training, communities of practice, reusable knowledge assets, office hours, and leader communications.
• Build and mobilize a network of practice leaders, implementation leads, power users, and advocates who can translate the strategy into local action.
• Promote responsible experimentation while reinforcing appropriate human review, professional judgment, confidentiality, quality, and risk management.
• Create operating discipline and measurable progress
• Establish a practical intake, prioritization, pilot, measurement, and scale process for Consulting AI initiatives.
• Define scorecards and KPIs that measure adoption, service-delivery impact, quality, workforce capability, revenue contribution, margin effects, and progress from pilot to scaled use.
• Provide clear, decision-oriented updates to Consulting leadership on progress, barriers, risks, investment needs, and business outcomes.
• Capture lessons learned and success stories, and use them to accelerate adoption across service lines without creating unnecessary bureaucracy.

Qualifications

• Bachelor’s degree required; advanced degree or relevant professional credential preferred.
• 12+ years of experience in consulting, professional services, AI-enabled transformation, digital strategy, operating-model design, or a closely related field.
• Demonstrated experience applying AI to redesign business processes, knowledge work, service delivery, or professional workflows—not solely managing technology implementation.
• Strong understanding of consulting or professional-services economics, including pricing, utilization, leverage, capacity, revenue growth, and profitability.
• Proven ability to develop strategy, build business cases, prioritize a portfolio of opportunities, and deliver results.
• Excellent communication and collaboration skills.
• Ability to think critically and independently, challenge assumptions, and make sound decisions.
• Experience in leading cross-functional teams and driving change within organizations.