Baker Tilly Consulting Jobs (NOW HIRING)

Baker Tilly is a leading advisory, tax and assurance firm, providing clients with a genuine coast-to-coast and global advantage in major regions of the U.S. and in many of the world's leading financial centers - New York, London, San Francisco, Los Angeles, Chicago and Boston. Baker Tilly Advisory Group, LP and Baker Tilly US, LLP (Baker Tilly) provide professional services through an alternative practice structure in accordance with the AICPA Code of Professional Conduct and applicable laws, regulations and professional standards. Baker Tilly US, LLP is a licensed independent CPA firm that provides attest services to its clients. Baker Tilly Advisory Group, LP and its subsidiary entities provide tax and business advisory services to their clients. Baker Tilly Advisory Group, LP and its subsidiary entities are not licensed CPA firms.

Baker Tilly Advisory Group, LP and Baker Tilly US, LLP, trading as Baker Tilly, are independent members of Baker Tilly International, a worldwide network of independent accounting and business advisory firms in 141 territories, with 43,000 professionals and a combined worldwide revenue of $5.2 billion. Visitbakertilly.comor join the conversation onLinkedIn,FacebookandInstagram.

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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. The firm has already established enterprise AI infrastructure and completed significant use-case identification. The opportunity now is to translate that foundation into a clear vision, an actionable portfolio of priorities, and measurable changes in how consulting services are delivered.

This is a business leadership role-not ownership of the underlying AI technology platform or technical delivery organization. The Director must bring enough technical depth to engage credibly with architects, engineers, data professionals, security teams, and platform owners; critically evaluate proposed approaches; challenge assumptions, estimates, constraints, and tradeoffs; and direct technical requests toward the business outcomes Consulting requires. The role will partner closely with the team responsible for OpenAI Enterprise (Anthropic and other tools in consideration), ensuring that technical decisions reflect real consulting workflows, economics, priorities, and adoption needs.

The successful candidate will combine consulting-business fluency, deep applied understanding of modern AI, strategic vision, commercial acumen, rigorous critical thinking, and strong executive influence. They will help practice leaders distinguish meaningful advances from market noise, envision new delivery models, understand revenue and margin implications, and prepare the consulting workforce for sustained change. They must also be comfortable constructively challenging technical teams when recommendations are insufficiently grounded in business value, user needs, practicality, or scale.

• 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.

• 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.

• Help convert high-value concepts into repeatable methods, accelerators, playbooks, and operating capabilities that can be adopted across practices.

• 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.

• Apply sufficient technical depth to assess 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.

• 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.

• 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.

• Visionary but pragmatic: able to imagine materially different ways of delivering consulting services and convert them into executable priorities.

• Commercially minded: understands how professional services generate revenue and profit, and how changes in effort, leverage, pricing, quality, and speed affect economics.

• AI-fluent and technically credible: possesses deep applied knowledge of generative AI, agents, retrieval, data, integrations, model capabilities, limitations, and responsible deployment practices-sufficient to engage technical specialists, evaluate proposed solutions, and challenge weak reasoning without serving as the technical delivery owner.

• Business-to-technology director: can turn business strategy and consulting workflows into precise technical requests, define the outcomes and constraints that matter, and ensure technical teams remain aligned to commercial and operational value.

• Critical and independent thinker: tests assumptions, probes recommendations, compares alternatives, recognizes unsupported claims, and makes sound decisions when technical and business perspectives diverge.

• Influential and collaborative: builds trust with executives, practice leaders, practitioners, technologists, and control functions across a complex national firm.

• Disciplined and discerning: applies sound judgment to balance speed, innovation, professional standards, risk, and long-term scalability.

• Change-oriented: understands that sustainable AI activation requires shifts in behavior, skills, roles, incentives, and operating models-not merely access to tools.

• Consulting leaders share and act on a clear, credible vision for AI-enabled service delivery.

• A focused portfolio of priority initiatives moves from identified opportunity to adoption and scale.

• AI capability and technical delivery requests are precise, outcome-oriented, appropriately challenged, and aligned with Consulting priorities and enterprise platform strategy.

• Practices demonstrate measurable improvements in quality, speed, knowledge reuse, workforce readiness, revenue potential, and/or profit margin.

• Consulting professionals have practical, role-relevant ways to build AI capability and apply it responsibly in their work.

• Baker Tilly strengthens its competitive position by using AI to enhance expertise, judgment, client value, and scalability-not merely reduce effort.

• Internal, non-client-facing leadership role supporting the national Consulting business.

• Works closely with Consulting executive leadership, practice leaders, AI implementation leads, Innovation, Applied AI/technology teams, Learning & Development, Talent, Legal, Risk, Information Security, and other enterprise functions.

• Does not own enterprise AI infrastructure, architecture, engineering, or technical operations; owns the Consulting business vision, activation agenda, prioritization, business requirements, and value realization-and provides informed direction and challenge to the technology owners.

• 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 move initiatives from concept through adoption and scale.

• Deep working knowledge of modern AI technologies and solution patterns, including generative AI, large language models, retrieval-augmented generation, agents, data and integration requirements, model limitations, evaluation, security, and human oversight.

• Demonstrated ability to engage architects, engineers, data professionals, and platform teams; frame effective technical requests; evaluate proposed approaches and estimates; identify gaps or weak assumptions; and constructively challenge technical recommendations.

• Exceptional critical-thinking and decision-making skills, including the ability to synthesize incomplete information, assess competing alternatives, distinguish genuine constraints from organizational preferences, and connect technical choices to business consequences.

• Executive-level communication, facilitation, and stakeholder-influence skills, including the ability to communicate complex AI and technology concepts in practical business terms.

• Experience partnering across business, technology, risk, legal, security, learning, and change-management functions.

• Strong judgment regarding responsible AI, data sensitivity, client confidentiality, intellectual property, human review, and quality control.

• Leadership experience within a large, multi-service consulting or professional-services organization.

• Demonstrated experience with enterprise generative AI platforms such as OpenAI Enterprise, (Anthropic and other tools in consideration), custom GPTs, AI agents, knowledge retrieval, workflow automation, or related capabilities.

• Experience creating or scaling AI-enabled offerings, delivery methods, accelerators, centers of excellence, champion networks, or enterprise adoption programs.

• Experience leading broad workforce enablement, knowledge-man...