Managing Consultant, AI Strategy & Governance

Thought Logic Consulting is a functionally-led, digitally enabled consultancy that exists at the intersection of business transformation and technology innovation. We partner with clients to solve their most complex business problems and we do it in a highly collaborative, local-market approach, giving clients senior-level attention and giving our consultants room to grow, lead, and build.

The Role We are seeking an experienced and driven AI Strategy & Governance consultant with 7–12 years of experience to join our growing Data & AI practice in Atlanta, GA. As the lead strategist on client engagements, you will guide organizations in transforming AI from fragmented experimentation into scalable, enterprise capabilities that deliver measurable business value. You will design AI operating models, establish governance frameworks, and define decision rights, policy structures, and roadmaps that enable responsible and effective AI adoption. This is a high-visibility role requiring both deep subject matter expertise and strong client relationship skills.

What You'll Do

• Lead AI and data maturity assessments to identify gaps and define transformation priorities
• Define target-state AI operating models, including roles, decision rights, and organizational structure
• Develop AI use case roadmaps aligned to business value, feasibility, and strategic objectives
• Advise executives on Generative and Agentic AI adoption strategies and scaling approaches
• Design Center of Excellence (CoE) models to enable enterprise-wide AI adoption
• Facilitate executive alignment across enterprise architecture, legal, privacy, information security, and business leadership
• Serve as a strategic advisor to senior leaders, shaping long-term AI vision and investment priorities
• Design governance frameworks including policies, standards, and control structures
• Establish decision rights, escalation pathways, and governance forums
• Develop policy suites covering responsible AI, tool usage, risk classification, and regulatory compliance
• Build intake, prioritization, and risk classification workflows for AI and data initiatives
• Define governance operating cadences, reporting structures, and accountability models
• Partner with engineering teams to define continuous monitoring standards, model performance tracking, and model risk management approaches
• Lead implementation of governance processes to transition from ad hoc to structured AI adoption
• Drive knowledge transfer to embed governance capabilities within client organizations
• Develop change management strategies to position governance as an enabler of innovation
• Lead stakeholder engagement and communication to drive adoption across the enterprise