Managing Consultant - AI Strategy & Governance

Thought Logic•Atlanta, GA

About The Position

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.

Requirements

7–12 years of professional experience in management consulting, AI/data strategy, governance, or a related strategic advisory role
Demonstrated experience designing AI or data governance frameworks, operating models, and policy suites for enterprise organizations
Strong understanding of data and AI concepts including Generative AI, Agentic AI, machine learning, data governance, data quality, and responsible AI principles
Experience conducting organizational maturity assessments and translating findings into actionable roadmaps and prioritized initiatives
Proven ability to facilitate executive-level stakeholder workshops, build cross-functional alignment, and resolve competing priorities across complex organizations
Strong problem-solving skills with the ability to navigate ambiguity, synthesize complex information, and deliver structured, defensible recommendations
Excellent written and verbal communication skills, including the ability to develop polished executive-ready deliverables
Bachelor’s degree in Business, Technology, Data Science, Engineering, or a related field
Currently reside in Atlanta, GA or willingness to relocate at your expense
Ability to legally work for any employer in the US without sponsorship

Nice To Haves

Big 4 or top-tier management consulting experience
Experience standing up AI governance councils, review boards, or Centers of Excellence from the ground up
Hands-on familiarity with data and AI platforms such as Snowflake, Databricks, or Palantir Foundry
Experience with AI risk classification frameworks, shadow AI discovery, or AI compliance programs
Prior work in regulated industries (financial services, energy, healthcare) where governance complexity is high
Relevant certifications in data governance, AI, change management, or project management

Responsibilities

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