Consultant, AI Strategy & Governance

Thought Logic Consulting•Atlanta, GA

33d•Onsite

About The Position

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. We are looking for an analytically strong and motivated Consultant with 2–3 years of experience (or a recent MS/MBA graduate with a concentration in Data, Technology, AI, or a related field) to join our growing Data & AI practice based in Atlanta, GA. In this role, you will support senior consultants on client engagements by conducting research and benchmarking, documenting stakeholder interviews, developing strategy and governance artifacts and deliverables, and helping clients build the operational foundations for responsible AI adoption at scale. You will gain hands-on exposure to enterprise AI governance, operating model design, and cross-functional stakeholder engagement while building your consulting skills in a collaborative, client-facing environment.

Requirements

2–3 years of professional experience in consulting, data analytics, AI/technology strategy, governance, or a related analytical role; OR a recently completed MS or MBA with a concentration in Data Science, Technology, AI, Industrial Engineering, or a related field
Strong understanding of data and AI fundamentals including familiarity with Generative AI, Agentic AI, machine learning concepts, data governance, and responsible AI principles
Excellent analytical and research skills with the ability to synthesize complex information into clear, structured deliverables
Strong written and verbal communication skills, including the ability to create polished documents, presentations, and process visualizations
Ability to work collaboratively across teams, build rapport with stakeholders at various levels, and contribute to alignment and conflict resolution in cross-functional settings
Strong problem-solving orientation with comfort navigating ambiguity and managing multiple workstreams simultaneously
Proficiency in Microsoft Office (PowerPoint, Excel, Word) and familiarity with collaboration and visualization tools
Bachelor’s degree in Business, Technology, Data Science, Engineering, Industrial Engineering, or a related field

Nice To Haves

Previous consulting firm experience or internship in a strategy, governance, or analytics capacity
Exposure to AI governance frameworks, data governance programs, or enterprise operating model design
Familiarity with data and AI platforms such as Snowflake, Databricks, or Palantir Foundry
Background in Industrial Engineering, operations research, or process optimization methodologies
Experience with process mapping tools, data visualization, or business intelligence platforms
Relevant certifications in data, AI, cloud platforms, or project management

Responsibilities

Support current-state discovery by conducting research and benchmarking to assess AI maturity and industry positioning
Support intake and prioritization as well as the development of frameworks to facilitate it through data gathering and analysis
Synthesize findings into structured insights, reports, and recommendations
Develop executive-ready deliverables including process maps, workflow diagrams, RACIs, roadmaps, presentations, and summaries
Support stakeholder alignment across enterprise architecture, legal, privacy, information security, and business teams
Build and maintain inventories of AI tools, models, data assets, and vendors
Draft governance policies, standards, and risk classification templates, including guidance on tool usage
Partner with engineering teams to support documentation of monitoring approaches, model performance tracking, and risk controls
Participate in governance forums, documenting decisions and tracking action items
Coordinate stakeholder interviews and document key insights and requirements
Assist in development of training materials and adoption resources
Support cross-functional collaboration across legal, risk, compliance, and technology teams