Consultant, AI Strategy & GovernanceDepartment: Data Analytics
Employment Type: Full Time
Location: Atlanta
DescriptionThe RoleWe 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.
What You'll Do- 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
Who You'll Work With- Senior strategists and engagement leads who will mentor you and provide hands-on guidance across client engagements
- Clients across industries including financial services, energy and utilities, retail, healthcare, and technology who are building AI governance capabilities
- Cross-functional stakeholders spanning technology, legal, risk, compliance, HR, and business operations
- Colleagues who prioritize curiosity, humility, collaboration, and hands-on problem-solving
- A supportive environment where ongoing learning and mentorship are central to your professional growth
What You'll Bring- 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
Bonus Points If You Have- 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
