Responsibilities
- Lead client engagements focused on Enterprise Data & AI strategies, aligning business objectives to solutions that are designed to scale
- Conduct stakeholder interviews, workshops, and assessments to evaluate current-state analytics and AI maturity across people, process, technology, governance, and readiness for scale
- Develop data monetization strategies, including internal value creation (e.g., operational efficiency, personalization) and external revenue models (e.g., data-as-a-service, API products)
- Identify and define data, analytics, & AI use cases, including the value proposition, feasibility and implementation plan
- Work closely with cross functional teams to define future-state data architectures, data governance models, data pipelines, MLOps frameworks, and product lifecycle workflows to support trusted data consumption
- Develop strategy deliverables, including roadmaps, operating models, governance structures, business cases, use-case prioritization frameworks, and transformation plans
- Create practice accelerators including delivery frameworks, maturity assessments, templates, and POVs for AI Strategy, Data Products, and Monetization.
- Support sales and business development by shaping proposals, participating in client pursuits, and driving thought leadership.
Work Arrangement
Remote (Worldwide)
Additional Information
- Full-time, remote work within the US or UK
- Atlanta-based applicants will have the opportunity to work in our headquarters in Sandy Springs, GA