AI Practice Leader
| Company | Udig |
|---|---|
| Location | Nashville, TN, USA, Richmond, VA, USA, Atlanta, GA, USA |
| Salary | $Not Provided – $Not Provided |
| Type | Full-Time |
| Degrees | Bachelor’s, Master’s, PhD |
| Experience Level | Expert or higher |
Requirements
- 10+ years of experience in, or across data science, machine learning, or Artificial Intelligence (AI) strategy and delivery
- 5+ years of consulting experience
- Deep technical expertise in applied machine learning, computer vision, NLP, LLMs, VLMs and the data needed to run it
- A strong sense of problem-solving—you know how to diagnose client needs, ask the right questions, and define a smart, scalable path forward
- A history of delivering measurable impact—increased efficiency, new capabilities, or data-driven decision-making
- Comfort leading complex, consultative conversations—you’re credible in the room, curious in approach, and confident in guiding decisions
- Experience leading teams and growing technical capabilities with empathy and vision
- A collaborative mindset—you build trust easily and know how to partner across business, design, and engineering
- Bachelor’s degree in Computer Science, Engineering, or a quantitative field required. A Master’s or PhD in a related discipline is strongly preferred, especially with a focus in AI, Machine Learning, or Data Science. Equivalent experience leading AI initiatives and delivering business impact will also be considered.
Responsibilities
- Translate AI into business value. Help clients understand where AI fits, how it works, and what outcomes they can expect—turning technical depth into clear, compelling narratives.
- Drive strategy and execution. Lead engagements from scoping to delivery, ensuring every solution is right-sized, high-impact, and aligned to business goals.
- Lead and grow a strong team. Mentor and develop data scientists and engineers while shaping the future of UDig’s AI capabilities and standards.
- Shape pre-sales conversations. Partner with sales and client leads to scope new opportunities, craft proposals, and bring the right ideas to the table.
- Build the brand. Represent UDig’s AI perspective by creating thought leadership content, speaking at industry events, and helping elevate our voice in the market.
- Stay ahead of the curve. Keep tabs on emerging tech, tools, and ethical standards so UDig continues to bring smart, responsible AI thinking to clients.
- Build reusable tools and frameworks. Turn great ideas into repeatable accelerators that scale value across clients and teams.
Preferred Qualifications
- A Master’s or PhD in a related discipline is strongly preferred, especially with a focus in AI, Machine Learning, or Data Science.