AI Consulting Manager: Data Science & ML

experienced-careers-adlittle

Boston (MA)

On-site

USD 180,000 - 240,000

Full time

2 days ago
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Job summary

Arthur D. Little seeks a Manager - Data Science & AI Consulting to join the SPACE team. This player-coach role combines deep technical AI work with leadership, strategy, and client engagement across the Americas.

You will architect solutions, prototype, review code, and guide multidisciplinary teams while maintaining hands-on engineering involvement. The role emphasizes translating business problems into technical deliverables, delivering measurable impact, and mentoring data scientists,

Qualifications

  • Hands-on AI practitioner with track record of designing and deploying AI/ML solutions.
  • Deep experience with modern ML techniques including LLMs, RAG, agents, evaluation.
  • Experience taking AI/ML from prototyping to production, with architecture and testing.
  • Advanced Python and SQL skills; comfortable reviewing production code.
  • Experience with PyTorch, Hugging Face, LangChain, vector/databases, and cloud platforms.

Responsibilities

  • Lead end-to-end AI and data science engagements from problem framing to delivery.
  • Act as player-coach, combining leadership with hands-on contribution to solutions.
  • Prototype and build AI/ML solutions to demonstrate value and accelerate adoption.
  • Design architectures across models, data, apps, and infrastructure.
  • Collaborate with clients and multidisciplinary teams, translating insights into actions.

Skills

Hands-on AI practitioner
Python
SQL
Leadership
Client consulting
Cloud platforms
PyTorch
LangChain

Tools

PyTorch
scikit-learn
Hugging Face
LangChain
Databricks
Azure
AWS
Google Cloud

Job description

Arthur D. Little seeks a Manager - Data Science & AI Consulting to join the SPACE team. This player-coach role combines deep technical AI work with leadership, strategy, and client engagement across the Americas.

You will architect solutions, prototype, review code, and guide multidisciplinary teams while maintaining hands-on engineering involvement. The role emphasizes translating business problems into technical deliverables, delivering measurable impact, and mentoring data scientists,

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