AI Consulting Manager: Data Science Leader & Architect

Arthur D. Little Services S.A.S.; Boston; On-site; PHP 11,307,000 - 15,075,000; Full time

Job summary

Arthur D. Little is seeking a Manager – Data Science & AI Consulting to join our SPACE team in Boston or New York City. This player-coach role combines hands-on AI delivery with leadership, client engagement, and strategic guidance.

You will architect solutions, prototype quickly, review code, and steer multidisciplinary teams to client-ready results. The role requires deep AI/ML expertise, strong consulting and communication skills, and the ability to translate business problems into actionable

Qualifications

• Hands-on experience designing, coding, and deploying AI/ML solutions; not just managing teams.
• Experience with modern AI stacks, including LLMs, retrieval-augmented generation, agents, evaluation, and optimization.
• Able to translate business problems into technical solutions and architectures.

Responsibilities

• Lead end-to-end AI and data science engagements from problem framing to delivery.
• Operate as player-coach, contributing to solution design while guiding teams.
• Prototype AI/ML solutions to demonstrate value and accelerate adoption.
• Design architectures across models, data, and infrastructure.
• Apply AI/ML and optimization to solve complex business challenges.
• Collaborate with client teams and executives to move projects into production.
• Review code and designs, troubleshoot, and provide technical direction.

Skills

Hands-on AI

AI/ML engineering

Python

SQL

Cloud platforms

Leadership

Client consulting

Prototyping

Team leadership

Tools

PyTorch

LangChain

Vector databases

Databricks

Azure

AWS

GCP

Job description

Arthur D. Little is seeking a Manager – Data Science & AI Consulting to join our SPACE team in Boston or New York City. This player-coach role combines hands-on AI delivery with leadership, client engagement, and strategic guidance.

You will architect solutions, prototype quickly, review code, and steer multidisciplinary teams to client-ready results. The role requires deep AI/ML expertise, strong consulting and communication skills, and the ability to translate business problems into actionable