Manager - Data Science & AI Consulting

Manager
- Data Science & Ai Consulting

Arthur

D. Little (ADL) is seeking a Manager
- Data Science & AI Consulting to join our SPACE team. This is a player-coach role for an experienced artificial intelligence practitioner who combines deep technical expertise with strong consulting, leadership, and interpersonal skills.

The successful candidate will work directly with clients to identify high-value opportunities for artificial intelligence, rapidly translate business problems into technical solutions, and lead multidisciplinary teams through implementation. They are expected to remain hands-on with technology - architecting solutions, prototyping, reviewing code, and solving difficult technical problems - while simultaneously managing teams and advising senior client stakeholders.

The role sits at the intersection of a forward-deployed artificial intelligence engineer, technical product leader, and management consultant: someone equally comfortable working alongside engineers and data scientists or leading a discussion with client executives.

At Arthur

D. Little, you will work with a global network of industry experts, data scientists, engineers, and strategists driving digital transformation across sectors. The SPACE team is at the forefront of shaping how artificial intelligence and data redefine value creation, combining ADL's strategic heritage with deep technical expertise and hands-on delivery.

This role offers the opportunity to help clients move beyond artificial intelligence strategy and experimentation to build solutions that deliver measurable business impact - while developing teams, shaping client relationships, and contributing to the growth of ADL's artificial intelligence capabilities in the Americas.

• Lead end-to-end artificial intelligence and data science engagements - from problem framing and model design through prototyping, implementation, and delivery.
• Operate as a player-coach, combining project and team leadership with direct, hands-on contribution to solution design and development.
• Rapidly prototype and build artificial intelligence and machine learning solutions to demonstrate feasibility, validate value, and accelerate client adoption.
• Design solution architectures and make pragmatic technical choices across models, data, applications, and infrastructure.
• Apply artificial intelligence, machine learning, and optimization techniques to address complex business challenges.
• Work side-by-side with client technical teams, data scientists, engineers, and business leaders to move solutions from concept and prototype into production.
• Review code and technical designs, troubleshoot difficult implementation problems, and provide technical direction to delivery teams.
• Translate ambiguous client problems into well-defined technical approaches, balancing business value, technical feasibility, speed, and scalability.
• Partner with clients to define data-driven strategies, identify value-creation opportunities, and translate analytical insights into actionable recommendations.
• Manage, mentor, and develop multidisciplinary teams of internal and external data scientists, engineers, and consultants while remaining actively involved in delivery.
• Build trusted relationships with senior client stakeholders and communicate complex technical concepts through clear, business-relevant narratives.
• Support business development by identifying opportunities, shaping proposals, designing solutions, and leading client presentations.
• Contribute to thought leadership and intellectual capital within ADL's SPACE practice, particularly in artificial intelligence, data strategy, and automation.
• Collaborate closely with ADL's global industry practices, including Life Sciences, Automotive, Telecommunications, Media, and Consumer Goods, to embed artificial intelligence-driven value creation across sectors.

• Hands-on artificial intelligence practitioner:
  Demonstrated track record personally designing, coding, and deploying artificial intelligence and machine learning solutions. This role is not intended for candidates whose recent experience has been primarily managing technical teams.
• Artificial intelligence and machine learning:
  Deep practical experience across machine learning and modern generative artificial intelligence, including large language models, retrieval-augmented generation, agents, evaluation, and optimization.
• Artificial intelligence engineering:
  Ability to take solutions from…