Keystone is a premier economics, technology, and strategy consulting firm built to help companies lead through transformation. As breakthrough innovations reshape industries, redefine competition and change our society, complex and highly competitive ecosystems emerge. Keystone advises technology leaders, Fortune 100 companies, their legal counsel, and governments on business, economic, litigation, and regulatory strategy in relation to these innovations and competitive eco-systems. We operate globally from offices in Boston, New York City, San Francisco, Seattle, Washington, D.C., London, Dubai, and Bengaluru.

We’re growing quickly and looking for an exceptional Engagement Manager to help clients move from AI ambition to AI-native execution. This role is designed for someone who combines structured consulting judgment with hands-on fluency in agentic AI systems, modern technology architecture, and rigorous analytical problem-solving.

About the Engagement Manager – Data & AI Strategy Role

This role will work at the intersection of strategy, technology, and execution. You will scope ambiguous business problems, develop testable hypotheses, conduct rigorous analysis, and translate findings into clear client-ready recommendations. Just as importantly, you will operate as a builder: using, managing, and improving AI agents as part of the delivery team to accelerate workflows, raise quality, and create tangible client value.

This is not a traditional strategy consulting role with AI as an additional topic. Success requires being AI-native and high comfort working directly with AI tools, managing human-in-the-loop workflows, and partnering with technical and non-technical stakeholders to prototype and operationalize AI-enabled solutions.

Key Responsibilities

Drive AI-Native Strategy Work

Structure ambiguous client problems into clear workplans, hypotheses, analyses, and recommendations.
Conduct independent research, market analysis, technology landscape assessments, and competitive benchmarking.
Synthesize complex findings into crisp narratives for client executives, technical teams, and internal leadership.
Help identify high-impact AI use cases and translate them into pragmatic execution roadmaps.

Manage AI Agents as Part of the Delivery Team

Use agentic AI systems to complete and accelerate core consulting workflows, including research, synthesis, analysis, drafting, QA, and knowledge management.
Manage AI agents for quality, integration, human-in-the-loop review, and optimal contribution to project outcomes.
Design repeatable AI-enabled workflows that improve speed, rigor, and client value.
Evaluate outputs critically and maintain high standards for accuracy, judgment, and confidentiality.

Build, Prototype, and Implement

Work directly with AI tools rather than only advising from a distance.
Prototype solutions, prompts, workflows, and light technical approaches alongside clients and internal teams.
Partner with engineers, data scientists, and business stakeholders to understand feasibility, constraints, and implementation paths.
Bring a practical understanding of cloud infrastructure, data pipelines, LLM integration, and enterprise software ecosystems to client work.

Own Client-Ready Deliverables

Prepare high-quality analyses, memos, presentations, and executive communications.
Manage discrete workstreams with strong ownership, judgment, and attention to detail.
Contribute to client meetings and workshops with clear communication and structured thinking.
Operate effectively in fast-paced, ambiguous environments where priorities evolve quickly.

What You’ll Bring

Required

5+ years' experience in strategy consulting, business strategy, AI strategy, product strategy, technology strategy, or similarly rigorous analytical project work.
High level of comfort using AI tools and agentic workflows directly in professional work, including tasking agents, reviewing outputs, identifying gaps, and improving workflow quality.
Ability to evaluate AI-assisted outputs for quality, accuracy, business relevance, and client readiness.