AI Prototyping & Transformation Associate

About The Role

The Transformation Office within Performance Consulting (PC) is a rapid AI prototyping capability focused on moving engagements from recommendation to working solution. As a Process Improvement Associate, you will be a hands-on contributor building AI-first prototypes alongside senior team members. You will assess processes, analyze data, and craft future designs to enhance operational performance, creating working prototypes that demonstrate value through real execution. The focus is on problem-solving and disciplined application of AI, not just tool utilization.

Key Responsibilities

• Support hands-on prototyping: Contribute to apps, point solutions, and agentic workflows through discovery, iterative build, and validation.
• Assess and map processes: Analyze data and help craft future designs to enhance operational performance.
• Break down problems: Use hypothesis-driven thinking and analysis to develop insights and actionable recommendations.
• Leverage AI tooling under guidance: Use generative AI, copilots, and firm-approved platforms like Claude Code and Copilot to produce real, working outputs.
• Capture institutional knowledge: Help translate business rules and decision logic into durable assets.
• Learn to build AI-first: With support, learn to build and migrate toward AI-first solutions, adhering to firm-prescribed facilities, controls, and guardrails.
• Craft compelling narratives: Communicate complex ideas clearly to influence change.
• Account for adoption: Be mindful of change management and human capital impact for prototype adoption.
• Own workstream deliverables: Take ownership of assigned work from planning to execution, delivering high-quality outcomes.

Requirements & Tech Stack

• Generative AI, Copilots, Agentic Tooling (e.g., Claude Code, Copilot)
• Data Analytics
• SQL, Python, R (Preferred)
• Tableau, Power BI (Preferred)
• Lean Six Sigma (GB/BB) (Preferred)
• Google Data Analytics Certificate (Preferred)
• AI/ML Certification (Preferred)

Qualifications

• Professional work or internship experience with a proven track record of developing strategic business recommendations or improvements that deliver measurable results.
• Demonstrated hands-on ability to build: Written code, stood up applications or point solutions, or produced working outputs.
• Practical, developing experience using generative AI, copilots, or agentic tooling (e.g., Claude Code, Copilot) to produce real outputs.
• Proven ability to apply analytical and problem-solving skills to complex operational issues.
• Strong client management and communication skills.
• Demonstrated proficiency in data analytics, with experience interpreting models and diagrams.
• Growing technical acumen: Ability to work credibly with engineers and reason about architecture, data, and integration.
• Business fluency: Ability to understand a business problem and translate it for stakeholders.
• Strong communication and storytelling skills.
• A bias toward action, comfort with ambiguity, and resourcefulness.
• Demonstrated foundational understanding of AI concepts, with the ability to identify opportunities for AI solutions.
• Ability to travel up to 10%.

Preferred Qualifications

• 2+ years of professional or internship experience within management consulting, financial services, and/or professional process improvement background.
• Background in software engineering, product engineering, developer enablement, or a comparable technical discipline.
• Exposure to prompt design, workflow orchestration, human-in-the-loop controls, evaluation approaches, and responsible-AI guardrails.
• Exposure to regulated or large-scale enterprise environments with considerations for risk, control, and operational readiness.
• Developing experience using AI-powered analytics, workflow automation, or intelligent process tools.