Description

The Team

The Global AI & Knowledge Organization (GAIKO) is A&M's central engine for AI strategy, enablement, and knowledge infrastructure. Led by the Chief AI & Knowledge Officer, the team bridges firm strategy and frontline delivery, responsible for how A&M adopts, governs, and scales AI across its practices and geographies.

The team's mandate spans the full lifecycle of AI at A&M: from rolling out enterprise tools like Claude to thousands of practitioners across the US, Australia, and Europe, to building the platforms and governance frameworks that ensure AI work is reusable, compliant, and compounding in value over time.

How you will contribute

The GAIKO team is building A&M's enterprise AI capability - governing the tools, connectors, and workflows that consulting teams rely on to deliver client work. The Product Analyst will be the operational backbone of AI tools delivery at A&M, keeping the platform running smoothly, features verified, and users well-supported. Working closely with the Product Manager and business unit leads, this role ensures the day-to-day quality and reliability of AI tools from initial rollout through firm-wide scale.

AI tools only create value if practitioners can access them, trust them, and use them effectively. That means managing rollouts carefully across business units, enabling consulting teams with the context they need to adopt new capabilities, and maintaining rigorous standards for which connectors and integrations are authorized for use. By ensuring that the right tools reach the right teams in a compliant, consistent way, the Product Analyst raises A&M's baseline AI capability across the firm and reduces the risk of ungoverned or inconsistent adoption in the field. This is the person who makes that promise real every day.

This is an excellent opportunity for an analytically strong professional who wants to build expertise at the intersection of AI enablement, knowledge operations, and product support in a leading global consulting firm.

• Support the Product Manager in developing and maintaining the AI tools roadmap, tracking feature delivery milestones and translating priorities into actionable plans
• Monitor and report on performance metrics across AI tools, surfacing adoption trends, usage patterns, and issues to inform decision-making
• Serve as the first line of support for business units on enablement requests, coordinating onboarding, training, and adoption guidance for consulting teams
• Lead day-to-day planning and coordination of feature and connector evaluations, security reviews, and deployment sequencing - ensuring each step meets firm governance and compliance standards before rollout
• Coordinate with support, training, and communications teams on technical issue resolution and deployment execution, ensuring consistent messaging and a smooth experience for end users across the firm
• Work closely with the Product Manager, AI CoE team, and business unit leads to align delivery priorities with practice-area needs and firm-wide enablement goals
• Maintain clear documentation of tool configurations, authorized connectors, evaluation outcomes, and rollout status to support auditability and institutional knowledge
• Design, run, and evaluate POCs/pilots for new tools or features against defined success criteria; make go/no-go recommendations to the Product Director
• Trial new features hands-on as they release; analyze and summarize capabilities, limitations, and fit for A&M workflows
• Build and deliver demos to stakeholders (Product team, business unit leads, practitioners)
• Be a hands-on practitioner: personally build prototypes with AI tools (e.g. Cowork, Code) to redesign internal product and team workflows
• Surface trends and issues to inform Product Director and Product Manager decision-making

Qualifications

Required

• 2-4 years of experience in product operations, business analysis, knowledge management, or a related support function
• Strong analytical skills: comfortable pulling and summarizing usage data, building simple dashboards, and spotting trends
• Hands on experience with AI tools - Prompts, Skills development, Cowork.
• High attention to detail and a process-oriented mindset - you find satisfaction in well-organized, accurate systems
• Clear, professional written communication; able to write user-facing documentation and internal status updates with equal ease
• Hands-on experience using platforms such as Claude, Cowork, ChatGPT, or similar tools in a professional context and a passion for the evolving landscape of enterprise AI capabilities
• Comfortable working across time zones and with global teams

Preferred

• Experience with content governance, asset libraries, or structured knowledge repositories is a plus
• Prior consulting or professional services experience is a plus

The salary range is $80,000 - $95,000 annually, dependent on several variables including but not limited to education, experience, skills, and geography. In addition, A&M offers a discretionary bonus program which is based on a number of factors, including individual and firm performance. Please ask your recruiter for details.

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