Regional AI Product Enablement Analyst

About the role

The Quotient Inside Regional AI Product Enablement Analyst supports the AI Capability & Adoption function through structured AI experimentation, prompt engineering, workflow automation and enablement support. The role focuses on reliable execution, technical fluency and consistent knowledge capture, and develops expertise in AI tools and workflows for the Oliver Wyman Center of Excellence for Quotient Inside Americas. It is a hands-on contributor role emphasizing experimentation, documentation and quality delivery.

Key responsibilities

• Prompt engineering: run structured prompt testing and refinement, build, configure and test Skills, agents and other AI tools, and validate outputs for clarity, consistency, safety and usability
• Workflow prototyping: prototype lightweight AI workflows, build multi-step workflows with no-code and low-code tools (e.g. n8n, Power Automate), design triggers, branching and error handling, and set up human review checkpoints
• Manage credentials through each platform's credential store following firm security policies, and escalate technical constraints to developers when needed
• Documentation: build and maintain prompt libraries, skill libraries, living exemplars and guides, publish tested prompts and templates, and document use cases with clear setup steps
• Coaching support: support office hours and working sessions, help turn user questions into prompts, workflow ideas or backlog items, and guide colleagues to resources
• Feedback: track recurring questions and usage patterns, share observations with the AI Product Strategy team, and contribute to training materials and enablement decks

Required profile

• 2-4 years of experience in analytics, digital enablement or agentic building
• Experience building, storing and sharing reusable AI tools (Skills, Agents)
• Experience building automations in at least one no-code or low-code tool (e.g. n8n, Power Automate, Zapier, Make)
• Experience supporting documentation or analysis work in collaborative, cross-functional environments
• Portfolio or examples of AI workflows or agents built

Required skills

• Mult-agent (orchestrated) workflows, e.g. n8n, OpenAI Agents SDK, Claude Agent SDK, LangGraph
• Connecting to LLM APIs (OpenAI, Anthropic) with tool/function calling and structured outputs
• Working knowledge of Python or another scripting language
• Git-based version control (GitHub, GitLab, Azure DevOps) and secure API key management (secrets managers such as Azure Key Vault)
• Exposure to Azure or other cloud environments

What we offer

• Base salary range of $95,000 to $130,000, with possible performance-based incentives
• Health and welfare benefits, tuition assistance, 401K and other retirement programs, and employee assistance programs
• Hybrid work policy of 60% in-office attendance