Solution Analyst, Agentic Integrations - 11890

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Bridges business requirements, the overall solution direction, and Coupa's curated Snowflake data mart with the agentic AI integrations this team builds. Takes the high-level solution — what the business needs, what data is available — and elaborates it into detailed, buildable integration specifications: field-level mappings, data contracts, error handling, edge cases. Unlike a pure spec-writer, this role also writes code directly on integrations when doing so is faster than a full handoff, working alongside the Integration Engineers. Owns the consumption-side relationship with the Data/Analytics team that curates the mart. Does not own or build the data mart itself.

• Gather and translate business requirements (Finance, Procurement, IT stakeholders) into agentic solution designs.

• Elaborate the overall solution direction into detailed technical specifications for each integration — field-level data mappings, transformation logic, error handling, and edge cases — before build starts.

• Partner with the Data/Analytics team that owns the Snowflake mart to define consumption requirements: which curated tables/views, refresh cadence, and access scope each agent use case needs.

• Define data contracts and semantic mappings between curated Snowflake datasets and MCP tool schemas/connector outputs.

• Produce solution blueprints — data flow, business logic, acceptance criteria — for each new agentic use case before build starts.

• Write code directly on integrations — prototypes, mapping/transformation logic, or first-pass connector implementations — particularly where a detailed spec alone would be slower than a working draft.

• Validate technical feasibility of proposed solutions with the Technical Architect against platform standards.

• Own use-case-level acceptance criteria; validate delivered connectors/agents meet business intent, not just technical spec.

• Maintain a living catalog of curated data domains and the agent use cases mapped to each.

• Serve as primary liaison between the integration team and business/data stakeholders

• 6+ years in solution/business analysis, integration engineering, or a similar role bridging business and engineering teams.

• Proficient in Python or TypeScript/Node.js — comfortable writing and shipping working code, not just specifying it for someone else to build.

• Strong SQL and hands-on experience with Snowflake (or a comparable cloud data warehouse) — data models, views, semantic layers.

• Track record translating ambiguous business requirements into detailed technical specifications engineering teams can build from directly.

• Working familiarity with agent/LLM tool-calling concepts (MCP or similar) — enough to scope feasible use cases and their detailed data flows.

• Understanding of data governance, access control, and data-quality concepts for curated analytical layers.

• Excellent stakeholder-facing communication in English; comfortable running requirements workshops with business leaders.