Solution Analyst, Agentic Integrations - 11890

Coupa makes margins multiply through its community-generated AI and industry-leading total spend management platform for businesses large and small. Coupa AI is informed by trillions of dollars of direct and indirect spend data across a global network of 10M+ buyers and suppliers. We empower you with the ability to predict, prescribe, and automate smarter, more profitable business decisions to improve operating margins.

Why join Coupa? Pioneering Technology: At Coupa, we're at the forefront of innovation, leveraging the latest technology to empower our customers with greater efficiency and visibility in their spend. Collaborative Culture: We value collaboration and teamwork, and our culture is driven by transparency, openness, and a shared commitment to excellence. Global Impact: Join a company where your work has a global, measurable impact on our clients, the business, and each other. Learn more on Life at Coupa blog and hear from our employees about their experiences working at Coupa.

The Impact of a Solution Analyst, Agentic Integrations at Coupa:

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.

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