Solution Analyst, Agentic Integrations - 11890

Job description

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](https://insde.co/uzoy) 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. ### What You'll Do: • 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 ### What You Will Bring to Coupa: • 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.