Lead Data Management Specialist

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Coupa Software

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

Founded 2006

💼 Consulting

📦 Logistics

🏥 Healthcare

Consulting • Logistics • Healthcare

Coupa Software is a leading provider of business spend management solutions. Their platform focuses on optimizing and transforming direct and indirect spend across procurement, finance, supply chain, and IT. Coupa leverages AI and extensive data insights to drive cost efficiencies, manage supplier relationships, and mitigate risks. With products covering areas such as invoicing, payments, expense management, and supply chain collaboration, Coupa serves a wide range of industries including automotive, healthcare, retail, and more. Their comprehensive community and partner ecosystem enable organizations to unlock hidden savings and improve compliance, promoting growth and resilience in a changing economic climate.

📋 Description

• Own Coupa’s AI-readiness layer for data, including source-of-truth designations and data fitness decisions for AI use cases • Define and publish enterprise standards for AI-ready data assets • Extend the data catalog into an AI asset inventory and classify assets as AI-ready, AI-restricted, or AI-prohibited • Partner with Enterprise Data Management on data quality refreshes flowing into vector stores, RAG indexes, and prompt-time lookups • Connect governed metric definitions and lineage to AI consumers • Define AI-aware data quality monitoring requirements • Author and maintain Coupa’s AI data governance playbook and policies • Build and run intake and review for new AI use cases, targeting five-business-day turnaround • Translate GDPR, SOC 2, EU AI Act, and NIST AI RMF requirements into operational standards • Participate in AI Delivery & Execution planning, sprint reviews, and architecture discussions • Co-own the AI/API gateway strategy and define governance, outcomes, and observability requirements • Specify gateway controls for PII detection/redaction, prompt sanitization, content filtering, and prompt/response logging • Define gateway observability and reporting requirements, including usage, anomalies, costs, and SLAs • Pair with AI engineers on data sourcing and human-in-the-loop decisions • Jointly triage AI quality incidents across the gateway, RAG pipeline, and source records

🎯 Requirements

• 8+ years of related experience • At least 5 years as a Data Product Manager, Technical Program Manager, or comparable role owning data products and driving cross-functional implementation • Track record shipping AI/ML solutions end-to-end in an enterprise environment • Working knowledge of prompt engineering, retrieval-augmented generation (RAG), embeddings, and agent frameworks • Familiarity with hallucination, prompt injection, data leakage, and training-data contamination failure modes • Knowledge of data governance principles and frameworks such as DAMA-DMBOK or DCAM • Hands-on experience with data quality standards, CDE frameworks, source-of-truth designations, or metadata/catalog programs • Familiarity with API governance platforms and gateway strategy • SQL fluency for profiling data quality against warehouse tables, such as Snowflake • Working familiarity with GDPR, CCPA, EU AI Act, and NIST AI RMF • Strong written communication for policies, playbooks, and decision memos

🏖️ Benefits

• Two designated company-wide paid wellness days off each year • Paid day off on your birthday or another day within your birthday month • 40 hours of paid volunteer time off annually • Free, confidential, 24/7/365 Employee Assistance Program counseling and resources • Business travel protection through Zurich Travel Assist • Monetary referral bonuses for successful referrals • Location-specific comprehensive medical/dental insurance • Location-specific retirement/pension plans • Location-specific life or accident protection