About the role

Technical Lead governing AI data readiness and API gateways at Coupa, whose platform helps businesses optimize total spend. Defining safeguards for GenAI applications, data quality, compliance, and observability.

Responsibilities

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

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

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