Lead Data Management Specialist

RemoteLeadPosted Aug 17, 2026

AILLMsSnowflakeSQL+11 more

About this role

Technical Lead, AI Data Governance at Coupa Software. Own the data governance and gateway strategy for GenAI and agentic applications, ensuring data flowing into AI tools is governed, trusted, and fit for purpose. Partner with Enterprise Data Management, AI Delivery & Execution, and InfoSec to enforce policies that protect the company.

Must have

8+ years of related experience with at least 5 years as Data Product Manager or Technical Program Manager

Track record shipping AI/ML solutions end-to-end in an enterprise environment

Working knowledge of LLM application patterns including prompt engineering, RAG, embeddings, and agent frameworks

Solid grounding in data governance principles and frameworks such as DAMA-DMBOK or DCAM

Familiarity with API governance platforms and gateway strategy

SQL fluency sufficient to profile data quality against warehouse tables like Snowflake

Working familiarity with GDPR, CCPA, EU AI Act, and NIST AI RMF

Strong written communication skills for authoring policies and playbooks

Technologies

PythonSQLGitRESTJiraMachine learningSnowflakeData analyticsAIData scienceData modelingCI/CDLLMsAPIGDPR

Responsibilities

Own the AI-readiness framework defining completeness, freshness, accuracy, lineage, consent, and source-of-truth for enterprise data assets

Drive extension of the data catalog into an AI asset inventory rating assets as AI-ready, AI-restricted, or AI-prohibited

Partner with Enterprise Data Management to ensure data quality refreshes flow into vector stores, RAG indexes, and prompt-time lookups

Author and maintain Coupa's AI data governance playbook covering acceptable use, data classification, prompt logging, and model deprecation

Build and run intake and review for new AI use cases with five business day turnaround target

Translate compliance and regulatory requirements into operational standards for data and AI teams

Co-own the AI/API gateway defining governance policies, observability requirements, and gateway-level controls for PII detection and prompt sanitization

Embed in AI Delivery & Execution team planning rituals, sprint reviews, and architecture discussions

Pair with AI engineers on data sourcing decisions and triage AI quality incidents jointly tracing issues through gateway and RAG pipeline

Benefits

Flexible time offPaid volunteer daysEmployee Assistance ProgramPaid parental leaveHealth insuranceDental insuranceRetirement benefits with matchReferral program

Amenities

Remote work from CanadaTwo designated company-wide paid wellness days annuallyPaid birthday day off40 hours of paid volunteer time off annuallyBusiness travel protection through Zurich Travel Assist