Lead Data Management Specialist

This is a fully remote position, open to applicants in Canada.

📋 Description

• Take charge of Coupa’s AI-readiness layer for data, which includes establishing source-of-truth designations and making data fitness decisions for AI applications.

• Establish and disseminate enterprise standards for AI-ready data assets.

• Expand the data catalog into an AI asset inventory, categorizing assets as AI-ready, AI-restricted, or AI-prohibited.

• Collaborate with Enterprise Data Management to refresh data quality flowing into vector stores, RAG indexes, and prompt-time lookups.

• Connect governed metric definitions and lineage to consumers of AI.

• Outline requirements for AI-aware data quality monitoring.

• Create and maintain Coupa’s AI data governance playbook and associated policies.

• Develop and manage an intake and review process for new AI use cases, aiming for a five-business-day turnaround.

• Convert GDPR, SOC 2, EU AI Act, and NIST AI RMF requirements into operational standards.

• Engage in AI Delivery & Execution planning, participate in sprint reviews, and involve yourself in architecture discussions.

• Co-manage the AI/API gateway strategy, defining governance, outcomes, and observability requirements.

• Specify controls for the gateway concerning PII detection/redaction, prompt sanitization, content filtering, and prompt/response logging.

• Establish observability and reporting requirements for the gateway, covering usage, anomalies, costs, and SLAs.

• Collaborate with AI engineers on data sourcing and human-in-the-loop decisions.

• Jointly address AI quality incidents across the gateway, RAG pipeline, and source records.

⛳️ Requirements

• Over 8 years of relevant experience.

• At least 5 years in a role such as Data Product Manager, Technical Program Manager, or a similar position responsible for data products and leading cross-functional implementations.

• Proven experience in delivering AI/ML solutions from start to finish in an enterprise setting.

• Practical knowledge of prompt engineering, retrieval-augmented generation (RAG), embeddings, and agent frameworks.

• Understanding of issues like hallucination, prompt injection, data leakage, and training-data contamination failure modes.

• Familiarity with data governance principles and frameworks such as DAMA-DMBOK or DCAM.

• Direct experience with data quality standards, CDE frameworks, source-of-truth designations, or metadata/catalog programs.

• Knowledge of API governance platforms and gateway strategies.

• Proficient in SQL for data quality profiling against warehouse tables, such as Snowflake.

• Working knowledge of GDPR, CCPA, EU AI Act, and NIST AI RMF.

• Excellent written communication skills for drafting 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.