Lead Data Scientist developing AML transaction - monitoring models for RBC, a major Canadian bank. Applying machine learning, rules, and analytics to identify financial crime risk.
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
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
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