Lead Data Management Specialist

Coupa makes margins multiply through its community-generated AI and industry-leading total spend management platform for businesses large and small. Coupa AI is informed by trillions of dollars of direct and indirect spend data across a global network of 10M+ buyers and suppliers. We empower you with the ability to predict, prescribe, and automate smarter, more profitable business decisions to improve operating margins.

Why join Coupa?

🔹 Pioneering Technology: At Coupa, we're at the forefront of innovation, leveraging the latest technology to empower our customers with greater efficiency and visibility in their spend.
🔹 Collaborative Culture: We value collaboration and teamwork, and our culture is driven by transparency, openness, and a shared commitment to excellence.
🔹 Global Impact: Join a company where your work has a global, measurable impact on our clients, the business, and each other.

Learn more on Life at Coupa blog and hear from our employees about their experiences working at Coupa.

The Impact of a Lead Data Management Specialist at Coupa:
Coupa is hiring a Technical Lead, AI Data Governance to own the data governance and gateway strategy that makes the company’s growing portfolio of AI tools and agents safe to ship. The role makes sure the data flowing into Coupa’s GenAI and agentic applications is governed, trusted, and fit for purpose, and that the API gateway in front of LLM traffic enforces the policies that protect the company.
This is a senior individual contributor role reporting to the Director, Data Governance. The role partners daily with Enterprise Data Management, AI Delivery & Execution, and InfoSec.

At Coupa, we are 100% committed to creating and nurturing an environment that supports your physical, mental, and community well-being . We offer a comprehensive suite of benefits designed to help you and your family thrive:

Global Well-Being Perks (For All Employees Globally)
Global Wellness Days: Enjoy two designated, company-wide paid wellness days off each year (typically the first Friday in March and the last Friday in September) so the entire global team can unplug, step away, and recharge together .
Birthday Time-Off: Celebrate your day! Coupa provides a paid day off on your birthday or another day of your choice within your birthday month .
Volunteer Time Off (VTO): Giving back is in our DNA. We offer 40 hours of paid VTO annually to support the community initiatives and volunteer programs you are passionate about .
Employee Assistance Program (EAP): Access free, confidential, 24/7/365 counseling and resources for emotional support, work-life solutions, financial advice, legal guidance, and support for new parents .
Business Travel Protection: Travel with peace of mind. Zurich Travel Assist provides medical, safety, pre-trip planning, and emergency support during any business travel .
Referral Bonus Program: Share the Coupa experience! Receive generous monetary referral bonuses when you successfully refer talented friends or acquaintances who are hired into open roles .
Please note: In addition to these global well-being perks, Coupa offers highly competitive, location-specific benefits packages (which include comprehensive medical/dental insurance, retirement/pension plans, and life or accident protection) tailored to your primary work location. Your recruiter will walk you through the specific regional benefits package for this role during the interview process.

Coupa complies with relevant laws and regulations regarding equal opportunity and offers a welcoming and inclusive work environment. Decisions related to hiring, compensation, training, or evaluating performance are made fairly, and we provide equal employment opportunities to all qualified candidates and employees.

Please be advised that inquiries or resumes from recruiters will not be accepted.

By submitting your application, you acknowledge that you have read Coupa’s Privacy Policy and understand that Coupa receives/collects your application, including your personal data, for the purposes of managing Coupa's ongoing recruitment and placement activities, including for employment purposes in the event of a successful application and for notification of future job opportunities if you did not succeed the first time. You will find more details about how your application is processed, the purposes of processing, and how long we retain your application in our Privacy Policy.

Own the AI-Readiness Layer for Coupa’s Data

• Resolve the data fitness questions AI builders raise day-to-day: which data sources fit which AI use case, what can safely go into a prompt, which dataset is the source of truth for a given attribute, and what meets the freshness or accuracy bar for retrieval. The AI-readiness framework and source-of-truth designations this role owns produce those answers.

• Define what AI-readiness means for an enterprise data asset (completeness, freshness, accuracy, lineage, consent, licensing, source-of-truth designation), and publish that framework as Coupa’s standard.

• Drive extension of the data catalog into an AI asset inventory. Rate each in-scope asset as AI-ready, AI-restricted, or AI-prohibited, with documented criteria, owners, and review cadence.

• Partner with Enterprise Data Management to ensure foundational data quality refreshes (third-party account and contact enrichment, dedupe, taxonomy, address standardization) flow downstream into the vector stores, RAG indexes, and prompt-time lookups AI applications depend on.

• Connect the metric library to AI consumers: every number an AI tool surfaces traces back to a governed metric definition, with documented and testable lineage.

• Define AI-aware data quality monitoring requirements.

Set AI Data Governance Standards and Policy

• Author and maintain Coupa’s AI data governance playbook: acceptable use, data classification for AI consumption, prompt logging, human-in-the-loop expectations, and model deprecation policies.

• Build and run intake and review for new AI use cases. Evaluate data sensitivity, source quality, source-of-truth alignment, and gateway requirements before launch. Target turnaround: five business days.

• Translate compliance and regulatory requirements (GDPR, SOC 2, EU AI Act, NIST AI RMF) into operational standards the data and AI teams can apply.

Partner with AI Delivery & Execution

• Embed in the AI Delivery & Execution team’s planning rituals, sprint reviews, and architecture discussions on a regular cadence.

• Co-own the AI/API  gateway. Define the governance policies, target outcomes, and observability requirements; the AI Delivery engineering team builds the applications that integrate with it.

• Define gateway-level controls for PII detection and redaction, prompt sanitization, content filtering, and prompt/response logging. Translate compliance and policy decisions into specifications engineering can build.

• Define observability and reporting requirements for the gateway: usage by team and application, anomaly alerts, per-model cost tracking, and SLAs for downstream consumers.

• Pair with AI engineers on data sourcing decisions: which governed asset to draw from, which CDE definitions to honor, how to handle records that fall outside AI-ready criteria, and when to require a human-in-the-loop checkpoint.

• Triage AI quality incidents jointly. Trace stale, wrong, or duplicated outputs through the gateway, RAG pipeline, and source records, and route fixes to the team best positioned to resolve them.
• 8+ years of related experience, with 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: scoping with stakeholders, partnering with data and engineering teams, working through ambiguity, and measuring impact post-launch.

• Working knowledge of LLM application patterns: prompt engineering, retrieval-augmented generation (RAG), embeddings, and agent frameworks. Familiarity with the common failure modes (hallucination, prompt injection, data leakage, training-data contamination).

• Solid grounding in data governance principles and frameworks (DAMA-DMBOK, DCAM, or comparable). Hands-on history with data quality standards, CDE frameworks, source-of-truth designations, or metadata/catalog programs.

• Familiarity with API governance platforms (the policy enforcement layer that sits in front of API traffic and applies authentication, rate limits, content filtering, and audit logging). Comfortable owning gateway strategy as a product and partnering with engineering on implementation.

• SQL fluency sufficient to profile data quality directly against warehouse tables (Snowflake or comparable).

• Working familiarity with GDPR, CCPA, and emerging AI regulation (EU AI Act, NIST AI RMF) at the level needed to apply them; legal-grade depth isn’t required.

• Strong written communication. The role authors policies, playbooks, and decision memos that cross functional lines.

The successful candidate’s starting salary will be determined based on permissible, non-discriminatory factors such as skills, experience, and geographic location within the state.