Sr. Director, Data Science - 11572

· Remote

Location

Remote

Type

Full Time

Job Description

CoupaJobs
Sr. Director Data Science - 11572

Sr. Director Data Science - 11572

Posted An Hour Ago
Be an Early Applicant
Foster City CA USA
Hybrid
222K-310K Annually
Senior level
Artificial Intelligence • Fintech • Information Technology • Logistics • Payments • Business Intelligence • Generative AI
Help Shape What's Next
The Role
Lead the development and governance of AI systems at Coupa driving excellence in model performance and MLOps while mentoring a team of data scientists and ML engineers.
Summary Generated by Built In
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 Sr. Director Data Science at Coupa: 


We are seeking a strategic and hands-on Director of AI Data Science to lead the development deployment and governance of advanced AI systems across Coupa’s platform. This role sits at the intersection of machine learning data strategy and product innovation.

You will define how AI models are built evaluated and scaled—driving excellence in model performance MLOps and data quality. A key part of your mandate will be establishing robust “golden datasets” advancing AI observability and ensuring our systems are accurate reliable and responsibly deployed.

This leader will partner closely with Engineering Product and Platform teams to embed AI into core business workflows while setting the standard for responsible and trustworthy AI.


What You’ll Do

  •  Lead the strategy design and delivery of AI/ML models (including Generative AI use cases) across multiple product domains.
  • Establish and scale MLOps practices to enable reliable reproducible and efficient model development and deployment.
  • Define and operationalize golden datasets including data curation labeling standards and evaluation frameworks.
  • Own model performance: define KPIs implement continuous evaluation and drive ongoing improvements in accuracy robustness and latency.
  • Build and advance AI observability monitoring and feedback loops to ensure model transparency and trust.
  • Partner cross-functionally with Engineering Product Data and Platform teams to integrate AI into production systems and user experiences.
  • Establish and enforce Responsible AI practices including fairness bias mitigation explainability and compliance.
  • Lead mentor and grow a high-performing global team of data scientists and ML engineers.
  • Influence executive stakeholders by translating complex AI concepts into clear business impact and strategy.

What You Will Bring to Coupa

  • 10+ years of experience in Data Science Machine Learning or AI with 3–5+ years in leadership roles managing high-performing teams.
  • Strong expertise in machine learning deep learning and statistical modeling with experience in production environments.
  • Proven track record of delivering scalable production-grade AI systems that drive measurable business impact.
  • Hands-on experience with modern MLOps ecosystems (e.g. SageMaker Vertex AI Databricks Kubeflow MLflow).
  • Deep experience with data strategy including dataset creation labeling governance and evaluation methodologies.
  • Familiarity with Generative AI / LLMs prompt engineering fine-tuning and evaluation techniques.
  • Strong programming skills in Python and experience with frameworks such as TensorFlow PyTorch or similar.
  • Excellent leadership communication and stakeholder management skills.
  • Bachelor’s or Master’s degree in Computer Science Data Science or a related field (PhD preferred).

The estimated pay range for this role is $222000 - $310000


The starting salary for the successful candidate will be based on permissible non-discriminatory factors such as skills experience and geographic location.


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.

Skills Required

  • 10+ years of experience in Data Science Machine Learning or AI
  • 3-5+ years in leadership roles managing high-performing teams
  • Strong expertise in machine learning deep learning and statistical modeling
  • Proven track record of delivering scalable production-grade AI systems
  • Hands-on experience with modern MLOps ecosystems
  • Deep experience with data strategy and governance
  • Strong programming skills in Python
  • Excellent leadership communication and stakeholder management skills
  • Bachelor's or Master's degree in Computer Science Data Science or a related field

What the Team is Saying

Aditya Maheshwari
Alex Moon
Jose Miguel Jimenez
Jessica Fonseca
Daniela Aristizábal

Coupa Compensation & Benefits Highlights

  • Healthcare StrengthHealth coverage is described as comprehensive spanning medical dental vision and mental‑health resources from day one. Plan breadth and wellness support are consistently emphasized.
  • Leave & Time Off BreadthTime off includes flexible or unlimited PTO paid parental leave floating holidays and dedicated volunteer time. Remote‑friendly practices are noted to support taking time away.
  • Parental & Family SupportFamily‑building and caregiving supports include fertility benefits generous parental leave and resources for adoption and elder care. Return‑to‑work assistance and an onsite Mother’s Room are highlighted.

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The Company
2500 Employees
Year Founded: 2006

What We Do

Coupa is a global technology company that helps businesses run smarter by connecting all the ways they spend money — from procurement and expenses to payments and supply chain decisions — in one intelligent platform. In simple terms Coupa gives organizations the visibility and control they need to make better financial choices reduce waste and drive real impact. It’s where technology meets purpose: helping companies manage their resources more responsibly while creating a positive ripple across their people partners and the planet.

Why Work With Us

At Coupa we prioritize an inclusive and empathetic workplace where every voice is valued. Our teams are proactive and accountable ensuring we collaborate effectively to achieve our goals. The foundation of our culture rests on our people; we believe in fostering an environment that encourages innovation and curiosity.

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Employees work remotely.

Our virtual-first approach is intentional. It gives you the freedom to do your best work in a space that supports focus balance and creativity while staying connected to a global team of changemakers who are redefining the future of business spend

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Date Posted

06/02/2026

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