Senior Director, Data Science

Coupa Software

Director of AI Data Science leading development and governance of AI systems across Coupa’s platform. Collaborating with Engineering, Product, and Platform teams for model excellence.

Posted 6/2/2026full-timeFoster City • California • 🇺🇸 United StatesSenior💰 $222,000 - $310,000 per yearWebsite

Tech Stack

Tools & technologies

PythonPyTorchTensorflow

About the role

Key responsibilities & impact

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.

Requirements

What you’ll need

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).

Benefits

Comp & perks

Health insurance
Retirement plans
Paid time off
Flexible work arrangements
Professional development

ATS Keywords

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Hard Skills & Tools

machine learningdeep learningstatistical modelingMLOpsdata strategydataset creationlabelinggovernanceevaluation methodologiesprogramming in Python

Soft Skills

leadershipcommunicationstakeholder managementmentoringinfluencing

Certifications

Bachelor’s degree in Computer ScienceMaster’s degree in Data SciencePhD in related field