Sr. Director, Data Science - 11572

Ovii's Interpretation of the Role

Senior Director leading AI/ML strategy, model delivery, and MLOps at Coupa. Owns model performance, responsible AI, and cross‑functional integration while mentoring a global data science team.

Role Snapshot

• Lead AI/ML strategy across product domains
• Scale MLOps practices for production models
• Own model performance and monitoring
• Mentor and grow a global data science team
• Drive responsible AI and fairness initiatives
• Partner with engineering, product, and platform groups

Must-Have Requirements

• Machine learning, deep learning, statistical modeling
• Python programming
• MLOps platforms (SageMaker, Vertex AI, Databricks, Kubeflow, MLflow)
• Data strategy, curation, labeling, governance
• Leadership of high‑performing data science/ML teams
• Data Science
• Machine Learning
• AI
• Leadership of data science teams
• Bachelor’s degree in Computer Science, Data Science, or related field

Nice-to-Have Signals

• Generative AI / LLMs, prompt engineering, fine‑tuning
• PhD (preferred)
• Responsible AI practices (fairness, bias mitigation, explainability, compliance)
• Generative AI
• PhD
• Master’s degree

Work Setup

• Location: Foster City, United States
• Work mode: HYBRID
• Remote scope: UNSPECIFIED
• Employment type: Director

Not Specified in JD

• Visa sponsorship
• Salary range
• Remote eligibility
• Education requirement details
• Certifications
• Relocation
• Travel
• Security clearance
• Coding test

What You'll Likely Work On

• Define and deliver AI/ML models, including generative AI use cases, for multiple product lines
• Establish and scale MLOps pipelines to ensure reliable, reproducible model deployment
• Create and maintain golden datasets, labeling standards, and evaluation frameworks
• Own model KPIs, continuous evaluation, and ongoing improvements in accuracy, robustness, and latency
• Build AI observability, monitoring, and feedback loops to promote transparency and trust
• Collaborate with Engineering, Product, Data, and Platform teams to embed AI into production systems
• Implement Responsible AI practices—fairness, bias mitigation, explainability, and compliance
• Lead, mentor, and expand a high‑performing global team of data scientists and ML engineers

Good Fit If You Have

• Experience with generative AI / LLMs and prompt engineering
• PhD in Computer Science, Data Science, or related field (preferred)
• Familiarity with Responsible AI frameworks and compliance
• Background delivering scalable AI systems in enterprise SaaS environments