C
Coupa
Senior Data Science Director
Skills
Deep LearningPythonData SciencePyTorchTensorFlowDatabricksMachine LearningAICompliance
2 months ago
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Important information
Contract type:
Permanent
Salary:
$222,000 – $310,000 / year
Location:
Foster City, CA, USA
Work mode:
Onsite
Published on:
23 August 2026
What they need
- 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
- 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- Strong expertise in machine learning, deep learning, and statistical modeling, with experience in production environments
- 10+ years of experience in Data Science, Machine Learning, or AI, with 3–5+ years in leadership roles managing high-performing teams
- Deep experience with data strategy, including dataset creation, labeling, governance, and evaluation methodologies
- Proven track record of delivering scalable, production-grade AI systems that drive measurable business impact
- Bachelor’s or Master’s degree in Computer Science, Data Science, or a related field (PhD preferred)
- 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
- Hands-on experience with modern MLOps ecosystems (e.g., SageMaker, Vertex AI, Databricks, Kubeflow, MLflow)
- Excellent leadership, communication, and stakeholder management skills
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