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About the Role
As Senior Director of Data, you will be the strategic visionary and executive engine for the company’s data transformation. You will redefine how the company leverages information by driving enterprise data strategy, pioneering AI data readiness, commanding end-to-end pipeline engineering, and unlocking competitive advantages through predictive analytics. You will build and inspire a world-class team, scale modern infrastructure, deploy ML models, and embed a data-driven culture.
Responsibilities
- Define and execute the enterprise data, AI data readiness, and analytics strategy aligned with business objectives.
- Champion a data-driven culture across departments by elevating data literacy and self-service analytics.
- Build, mentor, and lead high-performing teams of data engineers, data scientists, and analysts.
- Drive the AI data strategy, ensuring data is curated, labeled, and optimized for ML/AI model development and deployment.
- Oversee the end-to-end lifecycle of machine learning models, predictive analytics, and feature store infrastructure.
- Collaborate with business partners to identify high-impact AI/ML opportunities that drive strategic value.
- Oversee modern data engineering, architectural design, and reliable ETL/ELT pipelines for batch and real-time processing.
- Architect scalable data warehouses, data lakes, and modern data stack operations (MLOps).
- Establish governance policies to ensure high data quality, security, and global regulatory compliance (e.g., GDPR, CCPA).
- Deliver key executive dashboards, visualizations, and A/B testing frameworks to measure operational KPIs.
Requirements
- 10+ years of progressive leadership experience across data engineering, analytics, and data science.
- Proven track record of managing data engineering and ML teams while fostering a data-driven organizational culture.
- Strong hands-on knowledge of Python, SQL, modern ETL tools, cloud data warehouses, and major ML frameworks (e.g., PyTorch, TensorFlow, scikit-learn).
- Deep expertise in pipeline design, streaming data architectures, MLOps, and feature store management.
- Excellent capability to translate complex technical concepts into clear strategic insights for non-technical stakeholders.
Skills
- Python
- SQL
- ETL tools
- Cloud data warehouses
- ML frameworks
- PyTorch
- TensorFlow
- scikit-learn
- Pipeline design
- Streaming data architectures
- MLOps
- Feature store management
- Data engineering
- Analytics
- Data science
- Predictive analytics
- AI/ML
Experience Level
- Senior Director
- 10+ years
Education Level
- Master's or Ph.D. in Data Science, Computer Science, Statistics, or related quantitative field.
Salary/Compensations
- $194,400—$432,000 USD
About the Company
- Navan uses AI-assisted Automated Employment Decision Tool (Metaview) to assist with evaluating resumes against job qualifications for this role.
- All final decisions are made by human recruiters and hiring managers.
- Metaview does not automatically reject candidates or make final hiring decisions.
- Our recruiters and hiring managers review all outputs and make the final hiring decision regarding every application.
- If you prefer to have your application reviewed without AI assistance, you may request a human evaluation by entering your email here.
- Your decision to do so will not affect how your candidacy is evaluated.
- Please refer to our Candidate Privacy Notice for more information about our processing of personal data, and your rights.