# Senior Director, Data

**Company:** [Navan](https://hotfix.jobs/companies/navan)
**Location:** San Francisco, CA
**Role:** Executive Leadership
**Salary:** $194k – $432k/yr
**Experience:** 10+ years
**Skills:** Python, SQL, ETL, Cloud Data Warehouses, PyTorch, TensorFlow, scikit-learn, Data Pipelines, Streaming Data, MLOps, Feature Stores, Data Lakes, Data Warehouses, Predictive Analytics, A/B Testing
**Posted:** 2026-08-21

> Leads enterprise data strategy and organization-wide AI readiness while overseeing data engineering, analytics, data science, infrastructure, governance, and predictive analytics. Requires 10+ years of progressive leadership experience and advanced quantitative education.

## Job Description

## Responsibilities
- Define and execute enterprise data, AI data readiness, and analytics strategy aligned with business objectives.
- Champion data literacy and self-service analytics across departments.
- Build, mentor, and lead teams of data engineers, data scientists, and analysts.
- Drive AI data strategy, including data curation, labeling, and optimization for ML/AI development and deployment.
- Oversee the end-to-end lifecycle of machine learning models, predictive analytics, and feature store infrastructure.
- Identify high-impact AI/ML opportunities with business partners.
- Oversee data architecture and reliable batch and real-time ETL/ELT pipelines.
- Architect scalable data warehouses, data lakes, and MLOps operations.
- Establish data governance policies for quality, security, and regulatory compliance.
- Deliver executive dashboards, visualizations, and A/B testing frameworks for operational KPIs.

## Requirements
- 10+ years of progressive leadership experience across data engineering, analytics, and data science.
- Proven experience managing data engineering and ML teams and fostering a data-driven culture.
- Strong hands-on knowledge of Python, SQL, modern ETL tools, cloud data warehouses, and major ML frameworks.
- Deep expertise in pipeline design, streaming data architectures, MLOps, and feature store management.
- Excellent ability to translate complex technical concepts into strategic insights for non-technical stakeholders.
- Master's or Ph.D. in Data Science, Computer Science, Statistics, or a related quantitative field.

## Compensation
- Pay range: **$194,400–$432,000 USD**.
- Starting pay considers work location, skills and experience, market demands, and internal parity.
- For roles with on-target earnings, the range may include base salary and target incentive compensation.

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