Senior Director, Data
TripActions · San Francisco, CA
About this role
## Position Overview As our **Senior Director of Data**, you will serve as the strategic visionary and executive engine powering our company’s data transformation. In this high-impact leadership role, you will redefine how we leverage information by driving enterprise data strategy, pioneering AI data readiness, commanding end-to-end pipeline engineering, and unlocking competitive advantages through cutting-edge predictive analytics. You will champion, build, and inspire a world-class team across data engineering, analytics, and data science—scaling modern infrastructure, deploying production-grade ML models, and relentlessly embedding a fearless, evidence-based, data-driven culture across every level of the organization. ## Key Responsibilities ### 1) Strategy & Organizational Data Leadership - 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. ### 2) AI Readiness & Data Science Leadership - 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. ### 3) Pipeline Engineering & Infrastructure - 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). ### 4) Governance, Analytics & Reporting - 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. ## Qualifications - **Experience:** 10+ years of progressive leadership experience across data engineering, analytics, and data science. - **Leadership:** Proven track record of managing data engineering and ML teams while fostering a data-driven organizational culture. - **Technical Mastery:** Strong hands-on knowledge of Python, SQL, modern ETL tools, cloud data warehouses, and major ML frameworks (e.g., PyTorch, TensorFlow, scikit-learn). - **Architecture & Pipelines:** Deep expertise in pipeline design, streaming data architectures, MLOps, and feature store management. - **Education:** Master’s or Ph.D. in Data Science, Computer Science, Statistics, or related quantitative field. - **Communication:** Excellent capability to translate complex technical concepts into clear strategic insights for non-technical stakeholders. ## Pay Range **$194,400 — $432,000 USD** *Note: The posted pay range represents the anticipated low and high end of the compensation for this position and is subject to change based on business need.* ## AI-Assisted Hiring Notice Navan uses an AI-assisted Automated Employment Decision Tool (Metaview) to assist with evaluating resumes against job qualifications. **All final decisions are made by human recruiters and hiring managers.** If you prefer to have your application reviewed without AI assistance, you may request a human evaluation by entering your email [here](https://my.metaview.
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