Senior Director of Data

• 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
• 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

Benefits

• Parental leave
• Commuter benefits
• Healthcare
• Flexible Vacation
• Health and Wellness
• Fuel for Connection
• Pet Friendly
• IATAN (travel-related discounts)
• 401k (retirement plan)
• Connectivity Allowance
• Learning & Development- Communication: Excellent capability to translate complex technical concepts into clear strategic insights for non-technical stakeholders
• Architecture & Pipelines: Deep expertise in pipeline design, streaming data architectures, MLOps, and feature store management
• 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)
• Experience: 10+ years of progressive leadership experience across data engineering, analytics, and data science
• Education: Master’s or Ph.D. in Data Science, Computer Science, Statistics, or related quantitative field
• Leadership: Proven track record of managing data engineering and ML teams while fostering a data-driven organizational culture