Executive Director, Big Data & Analytics

Responsibilities Define and own the Data & Analytics vision and roadmap for the Automotive division, aligned with enterprise digital and AI strategy Act as a transformation leader, driving a shift from centralized data platforms to domain-driven, product-oriented data capabilities Partner with executive leadership to shape long-term AI, analytics, and data monetization strategies Champion a data-as-a-product mindset across business and technology teams Lead the design and rollout of a Data Mesh architecture, enabling domain-owned data products with federated governance Establish standards and best practices for data product ownership, including lifecycle management, SLAs, quality, security, and value measurement Enable interoperability, discoverability, and trust across data products through shared platforms and enablement services Balance innovation with scalability, reliability, and cost efficiency across cloud and big data ecosystems Provide strategic oversight of big data platforms and engineering capabilities supporting batch, streaming, and real-time analytics Ensure scalable, secure, and resilient data pipelines across cloud and hybrid environments Guide platform evolution to support AI/ML workloads, feature stores, and analytics at scale Align data architecture with modern cloud-native and event-driven design principles Accelerate the AI and Advanced Analytics roadmap by enabling high-quality, reusable, and trusted data products Collaborate with AI/ML, software, and product teams to operationalize analytics and models into production Drive analytics maturity across descriptive, diagnostic, predictive, and prescriptive use cases Enable AI-driven decision-making across Automotive domains, including connected vehicles, software-defined vehicles, manufacturing, quality, supply chain, and customer experience Own and drive tactical analytics execution within the Automotive division Prioritize and deliver high-impact analytics initiatives tied to business KPIs and operational outcomes Provide hands-on leadership and direction to analytics teams delivering insights, dashboards, and advanced models Ensure analytics outputs translate into actionable decisions and measurable value Define and implement federated data governance, including data quality, security, privacy, and compliance Establish a clear data operating model between central platforms and domain teams Ensure compliance with internal policies, regulatory requirements, and industry standards Enable responsible AI and ethical data usage practices Build, lead, and mentor high-performing teams across data engineering, analytics, and data product management Foster a strong culture of data-driven decision-making and ownership Develop talent strategies to scale data, analytics, and AI capabilities globally Requirements Bachelor’s or Master’s degree in Computer Science, Data Science, Engineering, or a related field 15+ years of experience in data, analytics, and big data platforms, with significant senior leadership responsibility Proven experience leading enterprise-scale data and analytics transformation initiatives Strong expertise in data products, data mesh concepts, and modern data architectures Hands-on understanding of cloud-based big data platforms, streaming technologies, and analytics ecosystems Demonstrated experience accelerating AI/ML-enabled analytics at scale Strong executive communication, stakeholder influence, and change leadership skills Certifications & Qualifications Bachelor’s degree in Computer Science Master’s degree in Data Science Master’s degree in Engineering #J-18808-Ljbffr