Director, Big Data & Analytics – Digital Automotive

Role Overview

• 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
• Collaborate with internal stakeholders, technology partners, and ecosystem vendors

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.

Tech Stack

• Cloud

Benefits

• Health insurance
• 401(k) matching
• Flexible work hours
• Paid time off
• Professional development opportunities