Executive Director, Big Data & Analytics, Digital Automotive

HARMAN’s engineers and designers are creative, purposeful and agile. As part of this team, you’ll combine your technical expertise with innovative ideas to help drive cutting-edge solutions in the car, enterprise and connected ecosystem. Every day, you will push the boundaries of creative design, and HARMAN is committed to providing you with the opportunities, innovative technologies and resources to build a successful career.

As a technology leader that is rapidly on the move, HARMAN is filled with people who are focused on making life better. Innovation, inclusivity and teamwork are a part of our DNA. When you add that to the challenges we take on and solve together, you’ll discover that at HARMAN you can grow, make a difference and be proud of the work you do everyday.

We are seeking a visionary and transformational Director – Data Products, Big Data & Analytics to lead the data, analytics, and AI enablement strategy for the Automotive division. This role is a senior leadership and transformation mandate, responsible for defining and executing a data products–driven, data mesh–oriented architecture that accelerates the company’s AI and Advanced Analytics roadmap. The role combines strategic leadership with tactical analytics ownership, ensuring measurable business outcomes across Automotive domains.

The leader will reshape how data is owned, governed, built, and consumed, enabling domain teams to innovate independently while operating on a trusted, scalable, and secure data foundation.

• 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…