Executive Director, Big Data & Analytics, Digital Automotive

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Harman · Garching - Bavaria, Germany - Parking 1-5 Business Campus

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About the role

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.

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

Collaborate with internal stakeholders, technology partners, and ecosystem vendors

What You Need

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-en

Executive Director, Big Data & Analytics, Digital Automotive

About the role

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Company Intel

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