Director, Big Data Analytics, Digital Automotive

Description & Requirements About the RoleWe 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. What You Will DoDefine and own the Data & Analytics vision and roadmap for the Automotive division, aligned with enterprise digital and AI strategyAct as a transformation leader, driving a shift from centralized data platforms to domain-driven, product-oriented data capabilitiesPartner with executive leadership to shape long-term AI, analytics, and data monetization strategiesChampion a data-as-a-product mindset across business and technology teamsLead the design and rollout of a Data Mesh architecture, enabling domain-owned data products with federated governanceEstablish standards and best practices for data product ownership, including lifecycle management, SLAs, quality, security, and value measurementEnable interoperability, discoverability, and trust across data products through shared platforms and enablement servicesBalance innovation with scalability, reliability, and cost efficiency across cloud and big data ecosystemsProvide strategic oversight of big data platforms and engineering capabilities supporting batch, streaming, and real-time analyticsEnsure scalable, secure, and resilient data pipelines across cloud and hybrid environmentsGuide platform evolution to support AI/ML workloads, feature stores, and analytics at scaleAlign data architecture with modern cloud-native and event-driven design principlesAccelerate the AI and Advanced Analytics roadmap by enabling high-quality, reusable, and trusted data productsCollaborate with AI/ML, software, and product teams to operationalize analytics and models into productionDrive analytics maturity across descriptive, diagnostic, predictive, and prescriptive use casesEnable AI-driven decision-making across Automotive domains, including connected vehicles, software-defined vehicles, manufacturing, quality, supply chain, and customer experienceOwn and drive tactical analytics execution within the Automotive divisionPrioritize and deliver high-impact analytics initiatives tied to business KPIs and operational outcomesProvide hands-on leadership and direction to analytics teams delivering insights, dashboards, and advanced modelsEnsure analytics outputs translate into actionable decisions and measurable valueDefine and implement federated data governance, including data quality, security, privacy, and complianceEstablish a clear data operating model between central platforms and domain teamsEnsure compliance with internal policies, regulatory requirements, and industry standardsEnable responsible AI and ethical data usage practicesBuild, lead, and mentor high-performing teams across data engineering, analytics, and data product managementFoster a strong culture of data-driven decision-making and ownershipDevelop talent strategies to scale data, analytics, and AI capabilities globallyCollaborate with internal stakeholders, technology partners, and ecosystem vendorsWhat You NeedBachelor's or Master's degree in Computer Science, Data Science, Engineering, or a related field15+ years of experience in data, analytics, and big data platforms, with significant senior leadership responsibilityProven experience leading enterprise-scale data and analytics transformation initiativesStrong expertise in data products, data mesh concepts, and modern data architecturesHands-on understanding of cloud-based big data platforms, streaming technologies, and analytics ecosystemsDemonstrated experience accelerating AI/ML-enabled analytics at scaleStrong executive communication, stakeholder influence, and change leadership skills Nice to HaveExperience in Automotive, Mobility, or Industrial domainsExposure to connected vehicles, software-defined vehicles, IoT, or manufacturing analyticsBackground in data product management or product-led operating modelsExperience working in large, global, matrixed organizations What Makes You EligibleWillingness to travel up to 5%, domestic and internationalAbility to work in an office or home office located in Novi, MI (hybrid)Successful completion of background investigation and other employment requirements#Hybrid Pay Transparency $ 161,250 - $ 236,500 Dependent on the position offered, other forms of compensation are also available, such as bonuses or commission. Pay is based on a wide range of factors, including, without limitation, skill set, experience, training, location, and business need. While the above range is a reasonable estimate of the wage range for this position, please note the disclosed range estimate has not been adjusted for the applicable geographical differential associated with the location where the position may be filled. BenefitsHARMAN is interested in the health and wellbeing of you and your family and offers a range of benefits designed to support your needs for holistic wellbeing. Benefits and... For full info follow application link. HARMAN is an Equal Opportunity /Affirmative Action employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or Protected Veterans status.