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.
A Career at HARMAN
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.
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.
What You Will Do
Define 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 Need
Bachelor’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 skillsNice to Have
Experience 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 organizationsWhat Makes You Eligible
Willingness to travel up to 5%, domestic and internationalAbility to work in an office#LI-Hybrid
HARMAN is proud to be an Equal Opportunity / Affirmative Action employer. All qualified applicants will receive consideration for employment without regard torace, religion, color, national origin, gender including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics.
