[Skip to main content](#main-content) [OpenNash Jobs](https://jobs.opennash.com/) [Hiring report](/reports/hiring/) · [All Mercedes-Benz Group jobs](https://jobs.opennash.com/companies/mercedes-benz-group/) · [Search jobs](/search/) Mercedes-Benz Group # Technical Lead Data And Ai Products 238303 Mer00044Uk Manager or lead Data & Analytics Listed on Mercedes-Benz Group’s official careers site. Listed as of October 20, 2026. Check that it is still open and apply there. [Apply on Mercedes-Benz Group’s careers site →](https://jobs.mercedes-benz.com/en/technical-lead-data-and-ai-products-238303-mer00044uk) [OpenNash Jobs](https://jobs.opennash.com/) / [Mercedes-Benz Group](https://jobs.opennash.com/companies/mercedes-benz-group/) / Technical Lead Data And Ai Products 238303 Mer00044Uk ## Job description Tasks Technical Lead – Data & AI Products (Automated Driving, Data Mining & Customer Platforms) Location India / Global Capability Center (GCC) Function Data, AI & Digital Engineering Reports To Senior Manager of Data & AI Platforms ### Role Overview We are seeking a highly motivated and experienced Technical Lead to drive the intersection of Data Science, Data Engineering, & Product Management, within our automotive software and data ecosystem. This role requires a unique blend of technical excellence, product thinking, customer focus, and stakeholder management. The successful candidate will lead the development of next-generation data products and platforms that enable Automated Driving, Fleet Learning, Vehicle Intelligence, Data Mining, and AI-driven decision-making. The ideal candidate combines deep technical expertise with strong business acumen and can effectively influence stakeholders across engineering, product, operations, and executive leadership teams. ### Key Responsibilities Product Ownership & Business Alignment - Own the vision, roadmap, and lifecycle of enterprise-scale data products. - Translate business requirements into scalable technical solutions. - Drive adoption and value realization across global stakeholders. ### Data Science & AI Leadership - Lead development of AI and Machine Learning solutions for large-scale automotive datasets. - Enable advanced analytics, predictive modeling, scenario mining, and intelligent data selection. - Establish best practices for model development, deployment, monitoring, and governance. Drive adoption of MLOps and GenAI capabilities to improve engineering efficiency and product outcomes. ### Data Engineering & Platform Leadership - Lead design and implementation of cloud-native data platforms handling petabyte-scale sensor and vehicle data. ### Job Description Page 1 and vehicle data. Drive architecture decisions for batch and streaming data pipelines. - Ensure platform scalability, reliability, observability, and security. - Champion data quality, metadata management, governance, and compliance. - Customer & Stakeholder Management Act as the primary interface between business stakeholders, engineering teams, and executive leadership. - Facilitate alignment across multiple organizations and geographical locations. - Build trusted partnerships with internal and external stakeholders. - Team Leadership & Organizational Development Lead multidisciplinary teams across Data Science, Data Engineering & Product Management, and Program Management. ### Required Qualifications - Education Bachelor's or Master's degree in Computer Science, Data Science, Engineering, Mathematics, Statistics, or related field. - MBA or Product Management certification is advantageous. ### Experience - 12–18+ years of experience in Data Science, Data Engineering, Software Engineering, or AI-related domains. - 5+ years of experience leading cross-functional teams. - Proven experience managing large-scale technology products - Experience working in global organizations and matrix structures. ### Technical Skills - Data Science Machine Learning - Deep Learning - Generative AI - Statistical Modeling - Predictive Analytics - MLOps - Data Engineering Apache Spark - Kafka - Databricks - Delta Lake - Airflow - Snowflake - Lakehouse Architectures - Cloud & Platform Engineering AWS / Azure / GCP - Kubernetes - Docker - Infrastructure as Code ### Job Description - Page 2 Infrastructure as Code - CI/CD - Product Management Agile Product Development - Customer Journey Mapping - Business Case Development - Preferred Automotive Experience Experience in one or more of the following domains: Automated Driving - ADAS - Fleet Learning - Vehicle Telemetry - Sensor Data Processing - Data Mining - Data Curation - Scenario Discovery - Vehicle Validation - Software Defined Vehicle (SDV) - Automotive AI Platforms - Leadership Competencies Systems Thinking - Customer Obsession - Executive Communication - Influencing Without Authority - Stakeholder Management - Success Metrics The successful candidate will be measured on: Business Impact Product adoption and customer value realization - Operational efficiency improvements - Strategic initiative delivery - Product Outcomes Roadmap execution - KPI achievement - User satisfaction - Technical Excellence Platform scalability and reliability - Data quality improvements - AI solution effectiveness Qualifications Technical Lead – Data & AI Products (Automated Driving, Data Mining & Customer Platforms) Location India / Global Capability Center (GCC) Function Data, AI & Digital Engineering Reports To Senior Manager of Data & AI Platforms ### Key Responsibilities Product Ownership & Business Alignment - Translate business requirements into scalable technical solutions. ### Job Description Page 1 and vehicle data. - Ensure platform scalability, reliability, observability, and security. ### Required Qualifications - MBA or Product Management certification is advantageous. ### Experience - Proven experience managing large-scale technology products ### Technical Skills - Data Science Machine Learning - Deep Learning - Generative AI - Statistical Modeling - Predictive Analytics - MLOps - Data Engineering Apache Spark - Kafka - Databricks - Delta Lake - Airflow - Snowflake - Lakehouse Architectures - Cloud & Platform Engineering AWS / Azure / GCP - Kubernetes - Docker - Infrastructure as Code ### Job Description - Page 2 Infrastructure as Code - CI/CD - Product Management Agile Product Development - Customer Journey Mapping - Business Case Development - ADAS - Fleet Learning - Vehicle Telemetry - Sensor Data Processing - Data Mining - Data Curation - Scenario Discovery - Vehicle Validation - Software Defined Vehicle (SDV) - Automotive AI Platforms - Leadership Competencies Systems Thinking - Customer Obsession - Executive Communication - Influencing Without Authority - Stakeholder Management - Operational efficiency improvements - Strategic initiative delivery - Product Outcomes Roadmap execution - KPI achievement - User satisfaction - Technical Excellence Platform scalability and reliability - Data quality improvements - AI solution effectiveness ## At a glance - Posted by the employer: Not stated - First seen by OpenNash: Oct 13, 2026 - Last checked: Oct 20, 2026 - Listed for: 7 days[Apply on Mercedes-Benz Group’s careers site →](https://jobs.mercedes-benz.com/en/technical-lead-data-and-ai-products-238303-mer00044uk) ## More jobs at Mercedes-Benz Group ### [Adas Data And Analytics Engineer 225843 Mer00043P2](https://jobs.opennash.com/companies/mercedes-benz-group/jobs/3fc6b5c8596c8410a48f/) ### [Ai Data Analytics 233238 Bei00000Us](https://jobs.opennash.com/companies/mercedes-benz-group/jobs/3c06b760aeb85a986c32/) ### [Data Engineer 221801 Mer0003Zcu](https://jobs.opennash.com/companies/mercedes-benz-group/jobs/34a97091f2f9604e7c48/) ### [Data Scientist 226081 Mer00044Yx](https://jobs.opennash.com/companies/mercedes-benz-group/jobs/18fd20077994dd86422e/) ### [Data Scientist 241655 Mer00048Ja](https://jobs.opennash.com/companies/mercedes-benz-group/jobs/612ace0e2e06b2897b50/) ## Similar jobs at other companies ### [Technical Support Specialist (Electrical Products)](https://jobs.opennash.com/companies/siemens/jobs/2026beaebdbb9538cb7b/) Siemens ### [Head of Data & AI, Electrical Products](https://jobs.opennash.com/companies/siemens/jobs/d1b17943258663539d9f/) Siemens ### [Senior Manager Data Center Technical Deployment Ashburn Virginia United States Culpeper Secaucus New Jersey](https://jobs.opennash.com/companies/equinix/jobs/98815d6ab324eaccdceb/) Equinix ### [Director Data Products Platform Innovation Adoption](https://jobs.opennash.com/companies/novartis/jobs/b7d2a243caccc5197a98/) Novartis ### [Working Student – Data Analytics for Technical Risk](https://jobs.opennash.com/companies/siemens-energy/jobs/5985d0c15313139cf428/) Siemens Energy OpenNash lists jobs from employers’ own careers sites and does not handle applications. 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