Technical Lead - Data & AI Products

Daimler AG; Bengaluru; On-site; INR 4,000,000 - 5,500,000; Full time

Job summary

Daimler AG sucht eine/n Technical Lead – Data & AI Products in Indien/GCC, um die Schnittstelle zwischen Data Science, Data Engineering und Produktmanagement zu führen. Sie entwickeln datengetriebene Produkte für Automotive-Plattformen und arbeiten eng mit Stakeholdern weltweit zusammen.

Sie prägen Architektur, Governance und MLOps, leiten Teams und setzen cloudbasierte Data-Platform-Initiativen um. Erforderlich sind tiefgreifende Kenntnisse in ML, Data Engineering, Big Data und agile

Qualifications

• Abgeschlossenes Studium in Informatik/DS/Engineering oder vergleichbar.
• Fundierte Kenntnisse in Data Science, ML, Data Engineering.
• Erfahrung mit MLOps, GenAI und großen Datensätzen.

Responsibilities

• Produktbesitz und Geschäftsabstimmung für enterpriseskalige Data-Produkte.
• Führung von AI/ML-Lösungen für große Automotive-Datensätze.
• Gestaltung von Cloud-native Data Platforms und Pipelines.
• Zusammenarbeit mit Stakeholdern weltweit und Führung von Teams.

Skills

Data Science

Machine Learning

Deep Learning

Generative AI

Statistical Modeling

Predictive Analytics

MLOps

Data Engineering

Cloud Platforms

Kafka

Spark

Databricks

Airflow

Education

Bachelor's or Master's in CS/DS/Engineering

Tools

Apache Spark

Kafka

Databricks

Delta Lake

Airflow

Snowflake

Kubernetes

Docker

Cloud (AWS/Azure/GCP)

Job description

Aufgaben

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

Qualifikationen

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