Technical Lead - Data & AI Products

Technical Lead – Data & AI Products

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, and Product Management within our automotive software and data ecosystem. 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.

Key Responsibilities

• 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.
• 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.
• Lead design and implementation of cloud-native data platforms handling petabyte-scale sensor 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.
• 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.
• Lead multidisciplinary teams across Data Science, Data Engineering, Product Management, and Program Management.

Required Qualifications

• Bachelor's or Master's degree in Computer Science, Data Science, Engineering, Mathematics, Statistics, or a related field.
• MBA or Product Management certification is advantageous.
• 12–18+ years of experience in Data Science, Data Engineering, Software Engineering, or AI-related domains.
• 5+ years of experience leading cross-functional teams.
• Experience managing large-scale technology products.
• Experience working in global organizations and matrix structures.

Technical Skills

• Machine Learning, Deep Learning, Generative AI, Statistical Modeling, Predictive Analytics, and MLOps.
• Apache Spark, Kafka, Databricks, Delta Lake, Airflow, Snowflake, and Lakehouse Architectures.
• AWS, Azure, GCP, Kubernetes, Docker, Infrastructure as Code, and CI/CD.
• Agile Product Development, Customer Journey Mapping, and Business Case Development.

Preferred Automotive Experience

Experience in Automated Driving, ADAS, Fleet Learning, Vehicle Telemetry, Sensor Data Processing, Data Mining, Data Curation, Scenario Discovery, Vehicle Validation, Software Defined Vehicles, or Automotive AI Platforms.

Contact

Jacob Cyril
E-Mail: jacob.cyril@mercedes-benz.com