Back
Login to See Your Match Score
Create a free account or log in to unlock your CV match score across:
Strong brand, metro location, and broad cross-disciplinary skillset increase applicant competition.
Highly specialized automotive data/ML product leadership increases domain specificity and reduces cross-industry fit.
Explicit 12–18+ years, leadership requirement and extensive mandatory tech stack make shortlisting highly strict.
Lead the development and lifecycle management of enterprise-scale data products focused on Automated Driving, Fleet Learning, Vehicle Intelligence, and AI-driven decision-making.
Drive design and operation of cloud-native data platforms handling petabyte-scale automotive sensor and vehicle data ensuring scalability, reliability, and compliance.
Act as primary interface among business stakeholders, engineering teams, and executives to align product vision and deliver business value globally.
12–18+ years in Data Science, Data Engineering, Software Engineering, or AI-related domains.
5+ years of experience leading cross-functional teams, including Product Management and Engineering.
Bachelor's or Master's degree in Computer Science, Data Science, Engineering, Mathematics, Statistics, or related field.
Experience managing large-scale technology products and working in global matrix organizations.
Strong technical expertise in AI/ML including Deep Learning, Generative AI, MLOps, and predictive analytics complemented by business and product management acumen.
Experience with big data platforms and tools such as Apache Spark, Kafka, Databricks, Delta Lake, Snowflake, and cloud infrastructure (AWS/Azure/GCP).
Proven success navigating and influencing multiple stakeholders across engineering, product, operations, and leadership in global organizations.