Job ID

- 65412
- Category
- Enterprise Technology
- Location
- Chennai, India
- Work Type
- Hybrid

GDI&A; - Data Science, Machine Learning and AI

Product Manager

Global Data Insights and Analytics ( GDI&A; ) navigates Ford Motor Company through the disruptions of the information age, unleashing the power of Data, Advanced Analytics, and AI to drive value and help transform Ford Motor Company through proactive, actionable, evidence-based decision making. GDI&A; delivers data-driven platforms, advanced analytics, and AI/ML solutions to support Ford’s Industrial System, Sales, Service, Marketing, Strategy, Finance, and Ford Credit.

Key Responsibilities : Technical Leadership : Provide expert technical guidance and domain mentorship to data scientists, data engineers & software engineers in the product team, actively contribute to design discussions, algorithm selection, architecting scalable data science solutions (including pipelines, model training infrastructure, and deployment strategies), evaluating and selecting appropriate technologies, and maintain coding standards and best practices. Leverage ML Ops principles to ensure model accuracy, stability, and regulatory compliance through robust risk assessment and independent validation processes where required. Team Leadership & Mentorship : Lead, mentor, and develop a high-performing team, comprising of highly skilled data scientists, software engineers, and ML engineers, fostering best practices in software development and data science. Provide thought leadership and oversight on best practices, code reviews, and technical design. Collaborate closely with data engineers to seamlessly integrate data pipelines and infrastructure while ensuring data quality, consistency, and accuracy. Innovation :



Contribute to the development and implementation of the team's innovation strategy, focusing on identifying opportunities for recent product development, process improvement, and leveraging emerging technologies within AI/ML, advanced analytics, and software craftmanship. This includes staying informed about the latest research, exploring novel algorithms, evaluating new tools and techniques, and prioritizing user-centered design principles in all aspects of data science product development. Domain Expertise : Lead engagement with internal business partners, understand the business domain (e.g., product development, marketing, manufacturing, after-sales service, credit) for which data science products are being developed, converse in the language of business partners, efficiently translate business requirements into data & analytical problem formulations. Experience in Product development domain adds a distinct advantage. Communication : Clearly and concisely communicate technical information to both technical and non-technical audiences. Effectively communicate compelling data-driven recommendations to senior management and foster strong relationships with key business partners.- Cross-functional Collaboration : Work effectively with various teams and stakeholders to achieve business objectives.

Qualifications : Required :

- Master’s degree in engineering, Data Science, Computer Science, Statistics, Industrial Engineering, or a related field, Or,



Bachelor's degree with 10+ years of experience in automotive industry and experience in Data Science/AI
- 5+ years of leading a team of cross-functional technical experts.
- Proficiency in Python, along with experience with ML frameworks (e.g., TensorFlow, PyTorch, Scikit-Learn, XGBoost).
- Experience with cloud-based platforms (e.g., GCP) and data related technologies (e.g., SQL, Spark, Hive).
- Experience with various software development methodologies (Agile, DevOps), CI/CD pipelines, and testing frameworks. Proficiency in one of AngularJS, ReactJS, or any other front-end technologies.
- Strong technical & people leadership, communication, and collaboration skills.
- Understanding of business principles and critical thinking skills to translate business needs into impactful data science solutions.

Preferred :

- Experience with NLP, deep learning, neural network architectures, computer vision, reliability, survival analysis and anomaly detection techniques.
- Familiarity with computationally intensive statistical methods, Jira, system architecture principles.
- Google certifications on developing and deploying AI/ML models on GCP.

Key Responsibilities : Technical Leadership :Provide expert technical guidance and domain mentorship to data scientists, data engineers & software engineers in the product team, actively contribute to design discussions, algorithm selection, architecting scalable data science solutions (including pipelines, model training infrastructure, and deployment strategies), evaluating and selecting appropriate technologies, and maintain coding standards and best practices.Leverage ML Ops principles to ensure model accuracy, stability, and regulatory complianc

📌 Data Science / Ai Manager (Chennai)
🏢 Ford Motor
📍 Chennai