ResponsibilitiesThis role demands strong technical expertise, hands-on experience with cutting-edge analytical tools (including AI/ML), strong understanding of software craftmanship / software development cycle, and the ability to translate business needs into actionable solutions. Successful candidates will provide technical and thought leadership in advanced analytics, AI/ML, and people management.The ideal candidate possesses a strong theoretical foundation in statistical analysis, machine learning, simulation, econometrics, optimization, data platforms, and artificial intelligence and product development. Given the dynamic nature of data analytics and AI, a commitment to continuous learning and upskilling and being hands-on is essential. This role requires a blend of technical expertise, hands-on experience, strategic thinking, and strong leadership skills.As a Data Science Manager, you willlead a multi-disciplinary team of data scientists, machine learning engineers, product designers, data engineers,



and software engineers through the entire lifecycle of complex analytical and AI/ML projects.provide technical leadership and be hands-on from concept to deployment.collaborate across GDI&A; functions and partner with business stakeholders to drive strategic outcomes.lead, mentor, and inspire your team to deliver impactful results, while fostering an innovative, collaborative, and high-performing setting. Key Responsibilities:Strategic & Technical Leadership: Lead business engagement, apply and refine methodologies to deliver analytical solutions that help data driven decision making to reduce cost, improve quality and deliver value across Ford Enterprise.Data Improvement & Integration: Collaborate with business partners, GDI&A; functional teams and Centers of Excellence to improve data quality and integrate data from diverse sources.Hands-on Expertise: Build, improve, and deploy Machine Learning & AI models to provide descriptive, predictive and prescriptive analytics.Team Leadership & Mentorship: Lead, mentor, and develop a high-performing team, fostering best practices in software development and data science.Technology Strategy: Develop and implement a roadmap for adopting and integrating new technologies (e.G., GCP).Cross-functional Collaboration: Work effectively with various teams and stakeholders to achieve business objectives

📌 Manager Industrial System Analytic Gdi&A (Chennai)
🏢 Ford
📍 Chennai