Manager/Senior Manager - Data & Artificial Intelligence - Auto & Industrial Sector - Consulting Firm

Role:

Manager / Senior Manager Consultant - Auto & Industrial (Data & AI)

:

A Manager / Senior Manager / Consultant in Auto & Industrial brings deep domain knowledge, analytical expertise, and leadership to help clients unlock business value. The role involves translating complex business challenges into analytical frameworks, leveraging AI/ML, cloud, and digital capabilities to design scalable solutions. The Manager will act as both a thought leader and practitioner, guiding project teams, co-creating with clients, and driving performance improvement initiatives across the automotive and industrial value chain.

Key Responsibilities:

Client Engagement & Problem Solving:

• Develop a deep understanding of client business challenges across Auto/Industrial domains (e.g., connected vehicles, digital supply chain, electrification, sustainability, mobility services).
• Translate business needs into analytical, digital, and AI/ML solutions with measurable impact.
• Act as a trusted advisor, shaping strategies, frameworks, and roadmaps for transformation.

Analytics & AI/ML Solutioning:

• Lead design and delivery of advanced analytical solutions (predictive, prescriptive, and cognitive).
• Work with large, diverse datasets including IoT/telematics, transactional, behavioral, and external market data.
• Apply advanced techniques including forecasting, optimization, NLP, computer vision, recommendation engines, and generative AI.
• Leverage cloud-native tools (Azure, AWS, GCP) for data engineering, ML model deployment, and scalable solution delivery.

Delivery & Leadership:

• Own end-to-end project delivery including scoping, planning, execution, and stakeholder management.
• Define work plans, manage cross-functional teams, and ensure high-quality outcomes.
• Mentor junior team members and foster a culture of innovation, collaboration, and excellence.

Innovation & Industry Focus:

• Support development of proprietary analytics solutions, accelerators, and thought leadership for Auto/Industrial.
• Drive experimentation and prototyping using emerging technologies (digital twins, generative AI, reinforcement learning, blockchain in supply chain).
• Apply analytics to business areas such as revenue growth management, supply chain optimization, connected vehicle analytics, pricing optimization, and ESG initiatives.

Requirements:

• 4 to 15 years of experience in consulting/analytics with exposure to Auto/Industrial sector.
• Proven experience in designing and implementing AI/Gen AI or analytics-driven solutions.
• Strong hands-on experience in Python, Spark, SQL; proficiency in ML frameworks (TensorFlow, PyTorch, Scikit-learn).
• Experience with cloud platforms (Azure, GCP, AWS) and MLOps best practices.
• Demonstrated expertise in Generative AI including building and scaling GenAI copilots, document intelligence, and orchestration frameworks (LangChain, LlamaIndex).
• Familiarity with digital twin, IoT/telematics, connected vehicle ecosystems, or Industry 4.0 is desirable.

Soft Skills:

• Strong leadership and stakeholder management skills.
• Ability to simplify complex problems and communicate insights clearly to non-technical stakeholders.
• Strong problem-solving, critical thinking, and structured communication.
• Growth mindset with curiosity for emerging technologies and industry trends.
• Collaborative team player with high attention to detail.

Educational Background:

• B.Tech/M.Tech in Engineering, Computer Science, Data Science, or related field.
• Master's degree in Data Science, AI/ML, Statistics, Economics, or related disciplines preferred.
• Ph.D./M.Phil. in quantitative disciplines is an advantage.