Role:

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

Job Description:

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.