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

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.