Manager - Automotive and Industrial Analytics

S&C Global Network - AI - Auto & Industrial- Manager

About Accenture

Accenture is a global professional services company with leading capabilities in digital, cloud and security.Combining unmatched experience and specialized skills across more than 40 industries, we offer Strategy and Consulting, Technology and Operations services, and Accenture Song— all powered by the world’s largest network of Advanced Technology and Intelligent Operations centers. Our 699,000 people deliver on the promise of technology and human ingenuity every day, serving clients in more than 120 countries. We embrace the power of change to create value and shared success for our clients, people, shareholders, partners and communities.Visit us at www.accenture.com

Manager – Auto & Industrial

A Manager 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 & Customer Analytics
  • Supply Chain Optimization & Predictive Maintenance
  • Connected Vehicle & Mobility Services Analytics
  • Pricing, Promotion, and Incentive Optimization
  • ESG, Sustainability & Circular Economy Initiatives