S&C Global Network - AI - Auto & Industrial- Senior 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 Educational Background/qualifications 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 Requirements: 8+ 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 in areas like supply chain, manufacturing, customer analytics, aftermarket services, or mobility 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 and multi-agent systems for enterprise workflows. Applying GenAI for document intelligence, knowledge retrieval, code/content generation, and conversational interfaces Familiarity with orchestration frameworks (LangChain, LlamaIndex) and agent platforms (AutoGen, CrewAI, Semantic Kernel) Working with vector databases (Pinecone, FAISS, Weaviate, Chroma) for agent memory and context Exposure to working with 2nd & 3rd party data (Nielsen, Euromonitor, IHS, social media, mobility datasets, government datasets, location intelligence sources) 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 Important Notice We have been alerted to the existence of fraudulent messages asking job seekers to set up payment to cover various costs associated with establishing employment at Accenture. 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