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

Accenture PLC; Gurugram District; Hybrid; INR 4,000,000 - 7,000,000; Full time

Job summary

Accenture is seeking a Manager for Auto & Industrial to translate complex business challenges into analytical, AI-driven solutions. You will lead project delivery, guide teams, and engage clients across automotive and industrial sectors.

You will apply cloud-native data engineering, ML model deployment, and cutting-edge GenAI capabilities to drive value and sustainable transformation.

Qualifications

• 8+ years in consulting/analytics with Auto/Industrial exposure
• Experience designing Gen AI/analytics solutions in supply chain, manufacturing, mobility
• Strong hands-on Python, Spark, SQL; proficiency in ML frameworks
• Experience with cloud platforms (Azure, AWS, GCP) and MLOps best practices
• GenAI copilots and multi-agent systems for enterprise workflows
• Familiarity with data partners and diverse datasets (IoT, mobility)

Responsibilities

• Own end-to-end project delivery including scoping and planning
• Lead cross-functional teams to deliver high-quality analytics solutions
• Engage clients to translate problems into data-driven roadmaps
• Mentor juniors and foster innovation and collaboration
• Contribute to proprietary analytics accelerators and industry thought leadership

Skills

Python

Spark

SQL

TensorFlow

PyTorch

Scikit-learn

Cloud platforms

MLOps

Gen AI

LangChain

Education

B.Tech/M.Tech in Engineering

MS in Data Science/AI

PhD/MPhil (advantage)

Tools

Azure

AWS

GCP

LangChain

LlamaIndex

AutoGen

CrewAI

Semantic Kernel

Pinecone

FAISS

Weaviate

Chroma

Job description

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

Equal Employment Opportunity Statement

All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by federal, state, or local law.

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