About the role

Senior Manager (AI Consulting) at Accenture’s Global Automotive Industry & Experience (I&E) practice in Bengaluru, focused on AI-led transformation for global Automotive clients across Marketing, Sales, and After-Sales. Day-to-day, you define AI vision and multi-year roadmaps, shape and manage a portfolio of high-value AI use cases tied to business KPIs, advise CXO/VP/Director stakeholders, design AI target operating models and governance, and lead end-to-end AI programs from discovery and PoV through pilot and scale-up. You also build and mentor a team of consultants and Managers, drive capability-building for Automotive AI and Agentic AI, and lead pre-sales, RFPs, and thought leadership.

What you’ll do

Define AI vision, strategic themes, and multi-year roadmaps for key Automotive accounts
Shape and manage a portfolio of high-value AI use cases linked to clear business KPIs (revenue, margin, CSAT, productivity)
Act as a strategic advisor to senior client stakeholders (CXO / VP / Director) on AI opportunities, risks, and prioritization
Translate complex AI concepts (LLMs, GenAI, Agentic AI, ML models) into simple, outcome-focused narratives
Design AI-enabled Target Operating Models: roles, skills, processes, and governance forums
Define AI governance principles covering data privacy, compliance, Responsible AI, and model risk management
Lead end-to-end AI programs from discovery and PoV through pilot and scale-up, ensuring on-time, on-budget delivery
Build, mentor, and grow a team of consultants and Managers, and drive capability-building (playbooks, templates, assets, training paths) for Automotive AI and Agentic AI

What you’ll bring

12–15+ years overall experience with significant exposure to Data/AI transformation and Automotive (CX, Sales, After-Sales)
Proven track record leading AI/analytics programs and cross-functional teams in a consulting or digital transformation context
Strong business and financial acumen, comfortable with P&L impact, ROI/TCO, and KPI design
Knowledge of LLM/GenAI ecosystems, RAG and vector databases, and integration into enterprise landscapes (CRM, DMS, CDP, ERP, etc.)
Excellent communication, executive presence, and storytelling skills
Ability to define AI vision, strategic themes, and multi-year roadmaps for key Automotive accounts
Ability to design AI-enabled Target Operating Models covering roles, skills, processes, and governance forums
Ability to lead end-to-end AI programs from discovery and PoV through pilot and scale-up with on-time, on-budget delivery

Nice to have

MBA from a Tier 1 / Tier 2 Business School plus a Computer Engineering background
Agentic AI / Gen AI implementation experience in the Automotive industry

Skills

Agentic AIGen AILLMRAGVector databasesCRMDMSCDP

Education

MBA – Tier / Tier 2 Business School + Computer Engineering Background (preferred)