GN-I&E-Automotive-AOE-AI Platform-Senior Manager

JOB Description for Senior Manager (AI Consulting) Role Summary Lead AI-led transformation for global Automotive clients across Marketing, Sales, and After-Sales. Own the AI strategy, portfolio, and value realization while guiding multi-disciplinary teams to design, deliver, and scale AI/Agentic AI solutions. Key Responsibilities 1. AI Strategy & Portfolio Leadership 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). 2. Client Advisory & Stakeholder Management 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. Lead executive workshops and account planning for AI growth. 3. Operating Model, Governance & Risk 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. 4. Delivery & Program Ownership Lead end-to-end AI programs from discovery and PoV through pilot and scale-up, ensuring on-time, on-budget delivery. Ensure quality of deliverables, manage risks and dependencies, and handle escalations across geographies and accounts. 5. People Leadership & Practice Building Build, mentor, and grow a team of consultants and Managers. Drive capability-building (playbooks, templates, assets, training paths) for Automotive AI and Agentic AI. Contribute to thought leadership (PoVs, articles, conference talks) and lead pre-sales, RFPs, and orals. Experience & Skills 12–15+ years overall experience, with significant exposure to Data/AI transformation and Automotive (CX, Sales, After-Sales). MBA – Tier / Tier 2 Business School + Computer Engineering Background (preferred) 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. Agentic AI / Gen AI Implementation Experience in Automotive Industry – Highly preferred 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. Experience & Skills 12–15+ years overall experience, with significant exposure to Data/AI transformation and Automotive (CX, Sales, After-Sales). MBA – Tier / Tier 2 Business School + Computer Engineering Background (preferred) 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. Agentic AI / Gen AI Implementation Experience in Automotive Industry – Highly preferred 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. 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. No one is ever required to pay for employment at Accenture. If you are contacted by someone asking for payment, please do not respond, and contact us at india.fc.check@accenture.com immediately. 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. Please read Accenture’s Recruiting and Hiring Statement for more information on how we process your data during the Recruiting and Hiring process.