Accenture in India
Website:
accenture.com
Company:
https://www.linkedin.com/company/accentureindia
Seniority: Not Applicable
Industries: IT Services and IT Consulting
Job details:
Entity: GN Song
Practice: GN Song - Data & AI
Title: Song EVA Senior Manager - CL6
Job Location: Gurgaon/ Bangalore/ Mumbai/ Hyderabad/ Pune/ Kolkata/ Chennai
About Song - Data & AI
Accenture Song uses AI, proprietary customer data, and product platforms to help clients improve customer experience and drive measurable growth across marketing, sales, commerce, and service. From strategy through execution, Song Data & AI helps organizations build and operationalize advanced capabilities - covering customer data unification, predictive analytics, and Generative AI (including agentic use cases) - to enable smarter decisioning like personalization and “next best action,” faster content and experience delivery, and more effective commerce and customer engagement.
What's In It For You?
- Join a worldwide network of practitioners who are pioneers in leveraging cutting-edge AI technologies, including Generative AI and Agentic AI.
- Access world-class training, mentorship, and certifications to expand your skill set and stay at the forefront of industry trends.
- Work on high-visibility engagements across Marketing, Sales, Commerce, Customer Service, and Digital Products - applying AI to transform how businesses operate.
- Contribute to Accenture's internal accelerators, reusable assets, and methodologies that scale AI adoption globally.
What You Will Do
As a Senior Manager, you will set technical and strategic directions for AI-led reinvention programs, design and architect end-to-end solutions, leading large cross-functional teams to deliver transformative outcomes for clients at scale.
- Lead the development and go-to-market execution of Agentic AI-powered solutions across Marketing, Sales, Commerce, Service, and Digital Products domains.
- Define enterprise AI architecture, multi-agent orchestration strategies, and AI-enabled operating model blueprints tailored to client context.
- Drive origination and solutioning for new AI opportunities - developing business cases, solution roadmaps, and executive-level points of view.
- Own client relationships at the C-suite and senior leadership level, positioning Accenture as the partner of choice for AI-led transformation.
- Oversee end-to-end delivery governance across complex, multi-tower AI programs - managing scope, risk, quality, and outcomes.
- Provide thought leadership on Agentic AI, Generative AI, and industry-specific applications - including publication of assets, speaking at forums, and shaping Accenture's practice narrative.
- Build and scale Accenture's AI capability in domain: hiring, developing, and retaining top-tier AI talent across career levels.
- Shape and contribute to the AI accelerator portfolio - reusable components, domain-specific agents, fine-tuned models, and industry-specific playbooks.
- Collaborate with Accenture's global AI, technology, and innovation communities to bring the best of the firm to client engagements.
- Stay at the forefront of AI innovation - synthesizing emerging research, vendor capabilities (AWS, Azure, GCP, NVIDIA, and others), and industry developments into actionable client offerings.
Domain Focus
Candidates should bring hands-on solution-building experience in one or more of the following domains:
- Marketing - customer acquisition, content/ creative generation, performance optimization, and next-best-action execution
- Sales - omnichannel selling experiences, and revenue intelligence
- Commerce - digital commerce platforms
- Service - customer service transformation, contact center AI, and operations automation
- Design & Digital Products - experience design, digital product build, and agile product delivery
Who We Are Looking For
Mandatory
- Bachelor's or Master's degree in Computer Science, Statistics, Mathematics, Engineering, or a related discipline. MBA from a top institution advantageous.
- 12-18 years of progressive experience in AI, Data Science, and/or digital consulting, with significant leadership and client-facing accountability.
- Deep technical fluency in AI/ML - must be able to credibly engage on architecture decisions, model trade-offs, and engineering standards, even in a leadership capacity.
- Proven track record of designing and delivering enterprise-scale Agentic AI and Generative AI solutions, including multi-agent architectures.
- Strong foundations in supervised/ unsupervised ML, feature engineering, model evaluation and experimentation; ability to select appropriate techniques rather than relying only on LLMs.
- Hands-on Generative AI experience includes prompt engineering, embeddings, vector search, Retrieval-Augmented Generation (RAG), structured outputs, evaluation and guardrails.
- Agentic AI experience with tool/ function calling, planning, memory/context, orchestration and multi-agent patterns using frameworks such as LangGraph, LangChain, LlamaIndex, CrewAI, AutoGen or equivalent.
- Python and SQL proficiency; experience building modular services/APIs (e.g., FastAPI) and integrating models/ agents with enterprise applications and data sources.
- Hands-on exposure to at least one major cloud or AI platform - AWS, Azure, GCP, Databricks, Snowflake, or Anthropic - and its relevant AI services for development and deployment (e.g. Amazon Bedrock/ SageMaker, Azure AI Foundry/ Azure OpenAI, or Vertex AI), plus containerized deployment, secrets/ IAM and monitoring fundamentals.
- Working knowledge of data platforms and pipelines; familiarity with Databricks/ Spark, vector databases, relational databases and API-based integrations is valuable.
- Awareness of Responsible AI, security, privacy, observability, testing and evaluation practices needed to move AI solutions from prototype to production. Demonstrated ability to originate, shape, and close AI transformation opportunities with senior client stakeholders.
- Exceptional executive communication and storytelling skills - ability to simplify complex AI for C-suite audiences and drive buy-in.
- Demonstrated capability in Enterprise AI Strategy and AI & Data Roadmap development - including AI maturity assessments, platform strategy, and agentic system design across at least one functional domain or cloud platform.
- Experience defining Enterprise Data Strategy, data products, semantic/knowledge layer design, and knowledge architecture to underpin AI and agentic solutions.
- Ability to develop rigorous AI business cases and lead value realization frameworks - translating technical AI capabilities into financial outcomes and executive investment rationale.
- Proven experience managing large, multi-disciplinary teams and program portfolios across geographies.
What We Are NOT Looking For
- Profiles focused purely on presales, platform consulting (SAP/Oracle), or strategy advisory without demonstrable AI delivery depth.
- Pure Data Engineers, ML Engineers, or Solution Architects without commercial accountability or C-suite client ownership.
- Pure Delivery/ Program Managers with no strategy, solutioning, or origination track record.
- Leaders without technical AI fluency, who cannot engage substantively on architecture, model selection, or engineering governance.
- Candidates transitioning from unrelated industries without a clear and substantive AI capability track record.
Accenture is an equal opportunities employer and welcomes applications from all sections of society and does not discriminate on grounds of race, religion or belief, ethnic or national origin, disability, age, citizenship, marital, domestic or civil partnership status, sexual orientation, gender identity, or any other basis as protected by applicable law.
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