#ACN I&P GN - Song – Manager - Enterprise AI Value Strategy-EVS

Entity: GN Song

Practice: GN Song - Data & AI

Title: Song EVA Manager - CL7

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 Manager, you will lead the design, implementation, and enterprise adoption of Agentic AI and Generative AI solutions, combining deep technical expertise with consulting leadership to deliver business transformation for clients.

• •Define and drive enterprise-level AI strategy, data orchestration design, and context management architectures for scalable Agentic AI systems.
• •Architect and lead development of multi-agent solutions - orchestrating specialized agents to solve complex, cross-functional business challenges.
• •Oversee advanced data integration, governance, and quality initiatives, ensuring reliability and auditability of inputs for autonomous AI workflows.
• •Design end-to-end orchestration pipelines with best practices for scalability, monitoring, resilience, and human-in-the-loop controls.
• •Guide deployment and optimization of AI systems on cloud platforms (AWS, Azure, GCP), ensuring enterprise readiness and lifecycle management.
• •Evaluate and improve system performance across trust, accuracy, automation rate, and business ROI metrics - in alignment with client goals.
• •Engage with senior client stakeholders and executives, positioning Agentic AI as a driver of innovation, efficiency, and competitive advantage.
• •Create executive-level solution presentations, roadmaps, and demos - communicating opportunities, risks, and adoption strategies with clarity.
• •Leverage platforms including FastAPI, GCP Vertex AI, and Databricks for modular, enterprise-grade AI solution development.
• •Manage delivery governance, resource planning, risk management, and project economics across AI engagements.
• •Mentor Consultants and Analysts, fostering hands-on capability in Agentic AI frameworks and consulting best practices.
• •Shape internal accelerators, methodologies, and playbooks to scale AI adoption across the practice.

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.
• •8-12 years of progressive experience in AI, Data Science, and/or digital consulting, with significant consulting or enterprise leadership experience.
• •Strong expertise in Python and SQL; hands-on experience building and deploying production-grade AI solutions.
• •Hands-on proficiency with Agentic AI frameworks: LangChain, LlamaIndex, AutoGen, CrewAI, LangGraph.
• •Demonstrated success leading AI projects from design through enterprise deployment, including multi-agent and orchestration-based solutions.
• •Solid experience with 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).
• •Working knowledge of data platforms and pipelines; familiarity with Databricks/ Spark, vector databases, and API-based integrations (e.g. FastAPI) is valuable.
• •Exceptional stakeholder engagement and communication skills - ability to translate advanced AI into business strategy and measurable ROI.
• •Proven project leadership capability: solution architecture, delivery governance, resource planning, and risk management.
• •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: 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.
• •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 data products, semantic/knowledge layer design, and knowledge architecture to underpin AI and agentic solutions.
• •Ability to develop AI business cases and value realization frameworks - translating technical AI capabilities into financial outcomes and executive investment rationale.
• •Awareness of Responsible AI, security, privacy, observability, testing and evaluation practices needed to move AI solutions from prototype to production.

What We Are NOT Looking For

• •Pure Data Engineers, ML Engineers, or Solution Architects without consulting, commercial, or C-suite ownership experience.
• •Pure Delivery/ Program Managers with no strategy, solutioning, or origination track record.
• •RPA-only or classic BPM-only backgrounds without AI strategy or build experience.
• •Hands-on-only architects without commercial accountability or senior client relationship ownership.
• •Profiles focused purely on pre-sales or platform consulting (SAP/Oracle/Salesforce) without demonstrable AI delivery depth.

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.

Good to Have

• •MBA/ Master's degree, Tier-1 strategy consulting background, or equivalent senior advisory pedigree.
• •Operations/ Process Transformation leadership experience; Lean/ Six Sigma or process excellence credentials.
• •External thought leadership in AI - publications, speaking engagements, or analyst engagement.
• •Scaled team leadership experience across multi-disciplinary, geographically distributed AI teams.
• •GTM and origination exposure - ability to identify and shape AI transformation opportunities in a commercial context.
• •Platform depth in one or more of: GCP, AWS, Azure, Databricks, Snowflake, or Anthropic.

About Accenture

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