#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.

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