GN - SC&E - PRH - RDE – Manager

Level 7: GN - SC&E - PRH - RDE – Manager Manager – Industry & Workflow Advisor / Value Architect Accenture Strategy and Consulting Find endless opportunities to solve our clients' toughest challenges, as you work with exceptional people, the latest tech, and leading companies across industries. Business Unit: Strategy & Consulting, Global Network | Areas of Work: Reinvention Deployed Engineering (RDE) | Level: Manager | Location: Bangalore, Gurgaon, Mumbai, Pune | Overall Relevant Exp: 7+ years Explore an Exciting Career at Accenture Do you want to help reinvent how global enterprises run, end to end? Are you enthusiastic about turning complex business processes into AI-ready workflows and products that go live, get measured, and scale? Does working in a collaborative, innovation-driven environment that values purpose and performance inspire you? Then, Accenture Strategy and Consulting is the right place for you to explore limitless possibilities. As part of our Reinvention Deployed Engineering (RDE) organization within Strategy & Consulting, you will help clients move from never-ending AI pilots to performance — turning AI ambition into measurable business value at scale. RDE brings strategy, process reinvention, engineering, and value management into one collocated, fast-moving pod that defines the business problem first, co-owns the reinvention with the client, and designs for production from day one, with the goal of a live, measured, scalable solution in 90 days. Because AI models alone do not solve business problems — understanding workflows and industry context is what unlocks value — this role is central to how the engagement delivers. As Manager, you bring deep knowledge of Generative AI, LLMs, agentic AI, RAG, and multi-agent orchestration to design agentic workflows and define AI / agent features. You own the solution concept, the end-to-end workflow design, the product scope and roadmap, and the value case that justifies them — partnering with clients to identify high-impact reinvention opportunities enabled by agentic AI, Generative AI, and automation, and coordinating multidisciplinary teams to translate intent into measurable outcomes. Together, let us innovate, build competitive advantages, and improve business and societal outcomes, in an ever-changing, ever-challenging world. Roles & Responsibilities: Partner with client stakeholders to identify and prioritize high-impact reinvention opportunities, and shape the workflow and value roadmap that frames the engagement. Own and design end-to-end, cross-functional workflows, defining where Generative AI, LLM-based assistance, and agentic automation augment or replace human steps. Define the agentic solution design — single vs. multi-agent orchestration patterns, agent roles and intent, prompt logic, RAG grounding needs, guardrails, and human-in-the-loop checkpoints — as clear input for build and delivery teams. Own product scope and the multi-sprint roadmap — translate workflows into AI-feature definitions and a prioritized backlog, and provide functional input to build-vs-buy and AI-adoption decisions aligned to business outcomes. Define workflow logic, states, handoffs, and exception paths, and translate client processes into clear requirements that engineering can work against. Own the value story for the engagement — define value metrics and KPIs, establish the baseline, build the business case, and create and track the value realization plan. Drive delivery using agile / Scrum / hybrid methodologies, governing scope, dependencies, and acceptance against business intent. Apply industry and regulatory knowledge to ensure compliant, realistic, domain-aware workflow and product designs. Lead a cross-functional delivery pod — Full Stack Engineers, AI Model Specialists, Ecosystem Partner Cloud Architects, UX/UI designers, and Data Specialists — as the bridge between business need and delivered agentic AI solutions. Create thought leadership and reusable methodologies for end-to-end workflow design, AI-readiness assessment, product definition, and value architecture. Partner with change management to drive stakeholder alignment, training, business readiness, and sustained adoption; track outcomes and benefits realization against the baseline value case; and stay current with key industry and technology trends. Drive business development and pre-sales — shape the workflow, product, and value narrative, deliver client presentations, and develop proposals and RFP responses that convey the proposed end-to-end solution and its quantified business impact. Bring your best skills forward to excel in the role: Strong process transformation, functional expertise, and critical thinking skills. Strong analytical skills to reach clear-cut, methodical solutions. Ability to design AI-ready / agent-ready workflows with clear logic, handoffs, states, exception paths, and human-in-the-loop points. Deep command of Generative AI, LLMs, agentic AI, RAG, and multi-agent orchestration — able to choose between single-agent and multi-agent patterns, specify what enterprise context and RAG grounding an agent needs, and define guardrail and human-in-the-loop requirements. Product management skills — product scoping, AI-feature definition, prioritization frameworks, backlog ownership, and agile / hybrid delivery. Ability to define value metrics and KPIs, build baseline value cases, and connect workflow and product design to measurable business outcomes. Ability to solve complex business problems and deliver client delight. Excellent communication, interpersonal, and presentation skills. Strong storytelling with data and ability to communicate workflow, product, and value impact to non-technical stakeholders. Cross-cultural competence with an ability to thrive in a dynamic environment. Strong program management skills with the ability to structure, govern, and deliver multi-workstream transformation programs. Abi