Software Business Analysis Manager - AI Product Management

SW Business Analysis Manager

Skill required: Tech for Operations - Software Product Management
Designation: SW Business Analysis Manager
Qualifications:BE
Years of Experience:13 to 18 years
Language - Ability:English(International) - Intermediate
About Accenture
Accenture is a global professional services company with leading capabilities in digital, cloud and security.Combining unmatched experience and specialized skills across more than 40 industries, we offer Strategy and Consulting, Technology and Operations services, and Accenture Song— all powered by the world’s largest network of Advanced Technology and Intelligent Operations centers. Our 784,000 people deliver on the promise of technology and human ingenuity every day, serving clients in more than 120 countries. We embrace the power of change to create value and shared success for our clients, people, shareholders, partners and communities.Visit us at www.accenture.com
What would you do? Accenture Operations is seeking a senior Product Owner to lead Agentic AI product delivery within the Technology for Operations practice. You will own the product vision, roadmap, and backlog for autonomous AI agent solutions across F&A, Procurement, Supply Chain, and Talent & HR — partnering with the Mobilization Architects Team, AI/ML engineers, and Accenture Operations clients to drive AI-led business transformation at scale.
What are we looking for? • 15+ years in consulting, BPO, or technology transformation; 3+ years in GenAI/agentic delivery. • Deep F&A domain expertise, Supply Chain, Talent & HR — in Accenture Operations or GBS context. • Hands-on experience with Azure OpenAI, Google Vertex AI, OpenAI and agentic frameworks (LangChain, LangGraph, AutoGen, CrewAI). • Strong expertise in prompt engineering, LLM integration, RAG pipelines, and agentic workflow design. • Proven FDD authoring and requirements documentation for AI/agentic solutions in enterprise settings. • Agile/Scrum proficiency; experience with Jira, Confluence, or Azure DevOps. • Exceptional communication — can articulate GenAI/agentic concepts to business and technical audiences including C-suite. • Bachelor s/Master s degree in CS, Engineering, Business, Finance, or equivalent. • Experience with Accenture Operations platforms: myWizard AiOps, SynOps, or Accenture AI Platform. • ERP integration experience — SAP S/4HANA or Oracle Fusion with AI/agentic automation layers. • Exposure to responsible AI frameworks and compliance considerations for AI in financial services or BPO. • Certifications in AI/ML product management or cloud AI platforms (Azure, GCP).
Roles and Responsibilities: Product Strategy & Backlog Ownership • Own end-to-end product roadmap for Agentic AI solutions across Accenture Operations offerings. • Maintain outcome-driven backlog; author FDDs, user stories, and acceptance criteria for GenAI/agentic features. • Drive Agile/Scrum ceremonies: sprint planning, backlog refinement, and retrospectives. • Translate complex AI capabilities — RAG, LLMs, tool use, multi-agent orchestration — into client-ready solutions. Client Engagement & Stakeholder Management • Act as SME and trusted advisor to Accenture Operations clients on GenAI strategy and agentic automation. • Lead client workshops for requirements elicitation, process discovery, and GenAI opportunity identification. • Present agentic AI demos and facilitate sponsor/Product Owner review of solution scenarios. • Support pre-sales pursuits and collaborate with Accenture Technology & Operations leadership. GenAI & Agentic AI Solution Delivery • Define agent personas, tool-use boundaries, memory strategies, and orchestration logic for Operations workflows. • Lead As-Is process analysis and To-Be design leveraging GenAI and agentic automation across F&A, Procurement & THR • Guide configuration of GenAI platforms (Azure OpenAI, Google Vertex AI) and agentic frameworks (LangChain, AutoGen, CrewAI). • Define evals, embed responsible AI guardrails, and review UAT/test conditions for all agentic features. Team Leadership & Capability Building • Lead and mentor Functional Architects and Business Analysts across locations. • Deliver training and enablement on GenAI/agentic features for end users and UAT participants. • Champion AI capability development and support change management for agentic solution rollouts. • Manage change requests and tool version upgrades for AI/agentic functionalities across engagements.