Job Title – I&P; GN - Finance – Senior Manager - Process Excellence-PE

Management Level: 06 – Sr. Manager

Location: Hyderabad

Must have skills: Finance Operations Transformation - OTC/RTR/PTP/FP&A;/Tax/Treasury with AI strategy and value architecture experience

Valuable to have skills:
- Understanding of Multi-agent AI (LangChain / CrewAI / AutoGen) frameworks; AI Orchestration Platforms

• SAP S/4HANA or Oracle Fusion Finance functional knowledge

• Process Mining (Celonis / Signavio); RPA (UiPath / Automation Anywhere etc)

• Cloud platforms (MS Azure / AWS / GCP) and API integration patterns

• Exposure to 1 or more Enabling Tech Tools

Experience: 11-16 years

Educational Qualification: CA / CPA / MBA Finance / B.Tech / B.E / Bachelors in Data Science — Tier 1 institute

Job Summary:

Deep cross-tower Finance process transformation expert in Finance Ops -OTC/RTR/PTP/FP&A;/Tax/Treasury with AI strategy and value architecture experience

Roles & Responsibilities:
- Demonstrated experience of implementing AI use cases,



reinventing end to end processes leveraging AI
- Experience in assessments to identify AI use-cases and value framing; connecting agentic solutions to measurable KPIs
- Agentic AI Design & Implementation in Finance: Deep understanding of multi-agent orchestration, roadmap creation, human-in-the-loop design; lead teams/pods in rapid prototyping
- Solution Design & Workflow Architecture: Automation & Integration Exposure with Value Case Development experience
- AI-Enabled Operating Model Design: Design of Future Finance Op model with human+ Gen/Agentic AI agents
- AI Fluency at scale: GenAI, LLMs, RAG pipelines, Prompt Engineering, AI governance, responsible AI and auditability
- Program Leadership: Multi-workstream programmes across Finance, Tech, and Change
- Stakeholder & Executive Client Relationship Management

Skilled & Technical Skills:
- CA / CPA / MBA Finance / B.Tech / B.E / Bachelors in Data Science — Tier 1 institute

Additional Informati

📌 I&P GN (Hyderabad)
🏢 Accenture
📍 Hyderabad