JLL supports the Whole You, personally and professionally.

What This Role InvolvesLead discovery workshops with business stakeholders to surface automation, Gen AI, and agentic AI opportunities across processes

Own use-case evaluation and technology routing at the front end of the pipeline — determining, with real technical grounding, whether an opportunity belongs in the RPA/Python automation bucket, the Gen AI + Automation bucket, or the Agentic AI bucket

Translate business requirements into clear functional specifications (BRDs/FRDs/PDDs) tailored to the chosen technology path — including data/prompt requirements for Gen AI use cases and tool, orchestration, and autonomy requirements for agentic use cases

Partner closely with RPA developers, Gen AI/prompt engineers, and agentic AI developers to validate technical feasibility, effort, and design before committing timelines to the business

Draw on strong technical understanding and prior delivery experience to challenge technical assumptions, spot scope creep early, and de-risk delivery before it starts

Support QA/UAT with genuine technical fluency — particularly for Gen AI and agentic outputs, where validation goes beyond simple pass/fail scripting

Build and maintain a consistent intake framework, scorecards, and templates so use-case triage is objective and repeatable across the wider team

Communicate technology-fit recommendations and trade-offs to business and senior stakeholders in plain business language

Track and report benefits realized across all three technology buckets, working with delivery teams to ensure the numbers hold up to scrutiny

Coach and mentor other BAs on how to evaluate and frame use cases across the automation-to-agentic spectrum

ExperienceTechnical fluency :



strong technical understanding of Gen AI and Agentic AI implementations, gained through close involvement in delivery — as a technical lead, solution architect, or embedded BA on a technical build — not just conceptual exposure or vendor briefings BA experience : demonstrated experience working as a Business Analyst — requirements gathering, scoping, and stakeholder management — ideally on automation, Gen AI, or agentic AI initiatives Proof points : demonstrable exposure to at least one Gen AI-enabled automation solution and one agentic AI solution or pilot

Solid grounding in traditional RPA and Python automation delivery (Automation Anywhere, UiPath, Power Automate, or Python/VBA-based automation) sufficient to recognize when classic automation is the right and sufficient answer

Track record of translating ambiguous business problems into structured technical requirements across multiple technology paradigms

Experience partnering with both business stakeholders and engineering/data science teams as a two-way translator

Prior program/project delivery experience in a global organization; consulting or transformation background is a plus, but secondary to genuine technical fluency in Gen AI/agentic AI and demonstrated BA experience

Solid analytical and financial acumen to build the business case for a chosen technology path Change / Leadership SkillsInfluencing and teamwork :



ability to influence others and move toward a common vision or goal; works effectively at all levels of an organization; a strong team player Delivery discipline : knows how to structure, staff, and manage workstreams to ensure clarity of expectation, timely execution, and successful outcomes Analytical skills : a structured approach to problem-solving with a natural inclination for planning strategy and tactics; drives to the root cause rather than the symptom Character : perseverant and resourceful, flexible and adaptable in ambiguous situations, resilient with a forward-looking, holistic approach

Technical SkillsIdentify opportunities for standardization, improvement, automation, Gen AI augmentation, or agentic redesign of processes

Own, contribute to, and deliver project tasks/activities required to achieve project outcomes on the ground

Work with stakeholders to build understanding and support for the recommended technology path

Collaborate across divisions, senior leaders, and support functions — often across geographies — to maximize benefit realization

Automation, Gen AI, and agentic SDLC implementation experience across the full lifecycle Gen AI fluency : working understanding of LLM capabilities and limitations, prompt engineering fundamentals, and retrieval-augmented generation (RAG); ability to assess data readiness (structured vs. unstructured) and prompt/context feasibility for a use case; understanding of hallucination risk and output-validation strategies; familiarity with major platforms and APIs (Open AI, Anthropic Claude, Microsoft Copilot, Azure Open AI) Agentic AI fluency : understanding of agent architectures — single-agent vs. multi-agent, planner-executor patterns, tool/function calling, memory and state management; ability to judge w

📌 Senior Manager - Intelligent Automation (Hyderabad)
🏢 JLL
📍 Hyderabad