Senior Manager - Intelligent Automation

Job description

JLL empowers you to shape a brighter way.   Our people at JLL are shaping the future of real estate for a better world by combining world class services, advisory and technology for our clients. We are committed to hiring the best, most talented people and empowering them to thrive, grow meaningful careers and to find a place where they belong.  Whether you’ve got deep experience in commercial real estate, skilled trades or technology, or you’re looking to apply your relevant experience to a new industry, join our team as we help shape a brighter way forward.    Role Summary We are looking for a techno-functional Business Analyst who brings an all-round profile: genuine technical fluency in Gen AI and Agentic AI, built through close involvement in delivery, combined with real prior experience working as a Business Analyst — requirements gathering, scoping, and stakeholder management. This is not a traditional BA position: the candidate must bring enough technical depth to sit with business stakeholders at the very start of an initiative and help make the call on where a use case belongs - classic RPA/Python automation, Gen AI-augmented automation, or a fully agentic AI solution while also carrying the requirements-gathering and delivery discipline expected of an experienced BA. Hands-on development skills are not required; what matters is solid technical understanding earned through delivery involvement, paired with genuine BA experience. What This Role Involves • Lead 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 &#43; 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 The Candidate The successful candidate brings an all-round profile — genuine technical fluency in Gen AI and Agentic AI gained through close involvement in delivery (as a technical lead, solution architect, embedded BA on a technical build, or similar), combined with real, demonstrable experience working as a Business Analyst. They combine strong stakeholder management, a structured approach to problem-solving, and the communication skills to translate fluently between engineering and business audiences. Experience • Technical 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 • Strong analytical and financial acumen to build the business case for a chosen technology path Change / Leadership Skills • Influencing 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 <l