Agile Delivery Lead - AI & Automation

Agile Delivery Lead, AI & Automation Job Description At Thomson Reuters, we are changing how work gets done and redefining what excellent technology-based service looks like. Within Legal Service Management (LSM), we are running more AI and automation experiments, faster, so we can learn quickly and deliver measurable value. As an Agile Delivery Lead, you will lead the daily delivery of small, high-impact automation initiatives, including AI Agents and other forms of automation. This is not a traditional project management role. You will work with experienced automation practitioners and engineers. Some are dedicated team members, and others rotate in from service delivery teams. Together you will create clarity, maintain focus, remove impediments, and deliver working solutions in small increments. Key Responsibilities Lead day-to-day Agile delivery of AI and automation experiments, from initial idea through minimum viable product (MVP), validation, and production, with an emphasis on rapid feedback and maximizing learning. Partner with LSM leaders, automation experts, and engineers to maintain a cardinally ordered backlog that makes clear what is first, second, and third in priority. Make sure upcoming work is delivery-ready by facilitating requirements discovery, clarifying intended outcomes, and helping write well-defined user stories, acceptance criteria, and definitions of done. Facilitate backlog refinement, daily coordination, iteration planning, reviews, and retrospectives. Adapt Agile practices to the team's needs instead of running ceremonies mechanically. Break large or ambiguous opportunities into the smallest valuable increments, limit work in progress, and help the team finish the highest-priority work before starting more. Quickly identify and clear barriers, resolve ambiguity, and bring the right experts together to keep priority work moving. Use delivery data to identify bottlenecks, improve cycle time and throughput, support decisions, and communicate the value and learning the team produces. Required Qualifications Demonstrated experience leading the daily Agile delivery of high-output engineering, automation, or technology teams. Deep practical understanding of small-batch delivery, cardinal prioritization, MVP development, iterative delivery, feedback loops, and limiting work in progress. Ability to turn ambiguous ideas and business needs into clear, actionable backlog items, with experience in requirements clarification, story decomposition, backlog refinement, and meaningful acceptance criteria. Comfort working with senior engineers, architects, and automation specialists, and the ability to constructively challenge complexity, unclear priorities, and excessive work in progress without relying on formal authority. Skill in facilitating Agile practices that improve delivery, and the ability to explain clearly how to measure software-delivery effectiveness while staying open to learning and adapting. Use of data to improve flow, support decisions, and communicate delivered value, with comfort in an environment where requirements evolve and learning is part of delivery. Bachelor's degree or equivalent practical experience. Preferred Qualifications Certified ScrumMaster (CSM), Professional Scrum Master (PSM), PMI Agile Certified Practitioner (PMI-ACP), or equivalent demonstrated Agile delivery experience. Experience delivering AI Agents, generative AI, intelligent automation, or workflow automation. This includes lightweight business analysis practices such as requirements elicitation, process mapping, user-story development, and acceptance-criteria definition. Experience with Lean or Kanban practices, including WIP limits, cycle time, throughput, and aging-work analysis. ITIL Foundation certification or practical technology service-management experience is also beneficial. Experience using Azure DevOps (ADO) or a similar backlog and delivery-management platform. Experience delivering technology within enterprise security, governance, and responsible AI expectations. What's in it For You? Hybrid Work Model: We've adopted a flexible hybrid working environment for our office-based roles while delivering a seamless experience that is digitally and physically connected. Flexibility & Work-Life Balance: Flex My Way is a set of supportive workplace policies designed to help manage personal and professional responsibilities, whether caring for family, giving back to the community, or finding time to refresh and reset. This builds upon our flexible work arrangements, including work from anywhere for up to 8 weeks per year, empowering employees to achieve a better work-life balance. Career Development and Growth: By fostering a culture of continuous learning and skill development, we prepare our talent to tackle tomorrow's challenges and deliver real-world solutions. Our Grow My Way programming and skills-first approach ensures you have the tools and knowledge to grow, lead, and thrive in an AI-enabled future. Industry Competitive Benefits: We offer comprehensive benefit plans to include flexible vacation, two company-wide Mental Health Days off, access to the Headspace app, retirement savings, tuition reimbursement, employee incentive programs, #J-18808-Ljbffr Thomson Reuters