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Thomson Reuters

Legal, financial data, and media services

Agile Delivery Lead - AI & Automation

Program ManagementConfirmed live in the last 24 hours
Full-time

About the Job

Requirements

  • Demonstrated experience leading the daily Agile delivery of high-output engineering, automation, or technology teams.
  • Deep practical understanding of small-batch delivery, cardinal prioritization, minimum viable product 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.

Responsibilities

  • Lead day-to-day Agile delivery of AI and automation experiments, from initial idea through minimum viable product, validation, and production, with an emphasis on rapid feedback and maximizing learning.
  • Partner with Legal Service Management 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.

Desired Qualifications

  • Certified ScrumMaster, Professional Scrum Master, PMI Agile Certified Practitioner, 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 work-in-progress limits, cycle time, throughput, and aging-work analysis. ITIL Foundation certification or practical technology service-management experience is also beneficial.
  • Experience using Azure DevOps or a similar backlog and delivery-management platform.
  • Experience delivering technology within enterprise security, governance, and responsible AI expectations.

About the Company

Thomson Reuters

Legal, financial data, and media services

Thomson Reuters provides intelligent information and professional services for law, tax, finance, and media. It serves law firms, corporations, government agencies, and financial institutions with platforms like legal research (Westlaw), tax software (UltraTax CS), financial market data, and news services. These products are accessed through subscription-based platforms, ensuring ongoing updates and a steady revenue stream. The company also monetizes through advertising on media platforms and data analytics sales. It distinguishes itself by offering a broad, integrated suite of industry-specific tools combined with AI, cognitive computing, and machine learning to improve accuracy, efficiency, and predictive analytics in research and data insights. Its goal is to be a trusted partner that helps professionals make informed decisions by delivering reliable information and decision-ready tools while pursuing responsible, values-driven initiatives.

Company size
10,001+
Company stage
IPO
Headquarters
Toronto, Canada
Founded
1851

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