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Thomson Reuters

Legal, financial data, and media services

Director of Workflow Engineering

Engineering LeadershipPosted on Nov 6
Full-time

About the Job

Requirements

  • At least 12 years of technology experience, including at least 7 years leading engineering or platform teams in ServiceNow or IT Service Management.
  • Ability to set technical architecture and development standards.
  • Sound build-versus-buy judgment.
  • Deep ITIL knowledge covering incident, problem, change, request, knowledge, service level management, and continual service improvement, with experience turning these practices into working automation.
  • Strong ServiceNow architecture, workflow design, and platform governance experience.
  • Familiarity with Now Platform AI, including Predictive Intelligence and Now Assist, and agentic automation.
  • Experience designing and scaling automation using tools suited to the outcome, rather than relying on only one platform.
  • Event-driven engineering experience across APIs, webhooks, monitoring and observability platforms, cloud services, and telemetry ingestion.
  • Ability to engineer workflows for real-time execution, such as global command or operations centers.
  • Fluency in continuous integration and continuous delivery, deployment automation, and observability, with readiness controls embedded in the pipeline.
  • Experience establishing development standards, quality controls, and platform governance across a global team, with safety, auditability, approvals, and rollback embedded in workflows.
  • Experience using telemetry, dependency data, historical outcomes, and risk scoring for signal-driven decision-making.
  • Strong written and verbal communication across engineering, operations, and business audiences.
  • Bachelor's degree in computer science, information systems, engineering, or a related field.

Responsibilities

  • Lead, grow, and mentor the engineering team that designs, builds, and operates automation and orchestration for global service operations.
  • Own technical architecture, development standards, and engineering practices for operational workflows on ServiceNow and related tooling from design through production support.
  • Redesign operational processes using an AI-first approach while choosing conventional automation when appropriate.
  • Replace manual, ticket-driven processes across the service lifecycle with reliable workflows that operate consistently at scale.
  • Bring predictive models, assisted experiences, and agentic automation into production operations, with approvals, rollback, and observability built in.
  • Build and own integrations for monitoring and observability platforms, continuous integration and delivery pipelines, configuration and discovery data, cloud services, and event correlation engines.
  • Set the function's engineering roadmap, define success measures, and make build-or-buy cases for new capabilities.
  • Challenge existing work practices and decide where AI-first approaches or conventional automation are appropriate.
  • Shift approval-driven governance toward signal-driven decisions using telemetry, dependency data, historical outcomes, and risk scoring.

Desired Qualifications

  • A master's degree is preferred.
  • ServiceNow and ITIL certifications are strongly preferred.
  • Cloud or automation certifications are a plus.

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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