Qualifications
Responsibilities
Benefits
Do you want to lead the engineering behind how a global business runs?
At Thomson Reuters, we build technology that helps professionals pursue justice, truth, and transparency. As we move toward AI-enabled, automation-first operations, we're expanding our Service Management engineering leadership. AI Operations is our intelligence layer — detecting, correlating, predicting. Workflow Engineering is our automation layer, turning those insights into production workflows with approvals, rollback, and observability built in.
We're seeking a Director of Workflow Engineering to lead this function and set its technical direction across Service Management and IT Operations. Strong ServiceNow expertise is essential — it's one of several platforms in use. The work: re-engineer how work flows across service operations, replacing manual, ticket-driven process with automation that's reliable, auditable, and fast, and putting AI inside live workflows rather than alongside them. This is an architecture and standards role as much as a delivery one.
About the role
By the end of year one in this role, you will have:
Led, grown, and mentored the engineering team that designs, builds, and runs the automation and orchestration behind our global service operations
Owned the technical architecture, development standards, and engineering practices for our operational workflows on ServiceNow and the tooling around it, from design through production support
Shifted the mindset from automating existing process to redesigning it — applying an AI-first lens while knowing where plain automation is the better answer
Replaced manual, ticket-driven process across the service lifecycle with workflows that execute reliably and consistently at scale
Brought AI into production operations — predictive models, assisted experiences, and agentic automation — so that routine work is handled automatically and human judgement is reserved for genuine exceptions, with approvals, rollback, and observability built in
Built and owned the integrations that make automation possible: monitoring and observability platforms, CI/CD pipelines, configuration and discovery data, cloud services, and event correlation engines
Set the engineering roadmap for the function, defined how its success is measured, and made the build-or-buy case as new capability was needed
About you
Leadership & experience
12+ years in technology, including 7+ years leading engineering or platform teams (ServiceNow or IT Service Management)
Technical credibility to set architecture and development standards rather than only direct them
Sound build-vs-buy judgement
ServiceNow, ITSM & AI platform expertise
Deep ITIL fluency: incident, problem, change, request, knowledge, SLM, and continual service improvement — with a track record of turning those practices into working automation
Strong ServiceNow architecture, workflow design, and platform governance experience
Familiar with Now Platform AI (Predictive Intelligence, Now Assist) and agentic automation
Automation & integration engineering
Experience designing and scaling automation on whatever tooling serves the outcome, not just one platform
Event-driven engineering across APIs, webhooks, monitoring/observability platforms, cloud services, and telemetry ingestion
Can engineer workflows for real-time execution (e.g. global command/ops centers)
Fluent in CI/CD, deployment automation, and observability, with readiness controls built into the pipeline rather than bolted on as a review step
Judgement & governance
Challenges how work is done rather than automating it as-is, applying an AI-first lens where it pays and conventional automation where it doesn't
Experience establishing development standards, quality controls, and platform governance across a global team, with safety, auditability, approvals, and rollback embedded directly into workflows
Shifts approval-driven governance to signal-driven decisioning, using telemetry, dependency data, historical outcomes, and risk scoring
Communication
Strong written and verbal communicator across engineering, operations, and business audiences
Education
Bachelor's degree in computer science, information systems, engineering, or related field (master's preferred)
ServiceNow and ITIL certifications strongly preferred; cloud/automation certs a plus
#LI-LP2
What’s in it For You?
Eligible office location(s) for this role include one or more of the following: New York City, San Francisco, Los Angeles, and/or Irvine, CA; McLean, VA; Washington, DC. The base compensation range for the role in any of those locations is $183,100 USD - $340,000 USD. For any eligible US locations, unless otherwise noted, the base compensation range for this role is $158,900 USD - $295,100 USD. Base pay is positioned within the range based on several factors including an individual’s knowledge, skills and experience with consideration given to internal equity. Base pay is one part of a comprehensive Total Reward program which also includes flexible and supportive benefits and other wellbeing programs. This role may also be eligible for an Annual Bonus based on a combination of enterprise and individual performance.
About Thomson Reuters
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