Sr Director, AI Transformation

Reuters; New York (NY); Remote; USD 158,000 - 293,000; Full time

Benefits offered by this job

Flexibility & Work-Life Balance

Career Development

Industry Competitive Benefits

Culture of Inclusion

Parental leave

Sabbatical

Commuter benefits

Job summary

Thomson Reuters in the United States seeks a Sr Director, AI Transformation to turn marketing AI strategy into production capability. You will own the AI skills library, lead a team of AI engineers, and deliver end-to-end workflows from brief to channel-ready output with strong governance.

You will partner with engineering and data science teams to ensure scalable, compliant solutions that protect brand credibility and deliver measurable impact.

Qualifications

• Hands-on experience architecting and shipping production AI applications: agentic workflows, skill and context engineering, orchestration, retrieval, and tool and API integration.
• Strong technical foundation in data engineering, analytics engineering, BI, or software engineering with scale, quality, and governance.
• Experience building a capability or platform from scratch and scaling it to real usage.

Responsibilities

• Own AI skills development: architect, build, version, and maintain the AI skills and agents powering marketing workflows.
• Lead and grow a team of AI engineers, staying hands-on and setting a technical bar.
• Convert prioritized AI use-cases into shipped, measurable capability on schedule and quality.
• Manage cross-functional dependencies with engineering and data science teams, ensuring clear interfaces and delivery.
• Deliver end-to-end workflows from brief to finished, channel-ready output with governance and compliance foundations.
• Build compliance foundation: legal, privacy, accessibility, content integrity checks.
• Establish governance: ownership, versioning, quality monitoring, guardrails.
• Engineer for portability to avoid platform lock-in.
• Instrument outcomes: pipeline contribution, time-to-insight, adoption, quality.

Skills

AI production

Agentic workflows

Orchestration

Retrieval

Tool integration

APIs

Data engineering

Analytics engineering

BI & analytics

Education

Bachelor's degree or equivalent practical experience

Tools

Marketing automation

CRM platforms

Web/content platforms

BI tooling

Data transformation tooling

Job description

## Sr Director, AI TransformationApplyremote type: Remotelocations: United States of America, Eagan, Minnesota: United States of America, Frisco, Texas: United States of America, New York, New York: United States of America, Ann Arbor, Michigantime type: Full timeposted on: Posted Todaytime left to apply: End Date: October 12, 2026 (30+ days left to apply)job requisition id: JREQ202835**Summary of the Role**This leader turns our marketing AI strategy into working capability. The strategy and priorities are set; this role makes them real in production, at the quality bar a company serving legal, tax, and risk professionals demands.You own AI skills development: the design, build, versioning, and governance of the library of AI skills and agents that power marketing workflows end to end. You lead a team of AI engineers and are a hands-on builder yourself, not solely a manager. Delivering the strategy also depends on Teams you do not own, including engineering and data science functions; you will partner with and coordinate those Teams as dependencies, setting clear interfaces and holding delivery on track across them.Success is not a longer list of tools or adoption dashboards. It is complete marketer workflows that work, from brief through content through channel, a foundation that is compliant and portable, and clear ownership of quality so AI improves outcomes without introducing regressions. Our internal AI credibility is a direct extension of our external brand, and this role protects it.**About the Role*** Own AI skills development: architect, build, version, and maintain the skills and agents that power marketing workflows, and set the standards others build to.* Lead and grow a team of AI engineers, and stay hands-on enough to build alongside them and set the technical bar.* Convert the prioritized AI use-case portfolio into shipped, measurable capability against committed timelines and quality standards.* Manage cross-functional dependencies: partner with and coordinate the engineering and data science Teams the strategy relies on, defining clear interfaces, sequencing, and accountability so delivery does not stall between teams.* Deliver end-to-end workflows rather than fragments, enabling whole tasks from brief to finished, channel-ready output.* Build the compliance foundation first: legal, privacy, accessibility, and content-integrity checks as reusable building blocks that everything else sits on top of.* Establish engineering governance: a single accountable owner per skill, versioning and review discipline, monitoring for quality regressions, cost control, and guardrails for higher-risk autonomous use cases.* Engineer for portability and avoid platform lock-in, so investment is not stranded by future platform decisions.* Instrument outcomes that matter, including pipeline contribution, hours redeployed, time-to-insight, adoption and quality, and raise the standard for accountability and workflow redesign, not just speed.* Partner with enterprise engineering, IT, and commercial and revenue operations so marketing AI integrates cleanly with the wider technology and commercial architecture.**About you**Required Qualifications* Hands-on experience architecting and shipping production AI applications: agentic workflows, skill and context engineering, orchestration, retrieval, and tool and API integration. You have built these systems, not just overseen them.* A strong technical foundation in data engineering, analytics engineering, business intelligence, or software engineering: data pipelines, modern data platforms and warehouses, and the discipline to build for scale, quality, and governance. Deep data engineering experience counts fully here.* A track record of building a capability or platform from scratch and scaling it to real, sustained usage.* Experience leading engineers as a hands-on builder-leader, setting technical direction and raising the bar of those around you.* Proven ability to deliver through influence and partnership across Teams you do not own, managing dependencies and holding cross-functional delivery on track.* Sound judgment on quality, risk, and governance in production AI, and the instinct to say no to work that will not clear a value or quality bar.* Bachelor's degree or equivalent practical experience. We care more about what you have built than where you studied.* Experience in marketing, growth, or commercial and Go-to-market contexts, or building tooling adopted by those functions.Preferred Qualifications* Familiarity with common marketing, data, and commercial technology stacks, including marketing automation, CRM, web and content platforms, and BI and data-transformation tooling.* Data science experience such as propensity, attribution, or segmentation modeling.* Experience in a regulated or high-accuracy industry, such as legal, tax, financial services, or healthcare, where compliance and correctness are non-negotiable.* A record of shipping AI or automation capability that a business function adopted at scale.#LI-TV1**What’s in it For You?*** **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, and resources for mental, physical, and financial wellbeing.* **Culture:** Globally recognized, award-winning reputation for inclusion and belonging, flexibility, work-life balance, and more. We live by our values: Obsess over our Customers, Compete to Win, Challenge (Y)our Thinking, Act Fast / Learn Fast, and Stronger Together.* **Social Impact:** Make an impact in your community with our Social Impact Institute. We offer employees two paid volunteer days off annually and opportunities to get involved with pro-bono consulting projects and Environmental, Social, and Governance (ESG) initiatives.* **Making a Real-World Impact:** We are one of the few companies globally that helps its customers pursue justice, truth, and transparency. Together, with the professionals and institutions we serve, we help uphold the rule of law, turn the wheels of commerce, catch bad actors, report the facts, and provide trusted, unbiased information to people all over the world.In the United States, Thomson Reuters offers a comprehensive benefits package to our employees. Our benefit package includes market competitive health, dental, vision, disability, and life insurance programs, as well as a competitive 401k plan with company match. In addition, Thomson Reuters offers market leading work life benefits with competitive vacation, sick and safe paid time off, paid holidays (including two company mental health days off), parental leave, sabbatical leave. These benefits meet or exceeds the requirements of paid time off in accordance with any applicable state or municipal laws. Finally, Thomson Reuters offers the following additional benefits: optional hospital, accident and sickness insurance paid 100% by the employee; optional life and AD&D insurance paid 100% by the employee; Flexible Spending and Health Savings Accounts; fitness reimbursement; access to Employee Assistance Program; Group Legal Identity Theft Protection benefit paid 100% by employee; access to 529 Plan; commuter benefits; Adoption & Surrogacy Assistance; Tuition Reimbursement; and access to Employee Stock Purchase Plan.Thomson Reuters complies with local laws that require upfront disclosure of the expected pay range for a position. The base compensation range varies across locations.For any eligible US locations, unless otherwise noted, the base compensation range for this role is $157,500 USD - $292,500 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.This job posting will close 10/12/2026.