Thomson Reuters

Sr Director, AI Transformation

Thomson Reuters • $157K — $292K *
US-Anywhere
+ 4 other locationsRemote
Consumer Technology
Less than 5 years of experience
Job Overview by Ladders

Qualifications

  • Hands-on experience in architecting and shipping production AI applications, including workflows and API integration.
  • Strong technical foundation in data engineering, analytics, or software engineering, with a focus on quality and governance.
  • Proven track record of building and scaling capabilities or platforms from scratch.
  • Experience leading engineers as a hands-on builder-leader, setting technical direction.
  • Ability to manage dependencies and deliver through influence across teams.
  • Sound judgment on quality and risk in production AI, with a focus on value.
  • Bachelor's degree or equivalent practical experience, with emphasis on built work over educational background.
  • Experience in marketing or commercial contexts, particularly in building tools for those functions.

Responsibilities

  • Own the development of AI skills and agents for marketing workflows, setting standards for others.
  • Lead and grow a team of AI engineers while actively participating in building processes.
  • Convert prioritized AI use cases into measurable capabilities within set timelines and quality standards.
  • Manage cross-functional dependencies, ensuring clear interfaces and accountability across teams.
  • Deliver complete end-to-end workflows, from brief to channel-ready output.
  • Establish a compliance foundation, including legal and content-integrity checks.
  • Implement engineering governance to monitor quality and manage risks in production AI.

Benefits

  • Flexibility in work arrangements, including the option to work from anywhere for up to 8 weeks per year.
  • Career development programs focused on continuous learning and skill enhancement.
  • Comprehensive benefits including flexible vacation, mental health days, and tuition reimbursement.
  • Award-winning culture emphasizing inclusion, belonging, and work-life balance.
  • Opportunities for social impact through paid volunteer days and ESG initiatives.
  • Contributing to a mission-driven company that promotes justice and transparency.
Full Job Description

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

  • 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

  • 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.

About Thomson Reuters

Thomson Reuters Corporation is a Canadian multinational media conglomerate. The company was founded in Toronto, Ontario, Canada, where it is headquartered at 333 Bay Street. Thomson Reuters provides professionals with the intelligence, technology, and human expertise they need to find trusted answers in the financial and risk, legal, tax and accounting, and media markets. The company is dual-listed on the New York Stock Exchange and the Toronto Stock Exchange. In 2019, the company reported revenues of $5.9 billion and net income of $1.3 billion.
Learn more about Thomson Reuters
Size
24,400 employees
Market Cap
$53.8 billion
Industry
Founded
2008
5 Year Trend
-10.7%
NASDAQ

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