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Senior Director, Marketing AI Transformation
Thomson Reuters. Turn the marketing AI strategy into working production capability .
About the role
Key responsibilities & impact- Turn the marketing AI strategy into working production capability
- Own the design, build, versioning, and governance of AI skills and agents powering end-to-end marketing workflows
- Lead and grow a team of AI engineers while remaining hands-on in development
- Convert the prioritized AI use-case portfolio into shipped, measurable capabilities against timelines and quality standards
- Coordinate engineering and data science dependencies, defining interfaces, sequencing, and accountability
- Deliver complete workflows from brief to channel-ready output across demand generation, content and creative, lifecycle, web and personalization, and audience and measurement
- Embed with marketing teams to understand workflows and drive adoption
- Build reusable legal, privacy, accessibility, and content-integrity compliance checks
- Establish engineering governance, ownership, versioning, reviews, quality monitoring, cost control, and guardrails
- Engineer for portability and avoid platform lock-in
- Measure pipeline contribution, hours redeployed, time-to-insight, adoption, and quality
- Partner with enterprise engineering, IT, and commercial and revenue operations
Requirements
What you’ll need- Hands-on experience architecting and shipping production AI applications, including agentic workflows, skill and context engineering, orchestration, retrieval, and tool and API integration
- Deep fluency in B2B marketing and the technology behind it, including demand generation, campaign and content operations, lifecycle, segmentation, web and personalization, and attribution
- Strong technical foundation in data engineering, analytics engineering, business intelligence, or software engineering
- Experience with data pipelines, modern data platforms and warehouses, scale, quality, and governance
- Track record of building a capability or platform from scratch and scaling it to sustained usage
- Experience leading engineers as a hands-on builder-leader
- Proven ability to deliver through influence and partnership across teams not directly owned
- Sound judgment on quality, risk, and governance in production AI
- Bachelor's degree or equivalent practical experience
- Preferred: hands-on experience with the martech and marketing-data stack and B2B demand generation and lifecycle marketing
- Preferred: familiarity with marketing automation, CRM, web and content platforms, BI, and data-transformation tooling
- Preferred: data science experience such as propensity, attribution, or segmentation modeling
- Preferred: experience in a regulated or high-accuracy industry
- Preferred: record of shipping AI or automation capability adopted at scale
Benefits
Comp & perks- Flexible work arrangements, including work from anywhere for up to 8 weeks per year
- Continuous learning and skills development through Grow My Way programming
- Flexible vacation
- Two company-wide Mental Health Days off
- Headspace app access
- Retirement savings
- Tuition reimbursement
- Employee incentive programs
- Mental, physical, and financial wellbeing resources
- Two paid volunteer days off annually
- Pro-bono consulting project opportunities
- Environmental, Social, and Governance (ESG) initiative opportunities
- Health, dental, vision, disability, and life insurance programs
- 401k plan with company match
- Competitive vacation, sick and safe paid time off
- Paid holidays, including two company mental health days off
- Parental leave
- Sabbatical leave
- 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
- Employee Assistance Program
- Group Legal Identity Theft Protection benefit paid 100% by employee
- 529 Plan access
- Commuter benefits
- Adoption & Surrogacy Assistance
- Employee Stock Purchase Plan