Manager, AI Strategy & Enablement

The Manager, AI Strategy & Enablement will help execute Marketing's AI strategy by turning approved priorities into tools and workflows that teams can use. You will identify opportunities where AI can improve work, recommend whether AI, process changes, or conventional software are the better approach, and build and configure solutions directly. Quality, business impact, adoption, and time saved will determine how we measure success, not the number of tools used or launched. You will sit on the Marketing team and report to the Managing Director, MarTech & AI. You will work across Marketing and regularly collaborate with Enterprise IT, Product, Data, Information Security, Legal, Privacy, and Procurement teams. This is a hybrid role based in our New York City headquarters. You can expect to come into the office three days per week. Responsibilities: • Identify opportunities to automate or improve Marketing work and translate ambiguous business problems into practical use cases. • Recommend whether AI, process changes, or conventional software are the best approach to each problem. • Lead assigned AI projects from discovery through rollout and ongoing improvement, managing requirements, timelines, owners, dependencies, risks, and success measures. • Build, configure, test, and improve AI tools and workflows using approved enterprise, low-code, and development tools. • Apply established standards for instructions, reference materials, data, permissions, testing, monitoring, human oversight, and failure handling. • Partner with technical teams when solutions require production engineering, data access, integrations, or complex system architecture. • Create role-specific documentation and enablement, track adoption and impact, and use the results to improve tools, workflows, and training. • Evaluate AI tools and vendors for business fit, quality, integration requirements, risk, and cost. Work with governance partners to ensure solutions meet established legal, privacy, security, data, and AI oversight requirements. • Demonstrate support and understanding of our value of journalistic independence and a strong commitment to our mission to seek the truth and help people understand the world. Basic Qualifications: • 4+ years of experience in product or program management, digital transformation, marketing technology, automation, enablement, or a related field. • 2+ years of experience applying generative AI tools to business problems and workflows. • Working knowledge of AI agents and related concepts, with experience building or configuring agents, automations, retrieval systems, or AI-enabled workflows. • Experience leading cross-functional work from discovery and prototyping through implementation and adoption. • Experience translating ambiguous business problems into requirements, implementation plans, and measurable outcomes. • Experience evaluating AI quality, privacy, security, data governance, legal risk, and AI-human workflows, and explaining technical concepts to non-technical audiences. Preferred Qualifications: • Experience creating evaluation methods for AI outputs and using the results to improve instructions, context, tools, or workflow design. • Experience with AI-enabled productivity, knowledge, automation, and development tools such as Notion, Glean, Gemini Notebook, Make, Replit, or Cursor. • Experience in Marketing, Marketing Operations, or MarTech, with familiarity in vendor assessment, procurement, contracts, and enterprise technology governance. REQ-020722 #LI-Hybrid Additional Compensation and Benefits: For roles in the U.S., dependent on your role, you may be eligible for variable pay, such as an annual bonus and restricted stock. Benefits may include medical, dental and vision benefits, Flexible Spending Accounts (F.S.A.s), a company-matching 401(k) plan, employee stock purchase plan, paid vacation, paid sick days, paid parental leave, tuition reimbursement and professional development programs. For roles outside of the U.S., information on benefits will be provided during the interview process. The annual base pay range for this role is between: $110,000-$120,000 USD Candidate Use of GenAI Tools: We're excited to learn more about you and your experience. To keep our hiring process as fair and authentic as possible, we ask that you submit your own work and not use GenAI tools to generate substantive content during the application and interview process. If you're an engineering candidate, we'll let you know what specific GenAI tools you are permitted to use for your technical assessment.