AI TRAINING
AI for Marketing Leaders and CMOs
Equip marketing leaders to harness AI for personalisation, content velocity, and measurable growth.
What it covers
This programme gives CMOs and senior marketing leaders a strategic and operational command of AI across the modern marketing stack. Participants explore AI-driven personalisation at scale, CDP integration, content velocity frameworks, multi-touch attribution, and how to restructure agency and in-house relationships in an AI-native environment. Sessions combine peer discussion, real campaign case studies, and hands-on tool evaluation so leaders leave with a concrete AI roadmap for their marketing function. Format is a blended programme mixing live leadership workshops with structured self-paced modules.
What you'll be able to do
- Design a phased AI adoption roadmap for your marketing function with clear KPIs and ownership
- Evaluate and select AI-powered personalisation and CDP solutions against your organisation's data maturity
- Build a content velocity operating model using generative AI while maintaining brand governance
- Interpret AI-driven attribution models and translate them into budget allocation decisions
- Define new agency and in-house team structures that leverage AI without sacrificing creativity or control
Topics covered
- AI strategy and roadmap for the marketing function
- Personalisation engines and AI-powered segmentation at scale
- Customer Data Platforms (CDP) integrated with AI and ML
- Generative AI for content velocity: briefing, creation, and governance
- Multi-touch attribution and AI-driven marketing mix modelling
- Restructuring agency and in-house team workflows in the AI era
- Ethical AI, data privacy, and GDPR considerations in marketing
- Measuring ROI and building the business case for AI marketing investment
Delivery
Delivered as a blended programme over 4-6 weeks: two full-day live workshops (in-person or virtual) bookending three self-paced online modules. Live sessions are highly interactive, with 60% discussion and case-study work and 40% structured input from facilitators. Participants receive access to a curated AI marketing tool sandbox, a peer cohort channel, and a post-programme 60-minute strategic review session. Materials include a CMO AI Playbook, vendor evaluation scorecard, and attribution model templates.
What makes it work
- Appointing a dedicated AI marketing lead or champion within the marketing leadership team
- Running a time-boxed pilot on one channel or campaign before scaling AI initiatives organisation-wide
- Co-creating AI content governance guidelines with legal, brand, and agency partners from day one
- Tying AI adoption milestones to existing OKR cycles to maintain executive accountability
Common mistakes
- Delegating AI adoption entirely to the data or IT team without marketing leadership ownership
- Investing in AI tooling before establishing clean, unified customer data foundations in a CDP
- Treating generative AI as a cost-cutting tool only, missing revenue and personalisation upside
- Failing to renegotiate agency contracts and SLAs to reflect AI-accelerated production timelines
When NOT to take this
This programme is not the right fit for marketing managers who need hands-on technical skills in prompt engineering or data pipelines — they should attend a practitioner-level AI marketing tools workshop instead.
Providers to consider
Sources
This training is part of a Data & AI catalog built for leaders serious about execution. Take the free diagnostic to see which trainings your team needs.