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AI Transformation Owner Marketing

Open 25d

You will shape the AI strategy for the marketing function and turn high-impact opportunities into adopted solutions. You will map workflows, prioritise requests against business outcomes, define success metrics, and track results. You will build no-code and low-code AI agents, configure skills and MCP tools, manage agent performance, and iterate or replace solutions as tools evolve. You will coordinate a Champion network, run adoption activities, and partner with an AI Engineer on scalable and secure technical delivery.

Responsibilities

  • Own the function's AI strategy and align it with executive and business priorities.
  • Map end-to-end workflows, identify constraints, and find high-impact AI opportunities.
  • Manage AI requests, ideas, and pain points from across the function.
  • Prioritise AI work against business outcomes and executive guidance.
  • Drive AI adoption and change management through feedback loops, office hours, onboarding, and rollout iteration.
  • Build and coordinate a Champion network across sub-teams.
  • Build AI agents with no-code and low-code platforms.
  • Author and refine skills files for AI agents.
  • Configure MCP servers and tools with the AI Engineer.
  • Own the function's fleet of agents, track KPIs, run evaluations, and iterate on performance.
  • Sunset and rebuild agent solutions when better approaches emerge.

Requirements

  • Deep knowledge of function operations and end-to-end processes.
  • Strategic prioritisation skills and ability to manage competing demands.
  • Product management mindset, including intake, backlog, iteration, adoption, and success metrics.
  • Strong communication and influence skills.
  • Cross-functional process understanding.
  • Experience building peer networks or communities of practice.
  • Ability to build working AI agents, configure skills, connect MCP servers, and troubleshoot.
  • Experience with or willingness to learn no-code and low-code AI platforms, prompt engineering, and agent configuration.
  • Conceptual understanding of AI capabilities including summarisation, classification, generation, automation, and agentic workflows.
  • Ability to map structured and unstructured data flows.

Benefits

  • Health, financial, and well-being benefits.
  • Flexible Paid Time Off.
  • Team Member Resource Groups.
  • Equity compensation and Employee Stock Purchase Plan.
  • Parental Leave.

See also

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