Spearhead AI-driven marketing transformation by defining and executing strategies for AI, generative AI, decisioning, and agentic AI. This role focuses on enhancing marketing effectiveness, elevating customer experiences, and boosting operational efficiency through innovative AI applications. You will bridge the gap between advanced AI capabilities and practical business needs, focusing on use cases, operating models, adoption, responsible AI, and tangible value realization, rather than core AI engineering.

This position offers a unique opportunity to shape the future of marketing by integrating cutting-edge AI technologies. You will play a pivotal role in developing a forward-thinking marketing vision and roadmap, leveraging AI to optimize processes and drive significant business outcomes. The emphasis is on strategic application and business impact.

Define and implement an AI-enabled marketing vision and transformation roadmap, identifying opportunities to augment or automate current marketing processes. Prioritize AI use cases based on business value, feasibility, and risk. Develop strategies for AI integration across planning, content, audience targeting, customer journeys, decisioning, operations, and measurement. Create compelling business cases and investment recommendations to secure stakeholder buy-in.

Explore and define generative AI use cases for content ideation, generation, and optimization, while developing requirements for marketing copilots and knowledge assistants. Design human-in-the-loop processes for content creation, approval, and compliance. Identify agentic AI opportunities for automating marketing processes like campaign planning, audience analysis, and performance optimization, establishing clear human oversight and approval requirements.

Develop AI-driven personalization and decisioning strategies, including segmentation, next-best-action, and recommendation use cases. Define decisioning requirements and help integrate customer signals, predictive insights, and business rules. Collaborate with analytics teams on model use cases and measurement.

Establish responsible AI controls, including transparency, fairness, and privacy, while identifying and mitigating risks associated with AI in marketing. Partner with legal, privacy, and compliance teams to define monitoring requirements for AI-generated content and decisions. Define the future-state marketing operating model, identifying new roles, skills, and ways of working to support AI adoption and workforce enablement.

A minimum of 10 years of experience is required in marketing, personalization, customer analytics, marketing technology, AI consulting, or digital transformation. Possess a strong understanding of core marketing processes, customer journeys, segmentation, campaign management, and personalization techniques. Demonstrate practical knowledge of generative AI, predictive AI, decisioning, copilots, and agentic AI concepts.

Proven ability to identify and prioritize AI use cases that deliver significant business value. Understanding of responsible AI principles, privacy considerations, risk management, and human-in-the-loop controls is essential. You must be able to articulate complex AI concepts to marketing and executive stakeholders in a clear, business-oriented manner. Excellent business-case development, workshop facilitation, and executive storytelling skills are critical for success in this role.