Responsibilities

• Create an integrated Marketing AI strategy and roadmap across Corporate Marketing, BUs, regions, and enterprise AI initiatives.
• Identify, prioritize, and shape high-value AI use cases across marketing, content, insights, sales/customer enablement, and digital experience.
• Assess the right pathway for each opportunity: embedded platform capability, custom AI solution, process redesign, vendor solution, or no-AI alternative.
• Develop strategic AI business cases, prioritization criteria, milestones, success measures, and MVP-to-scale plans for priority use cases. Partner divisional AI councils to ensure alignment and approval.
• Maintain visibility across Corporate Affairs, Commercial AI and BU marketing AI pilots, tools, owners, dependencies, and best practices to reduce duplication and accelerate scaling.
• Represent Marketing in enterprise and BU AI/transformation initiatives to ensure marketing needs, governance requirements, and workflow implications are addressed.
• Builds practical guardrails, and decision frameworks that help marketing teams move faster while staying aligned with privacy, compliance, brand, quality, and responsible AI expectations
• Advise marketing leaders and teams on when and how AI should be applied, when it should not be applied, and what change management or governance is required.
• Partners with Data Science, AI engineering, Digital, Content, Marketing Operations, Legal, Privacy, Compliance, Commercial AI, and change-management partners to move ideas into practical execution.
• Support AI literacy, champion networks, communities of practice, adoption playbooks, best-practice forums, and communications that help marketers use AI responsibly and effectively.

Requirements

• Bachelor's degree and 10+ years of relevant experience, or advanced degree with 8+ years of relevant experience
• Experience in marketing, commercial enablement, or capability transformation.
• Demonstrated ability to lead strategic enterprise initiatives and influence outcomes in a matrixed global organization without direct authority.
• Strong understanding of how marketing, content, campaigns, customer experience, and commercial enablement programs are developed, approved, measured, and delivered.
• Practical experience applying AI or automation in business contexts beyond basic prompting, preferably in marketing, communications, insights, operations, content, digital experience, or customer engagement.
• Strong conceptual understanding of generative AI, automation, data-enabled workflows, and responsible AI; hands-on technical depth or coding is beneficial but not required.
• Exceptional communication, executive storytelling, facilitation, stakeholder management, analytical, and problem-framing skills.
• Experience in medical devices, healthcare, life sciences, or another regulated or brand-sensitive industry preferred.

Preferred

• MBA or relevant advanced degree preferred.
• Hands-on experience with ChatGPT, Claude, Microsoft Copilot, or other large language models; ability to evaluate practical strengths, limitations, and risks.
• Experience designing capability-building programs, change-management efforts, champion networks, or communities of practice.
• Proficiency in PowerPoint and Excel; familiarity with CRM, data solutions, analytics tools, workflow platforms, APIs, or low-code/no-code AI tools is a plus.
• Intellectually curious, pragmatic, collaborative, detail-oriented, data-driven, and comfortable operating in ambiguity.