Corporate Marketing AI Strategy Manager

Accountabilities:

AI Strategy and Roadmap: Own and drive the Corporate Marketing AI strategy and roadmap, defining priorities, milestones, dependencies, risks, and measurable success criteria.
Opportunity Identification and Prioritization: Collaborate with Corporate Marketing and Product Marketing teams to identify high-impact AI opportunities, establish an intake process, and prioritize initiatives based on business value and feasibility.
Workflow Development and Optimization: Partner with Marketing Operations to translate prioritized opportunities into scalable workflows, defining business requirements, processes, rules, and success metrics.
AI Prototyping and Innovation: Develop and test AI agents, prompt workflows, and automation concepts using approved enterprise platforms to validate ideas, demonstrate potential value, and inform technical requirements.
Governance and Compliance: Work with Marketing Operations, IT, Security, and Business Systems Governance teams to ensure AI initiatives comply with enterprise standards, security policies, permissions, and responsible-use guidelines.
Brand and Content Oversight: Partner with Brand Studio, Content Strategy, and content owners to establish appropriate human review and approval processes for brand-sensitive, customer-facing, and legally relevant content.
Cross-functional Leadership: Represent Corporate Marketing in enterprise AI forums, coordinate stakeholders, and drive collaboration across departments to ensure successful delivery of strategic initiatives.
Training and Enablement: Develop and deliver training programs, practical playbooks, office hours, and demonstrations to help marketing teams adopt and effectively use validated AI workflows.
Internal Communications and Advocacy: Lead communication initiatives that showcase AI solutions, share successful use cases, and encourage responsible and effective technology adoption.
Performance Measurement: Partner with Marketing Operations to monitor adoption, usage, productivity improvements, time savings, quality, and business impact, using insights to refine priorities and communicate results to stakeholders.
Strategic Milestones: Establish an initial AI roadmap and operating model, deliver the first workflow improvements within six months, and build a measurable portfolio of AI initiatives with clear ownership and continuous improvement plans within the first year.
Requirements:
12+ years of relevant professional experience in corporate marketing, integrated marketing, content strategy, marketing operations, AI enablement, or a related discipline. Candidates with a master's degree may qualify with 8+ years of experience or equivalent professional expertise.
Strong technical understanding of AI agents, prompt engineering workflows, and enterprise AI platforms, with hands-on experience prototyping or configuring solutions using tools such as Glean, Microsoft Copilot, Claude, or Power Automate.
Working knowledge of APIs, Model Context Protocol (MCP), system integrations, and permission structures, with the ability to evaluate technical feasibility and collaborate effectively with engineering teams.
Proven experience defining strategic roadmaps for complex initiatives, managing competing priorities, and delivering results in dynamic and ambiguous environments.
Demonstrated ability to lead cross-functional projects and influence stakeholders across Marketing, IT, Security, Legal, Business Systems, and enterprise AI teams.
Familiarity with AI governance frameworks, responsible AI practices, human-in-the-loop processes, and enterprise compliance requirements.
Excellent communication and presentation skills, with fluency in English and the ability to explain technical concepts, opportunities, and AI limitations to both technical and nontechnical audiences.
Experience designing and delivering training, enablement, adoption, and change-management programs that encourage consistent use of new technologies and workflows.
Strong organizational, analytical, and problem-solving skills, with the ability to connect technology initiatives to measurable business outcomes.
Bachelor's degree in Marketing, Business, Communications, Information Systems, Computer Science, or a related field. A master's degree or equivalent professional experience is preferred.
Nice to have: Experience measuring the impact of AI and automation initiatives through adoption metrics, productivity improvements, time savings, and content quality indicators.
Benefits:
Comprehensive healthcare coverage.
Generous paid time off (PTO).
Flexible work arrangements and fully remote working options.
Professional development opportunities and continuous learning programs.
Career mobility programs and leadership development workshops.
16 paid volunteer hours annually.
Access to global employee resource groups and an inclusive workplace culture.
Collaborative work environment supported by a strong commitment to respect, teamwork, and employee well-being.
Charitable giving program with company matching contributions.
Opportunities to participate in innovation initiatives, hackathons, and company culture celebrations.
Employee engagement activities, including game nights and social events.
Modern office facilities with electric vehicle charging and complimentary healthy snacks.
Transparent compensation practices, with offers determined by location, internal equity, professional experience, skills, education, and certifications.