AI Strategy Program Leader
IBM · New York, United States
- On site
- Full-time
- $150,000 / year
- New York, United States
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Job highlights
- Lead AI strategy and transformation for MCC.
- Build and operate AI Center of Excellence.
- Integrate AI into core marketing workflows.
- Partner with business and technology teams.
- Drive AI adoption and value realization.
About the role
About IBM
At IBM, we believe technology shapes the world. We’re a catalyst for that innovation. We’re driving change that improves businesses, society, and the human experience. Our Marketing, Communications & Corporate Social Responsibility (MCC) team tells this story. We shape IBM’s brand, capture attention in the market, and share our perspective with clients, partners, the media, and fellow IBMers. On our team, you’ll work with bright, collaborative minds who bring passion and creativity to everything they do. You’ll be part of a culture built on openness, trust, and teamwork. Where your ideas matter and your growth is supported. Join us, and help bring innovation to life.
Your Role And Responsibilities
IBM Marketing, Communications and Corporate Social Responsibility (MCC) is seeking a senior leader to serve as main focal and program manager for MCC. This leadership role is responsible for driving the change across the IBM MCC organization including the project management to drive the definition and scaling of the use of AI across MCC’s workflows and how we design, execute, and optimize what to do. This leader will continue to build out and operate our MCC AI Center of Excellence (CoE), embedding AI into core workflows across planning, audience, content, activation and optimization. The role requires close partnership with the business, technology, data, and governance teams to ensure AI is deployed responsibly and at enterprise scale, largely leveraging Adobe Platforms, all of IBM’s technology as well as our IBM stack.
Key Responsibilities
Strategy & Transformation Leadership
- Lead the execution of MCC’s AI strategy, vision, and multi-year roadmap aligned to growth and productivity goals
- Identify and prioritize high-impact AI use cases across campaign orchestration, personalization, content supply chain, and buyer engagement in conjunction with our IBM Consulting partner
- Redesign marketing operating models to integrate human + AI workflows at scale
- Serve as a strategic advisor to MCC and enterprise leadership on AI innovation and competitive differentiation
- Lead day to day operations of AI builds and deployments
- Bring together a community of interest made up of AI focals across MCC to ensure the centralized roadmap and grassroots initiatives align and impact accumulates
AI Productization & Scaled Execution
- Translate business needs into scalable AI-powered MCC capabilities
- Drive end-to-end execution from pilot through global scale
- Embed AI capabilities within the Adobe ecosystem (AEM, Marketo, Target) and integrate with watsonx Orchestrate for workflow automation and agent-driven execution
- Establish reusable frameworks, playbooks, and accelerators
- Continuously identify best practices (or agentic capabilities) in other business units that can be replicated or tapped into
Platform & Ecosystem Integration
- Partner with Consulting partners, CIO and Data teams to define AI architecture and standards
- Ensure seamless integration across Adobe platforms, watsonx, CRM, and data platforms
- Evaluate and onboard AI tools, models, and vendors aligned with enterprise architecture
Governance, Risk & Responsible AI
- Work with the AI Governance and Data privacy team to establish and enforce AI governance frameworks, including data privacy, model risk, bias mitigation, and brand integrity
- Partner with Legal, Security, Privacy, and Brand teams to ensure compliant and responsible AI usage
- Lead approval and oversight of AI use cases, tools, and agent-based workflows
Value Realization & Performance Management
- Define and track KPIs to measure AI impact (e.g., pipeline contribution, conversion lift, productivity gains, cost efficiency)
- Implement test-and-learn frameworks to continuously optimize performance
- Deliver executive-level reporting on AI outcomes and ROI
Adoption & Change Leadership
- Drive enterprise adoption of AI capabilities across MCC globally by showing impact and usability
- Partner with enablement and communication teams to create role-based training and AI playbooks and communicate accordingly
- Build and lead a community of practice to share best practices and scale innovation
Key skills/competency
- AI Strategy
- Program Management
- Marketing Operations
- AI Product Management
- Generative AI
- MarTech Ecosystem
- Adobe Platforms
- Watsonx Orchestrate
- Data Governance
- Change Leadership
Skills & topics
- AI Strategy
- Program Management
- Marketing Operations
- AI Product Management
- Generative AI
- MarTech
- Adobe Platforms
- Watsonx
- Digital Transformation
- Leadership
How to get hired
- Tailor your resume: Highlight AI strategy, program management, and martech experience.
- Showcase AI expertise: Emphasize experience with generative AI, watsonx, and Adobe platforms.
- Demonstrate leadership: Provide examples of leading cross-functional AI initiatives.
- Understand IBM's culture: Research IBM's commitment to innovation and responsible AI.
- Prepare for interviews: Be ready to discuss AI use cases and impact on marketing.
Technical preparation
Master AI/ML concepts and generative AI.,Understand Adobe marketing suite integration.,Familiarize with watsonx Orchestrate.,Study AI governance and responsible AI.
Behavioral questions
Describe leading a major AI transformation.,How do you integrate AI into workflows?,How do you manage cross-functional AI projects?,Discuss your approach to responsible AI.
Frequently asked questions
- What is the primary focus of the AI Strategy Program Leader role at IBM?
- The primary focus is to lead the definition, scaling, and responsible deployment of Artificial Intelligence across IBM's Marketing, Communications, and Corporate Social Responsibility (MCC) organization, driving both growth and productivity.
- What technical skills are most important for this AI Strategy Program Leader position at IBM?
- Key technical skills include a strong working knowledge of AI/ML, generative AI, agentic workflows in marketing, enterprise martech ecosystems (especially Adobe platforms like AEM, Marketo, Target), and familiarity with AI workflow orchestration platforms like watsonx Orchestrate.
- What level of experience is required for the AI Strategy Program Leader role at IBM?
- The role requires 10+ years of experience in B2B marketing, marketing operations, digital transformation, AI product management, or related fields, with a proven track record in leading enterprise-scale transformations or Center of Excellence models.
- How does IBM approach AI governance in this role?
- IBM emphasizes responsible AI usage. This role involves working closely with AI Governance, Data privacy, Legal, Security, and Brand teams to establish and enforce frameworks for data privacy, model risk, bias mitigation, and brand integrity.
- What is the expected educational background for the AI Strategy Program Leader at IBM?
- A Master's Degree is preferred. Additionally, an MBA or equivalent advanced degree is considered a plus, particularly for candidates with prior experience in RevOps, marketing analytics, or performance intelligence.
- What does 'AI Center of Excellence (CoE)' mean in the context of this IBM role?
- The MCC AI Center of Excellence (CoE) is a dedicated function within IBM's marketing organization responsible for embedding AI into core workflows, developing AI capabilities, and scaling their adoption across the team.
- How will success be measured for the AI Strategy Program Leader at IBM?
- Success will be measured by defining and tracking KPIs related to AI's impact, such as pipeline contribution, conversion lift, productivity gains, and cost efficiency. Executive-level reporting on AI outcomes and ROI is also key.