Marketing Manager IV- #26-20240

Duration: 9+ months

About the role

Designs and owns the systems, standards, and workflows that enable portfolio and positioning to scale consistently across a large, matrixed marketing organization. Translates positioning strategy into durable, reusable, and AI-enabled messaging frameworks, enablement resources, and measurement systems — without owning the strategy or content itself.

What This Role Is

• The owner of messaging infrastructure — the systems, templates, and processes that help positioning decisions reach teams at scale
• Responsible for how messaging is structured, packaged, measured, and optimized across the organization
• A partner to positioning strategy leads in turning high-level positioning into practical, repeatable frameworks any team can use
• An enabler of speed, consistency, and quality as messaging scales across teams, channels, and AI-powered tools

What This Role Is Not

• Not a content or asset producer
• Not a campaign, launch, or activation owner
• Not a data science or reporting role

Responsibilities

Messaging Architecture & Documentation Systems

• Own the structure, templates, and lifecycle of the organization's core messaging documents — the single-source-of-truth references that teams use to build communications
• Define standard components, metadata, and tagging conventions that reflect strategic positioning decisions
• Ensure messaging documentation is modular, reusable, and structured for AI integration
• Partner with strategy leads to ensure documentation clearly reflects positioning intent

Canonical vs. Adaptable Messaging Guidance

• Operationalize decisions about what messaging is fixed (must be used as-is) vs. flexible (can be adapted for audience or channel)
• Ensure teams understand how to tailor messaging for their context without diluting strategic intent

Enablement Resource Design (System Ownership)

• Design and standardize go-to-market enablement packages for product portfolios, brand stories, and tentpole moments
• Define:
  • Core components (e.g., pitch frameworks, proof points, usage guidance)
  • When enablement packages are required vs. optional
  • How packages should be adapted by downstream marketing and audience teams
• Ensure enablement resources are:
  • Modular and composable
  • Reusable across teams and markets
  • Structured for AI-assisted workflows
• Partner with marketing and audience teams on adoption, not production

Measurement & Optimization

• Define success metrics for positioning reach, adoption, and effectiveness
• Recommend:
  • What to measure (e.g., adoption rates, reuse frequency, message clarity, consistency across touchpoints)
  • How to measure (signals, proxies, qualitative quantitative inputs)
  • Benchmarks and baselines
• Establish lightweight tracking mechanisms in partnership with Analytics / Ops teams
• Use insights to:
  • Identify gaps or overproduction in messaging resources
  • Recommend optimizations to systems and enablement
  • Inform future messaging and enablement design

AI Enablement & Scale

• Design AI-ready workflows that reinforce messaging guardrails and brand standards
• Ensure AI tools accelerate synthesis, reuse, and consistency across the organization
• Monitor quality and risk in AI-assisted messaging outputs

Governance & Quality at Scale

• Manage messaging document and enablement resource lifecycle, versioning, and updates
• Spot-check for drift or misuse and trigger exception reviews
• Partner with leadership and strategy leads on governance thresholds and escalation paths

What Success Looks Like

• Positioning decisions scale cleanly through messaging documentation, enablement resources, and AI systems
• Teams reuse existing messaging and enablement instead of reinventing it
• Enablement volume decreases while usage and impact increase
• Fixed vs. flexible guidance is clear and consistently applied
• AI is used safely and effectively to accelerate messaging work
• The team has clear insight into what's working and what's not — and adjusts accordingly

Requirements

• Strong systems thinking, framework design, and pattern-recognition skills
• Experience scaling messaging, enablement, or content platforms across complex, matrixed organizations
• Ability to translate abstract strategy into practical, repeatable guidance
• Comfort influencing without direct authority across cross-functional teams
• Experience defining success metrics and using data to drive continuous improvement
• Fluency using AI as an accelerant for scale and consistency

About the company

This role is a strategic enabler within GBM, focused on scaling messaging infrastructure, leveraging AI, and driving cross-functional adoption. It requires both technical and softer skills, and operates within a complex ecosystem of teams and projects—all aimed at maximizing the impact and consistency of business messaging and positioning.