Marketing Manager IV

Messaging Infrastructure Owner

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.

Qualifications:

• 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

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

Core 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…