Marketing Manager IV

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.

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

Not a content or asset producer

Not a campaign, launch, or activation owner

Not a data science or reporting role

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

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

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

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

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

Manage messaging document and enablement resource lifecycle, versioning, and updates

Spot-check for ddrift or misuse and trigger exception reviews

Partner with leadership and strategy leads on governance thresholds and escalation paths

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

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 AIas an accelerant for scale and consistency

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…