Sr. Marketing Operations Manager, Process and AI
New
Listing location: US
Structured job location: USFull-TimeSenior
Salary145,000 - 155,000 USD per year
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Job Details
- Experience
- 10+ years of experience
- Required Skills
- Artificial IntelligenceChange ManagementAsana
Requirements
- 10+ years of experience in marketing operations, process optimization, or marketing technology roles.
- Strong background in marketing systems, workflow design, and operational governance within complex or matrixed environments.
- Proven ability to translate business needs into structured technical requirements and scalable solutions.
- Experience working with marketing technologies and platforms; familiarity with tools such as Salesforce Data Cloud, Marketing Cloud Account Engagement, Asana, HockeyStack, or 6Sense is a plus.
- Demonstrated experience in AI, automation, or advanced marketing operations transformation initiatives.
- Ability to design lightweight governance models for AI or MarTech initiatives, including intake and prioritization frameworks.
- Strong communication skills with the ability to influence cross-functional stakeholders and simplify complex technical concepts.
- Comfortable working in ambiguity with strong judgment on when to apply structure versus exploratory approaches.
- Experience in change management, enabling adoption of new tools, processes, and technologies across teams.
- Bachelor’s degree in marketing, business, communications, or a related field.
Responsibilities
- Lead the end-to-end marketing AI roadmap, identifying high-impact use cases and guiding them from discovery through pilot, implementation, scaling, and optimization.
- Translate marketing needs into clear AI capability requirements, defining inputs, outputs, success criteria, and operational constraints.
- Establish and manage AI governance frameworks, including intake, prioritization, stage gates, compliance checks, and performance measurement.
- Design and continuously improve marketing processes, workflows, and operating models to enable scalable and efficient execution.
- Partner with technical, operational, and legal stakeholders to ensure alignment, feasibility, and sustainable implementation of AI-driven solutions.
- Drive change management efforts including training, enablement materials, playbooks, and adoption strategies for new AI capabilities.
- Maintain documentation and lifecycle governance for AI initiatives, ensuring transparency, compliance, and continuous improvement.
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