Sr. Marketing Operations Manager, Process and AI

Skillsoft

About The Position

Skillsoft is seeking an experienced Sr. Marketing Operations Manager, Process + AI to develop and oversee the implementation of an agentic AI roadmap for the marketing organization. This role will identify, prioritize, and scale high-impact AI capabilities to improve how marketing plans, executes, and measures work. The position involves defining what gets built, where it lives across the MarTech stack, and how it scales across teams, ultimately shaping how AI works for marketers daily. The role will establish AI project governance as a core operating capability, creating mechanisms for intake, prioritization, delivery, and measurement to ensure AI initiatives align with strategy, are responsibly implemented, and adopted across teams. Additionally, the manager will design, refine, and govern marketing processes and the operating model, connecting people, workflows, tools, and data into a scalable, continuously improving system. The role requires balancing rapid time-to-impact with a long-term strategic approach.

Requirements

10+ years of professional experience in marketing operations with a focus on process and technology
Bachelor's degree in communications, marketing, business, or a related field.
Proven experience in marketing operations, business systems, process optimization, agent delivery, and governance—preferably in a complex, matrixed organization.
Strong understanding of how marketing teams practically work—and where friction, inefficiency, or opportunity exists within marketing technology stacks, system integration, and workflow design.
Demonstrated ability to translate between business needs and technical teams by simplifying complexity, creating scalable processes, and influencing cross-functional stakeholders without needing to be the hands-on implementer.
Comfort operating in ambiguity, with the judgment to know when precision and control are required versus more open-ended, exploratory solutions.
Curiosity and confidence to explore new technologies—especially agentic AI and automation—including experience building roadmaps, prioritizing use cases, and partnering to deliver AI initiatives responsibly.
Recent experience establishing lightweight governance models for AI/MarTech work (intake, stage gates, measurement, and stakeholder alignment) to drive clarity, accountability, and adoption.
Experience in change management and guiding teams through transitions with clear communication and support to ensure successful adoption of new tools and processes.
Exceptional communication skills with the ability to clarify, align, and influence across disciplines, and to convey complex technical concepts persuasively to non-technical audiences.

Nice To Haves

Prior experience with Salesforce Data Cloud, Salesforce Marketing Cloud Account Engagement (fka Pardot), Asana, HockeyStack, and/or 6Sense all desirable.

Responsibilities

Own the marketing agentic AI roadmap end-to-end—from opportunity discovery and business case development through pilot, implementation, scaling, and ongoing optimization in partnership with business stakeholders.
Identify, define, and shape the highest-priority AI use cases for marketing—translating real marketing needs into clear capability requirements, including inputs, outputs, constraints, and success criteria.
Define and apply frameworks for assessing the scaled value and impact of AI capabilities across the marketing organization.
Distinguish between highly controlled, workflow-driven AI use cases and more exploratory applications, guiding how each should be implemented and governed across the tech stack.
Act as the strategic bridge between marketing teams and internal/external technical partners—including IT, Commercial Operations, Sales, and Legal—to drive shared understanding and sustain execution momentum.
Pressure-test proposed solutions for feasibility, durability, and long-term relevance as AI capabilities evolve.
Stay ahead of AI innovations and identify how marketing thoughtfully adopts new capabilities, while maintaining a feedback loop with internal stakeholders to influence the marketing agentic roadmap direction where appropriate.
Design, document, and govern marketing processes and standards (work intake, planning, campaign execution, measurement, and tooling workflows), identifying processes that can migrate to AI and driving continuous improvement and consistent adoption across teams.
Establish and run AI project governance for marketing (intake, prioritization, resourcing, stage gates, risk/compliance reviews, and success metrics) to ensure initiatives deliver measurable business value.
Own documentation and lifecycle management for marketing AI and operational processes (use cases, controls, data inputs/outputs, change logs, and performance reporting) to keep systems compliant and operationally sound.
Champion change management, enablement, and adoption for new agentic capabilities and process changes through training, communications, playbooks, workshops, and stakeholder engagement.
Shape AI-powered workflows that feel intuitive, purposeful, and trusted by marketers—designing for adoption, not just technical possibility.
Develop playbooks, enablement materials, and working examples that help teams understand how and when to use AI effectively.
Establish feedback loops with end users to bring the internal customer perspective to planning, implementation, and optimization.
Maintain a forward-looking view of emerging AI capabilities—particularly as agentic systems, skills-based orchestration, and new automation paradigms mature.
Exercise sound judgment about when new capabilities are ready to be tested and applied, bringing a long-term perspective to near-term decisions.