At Skillsoft, we believe skills fuel growth. Our mission is to empower every organization and every learner to turn constant change into continuous growth. As part of the team, your skills will help organizations understand what skills they have, what they need next, and how to apply them in ways that drive real performance and progress.

As marketing evolves toward AI-powered workflows, rapidly maturing tools, and agentic systems working alongside humans, this role will ensure that emerging capabilities translates into real, repeatable value for marketers.

Skillsoft is seeking an experienced Sr. Marketing Operations Manager, Process + AI at Skillsoft, to develop and oversee the implementation of an agentic AI roadmap for the marketing organization; identifying, prioritizing, and scaling high-impact AI capabilities that improve how marketing plans, executes, and measures work. You will define what gets built, where it lives across the MarTech stack, and how it scales across teams and shaping how AI actually works for marketers day-to-day.

You will establish AI project governance as a core operating capability—creating the intake, prioritization, delivery, and measurement mechanisms that ensure AI initiatives are aligned to strategy, responsibly implemented, and adopted across teams. In parallel, you will design, refine, and govern marketing processes and the operating model that connects people, workflows, tools, and data into a scalable, continuously improving system. You will balance rapid time-to-impact with a long-term strategic approach, ensuring today's progress builds momentum without constraining future possibilities.

Key Responsibilities

AI Use Case Strategy & Roadmap

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.
Build and implement agentic workflows, automations, or AI-enabled solutions across marketing.

Solutions Framing & Technical Partnership

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.

Process Design & Governance

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 so

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