Senior Manager, Training and Quality

RELX•Raleigh, NC

About The Position

This role leads two critical functions within Global Editorial Operations: training that develops editorial capabilities and quality assurance that ensures accuracy at scale. The Senior Manager will own the strategy and lead teams responsible for designing and delivering role-based learning and governing editorial quality. A key focus is modernizing these functions for an AI-centric environment, leading the evolution towards an AI-first operating model. This involves integrating AI into training delivery and quality measurement, enhancing instructional design, assessment, and audit processes. The role requires simplifying and standardizing team operations, strengthening knowledge durability, and defining future roles and capabilities. Success is defined by demonstrating the impact of these functions on on-the-job performance, content accuracy, and customer outcomes, moving beyond measuring mere activity. The leader will manage a globally distributed team through significant change and collaborate with editorial leaders and analytics partners to ensure data-driven decision-making.

Requirements

5+ years leading L&D, training and/or quality functions, including managing people
A track record of driving change or transformation at scale in a complex, distributed organization
Experience building measurement systems and translating them into dashboards/reports that tie training and quality to operational and customer outcomes, ideally with hands-on fluency in tools such as Tableau, Power BI, Looker
Proven experience deploying AI in training and/or quality at scale, such as embedding AI into team workflows, not just personal use, and with the judgment to know where it helps, where it needs guardrails, and how to lead a team through adoption responsibly
A clear communicator who can present progress, risks, and tradeoffs to senior stakeholder
Experience with Learning Management Systems and Quality Assurance tools.
Grounding in instructional design and/or QA methods (adult-learning principles, sampling, calibration, error taxonomies) preferred

Responsibilities

Lead the redesign of a training operating model from predominantly manual, instructor-led delivery toward scalable, AI-enabled learning; de-risk single-point-of-failure roles by externalizing siloed knowledge into documented, AI-ingestible assets.
Lead the redesign of the editorial Quality Management System: QA frameworks, sampling, scoring standards, calibration, and feedback loops, optimizing for AI-assisted quality auditing (automated sampling, error detection, trend analysis, workflow monitoring) using defensible methods: rubrics, thresholds, and error taxonomies.
Build measurement systems that move beyond activity and satisfaction toward application and business outcomes, linking training effectiveness and editorial quality to downstream customer and business results.
Partner with the Content Performance Analyst to measure and track time-to-proficiency, post-training quality and accuracy, and AI-assisted versus unassisted performance.
Build strong relationships with editorial leadership, cross-functional partners (Technology, Finance, Metrics), and vendors; communicate strategy, progress, and risk to senior leadership through structured reporting.
Set short- and long-term goals, performance targets, and operating plans, including learning-effectiveness and quality-maturity targets.
Stay market-savvy, maintaining strong awareness of emerging AI training and QA trends; bring those insights into driving roadmap planning and content differentiation.