Senior Manager, Training and Quality

About the Role

In this context, the role involves partnering closely with editorial leaders and analytics partners to ground decisions in clear, credible data. The goal is to simplify and standardize team workflows, strengthen the durability of materials and know-how, and shape the roles and capabilities these functions will need going forward. Success in this role means moving both functions beyond measuring activity toward demonstrating impact, connecting training effectiveness and editorial quality to on-the-job performance, content accuracy, and customer outcomes.

What You Will Do

• Lead the redesign of the 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, including QA frameworks, sampling, scoring standards, calibration, and feedback loops.
• Optimize for AI-assisted quality auditing using defensible methods such as rubrics, thresholds, and error taxonomies.
• Build measurement systems that move beyond activity and satisfaction toward application and business outcomes.
• 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, and vendors.
• Communicate strategic plans and progress to stakeholders.
• Lead a globally distributed team through meaningful change.

What We Are Looking For

• Proven experience in leading training and quality functions, preferably in a content creation or similar environment.
• Strong background in instructional design, adult learning principles, and AI-driven training methodologies.
• Expertise in Excel and experience with Adjust or similar analytics tools.
• Excellent leadership and team management skills, with the ability to motivate and direct a global team.
• Strong analytical and problem-solving skills, with the ability to interpret data and inform strategic decisions.
• Experience in quality management systems and AI-assisted quality auditing.
• Ability to communicate complex ideas simply and effectively to both technical and non-technical stakeholders.
• A bachelor's degree in a relevant field, such as education, communications, or business administration.

Nice to Have

• Experience in the legal or professional content creation industry.
• Knowledge of responsible AI principles and their application in a professional setting.
• Familiarity with global editorial operations and the challenges of scaling content production.
• Certification in instructional design, quality management, or a related field.

Benefits and Perks

• Competitive salary and benefits package.
• Opportunity to work with a global leader in legal and professional content.
• Remote work options, with the possibility of flexible scheduling.
• Professional development opportunities, including training and education support.
• Access to the latest technologies and tools in AI-driven content creation and quality assurance.
• Collaborative and dynamic work environment with a team of professionals passionate about innovation and excellence.
• Recognition and reward for outstanding performance and contributions to the company's growth and success.

• Ensure your resume highlights specific experience with AI-driven training and quality assurance, especially if you have experience with Adjust and Excel.
• Prepare to discuss how you have applied instructional design principles and adult learning theories in previous roles.
• Showcase your ability to analyze data and use it to inform strategic decisions, particularly in the context of quality management and training effectiveness.
• Be ready to talk about your experience with global teams and how you handle cross-functional partnerships and communications.
• Consider having examples of how you've implemented or would implement responsible AI principles in a professional setting.
• Practice discussing your approach to leadership and team management, especially in the context of driving transformation and change.
• Review the company's public stance on responsible AI and be prepared to discuss your thoughts on ethical AI solutions and their importance in the industry.