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Business Analysis Manager, AI Trainer

Job in Coppell, Dallas County, Texas, 75019, USA
Listing for: Wolters Kluwer
Full Time position
Listed on 2026-01-01
Job specializations:
  • IT/Tech
    AI Engineer, Data Analyst
Job Description & How to Apply Below

Wolters Kluwer is a global leader in professional information services. Professionals in the areas of legal, business, tax, accounting, finance, audit, risk, compliance and healthcare rely on Wolters Kluwer's market leading information-enabled tools and software solutions to manage their business efficiently, deliver results to their clients, and succeed in an ever more dynamic world.

The Business Analysis Manager
AI Trainer - for Wolters Kluwer (WK) - CT Corporation – leverages business and technology knowledge to support the organization’s Artificial Intelligence capability. This role will act as the human element in AI development, collaborating with machine learning engineers, data scientists and product to refine AI models, curate organizational data, and improve model accuracy.

In this role, you will report to the Director, Product Management and work a hybrid schedule (2 days in office, 3 days remote) from our local office.

Responsibilities Support the development of AI systems
  • Develop and leverage subject matter expertise on AI model source data sets.
  • Collaborate with machine learning engineering team on preparing, refining and labeling source data.
  • Collaborate with business stakeholders and analyze business needs to ensure AI capabilities support stated objectives.
  • Act as the liaison between business users and AI engineering teams.
  • Support development team activities, including user story creation and validation.
Create and focus on AI ‘gold’ data quality
  • Maintain high-quality, curated data to create and manage well-structured datasets for training AI models – ensuring its quality and performing continuous updates.
  • Cleaning data to remove errors and duplications, structuring it into a unified format, and ensuring it aligns with the organizations goals to prevent biased or unreliable model outputs.
  • Act as a quality control layer for AI interactions by reviewing, maintaining, and testing AI prompts to verify our AI models generate accurate, relevant and high-quality outputs. This includes analyzing AI responses for factual accuracy and bias, providing feedback to improve prompts, and updating training data to maintain model performance over time.
  • Support system archetypes by using data labeling and model evaluation skills to guide AI systems, ensuring they accurately perform tasks within a specific archetype function.
  • Evaluate the AI’s performance to help AI develop skills needed to embody its designated role, whether it’s to create, analyze or simply automate.
  • Partner with Agentic Engineers and Data Scientists to provide corrective feedback to AI models.
  • Rate AI-generated output for accuracy.
  • Shape language model responses to provide human-like interactions.
  • Collaborate with Content Teams to develop, refine, identify and translate source content data into objectives for the AI.
Maintain and Fine-tune AI models
  • Create and maintain documentation library of AI training processes, model improvements and metrics.
  • Participate in the complete AI system development lifecycle, supporting development and testing activities.
  • Support the continuous improvement of AI-generated output, performance, and model responses in the production environment.
Other Duties
  • Manage time and company resources appropriately.
  • Perform other duties as requested by the Director – Product Management.
Job Qualifications

Education:

Bachelor’s Degree or equivalent.

Preferred:
Bachelor’s Degree in Business, Information Technology or Master’s Degree in Business Administration.

Experience:

7+ years of experience in Operations, Sales, Product Development, Business Analysis, Project Management or other function that shows high organization and ability to execute.

  • Collecting, analyzing and managing large data sets.
  • Understanding how enterprise platforms (ERP, CRM, workflow, and financial applications) contribute to and support business objectives.
  • Participating in the software development lifecycle (e.g., Agile/SAFe, Waterfall).
  • Demonstrating strong analytical and problem-solving skills.
  • Collaborating across multiple internal teams (e.g., technical and business resources).
  • Communicating and influencing stakeholders, building relationships, and facilitating…
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