# Senior Business Analyst -Technical at Wolters Kluwer

Wolters Kluwer is hiring a Senior Business Analyst -Technical. It pays $71k-$125k a year and Level rates it Uses AI ●●○○; you can [apply on Wolters Kluwer](https://jobsbylevel.com/go/b2139bf2-354a-4598-914f-34e65923c8e4?utm_medium=ai-agent).

AI Level 2, AI centrality 49 out of 100. USA - Coppell, TX.

## Details

- Company: [Wolters Kluwer](https://jobsbylevel.com/companies/wolters-kluwer)
- AI level: AI Level 2 (score 49 out of 100)
- Location: USA - Coppell, TX
- Salary: $71k-$125k
- Posted: November 6, 2026
- Apply: https://jobsbylevel.com/go/b2139bf2-354a-4598-914f-34e65923c8e4?utm_medium=ai-agent
- Free CV review for this job: https://jobsbylevel.com/cv-review?job=senior-business-analyst-technical-at-wolters-kluwer-c52b29

## Prepare for this job

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## Description

The Senior Technical Business Analyst – Product Engineering is responsible for translating business objectives into detailed, development-ready technical requirements while enabling modern engineering practices such as Spec-Driven Development, AI-assisted software engineering, and AI-powered product innovation. This role serves as a critical bridge between Product Management, Business Stakeholders, Architects, and Engineering teams. The ideal candidate combines strong business analysis expertise with technical acumen and the ability to leverage AI tools to reverse engineer existing applications, discover business rules, generate specifications, validate requirements, and support AI-enabled product development. The individual will play a key role in modernizing how requirements are gathered, documented, validated, and maintained throughout the Software Development Lifecycle (SDLC). They will help establish structured specifications that improve developer productivity, reduce ambiguity, accelerate delivery, and support AI-assisted development workflows. Key Responsibilities Partner with Product Management, Engineering, Architects, UX, and Business Stakeholders to understand business objectives and translate them into actionable technical requirements. Elicit, analyze, document, and validate functional and non-functional requirements. Create detailed user stories, use cases, business process flows, acceptance criteria, and technical specifications. Ensure requirements are complete, traceable, testable, and aligned with business outcomes. Facilitate requirement workshops, stakeholder reviews, and backlog refinement sessions. Spec-Driven Development Enablement Author and maintain engineering-ready specifications that can be consumed by development teams, architects, QA teams, and AI-assisted development tools. Define detailed functional behaviors, workflows, business rules, data models, integration requirements, and API contracts. Create structured specifications that support automated generation of engineering artifacts and development tasks. Establish requirement templates, standards, and governance practices for Spec-Driven Development. Collaborate with engineering teams to convert requirements into implementation-ready technical work items. Drive requirement quality and completeness to reduce delivery risk and rework. Utilize AI-assisted tools to analyze and reverse engineer existing applications, workflows, APIs, databases, and business processes. Identify undocumented business rules, technical dependencies, workflow variations, and integration patterns. Convert legacy functionality into modern technical specifications and future-state requirements. Support modernization initiatives by documenting current-state and target-state processes, systems, and architectures. Collaborate with engineering and architecture teams to build reusable knowledge repositories and functional documentation. Leverage AI tools to accelerate requirement discovery, documentation, analysis, traceability, and validation activities. Use AI-powered techniques to generate user stories, acceptance criteria, process flows, test scenarios, and technical specifications. Evaluate AI-generated outputs for accuracy, completeness, consistency, and business relevance. Develop and refine prompts that improve requirement generation, analysis, and engineering productivity. Establish best practices for responsible use of AI throughout the requirements lifecycle. Prompt Engineering & AI Feature Definition Develop structured prompts and workflows for business and engineering use cases. Collaborate with Product and AI teams to define requirements for AI-powered product capabilities. Create prompts, evaluation criteria, guardrails, and business validation rules for AI solutions. Support design and validation of Generative AI, conversational AI, intelligent search, recommendation systems, and workflow automation features. Define expected behaviors, user interactions,

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Source: https://jobsbylevel.com/jobs/senior-business-analyst-technical-at-wolters-kluwer-c52b29

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