Senior Business Analyst, AI

Wolters Kluwer N.V.; Dallas (TX); On-site; USD 86,000 - 149,000; Full time

Benefits offered by this job

Medical benefits

401(k)

Tuition assistance

Paid parental leave

Job summary

Wolters Kluwer N.V. is seeking an AI / Agentic Product Owner in Dallas to own the post-release lifecycle and drive continuous optimization of agentic AI solutions.

You will manage the backlog, prioritize features, and coordinate with AI enablement, trainers, engineering, and business stakeholders to deliver business value. The role requires 7+ years in product ownership, familiarity with generative AI concepts, and the ability to translate feedback into prioritized work while balancing delivery

Qualifications

• 7+ years in Product Ownership, Business Analysis, or related roles
• Experience in Agile environments
• Experience coordinating across business, technology, QA, and stakeholders
• Preferred: AI/ML-enabled products or intelligent automation
• Foundational understanding of LLMs, RAG, and prompt-driven workflows

Responsibilities

• Own Post-Release Product Lifecycle and backlog
• Continuously evaluate product performance and improvements
• Drive backlog prioritization and release planning
• Coordinate with engineering, QA, AI Enablement, and Trainers
• Translate feedback into actionable backlog items
• Balance defects, AI performance, and feature requests

Skills

Backlog prioritization

Decision making

Cross-functional collaboration

AI/product sense

Stakeholder influence

Communication

Analytical thinking

Ambiguity management

Prioritization under constraints

Education

Bachelor’s Degree or equivalent experience

MBA or advanced degree (preferred)

Tools

AI/ML concepts knowledge

Job description

BASIC FUNCTION

The AI / Agentic Product Owner is responsible for post-release ownership and continuous optimization of agentic AI products. This role ensures that deployed AI solutions deliver ongoing business value through effective backlog management, prioritization, and cross-functional coordination. The Agentic Product Owner serves as the primary decision-maker for live AI products, translating feedback, performance signals, and business needs into prioritized work. This role partners closely with AI Enablement, AI Trainers, engineering, and business stakeholders to continuously refine agent behavior, improve outcomes, and scale AI capabilities. This role also requires a foundational understanding of generative AI concepts (e.g., LLMs, RAG, prompt behavior) to effectively manage AI-driven backlogs and product decisions.

ESSENTIAL DUTIES AND RESPONSIBILITIES

• Own Post-Release Product Lifecycle
  • Own and manage the post-release product backlog for agentic AI solutions
  • Continuously evaluate product performance and identify improvement opportunities
  • Ensure AI products evolve in alignment with business objectives and user needs
  • Drive ongoing optimization of AI capabilities after launch
• Backlog Management and Prioritization
  • Intake and triage feedback, bugs, and enhancement requests from stakeholders
  • Define, prioritize, and maintain a clear, actionable backlog
  • Balance competing priorities across defect resolution, AI performance improvements, and new features
  • Lead release planning and prioritization decisions for live AI products
  • Translate post-release feedback, usage patterns, defect trends, and business needs into prioritized backlog items
  • Make backlog trade-off decisions across multiple live agentic AI products, balancing urgency, business value, user impact, and delivery capacity
• Cross-Functional Coordination
  • Act as the central point of coordination across business stakeholders, engineering and QA teams, AI Enablement, and AI Trainers
  • Translate post-release feedback, business needs, and operational improvement opportunities into clear product requirements, user stories, and acceptance criteria
  • Ensure alignment on priorities, timelines, and expected outcomes
  • Coordinate with business SMEs, content owners, AI Enablement, AI Trainers, engineering, and QA to ensure backlog items are well understood and actionable
  • Facilitate prioritization discussions where feedback, defects, content gaps, AI behavior concerns, and enhancement requests compete for delivery capacity
• AI Performance and Feedback Integration
  • Collaborate with AI Trainers and AI Enablement to incorporate AI behavior analysis and performance insights into backlog decisions
  • Incorporate feedback into backlog prioritization
  • Ensure improvements are driven by user feedback, usage patterns, and quality issues
  • Leverage AI Trainer and AI Enablement expertise for analysis of agent behavior, prompt sensitivity, grounding issues, response quality, and improvement opportunities
  • Ensure AI-related issues are appropriately categorized, such as product defect, content gap, prompt/behavior issue, user experience gap, or training/adoption need
• Product Decision Ownership
  • Serve as the primary decision-maker for product direction, prioritization, and trade-offs
  • Ensure clear ownership of product outcomes post-launch
  • Own decisions regarding what gets fixed, enhanced, deferred, or escalated for live AI products
  • Partner with business sponsors and stakeholders to ensure post-release product decisions remain aligned to business value, user impact, and roadmap priorities
• Support Scalable Operating Model
  • Enable a distributed ownership model with clear backlog accountability per AI product
  • Contribute to scalable practices for managing multiple concurrent AI products
  • Effectively manage a portfolio of multiple live agentic AI products (typically 2–4 concurrently), balancing priorities across them
  • Help mature repeatable practices for intake, triage, prioritization, release planning, product health reviews, and transition to steady-state support

JOB QUALIFICATIONS

Education

• Bachelor’s Degree or equivalent experience
• Preferred:
  • Business, Technology, or related field
  • MBA or advanced degree

Experience

• 7+ years in Product Ownership, Business Analysis, or related roles
• Experience working in Agile environments
• Experience coordinating across business, technology, QA, and operational stakeholders
• Preferred Experience:
  • Experience working with AI/ML-enabled products or intelligent automation
  • Familiarity with AI behavior evaluation, prompt iteration, or model output analysis
  • Foundational understanding of generative AI concepts such as LLMs, retrieval-augmented generation (RAG), and prompt-driven workflows
  • Experience in platform, SaaS, or enterprise product environments
  • Experience translating user feedback, performance data, or support trends into actionable product improvements

Key Skills

• Strong prioritization and decision-making capability
• Ability to manage ambiguity in AI-driven systems
• Excellent communication and stakeholder influence
• Analytical thinking and problem solving
• Collaboration across business and technical teams
• Foundational understanding of how generative AI systems behave, including variability, hallucination risk, and prompt sensitivity
• Strong judgment in balancing user feedback, business value, AI quality concerns, and technical feasibility
• Ability to distinguish between product issues, content gaps, AI behavior issues, defects, and user adoption needs
• Ability to influence stakeholders and drive alignment without direct authority
• Comfort operating in a developing AI product model where standards, ownership, and practices continue to mature

Our Interview Practices

To maintain a fair and genuine hiring process, we kindly ask that all candidates participate in interviews without the assistance of AI tools or external prompts. Our interview process is designed to assess your individual skills, experiences, and communication style. We value authenticity and want to ensure we’re getting to know you—not a digital assistant. To help maintain this integrity, we ask to remove virtual backgrounds and include in-person interviews in our hiring process. Please note that use of AI-generated responses or third-party support during interviews will be grounds for disqualification from the recruitment process. Applicants may be required to appear onsite at a Wolters Kluwer office as part of the recruitment process.

Compensation

Compensation: $85,600.00 - $149,400.00 USD This role is eligible for Bonus. Compensation range listed is based on primary location of the position. Actual base salary offer is influenced by a wide array of factors including but not limited to skills, experience and actual hiring location. Your recruiter can share more information about the specific offer for the job location during the hiring process.

Additional Information

• Medical, Dental, & Vision Plans, 401(k), FSA/HSA, Commuter Benefits, Tuition Assistance Plan, Vacation and Sick Time, and Paid Parental Leave.
• Full details of our benefits are available upon request.

If making a difference matters to you, then you matter to us. Join us, at Wolters Kluwer, and be part of a dynamic global technology company that makes a difference every day. We’re innovators with impact. We provide expert software and information solutions that the world’s leading professionals rely on, in the moments that matter most. You’ll make a real difference in the lives of millions of people. Together with our customers, we help to advance sustainability, health, justice, prosperity, and commerce around the world. You can thrive at Wolters Kluwer, where diversity is core to our collective strength and high performance. Be your unique self, share your creative ideas, do your best work, and take time to grow in our caring and inclusive culture where you can belong. Wolters Kluwer reported 2025 annual revenues of €6.1 billion. The group serves customers in over 180 countries, maintains operations in over 40 countries, and employs more than 21,000 people worldwide. Our customers work in industries that impact the lives of millions of people every single day. Our mission is to empower our professional customers with the AI-powered solutions they need to make critical decisions, achieve successful outcomes, and increase productivity. We deliver trusted, AI-powered expert solutions that combine deep domain knowledge, proprietary content, and advanced technology to provide expert-validated insights, automate workflows, and drive better outcomes. Today, nearly 70% of our digital revenues come from AI-powered solutions, reflecting our strategic focus on embedding AI into professional workflows and delivering measurable productivity gains. We are committed to helping professionals navigate complexity, improve the way they work, and solve critical challenges through cloud-based, AI-powered platforms that integrate seamlessly into their workflows and ecosystems. Our solutions are designed to deliver impact when it matters most, especially in high‑stakes environments where accuracy and trust are essential. With a nearly 190-year legacy, Wolters Kluwer continues to evolve its portfolio of digital solutions and services to meet the changing needs of professionals worldwide, enabling them to work faster, make smarter decisions, and deliver better outcomes. For more information about our solutions and organization, visit www.wolterskluwer.com, or follow us on LinkedIn, Instagram and Facebook.

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