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Wolters Kluwer

Offers professional information, software, and services

Senior Business Analyst - AI

Full-TimeUpdated on 10/23/2026
$85.6k - $149.4k+ Bonus
Senior
Bachelor's, Master's, MBA
Dallas, TX, USA+2 moreMore locations: Chicago, IL, USA | Wilmington, DE, USA
HybridHybrid: 8 days/month in office at the listed locations; applicants may be required to attend an onsite interview.
ProductProduct Management
Company Historically Provides H1B Sponsorship

About the job

Requirements
  • A bachelor's degree or equivalent experience is required.
  • Seven or more years of experience in Product Ownership, Business Analysis, or related roles are required.
  • Experience working in Agile environments is required.
  • Experience coordinating across business, technology, QA, and operational stakeholders is required.
  • Strong prioritization and decision-making capability is required.
  • Ability to manage ambiguity in AI-driven systems is required.
  • Analytical thinking and problem-solving ability are required.
  • The role requires collaboration across business and technical teams.
  • The role requires foundational understanding of generative AI system behavior, including variability, hallucination risk, and prompt sensitivity.
  • The role requires judgment in balancing user feedback, business value, AI quality concerns, and technical feasibility.
  • The role requires ability to distinguish product issues, content gaps, AI behavior issues, defects, and user adoption needs.
  • The role requires ability to influence stakeholders and drive alignment without direct authority.
  • The role requires comfort operating in a developing AI product model where standards, ownership, and practices continue to mature.
Responsibilities
  • 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.
  • Intake and triage stakeholder feedback, bugs, and enhancement requests.
  • 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.
  • 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 subject matter experts, content owners, AI Enablement, AI Trainers, engineering, and QA so backlog items are understood and actionable.
  • Facilitate prioritization discussions where feedback, defects, content gaps, AI behavior concerns, and enhancement requests compete for delivery capacity.
  • 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 to analyze agent behavior, prompt sensitivity, grounding issues, response quality, and improvement opportunities.
  • Ensure AI-related issues are categorized as product defects, content gaps, prompt or behavior issues, user experience gaps, or training and adoption needs.
  • Serve as the primary decision-maker for product direction, prioritization, and trade-offs.
  • Ensure clear ownership of product outcomes after launch.
  • Own decisions about what gets fixed, enhanced, deferred, or escalated for live AI products.
  • Partner with business sponsors and stakeholders to keep post-release product decisions aligned to business value, user impact, and roadmap priorities.
  • Enable a distributed ownership model with clear backlog accountability per AI product.
  • Contribute to scalable practices for managing multiple concurrent AI products.
  • Manage a portfolio of typically two to four live agentic AI products concurrently, balancing priorities across them.
  • Help mature repeatable practices for intake, triage, prioritization, release planning, product health reviews, and transition to steady-state support.
Desired Qualifications
  • 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 large language models, retrieval-augmented generation, 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.
  • Business, technology, or related-field degree preferred.
  • MBA or advanced degree preferred.

About the company

Wolters Kluwer is a global provider of professional information, software solutions, and services for professionals in legal, business, tax, accounting, finance, audit, risk, compliance, and healthcare. Its products are offered on a subscription basis and include software tools and access to professional information, plus consulting and one-time reports. The software and information help clients improve financial performance, comply with regulations, and manage ESG and other risk areas; ESG solutions support sustainability goals and risk management. The company integrates software, content, and expert guidance rather than relying on a single product, and it operates in a specialized market with a strong emphasis on regulatory compliance and ethical practices. Wolters Kluwer’s goal is to help customers perform better, stay compliant with evolving rules, and manage risk in a responsible, transparent way.

Company Size

10,001+

Company Stage

IPO

Headquarters

Alphen aan den Rijn, Netherlands

Founded

1835

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Simplify's Take

What believers are saying

  • June 2026 OpenAI collaboration expands trusted Expert AI across healthcare, tax, legal.
  • August 2026 revenue grew four percent in constant currency, despite weaker reported euro translation.
  • September 2026 product launches in Wiz, CCH Axcess, and legal AI deepen workflow lock-in.

What critics are saying

  • Thomson Reuters and Harvey are racing legal AI, compressing Wolters Kluwer's pricing power.
  • The Uddin antitrust case exposed publisher scrutiny; similar claims can resurface quickly.
  • OpenAI dependence and model costs threaten margin expansion if AI usage scales faster than monetization.

What makes Wolters Kluwer unique

  • Wolters Kluwer's Expert AI blends proprietary content, expert validation, and governed workflows.
  • UpToDate, CCH Axcess, and LEX embed AI directly into regulated professional tasks.
  • Its LegalVIEW and compliance databases create switching costs competitors cannot easily match.

Help us improve and share your feedback! Did you find this helpful?

Benefits

  • Health Insurance
  • Dental Insurance
  • Vision Insurance
  • Life Insurance
  • Disability Insurance
  • Health Savings Account/Flexible Spending Account
  • Unlimited Paid Time Off
  • Flexible Work Hours
  • Hybrid Work Options
  • Paid Vacation
  • Paid Sick Leave
  • Paid Parental Leave

Growth & Insights and Company News

6 month growth

-1%

1 year growth

1%

2 year growth

1%
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IFFCO Tokio picks Wolters Kluwer's CCH Tagetik for Ind AS 117 and Ind AS 116 compliance

IFFCO Tokio General Insurance has chosen Wolters Kluwer's CCH Tagetik platform to meet Ind AS 117 and Ind AS 116 reporting requirements, the companies announced in Mumbai on October 26, 2026. The move comes as India's insurance sector prepares to adopt Ind AS 117, the country's insurance contracts accounting standard, which is aligned with IFRS 17. The standard aims to improve transparency, comparability, and governance across insurers. IFFCO Tokio will use CCH Tagetik as a single platform for both standards, disclosures, and financial reporting. It will replace fragmented reporting processes and aim to improve data accuracy, governance, and audit readiness. "As insurers address increasingly complex reporting needs, the ability to bring multiple standards onto a single platform becomes essential," said Nishant Vyas, general manager of CCH Tagetik India at Wolters Kluwer.

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Oct 16th, 2026
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Congress extended disaster tax relief. Which returns deserve a second look? Published October 16, 2026, 1:16 p.m. EDT Updated October 16, 2026, 5:02 p.m. EDT If your clients suffered disaster losses or expect wildfire settlements, their returns deserve a second look. Intuit's new program connects industry experts with accounting students to bridge the talent gap and prepare them for CAS careers. Of counsel Mark Friedlich, Esq., CPA, is the former vice president of U.S. government affairs at Wolters Kluwer Tax & Accounting and now leads Friedlich Law... Read full bio

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Oct 15th, 2026
Wolters Kluwer enhances Genya Expert AI: automated bank reconciliation for Italian accounting firms.

Wolters Kluwer enhances Genya Expert AI: automated bank reconciliation for Italian accounting firms. Wolters Kluwer launches Genya Riconciliazione Estratti Conto on October 15, 2026: AI-powered bank statement reconciliation for Italian studi professionali. Impact analysis. Wolters Kluwer Tax & Accounting Italia announced on October 15, 2026 two new Expert AI capabilities in its Genya cloud suite for Italian accounting firms (studi professionali): a natural language conversational interface and Genya Riconciliazione Estratti Conto, an automated bank reconciliation module that interprets transactions and suggests invoice-to-supplier matches (ChannelTech.it, October 15, 2026). Both capabilities extend the group's Expert AI strategy, which combines generative, agentic, and domain-specific AI across its vertical product lines. Stocker en ligne A mature market held back by a persistent manual task. Italy's studi professionali market - accounting firms, tax advisors, and business consultants - is among Europe's most advanced in digital compliance. Since the mandatory e-invoicing requirement via the SDI system came into force in 2019, these firms have built operational expertise that few European markets can match. Yet bank reconciliation has remained one of the last major time-consuming manual tasks: line-by-line comparison of bank statements against accounting records, identification of unmatched transactions, and reclassification of ambiguous transaction descriptions. For a firm managing several SME clients, this is repetitive work that consumes accountant time on low-value-added tasks. Wolters Kluwer is drawing on more than ten years of AI investment for this release (ChannelTech.it). Adoption evidence already exists on the same platform: Genya Dichiarativi Expert AI, launched in March 2026, was adopted by approximately 2,500 studi professionali in its first 60 days, generating nearly 50,000 queries (ibid.). That figure signals genuine demand among Italian firms for AI capabilities embedded directly in their practice management tools. Practical impact for accounting firms and their SME clients. Two features, two distinct productivity gains. The conversational interface lets practitioners query their accounting data in natural language without leaving their workflow in Genya. Rather than navigating between screens to find a client balance or check a payment deadline, the professional asks a question and receives a contextualised answer. For a firm handling dozens of files simultaneously, this directly reduces navigation time on routine lookup tasks. Genya Riconciliazione Estratti Conto goes further: the module interprets bank transactions along with associated data (clients, suppliers, amounts, invoices, due dates) to automatically suggest matches within Genya. Sergio Liscia, VP and General Manager of Wolters Kluwer Tax & Accounting Italia, summarises the ambition: "AI becomes truly useful when it stops being perceived as a separate technology and integrates naturally into professionals' daily work" (ChannelTech.it). For a CFO or accounting manager processing bank statements in volume, the operational value is clear: automating transaction matching frees time for variance analysis, supplier dispute resolution, and higher-value advisory work. Human oversight remains necessary - the module proposes, the accountant validates. In the competitive studi professionali market, this announcement positions Wolters Kluwer against TeamSystem and Zucchetti, both of which have launched their own AI initiatives in this segment. Zucchetti, the national market leader with over 700,000 clients (zucchetti.it), and TeamSystem have invested heavily in their digital offerings. Differentiation now comes down to the depth of AI integration within existing business workflows, not the breadth of core functional coverage. What to watch. The real test will be matching quality in production. An automated reconciliation module only delivers operational value if the match rate is high enough to reduce manual work without introducing more errors to correct than it resolves. Maintaining the reference data corpus - suppliers, recurring transaction descriptions, chart of accounts - will be critical to long-term reliability. The coming weeks of production usage feedback, particularly from firms managing clients with complex banking flows, will be the true performance indicator. Choisir un ERP Never miss its ERP guides. Get expert insights to run a successful ERP project and avoid the costly pitfalls.

IT Digest
Oct 13th, 2026
Wolters Kluwer integrates conversational AI into Genya for professional services and smes.

Wolters Kluwer integrates conversational AI into Genya for professional services and smes. Wolters Kluwer Tax & Accounting announced multiple new AI functionalities in Genya, its cloud suite for Italian tax and accounting professionals, such as a new chat experience and automated bank statement reconciliation. Powered by Expert AI, the conversational interface allows professionals to query data, information and knowledge in natural language, and to receive clarifications, insights and contextual support directly within their workflow. Genya Bank Statement Reconciliation, also powered by Expert AI, allows the platform to automatically interpret bank transactions and related information, including customers, suppliers, amounts, invoices and due dates, and suggests potential matches. "Artificial intelligence becomes truly useful when it fades into the background as technology and integrates naturally into the way professionals work," said Sergio Liscia, Vice President & General Manager, Wolters Kluwer Tax & Accounting Europe Region South. "With Genya Expert AI, we are making it easier to access the firm's information, while keeping the professional firmly at the center of the decision-making process and reducing the operational steps involved in their daily activities." The launch of these new AI functionalities demonstrates what embedded AI looks like in practice: not a separate tool for individual tasks, but a capability built into day-to-day processes, freeing professionals to focus on higher-value advisory work. Part of a global Expert AI strategy These new capabilities expand the work already started with Genya Dichiarativi Expert AI, launched in March 2026, which allows professionals to query ministerial guidance in natural language while completing tax declarations, drawing exclusively on authoritative official sources rather than requiring them to search lengthy external documents. In its first 60 days, Genya Dichiarativi Expert AI was used by around 2,500 professional firms, generating almost 50,000 questions. Wolters Kluwer's Expert AI strategy is shaped by more than a decade of AI investment and innovation. It combines generative, agentic and domain-specific capabilities with deep expertise and close collaboration with customers and technology partners, helping professionals work faster and make smarter decisions based on trusted, verified content. Responsibility and final judgement always remain with the professional, consistent with Wolters Kluwer's responsible AI principles.