Associate Product Manager, Data Accelerators

Wolters Kluwer Legal & Regulatory provides trusted content, software, analytics, and workflow solutions that help legal, regulatory, and compliance professionals make better decisions and improve outcomes.

As an Associate Product Manager, Data Accelerators, you will support the rapid discovery, design, prototyping, and validation of AI-powered product opportunities. This role is part of the Data Accelerators team, which helps explore the art of possible by converting customer problems, business ideas, and emerging workflow opportunities into working proof-of-concepts.

Unlike a traditional Associate Product Manager role, this position is highly execution-oriented. You will work closely with Product, Editorial, Engineering, Sales, Customer Success, subject matter experts, and customers to quickly test new ideas, demonstrate potential value, gather feedback, and help determine which concepts should progress toward the product roadmap.

This position requires strong product thinking, technical curiosity, customer empathy, practical AI knowledge, and the ability to move quickly from ambiguity to tangible outcomes.

Responsibilities

• Partner with Product Managers and business stakeholders to identify customer problems, workflow gaps, and high-value opportunities for AI-enabled solutions.
• Translate ambiguous business needs into clear problem statements, lightweight requirements, user flows, and proof-of-concept plans.
• Support customer discovery sessions, solution workshops, and internal innovation discussions.
• Build and iterate working AI-powered proof-of-concepts that demonstrate feasibility, user experience, and business value.
• Collaborate with Editorial and subject matter experts to understand domain content, validation needs, quality expectations, and user workflows.
• Apply practical AI approaches to support content enrichment, structured outputs, research workflows, review workflows, and decision-support use cases.
• Present prototypes and demos to internal stakeholders, customers, sales teams, and product leadership.
• Gather and synthesize feedback from users, customers, SMEs, and stakeholders to refine concepts and inform product direction.
• Create lightweight documentation covering workflow design, assumptions, risks, data needs, validation findings, and implementation considerations.
• Partner with Engineering to assess feasibility and support the transition of validated concepts into product planning.
• Work with Sales and Customer Success to support customer-facing innovation discussions and demonstrations.
• Identify reusable patterns, workflows, prompts, schemas, and solution approaches that can accelerate future Data Accelerator initiatives.
• Stay current with emerging AI capabilities and evaluate their relevance to legal, regulatory, compliance, and professional workflows.

Qualifications

·                Degree in Computer Science, Engineering, Information Systems, Data Science, Business, Product Management, or a related field required. Advanced degree or related AI/product experience a plus.

·                2–3 years of experience in product management, applied AI, data science, software development, solutions engineering, technical consulting, or a related innovation role.

• Experience building, supporting, or validating prototypes, demos, internal tools, or proof-of-concepts.
• Working understanding of generative AI and its practical application to business workflows.
• Ability to translate business problems into clear solution concepts and actionable requirements.
• Strong analytical, problem-solving, and communication skills.
• Ability to work cross-functionally with Product, Engineering, Editorial, Sales, and customer-facing teams.
• Comfortable operating in ambiguous environments where requirements, success criteria, and solution direction may evolve quickly.
• Strong individual contributor with a bias toward action, experimentation, and measurable outcomes.

Skills

• Product discovery and problem framing.
• Customer empathy and workflow analysis.
• Requirements gathering and solution definition.
• Rapid prototyping and iterative development.
• AI-enabled workflow design.
• Structured data and content analysis.
• Stakeholder management and cross-functional communication.
• Customer-facing presentation and demo storytelling.
• Feedback synthesis and product recommendation development.
• Technical documentation and solution handoff.
• Risk, assumption, and feasibility assessment.

Technical Experience

• Hands-on experience with AI-enabled workflows, prototypes, demos, or internal tools.
• Working knowledge of large language models, prompt design, structured outputs, and retrieval-based approaches.
• Familiarity with APIs, JSON, structured data, and lightweight automation.
• Exposure to scripting, data analysis, or application development using tools such as Python, JavaScript, or similar technologies.
• Ability to evaluate technical tradeoffs related to usability, data quality, security, scalability, performance, and maintainability.
• Practical use of AI tools to improve research, analysis, workflow automation, content processing, or prototype development.

Success Measures

• Delivery of working proof-of-concepts within accelerated timelines.
• Speed from idea intake to customer- or stakeholder-ready demonstration.
• Quality, clarity, and usefulness of prototypes and demos.
• Customer, SME, and stakeholder feedback on prototype value.
• Number of validated concepts progressing into roadmap or product planning discussions.
• Quality of documentation, handoff materials, and reusable solution patterns.
• Contribution to the Data Accelerators innovation pipeline and new workflow discovery.

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 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:

Wolters Kluwer offers a wide variety of competitive benefits and programs to help meet your needs and balance your work and personal life, including but not limited to: 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.