Product Management Director

Wolters Kluwer•New York City, NY

About The Position

The Product Management Director defines and executes product strategy for a product domain, portfolio segment, customer workflow, or business capability within the Health Research Segment. The role translates customer, buyer, market, workflow, and business insight into product direction, priorities, and measurable outcomes. The Director uses customer insight, product judgment, experimentation, and product telemetry to guide investment decisions and improve customer and business outcomes. The Director leads adoption of AI-enabled ways of working and the Agentic Product Development Life Cycle across the domain, working closely with Engineering, Design, Product Marketing, Sales, Customer Success, Finance, Operations, and domain experts. The role owns strategy, priorities, commercial performance, and outcomes for Health Research, and helps teams deliver differentiated products, platforms, and experiences. Success is measured by customer value creation, adoption, business outcomes, product quality, and the strength of products and teams. The position operates with substantial autonomy, with guidance primarily on consequential strategic, financial, or organizational matters. It makes or recommends decisions affecting portfolio direction, investment priorities, customer experience, operating practices, and cross-functional commitments, balancing long-term strategy with near-term execution.

Requirements

Bachelor's degree or equivalent practical experience.
Significant Product Management experience in enterprise software, SaaS, information services, or similarly complex technology environments.
Experience using AI to accelerate customer understanding, insight synthesis, experimentation, and product execution while maintaining human judgment.
Hands-on experience shipping products and experiences.
Demonstrated success defining product strategy and translating customer, market, workflow, and business insight into measurable outcomes.
Experience leading across multiple products, teams, or customer workflows.
Experience coaching Product Managers or improving product capability across teams.
Demonstrated success driving adoption of modern Product Management practices, operating-model evolution, or AI-enabled ways of working.
Experience building, launching, or scaling AI-enabled products and integrating AI into product-development practices.
Experience partnering effectively across Engineering, Design, Product Marketing, Sales, Customer Success, Finance, Operations, and senior stakeholders.
Deep customer orientation and ability to translate professional workflow understanding into product and business outcomes.
Ability to guide teams in selecting customer-research methods, evaluating evidence quality, and synthesizing insight across a product domain.
Strong product judgment and ability to make decisions under uncertainty while balancing customer value, business value, technical feasibility, and risk.
Strong strategic, commercial, and financial acumen, including product strategy, monetization, forecasting, prioritization, and investment decisions.
Strong understanding of modern Product Management practices, including discovery, experimentation, product telemetry, adoption, and value realization.
Working fluency in AI-enabled product development and use of AI to accelerate learning, decision-making, and execution.
Ability to lead outcomes in a complex, matrixed organization by aligning cross-functional teams, resolving dependencies, and influencing without direct authority.
Strong communication and influence skills, adapting messages for customers, librarian buyers, product teams, functional partners, and senior stakeholders.
Ability to coach others and foster accountability, experimentation, continuous learning, and customer focus.

Nice To Haves

Advanced degree or relevant professional certifications are beneficial but not required.

Responsibilities

Develop a deep understanding of professionals served, their workflows, buyer preferences, and relevant market forces; use this insight to shape product strategy and priorities.
Use customer evidence, experimentation, product telemetry, and business performance to make product and investment decisions and adjust direction as evidence emerges.
Own product strategy, priorities, commercial performance, and outcomes for Health Research; align investment, roadmaps, and teams to measurable outcomes.
Validate customer value, competitive differentiation, and willingness to pay before scaling investment; use adoption, usage, retention, expansion, and financial performance to improve results after launch.
Partner with relevant functions on commercialization, forecasts, and corrective action when outcomes fall short.
Scale AI-enabled ways of working and Agentic Product Development Life Cycle practices across the domain.
Align Product, Engineering, Design, Product Marketing, domain experts, Sales, Customer Success, Operations, and Finance around shared outcomes; resolve dependencies and clarify priorities and ownership.
Raise the bar for customer understanding, product judgment, experimentation, product craft, and AI-enabled practice; coach Product Managers where applicable and improve team practices and capabilities.
Define and champion product vision, portfolio strategy, and multi-year roadmaps for customer-facing platforms, research products, workflow solutions, and AI-enabled capabilities.
Contribute to business strategy by translating market dynamics, customer needs, technology trends, and portfolio performance into strategic choices and investment priorities.
Identify and solve complex product, market, workflow, and operating-model problems that may affect business direction or performance.
Lead visible cross-functional programs and create alignment among senior leaders and stakeholders on vision, priorities, business cases, sequencing, resources, risks, and outcomes.
Guide multidisciplinary teams—including product managers, domain experts, AI data scientists, AI engineers, designers, and matrixed development resources—in creating adaptable roadmaps from technology capabilities, customer insight, and competitive intelligence.
Manage rapid, evidence-based experiments using emerging AI technologies and trusted content to test product concepts, agentic research workflows, prompts, evaluation rubrics, and experience designs.
Establish a repeatable path for transferring advances in generative AI, language models, machine learning, and text and data mining into core product roadmaps, with appropriate evaluation, governance, and lifecycle ownership.
Lead market research, contextual inquiry, customer discovery, segmentation, competitive intelligence, and industry analysis to identify needs, differentiation opportunities, partnerships, and threats.
Define target users, jobs to be done, user journeys, product requirements, value propositions, success measures, and learning agendas for workflow solutions and product lines.
Engage customers, librarian buyers, subject-matter experts, strategic partners, and external stakeholders to validate opportunities, shape product design, and strengthen market relevance and credibility.
Negotiate with senior internal and external stakeholders to influence decisions, resolve competing priorities, and secure support for strategic product initiatives.
Communicate strategy, roadmap, investment rationale, performance, risks, dependencies, and recommended decisions to executives.
Establish product-management practices and performance measures that improve prioritization, execution quality, transparency, adoption, engagement, and business results.
Coach and develop Product Managers, strengthen AI product-management skills, and improve the quality and consistency of product practice.
Partner with Marketing and Sales on positioning, launch readiness, customer communication, enablement, and strategic opportunities; represent Product Management in relevant customer and industry forums.
Represent Product Management in portfolio planning, financial and development planning, releases, operational reviews, and product maintenance decisions.
Influence senior leaders, peers, partners, customers, and subject-matter experts through evidence-based recommendations, clear narratives, and constructive negotiation.
Balance customer value, business value, feasibility, risk, responsible AI considerations, and speed through transparent trade-offs.