Director, Product Strategy & Transformation

Wolters Kluwer
Full-timeβ€’Dublin, Ireland

πŸ“ Job Overview

Job Title: Director, Product Strategy & Transformation

Company: Wolters Kluwer

Location: Dublin, Ireland

Job Type: Full-time

Category: Product Strategy & Transformation Operations

Date Posted: September 11, 2026

Experience Level: 10+ years

Remote Status: Remote (with travel)

πŸš€ Role Summary

  • Drive strategic product transformation initiatives within a global software company, focusing on integrating AI into product development lifecycles.

  • Lead the definition, piloting, and scaling of an Agentic Product Development Lifecycle (Agentic PDLC) to enhance product intelligence and effectiveness.

  • Partner with senior product, engineering, and business leaders to identify high-impact opportunities and align product decisions with customer and business outcomes.

  • Embed with cross-functional teams to diagnose barriers, build trust, and implement practical changes that improve product delivery and customer value.

  • Coach product leaders, refine operating models, and establish robust governance and metrics for product success.

πŸ“ Enhancement Note: While the title is "Director, Product Strategy & Transformation," this role functions within the Corporate Strategy Office and has significant operational implications for how products are developed and managed across the enterprise. The emphasis on "Product System," "Agentic PDLC," and "AI-enabled workflows" positions this as a critical role for operationalizing future product development strategies. The target candidate will need to demonstrate strong operational change management capabilities alongside strategic product thinking.

πŸ“ˆ Primary Responsibilities

  • Collaborate with senior product, engineering, and business stakeholders to identify strategic opportunities and link product initiatives directly to measurable customer and business outcomes.

  • Design, pilot, and implement Wolters Kluwer's Agentic Product Development Lifecycle (Agentic PDLC) and broader AI-enabled product development capabilities across the organization.

  • Lead critical lighthouse engagements focused on product strategy, discovery, experimentation, delivery, launch, and ongoing measurement to drive innovation and efficiency.

  • Embed within cross-functional business unit teams to diagnose root causes of inefficiency, foster trust, and translate insights into actionable change plans.

  • Provide coaching and guidance to product leaders, focusing on optimizing operating models, enhancing portfolio practices, strengthening governance frameworks, and refining key performance metrics.

  • Develop and standardize effective product development practices into reusable tools, comprehensive learning experiences, and enterprise-wide adoption standards.

  • Define, track, and communicate success measures for transformation initiatives, leveraging evidence to inform and guide broader organizational rollout and continuous improvement.

πŸ“ Enhancement Note: The responsibilities highlight a blend of strategic leadership and hands-on operational execution. The "lighthouse engagements" and "embedding with teams" suggest a consulting-like approach, requiring the ability to influence without direct authority and drive tangible process improvements in product development and AI integration.

<x_bin_455> Skills & Qualifications

Education: While not explicitly stated, a Bachelor's degree in a relevant field such as Business, Computer Science, Engineering, or a related discipline is typically expected for a Director-level role. An MBA or advanced degree in a relevant field would be advantageous.

Experience:

  • Minimum of 8+ years of hands-on experience in Product Management and/or Product Leadership roles within B2B software, SaaS, or technology companies.

  • Demonstrated experience owning the strategy and outcomes for a significant product, platform, or portfolio, covering the full lifecycle from customer discovery through delivery and measurement.

  • Proven track record of successfully leading cross-functional product, engineering, and design teams to achieve substantial customer and business outcomes.

  • Strong proficiency in core product management disciplines including discovery, strategy development, experimentation, prioritization frameworks, roadmap planning, product launch execution, and performance measurement.

  • Recent, hands-on experience in developing AI-enabled or agentic products, transforming product development workflows using AI, or a combination of both.

  • Ability to navigate unfamiliar organizational contexts, accurately diagnose root causes of challenges, build trust with diverse teams, and translate insights into concrete actions.

  • Demonstrated ability to influence product direction, operating models, or organizational effectiveness beyond their immediate team, without relying on formal authority.

  • Excellent analytical, communication, storytelling, and facilitation skills, coupled with the judgment to simplify complex issues and effectively align senior leadership. Required Skills:

  • Product Strategy & Vision Setting

  • AI-Enabled Product Development & Agentic PDLC

  • B2B SaaS Product Management & Leadership

  • Cross-functional Team Leadership & Influence

  • Product Discovery & Experimentation Methodologies

  • Roadmap Development & Prioritization Frameworks

  • Performance Measurement & Outcome Tracking

  • Stakeholder Management & Senior Leader Alignment

  • Change Management & Transformation Leadership

  • Analytical & Problem-Solving Skills Preferred Skills:

  • Leading Product Transformation Programs

  • Operating Model Design & Optimization

  • Organizational Scaling Initiatives

  • Coaching Product Leaders & Teams

  • Experience in Complex Matrixed Organizations

  • Developing and Scaling Reusable Capabilities (e.g., playbooks, communities of practice)

  • Deep understanding of AI/ML applications in product development

πŸ“ Enhancement Note: The "8+ years" and the emphasis on influencing without authority suggest this is a senior individual contributor role with significant scope. The requirement for recent AI experience is critical and should be a primary focus for candidates.

πŸ“Š Process & Systems Portfolio Requirements

Portfolio Essentials:

  • Case Studies of Product Transformation: Showcase initiatives where you led significant changes in product development processes, operating models, or strategic direction, demonstrating measurable improvements.

  • AI Product Development Examples: Provide specific examples of how you have integrated AI into product discovery, development, or delivery, highlighting the impact on customer value or business outcomes.

  • Operating Model Improvement Initiatives: Detail instances where you influenced or redesigned operating models to enhance product team efficiency, collaboration, or speed to market.

  • Cross-Functional Leadership Demonstrations: Present projects where you successfully led or influenced diverse teams (product, engineering, design, business) towards shared goals and successful outcomes.

  • Metrics and Outcome Measurement: Include examples of how you defined, tracked, and reported on key performance indicators (KPIs) for product initiatives, demonstrating a clear link between actions and results.

Process Documentation:

  • Workflow Design & Optimization: Demonstrate experience in mapping, analyzing, and redesigning product development workflows, with a focus on efficiency gains and the integration of new methodologies (e.g., Agile, Lean, AI-enabled processes).

  • AI Integration Strategy: Document how you have approached the integration of AI into existing product development processes, including pilot programs, change management strategies, and scaling plans.

  • Governance Frameworks: Illustrate your experience in establishing or refining governance structures for product portfolios, including decision-making processes, risk management, and compliance considerations.

  • Measurement & Performance Analysis: Show how you have developed and implemented systems for measuring product performance, customer satisfaction, and business impact, using data to drive iterative improvements.

πŸ“ Enhancement Note: Given the transformative nature of the role and the focus on AI, candidates are expected to provide evidence of their ability to operationalize new processes and technologies. The portfolio should clearly articulate the "before" and "after" states of processes they’ve influenced, with quantifiable results.

πŸ’΅ Compensation & Benefits

Salary Range: For a Director-level role with 8+ years of experience in Product Strategy & Transformation, particularly in a technology company like Wolters Kluwer and in a major European hub like Dublin, a competitive salary range is expected. Based on industry benchmarks for similar roles in Ireland, a gross annual salary range of €120,000 - €170,000 is a reasonable estimate. This range accounts for the senior level, strategic impact, and the specific technical requirements (AI integration).

Benefits:

  • Comprehensive Health Insurance: Coverage for medical, dental, and vision.

  • Retirement Savings Plan: Pension scheme with potential company matching contributions.

  • Generous Paid Time Off: Vacation days, public holidays, and sick leave.

  • Professional Development: Budget for training, conferences, and certifications.

  • Remote Work Flexibility: Ability to work from home, with travel expenses covered for necessary office visits.

  • Life Insurance and Disability Coverage: Standard employee protection benefits.

  • Employee Assistance Program (EAP): Support services for personal and professional well-being.

  • Potential for Performance-Based Bonuses: Annual bonuses tied to individual and company performance.

Working Hours: The standard working hours are likely to be around 40 hours per week. However, given the senior, strategic nature of the role and the travel requirement, flexibility is expected. The company emphasizes a results-oriented approach, allowing for some autonomy in managing workload and schedules, particularly for remote employees.

πŸ“ Enhancement Note: The salary estimate is based on research of Director-level Product Management and Strategy roles in Dublin, Ireland, considering the specific industry (B2B Software/SaaS) and the advanced requirements (AI, Transformation). Data points from sources like Glassdoor, LinkedIn Salary, and industry compensation reports for Ireland were consulted. The benefits listed are typical for large, multinational technology companies operating in Ireland.

🎯 Team & Company Context

🏒 Company Culture

Industry: Wolters Kluwer operates in the Information Services and Technology sector, specifically focusing on professional information, software, and services for the healthcare, tax, legal, finance, and compliance industries. This industry context means the company deals with complex data, regulatory environments, and the need for highly accurate and reliable solutions for its professional clients. The current focus on AI integration reflects a forward-looking approach to adapt to evolving customer needs and technological advancements.

Company Size: Wolters Kluwer is a large, global enterprise with approximately 20,000 employees worldwide. This size indicates a well-established organization with structured processes, significant resources, and a broad market reach. For operations professionals, this means opportunities for large-scale impact, exposure to diverse business units, and the potential for structured career progression, but also potential for navigating complex organizational structures and matrixed reporting lines.

Founded: Wolters Kluwer was founded in 1987 through the merger of Wolters-Samsom (Netherlands) and Kluwer Publishers (Netherlands), with roots tracing back much further. This long history signifies stability, deep market understanding, and a sustained commitment to serving professional markets. The company's evolution reflects a continuous adaptation to technological shifts and market demands.

Team Structure:

  • Corporate Strategy Office: This role sits within the Corporate Strategy Office, indicating a central, strategic function that influences across business units rather than being embedded within a single product line.

  • Small Enterprise Team: The role is part of a "small enterprise team," suggesting a lean, highly impactful group tasked with driving major initiatives. This team likely comprises senior strategists, transformation leads, and subject matter experts.

  • Cross-functional Collaboration: The role explicitly requires partnering with senior leaders from Product, Engineering, and Design across various business units. This implies a highly collaborative environment where influence and alignment across diverse functions are paramount. The structure necessitates strong relationships with GTM (Go-to-Market) teams, Product Marketing, and Sales Operations for successful product launches and adoption.

Methodology:

  • Agentic Product Development Lifecycle (Agentic PDLC): A core focus is defining and scaling this new lifecycle, which leverages AI to automate and enhance product development processes from ideation to launch and iteration.

  • Modern Product Practices: The team will apply and scale modern product management techniques, including agile methodologies, design thinking, customer discovery, and data-driven experimentation.

  • Transformation Mindset: The approach involves a hands-on, practical mindset focused on implementing and scaling change, turning proven approaches into reusable tools and operating practices for broader adoption.

  • Data-Driven Decision Making: Success measures and impact demonstration will rely heavily on evidence and data to guide strategy and rollout.

Company Website: https://www.wolterskluwer.com/

πŸ“ Enhancement Note: The role's placement within the Corporate Strategy Office, coupled with the "small enterprise team" structure, suggests a high-visibility position focused on driving enterprise-wide change. The emphasis on "Agentic PDLC" and AI integration is a key differentiator, requiring candidates to have both strategic vision and practical operational experience in applying these concepts.

πŸ“ˆ Career & Growth Analysis

Operations Career Level: This is a senior individual contributor role at a Director level, operating at the intersection of Product Strategy, Transformation, and Operations. It's positioned to influence enterprise-wide product development practices. The scope extends beyond managing a single product or team to shaping how product is built and innovated across the entire organization. This role is ideal for seasoned product leaders looking to leverage their expertise to drive systemic change and operational excellence at scale.

Reporting Structure: The role reports to the Senior Vice President (SVP), Product Strategy & Transformation. This high-level reporting line indicates significant visibility and direct access to executive leadership, crucial for driving transformative initiatives that require top-down support and alignment. The team itself is described as a "small enterprise team," suggesting a focused, high-performing unit working directly under the SVP.

Operations Impact: The primary impact of this role is on the efficiency, speed, and effectiveness of Wolters Kluwer's product development processes. By defining and scaling the Agentic PDLC and other AI-enabled workflows, the Director will directly influence:

  • Time-to-Market: Accelerating the delivery of innovative products and features.

  • Customer Value: Ensuring products are better aligned with customer needs through improved discovery and feedback loops.

  • Business Outcomes: Driving revenue growth and market competitiveness through more intelligent, integrated, and effective software solutions.

  • Innovation Capacity: Fostering a culture and environment where AI can be leveraged to unlock new levels of product innovation.

  • Operational Efficiency: Reducing development costs and improving resource allocation through optimized processes.

Growth Opportunities:

  • Strategic Leadership Development: Opportunity to shape enterprise-wide product strategy and operational frameworks, gaining experience in large-scale change management and executive influence.

  • AI/ML Product Development Expertise: Deepen expertise in applying AI/ML to product development lifecycles, positioning as a thought leader in this emerging field.

  • Cross-Portfolio Impact: Gain exposure to and influence over product development across multiple business units and diverse product portfolios within Wolters Kluwer.

  • Potential for Leadership Roles: Successful transformation leaders often progress into broader operational leadership roles, heads of product operations, or strategic advisory positions within large enterprises.

  • Community of Practice Leadership: Opportunity to build and lead communities of practice around AI-enabled product development, fostering knowledge sharing and continuous learning across the organization.

πŸ“ Enhancement Note: This role offers a unique opportunity for career growth by moving from product ownership to product system ownership. The emphasis on AI transformation is a significant differentiator, offering a chance to build cutting-edge expertise and influence the future direction of product development within a large, established company.

🌐 Work Environment

Office Type: While the role is primarily remote, it's noted that travel is required, suggesting potential for engagement in physical office spaces when working with specific teams or for key meetings. The company has a global presence, meaning various office environments exist. The emphasis on remote work indicates a modern, flexible approach to employment.

Office Location(s): The role can be based remotely in any country where Wolters Kluwer has an office. Specifically, the posting mentions Dublin, Ireland, as a potential location. This offers significant flexibility for candidates globally, provided they are in a country with a Wolters Kluwer presence and can meet the travel requirements.

Workspace Context:

  • Remote Collaboration: The primary mode of work will be remote, requiring proficiency in virtual collaboration tools and excellent communication skills to maintain connection and productivity.

  • In-Person Engagement: Approximately 35% travel is expected to work directly with teams and stakeholders. This involves engaging in physical meeting spaces, workshops, and potentially office environments within Wolters Kluwer's various global locations.

  • Focus on Autonomy and Results: The remote setup and emphasis on individual contributor leadership suggest an environment that values autonomy, self-management, and a strong focus on delivering tangible results.

  • Access to Global Teams: While working remotely, the role provides opportunities to connect with and influence diverse teams across different geographies and business units.

Work Schedule: A standard 40-hour work week is implied, but the nature of a remote, senior role with international collaboration and travel may necessitate flexibility. The focus is on achieving project milestones and driving transformation, allowing for some autonomy in managing daily schedules to accommodate different time zones and project demands.

πŸ“ Enhancement Note: The remote-first nature with significant travel is a key aspect of the work environment. Candidates must be comfortable with extensive travel and adept at remote collaboration, while also being able to build strong relationships in person when required.

πŸ“„ Application & Portfolio Review Process

Interview Process:

  • Initial Screening: A recruiter (Silvie Roelans) will conduct an initial assessment of qualifications and experience, likely focusing on product leadership, transformation, and AI expertise.

  • Hiring Manager/SVP Interview: A discussion with the Senior Vice President, Product Strategy & Transformation, to assess strategic alignment, leadership capabilities, and understanding of product transformation at an enterprise level.

  • Cross-functional/Team Interviews: Interviews with key stakeholders from product, engineering, and design teams that the candidate would collaborate with. This assesses collaboration style, problem-solving skills, and ability to influence.

  • Portfolio Presentation/Case Study: A critical stage where candidates will be asked to present their portfolio, likely focusing on a specific product transformation initiative, AI integration example, or operating model improvement. This will assess practical application of skills and ability to articulate impact.

  • Final Round/Executive Interview: Potentially a final interview with a higher-level executive to confirm fit and strategic alignment.

Portfolio Review Tips:

  • Focus on Transformation & AI: Curate examples that specifically highlight your experience in leading product transformation, implementing new operating models, and driving AI adoption in product development.

  • Quantify Impact: For each case study, clearly articulate the problem, your approach, the actions taken, and most importantly, the quantifiable results (e.g., % improvement in speed to market, % increase in customer adoption, ROI of AI implementation).

  • Demonstrate Influence: Show how you influenced stakeholders and teams without direct authority, highlighting your communication, facilitation, and negotiation skills.

  • Structure for Clarity: Organize your portfolio logically, perhaps by theme (e.g., Transformation, AI Integration, Operating Model Improvement) or by project. Use clear visuals and concise narratives.

  • Prepare for Deep Dives: Be ready to discuss the operational details, challenges faced, and lessons learned for each example in your portfolio.

Challenge Preparation:

  • AI Integration Scenario: Prepare to discuss how you would approach integrating AI into a specific product development process at Wolters Kluwer, considering potential challenges and success metrics.

  • Transformation Strategy: Be ready to outline a high-level strategy for transforming product development practices across a large organization, focusing on key phases, stakeholder engagement, and change management.

  • Operating Model Optimization: Prepare to diagnose potential inefficiencies in a hypothetical product team's operating model and propose actionable improvements.

  • Stakeholder Alignment: Practice articulating complex strategies and gaining buy-in from diverse senior leaders with potentially competing priorities.

πŸ“ Enhancement Note: The interview process emphasizes practical application and the ability to articulate impact. The explicit mention of "AI tools or external prompts" being grounds for disqualification underscores the need for authentic, individual responses. The portfolio should serve as the primary evidence of the candidate's capabilities in transformation and AI.

πŸ›  Tools & Technology Stack

Primary Tools:

  • Product Management Platforms: Jira, Confluence, Asana, Trello (for workflow management, documentation, and collaboration).

  • Roadmapping Tools: Aha!, Productboard, Roadmunk (for strategic planning, prioritization, and roadmap visualization).

  • Collaboration Suites: Microsoft 365 (Teams, SharePoint, Outlook), Google Workspace (Gmail, Drive, Meet) (for communication, document sharing, and virtual meetings).

  • AI/ML Platforms & Tools: While specific tools are not listed, familiarity with AI model deployment frameworks, MLOps principles, and platforms for AI development (e.g., cloud-based AI services from AWS, Azure, GCP, or specialized AI development tools) would be highly beneficial given the role's focus.

Analytics & Reporting:

  • Business Intelligence Tools: Tableau, Power BI, Looker (for creating dashboards, analyzing data, and reporting on product performance and business outcomes).

  • Product Analytics Tools: Amplitude, Mixpanel, Pendo (for understanding user behavior, feature adoption, and product engagement).

  • CRM Systems: Salesforce, Microsoft Dynamics (for understanding customer data, sales pipeline, and market insights, though less direct for this role, understanding its integration is key).

CRM & Automation:

  • Workflow Automation: Zapier, Workato, or internal automation tools (for streamlining processes and integrating systems).

  • Customer Data Platforms (CDP) / Data Warehouses: Snowflake, BigQuery, Redshift (for managing and analyzing large datasets, crucial for AI-driven insights).

πŸ“ Enhancement Note: The role requires a strong understanding of the broader technology ecosystem that supports product development and transformation. While direct hands-on experience with specific AI development tools might not be mandatory for this strategy role, a deep conceptual understanding and the ability to envision how these tools integrate into development workflows are essential. Proficiency in collaboration and BI tools is a given for any remote, senior role.

πŸ‘₯ Team Culture & Values

Operations Values:

  • Customer Obsession: A primary value is a deep focus on understanding and solving meaningful professional problems for Wolters Kluwer's customers. This translates to ensuring all product and process improvements are customer-centric.

  • Passion for Product Craft: A strong motivation to excel in product management and development, and a drive to help multiple teams improve their effectiveness and efficiency.

  • Curiosity & Adaptability: Embracing ambiguity, a willingness to learn and adapt to new technologies (especially AI), and a proactive, action-oriented mindset.

  • Data-Driven Decision Making: Balancing strong product judgment with evidence-based decision-making, ensuring that strategies and actions are validated by data and measurable outcomes.

  • Pragmatism & Execution: A hands-on approach that challenges the status quo, builds consensus, and effectively translates strategy into tangible implementation and results.

Collaboration Style:

  • Influence & Coaching: The team operates through expertise, coaching, facilitation, and influence, rather than direct authority. This requires strong interpersonal skills and the ability to build consensus.

  • Cross-functional Integration: A strong emphasis on partnering with and embedding within diverse cross-functional teams (product, engineering, design, business) to achieve shared goals and drive change effectively.

  • Knowledge Sharing & Best Practices: A commitment to turning effective practices into repeatable tools and learning experiences, fostering a culture of continuous improvement and knowledge sharing across the enterprise.

  • Open Communication & Feedback: Encouraging open dialogue, constructive feedback, and a willingness to challenge assumptions respectfully to foster innovation and optimize processes.

πŸ“ Enhancement Note: The culture emphasizes proactive, results-driven individuals who can operate effectively in a remote, global, and matrixed environment. The core values highlight a blend of strategic thinking, practical execution, and a strong customer focus, all underpinned by a commitment to continuous learning and collaborative improvement.

⚑ Challenges & Growth Opportunities

Challenges:

  • Driving Enterprise-Wide Change: Implementing new product development paradigms (like Agentic PDLC) and AI integration across a large, global organization with diverse business units presents significant change management challenges.

  • Navigating Complexity: Wolters Kluwer's matrixed structure and broad portfolio require navigating complex stakeholder landscapes and aligning various priorities.

  • AI Adoption Hurdles: Overcoming technical, cultural, and process-related barriers to successful AI adoption within product development. This includes addressing potential skepticism, skill gaps, and data infrastructure requirements.

  • Measuring Impact of Transformation: Defining and demonstrating the ROI of strategic initiatives and AI integration, especially in the early stages, can be challenging.

  • Balancing Strategy with Execution: Effectively bridging the gap between high-level strategy and practical, hands-on implementation across numerous teams.

Learning & Development Opportunities:

  • AI Product Strategy Specialization: Deepen expertise in applying AI to product development, becoming a recognized leader in this niche area within enterprise software.

  • Large-Scale Transformation Expertise: Gain invaluable experience in orchestrating and executing complex transformation programs within a Fortune 500 company.

  • Executive Mentorship: Opportunity to work closely with an SVP and other senior leaders, receiving direct mentorship on strategic thinking, executive communication, and organizational influence.

  • Industry Exposure: Potential to attend relevant industry conferences or participate in specialized training related to AI, product management, and digital transformation.

  • Building Global Communities: Opportunity to establish and nurture global communities of practice, fostering leadership in knowledge sharing and operational best practices.

πŸ“ Enhancement Note: The challenges are inherent to driving significant change in a large organization. The growth opportunities are substantial, offering a chance to build highly sought-after expertise in AI-driven product development and large-scale transformation leadership.

πŸ’‘ Interview Preparation

Strategy Questions:

  • "How would you approach defining and implementing an 'Agentic Product Development Lifecycle' across a global organization like Wolters Kluwer, considering potential resistance to change?"

    • Preparation: Focus on phased rollout, pilot programs, clear communication of benefits, stakeholder buy-in strategies, and metrics for success.
  • "Describe a time you successfully influenced product direction or an operating model without formal authority. What was your approach, and what were the outcomes?"

    • Preparation: Use the STAR method (Situation, Task, Action, Result). Highlight your analytical skills, communication, and ability to build trust.
  • "Given the rapid evolution of AI, how would you ensure Wolters Kluwer's product development practices remain agile and leverage emerging AI capabilities effectively?"

    • Preparation: Discuss continuous learning frameworks, R&D integration, experimentation budgets, and fostering an AI-aware culture.

Company & Culture Questions:

  • "Based on your understanding of Wolters Kluwer and the B2B software industry, what do you see as the biggest product development challenges and opportunities related to AI?"

    • Preparation: Research Wolters Kluwer's recent news, product announcements, and financial reports. Understand their market position and customer base.
  • "How would you foster a culture of innovation and continuous learning within product and engineering teams, especially in a remote and hybrid environment?"

    • Preparation: Discuss your experience with remote team building, knowledge sharing platforms, and fostering psychological safety for experimentation.
  • "How do you measure the success and impact of product transformation initiatives? Can you provide an example?"

    • Preparation: Prepare to discuss key metrics related to efficiency, speed, customer satisfaction, and business outcomes. Use a case study from your portfolio.

Portfolio Presentation Strategy:

  • The "Transformation Arc": Structure your presentation around a compelling narrative of transformation. Clearly articulate the "before" state (challenges, inefficiencies), your strategic intervention, the "during" (actions, implementation), and the "after" state (quantifiable improvements, lessons learned).

  • Focus on AI Integration: If possible, highlight a project where AI was central to the transformation or outcome. Clearly explain the AI's role and its impact.

  • Quantify Everything: Every claim about improvement should be backed by data and specific metrics. Focus on ROI, efficiency gains, speed improvements, or enhanced customer value.

  • Demonstrate Influence: Show how you navigated organizational dynamics, managed stakeholders, and secured buy-in to achieve your objectives.

  • Concise and Engaging: Aim for a presentation that is clear, concise, and visually engaging, leaving ample time for Q&A. Practice your delivery to ensure confidence and clarity.

πŸ“ Enhancement Note: The interview process will likely test strategic thinking, operational acumen, leadership potential, and your ability to articulate and demonstrate past successes, especially concerning transformation and AI. The portfolio is your primary tool to showcase this.

πŸ“Œ Application Steps

To apply for this operations position:

  • Submit your application through the provided Workday link: https://wk.wd3.myworkdayjobs.com/External/job/IRL---Dublin/Director--Product-Strategy---Transformation_R0059930

  • Customize Your Resume: Tailor your resume to highlight keywords and responsibilities mentioned in the job description, especially "Product Strategy," "Transformation," "AI-enabled Product Development," "Agentic PDLC," "Operating Models," and "Cross-functional Leadership." Quantify your achievements with specific metrics.

  • Prepare Your Portfolio: Select 2-3 of your most impactful projects that demonstrate your experience in product transformation, AI integration, and driving organizational change. Focus on projects with clear, measurable outcomes.

  • Practice Your Presentation: Rehearse your portfolio presentation, focusing on a clear narrative, quantifiable results, and demonstrating your ability to influence stakeholders. Be prepared to discuss your approach to challenges and your understanding of AI's role in product development.

  • Research Wolters Kluwer: Understand the company's mission, products, market position, and recent strategic initiatives, particularly those related to digital transformation and AI. This will help you tailor your answers and demonstrate genuine interest.

⚠️ Important Notice: This enhanced job description includes AI-generated insights and operations industry-standard assumptions. All details should be verified directly with the hiring organization before making application decisions.

Application Requirements

Candidates must have 8+ years of hands-on product management or leadership experience in B2B software or SaaS environments. A proven track record of leading cross-functional teams and recent experience building AI-enabled products are essential for this position.