At a Glance
- Tasks: Lead product management for Wiley's innovative Clinical Outcome Assessment platform.
- Company: Join Wiley, a leader in AI and Data Analytics with a collaborative culture.
- Benefits: Competitive salary, inclusive workplace, and opportunities for professional growth.
- Other info: Dynamic role with excellent career advancement opportunities in a regulated environment.
- Why this job: Make a real impact in healthcare by delivering cutting-edge AI-enabled products.
- Qualifications: Experience in product management and managing engineering teams is essential.
The predicted salary is between 58400 - 84333 € per year.
We are looking for a Senior Manager, Product Management to lead the product function for Wiley's Clinical Outcome Assessment (COA) platform suite, part of our AI and Data Analytics organisation. The role owns the multi‑product roadmap for our COA platform portfolio, including the foundational COA database that holds Wiley's clinical measurement intellectual property, and a suite of customer‑facing platform products that surface, score, and contextualise that content for pharmaceutical and CRO customers. The role manages an offshore engineering team and works closely with our scientific affairs, commercial, and AI specialists to translate clinical and customer needs into deliverable product. The role reports to the Senior Director, Clinical Outcome Assessments.
Job Responsibilities
- Own and maintain the multi‑product roadmap for the COA platform suite, sequenced against commercial milestones and supported by clear prioritisation criteria.
- Manage an offshore engineering team, including hiring, performance management, capability development, and day‑to‑day operating model across time zones.
- Lead end‑to‑end product delivery, from discovery and definition through release, instrumentation, and iteration based on customer feedback and product analytics.
- Partner with engineering on architecture, technology choices, and AI‑enabled features, including LLM integration, retrieval, and content tooling.
- Work alongside scientific affairs, commercial, and the broader AI and Data Analytics product community to ensure platform decisions are clinically sound, commercially relevant, and aligned with shared standards.
- Own data integrity, intellectual property handling, and data privacy controls across the platform suite, including alignment with regulatory expectations for clinical measurement.
Required Qualifications
- Bachelor's degree or equivalent professional experience.
- Significant product management experience on B2B software platforms, data products, or specialist enterprise applications.
- Demonstrated track record managing engineering teams, including offshore or distributed teams.
- Experience owning a multi‑product roadmap and delivering against committed milestones.
- Direct experience shipping AI‑enabled product features, such as LLM integration, retrieval‑based applications, or other generative or predictive AI capabilities.
- Working knowledge of AI and machine learning tooling, including vector databases and LLM‑based product patterns.
- Sound judgement on where AI capability genuinely improves a product versus where it adds risk or complexity without proportionate value.
- Strong technical depth: comfortable with architecture conversations, build versus buy decisions, and technical trade‑offs.
- Strong stakeholder management and the ability to communicate complex product and technical concepts to non‑technical audiences.
Preferred Qualifications
- Postgraduate degree in computer science, life sciences, health informatics, or business.
- Direct experience in clinical research, healthcare data, life sciences, or pharmaceutical platforms.
- Experience working with Clinical Outcome Assessment (COA) tools, electronic COA (eCOA), or real world evidence.
- Familiarity with healthcare data standards (FHIR, HL7, CDISC) and clinical data structures.
- Familiarity with model evaluation, prompt engineering, and AI safety considerations in product contexts.
- Understanding of copyright and intellectual property frameworks for clinical content.
- Experience working in regulated data environments (clinical, healthcare, pharmaceutical).
Senior Manager, Product Management in London employer: Wiley
Wiley is an exceptional employer, offering a dynamic work environment in the heart of London where innovation meets collaboration. As a Senior Manager in Product Management, you will have the opportunity to lead cutting-edge projects within our Clinical Outcome Assessment platform, while benefiting from a culture that prioritises employee growth and development. With a commitment to diversity and inclusion, Wiley fosters a supportive atmosphere that encourages creativity and professional advancement, making it an ideal place for those seeking meaningful and rewarding careers.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Manager, Product Management in London
✨Tip Number 1
Network like a pro! Reach out to folks in your industry on LinkedIn or at events. A friendly chat can lead to opportunities that aren’t even advertised yet.
✨Tip Number 2
Prepare for interviews by practising common questions and scenarios related to product management. We recommend using the STAR method to structure your answers – it’s all about showcasing your experience effectively!
✨Tip Number 3
Showcase your passion for AI and data analytics during interviews. Share specific examples of how you’ve integrated these technologies into your previous projects – it’ll set you apart from the crowd!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who are proactive about their job search!
We think you need these skills to ace Senior Manager, Product Management in London
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the Senior Manager, Product Management role. Highlight your experience with B2B software platforms and managing engineering teams, as these are key aspects of the job. We want to see how your background aligns with our needs!
Showcase Your Achievements:Don’t just list your responsibilities; showcase your achievements! Use metrics and specific examples to demonstrate how you’ve successfully managed product roadmaps or delivered AI-enabled features. This helps us see the impact you've made in previous roles.
Be Clear and Concise:When writing your application, clarity is key. Use straightforward language and avoid jargon where possible. We appreciate a well-structured application that makes it easy for us to understand your qualifications and fit for the role.
Apply Through Our Website:We encourage you to apply through our website for the best chance of being considered. It’s the easiest way for us to track your application and ensure it gets to the right people. Plus, it shows you’re serious about joining our team!
How to prepare for a job interview at Wiley
✨Know Your Product Inside Out
Before the interview, dive deep into Wiley's Clinical Outcome Assessment (COA) platform. Understand its features, benefits, and how it serves pharmaceutical and CRO customers. This knowledge will help you articulate your vision for the product roadmap and demonstrate your passion for the role.
✨Showcase Your Leadership Skills
Be prepared to discuss your experience managing offshore engineering teams. Share specific examples of how you've handled performance management and capability development across time zones. Highlight your ability to lead end-to-end product delivery while collaborating with diverse teams.
✨Demonstrate Technical Savvy
Brush up on your understanding of AI and machine learning tooling, especially in relation to LLM integration and data privacy controls. Be ready to discuss technical trade-offs and how they impact product decisions. This will show that you're not just a manager but also a knowledgeable partner in technical discussions.
✨Communicate Clearly with Stakeholders
Practice explaining complex product concepts in simple terms. You’ll need to communicate effectively with both technical and non-technical audiences. Prepare examples of how you've successfully managed stakeholder expectations and aligned product decisions with clinical and commercial needs.
