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 managing cutting-edge AI-enabled products.
- Qualifications: Experience in product management and leading 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 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, diversity, and inclusion. With competitive salaries and a commitment to professional development, Wiley empowers its employees to make meaningful contributions to the healthcare sector.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Manager, Product Management
✨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 role-playing with a friend to boost your confidence and refine your answers.
✨Tip Number 3
Showcase your expertise! Bring examples of your past work, especially those involving AI and data analytics, to the interview. This will help you stand out as a candidate who knows their stuff.
✨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, it shows you’re genuinely interested in joining our team.
We think you need these skills to ace Senior Manager, Product Management
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.
Showcase Your Achievements:Don’t just list your responsibilities; showcase your achievements! Use metrics where possible to demonstrate how you’ve successfully delivered against product roadmaps or improved team performance.
Be Clear and Concise:When writing your application, be clear and concise. Avoid jargon unless it’s relevant to the role. We want to see your ability to communicate complex concepts simply, especially since you'll be working with non-technical stakeholders.
Apply Through Our Website:We encourage you to apply through our website for a smoother process. It helps us keep track of your application and ensures you’re considered for the role without any hiccups!
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 product features like LLM integration. Be ready to discuss technical trade-offs and architecture decisions you've made in past roles, as this will show your strong technical depth.
✨Communicate Clearly with Stakeholders
Practice explaining complex product concepts in simple terms. You might be asked to communicate how AI capabilities can enhance products without adding unnecessary complexity. Being able to convey these ideas clearly will impress interviewers and show your stakeholder management skills.
