Director of Product - City of London

City of London
9 months ago
Applications closed

Related Jobs

View all jobs

Data science programme lead

Vice President, Head of Discovery Data Science

Freelance Spatial AI and Machine Learning Consulta - Remote

Senior Manager, Data Science - eBay Live

Data Science Lead / Manager

Data Science and Innovation Manager

Director of Product - City of London

Salary £(phone number removed)

Hybrid working
Director of Product for a leading client based in London. My client is seeking a Director of Product to lead the clients digital product strategy and execution. The role involves creating innovative solutions that enhance patient experiences and support healthcare professionals. Responsibilities include translating business goals into digital products, leading product management teams, and setting industry standards. Collaboration with engineering, data science, and AI teams is essential to leverage technical capabilities and gain a competitive edge. Develop and execute the digital product strategy in line with business objectives and the technology roadmap.
Key skills and responsibilities,

Extensive experience in product management, including leadership positions
Demonstrated success in bringing digital products from concept to market
Proficient in managing product teams and implementing robust product development methodologies
Strong expertise in user-centered design and customer experience principles
Skilled in agile development practices and leading cross-functional teams
Ability to translate business strategy into product roadmaps
Analytical skills with experience using data to drive product decisions
Experience working with technical teams to develop complex digital solutions
Identify opportunities to use technology for developing new business models and revenue streams
Facilitate the integration of patient-facing and internal operational systems
Develop strategies for digital engagement throughout the patient journey
Collaborate with business units to assess and prioritize digitization opportunities
Stakeholder management and communication skills
Familiarity with healthcare digital transformation trends and technologies
Proven experience with SaaS and multi-platform product development
Background in mobile application development and web-based solutions
Understanding of data privacy regulations in healthcare
Experience with product analytics tools and methodologiesInterested? Please submit your updated CV to Dean Sadler-Parkes at Crimson for immediate consideration.
Not interested? Do you know someone who might be a perfect fit for this role? Refer a friend and earn £250 worth of vouchers!
Crimson is acting as an employment agency regarding this vacancy

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

How Many AI Tools Do You Need to Know to Get an AI Job?

If you are job hunting in AI right now it can feel like you are drowning in tools. Every week there is a new framework, a new “must-learn” platform or a new productivity app that everyone on LinkedIn seems to be using. The result is predictable: job seekers panic-learn a long list of tools without actually getting better at delivering outcomes. Here is the truth most hiring managers will quietly agree with. They do not hire you because you know 27 tools. They hire you because you can solve a problem, communicate trade-offs, ship something reliable and improve it with feedback. Tools matter, but only in service of outcomes. So how many AI tools do you actually need to know? For most AI job seekers: fewer than you think. You need a tight core toolkit plus a role-specific layer. Everything else is optional. This guide breaks it down clearly, gives you a simple framework to choose what to learn and shows you how to present your toolset on your CV, portfolio and interviews.

What Hiring Managers Look for First in AI Job Applications (UK Guide)

Hiring managers do not start by reading your CV line-by-line. They scan for signals. In AI roles especially, they are looking for proof that you can ship, learn fast, communicate clearly & work safely with data and systems. The best applications make those signals obvious in the first 10–20 seconds. This guide breaks down what hiring managers typically look for first in AI applications in the UK market, how to present it on your CV, LinkedIn & portfolio, and the most common reasons strong candidates get overlooked. Use it as a checklist to tighten your application before you click apply.

The Skills Gap in AI Jobs: What Universities Aren’t Teaching

Artificial intelligence is no longer a future concept. It is already reshaping how businesses operate, how decisions are made, and how entire industries compete. From finance and healthcare to retail, manufacturing, defence, and climate science, AI is embedded in critical systems across the UK economy. Yet despite unprecedented demand for AI talent, employers continue to report severe recruitment challenges. Vacancies remain open for months. Salaries rise year on year. Candidates with impressive academic credentials often fail technical interviews. At the heart of this disconnect lies a growing and uncomfortable truth: Universities are not fully preparing graduates for real-world AI jobs. This article explores the AI skills gap in depth—what is missing from many university programmes, why the gap persists, what employers actually want, and how jobseekers can bridge the divide to build a successful career in artificial intelligence.