At a Glance
- Tasks: Lead the development of innovative AI data products and strategies.
- Company: Join a leading user-generated video marketplace with a unique content library.
- Benefits: Competitive salary, hybrid working, and a comprehensive benefits package.
- Other info: Be part of a diverse team committed to inclusivity and support.
- Why this job: Shape the future of AI data products and make a significant impact.
- Qualifications: Experience in product management and strong data analytics skills required.
The predicted salary is between 80000 - 100000 £ per year.
Our client is a leading user-generated video marketplace, with an extensive video library of unique content. As demand for high-quality AI training data accelerates, they are uniquely positioned to transform this library into valuable datasets, metadata, and annotation products for AI companies. We are looking for a commercially-minded technology leader to build the data products and platforms that will drive their next stage of growth. It is essential that you have hands-on experience of delivering data-driven products.
The opportunity
Reporting to the CEO, you will own the vision, strategy, and execution of the AI data product roadmap. Leading both technology and data functions, you will work at the intersection of product, engineering, AI, operations, and commercial teams to transform their collection of user-generated video into scalable, commercially valuable data products. As a scale-up, the role combines this strategic ownership with hands-on work to create datasets.
This is a highly strategic role that combines product development, data strategy, and technology leadership. It is an ideal step-up for a product management professional with a strong data analytics background.
What you’ll be doing
- Data Product Strategy & Development: Define and own the AI data product strategy and roadmap, driving product-market fit through customer engagement and continuous product improvement. Develop scalable metadata, annotation, taxonomy, and dataset solutions aligned with customer needs.
- Technology & Product Leadership: Lead the technology and data functions, ensuring resources are aligned to strategic priorities. Shape technology investment and architecture to support future growth. Own product prioritisation, roadmap planning, and delivery execution.
- Customer & Market Engagement: Act as the primary product-facing representative to AI customers. Conduct customer discovery sessions to understand training data requirements and emerging market opportunities. Monitor developments across AI, machine learning, computer vision, robotics, and multimodal AI and update the wider business.
What we’re looking for
- Proven experience in Product Management, Product Ownership, Data Products, Technology Leadership, or a related field.
- A track record of delivering data-driven products from concept through launch and growth.
- Experience working closely with engineering and technical teams.
- Strong stakeholder management and commercial decision-making skills.
- Experience defining product strategy, managing roadmaps, and balancing competing priorities.
- Ability to translate customer requirements into scalable product solutions.
- It is not essential to have worked in an AI focused role or environment previously, but you must have strong hands-on data analytics skills.
What’s on offer
- A unique opportunity to shape and deliver the data product strategy in this ambitious scale-up business.
- Work at the intersection of AI, data, technology, and media.
- Create products with significant long-term commercial impact.
- Influence overall company strategy alongside the executive team.
Our client offers a competitive salary, hybrid working, and a comprehensive benefits package. Apply now to learn more. Our client is committed to building a team where everyone feels welcome and supported, regardless of race, gender, age, religion, identity, or background. If you need accommodations during the process, just let us know.
StudySmarter Expert Advice🤫
We think this is how you could land Head of Data Products in City of London
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We think you need these skills to ace Head of Data Products in City of London
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!
Craft a Tailored Cover Letter:For a full-time role at Talent Gateway, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Talent Gateway. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at Talent Gateway
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
✨Showcase Your Projects
Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at Talent Gateway!
✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
