Lead Product Manager

Formula Recruitment
London
2 weeks ago
Applications closed

Related Jobs

View all jobs

Head of Product Management

Product Manager

IT Service Management Lead

Senior Technical Architect - Utilities (6 month FTC)

Director of Engineering - Advanced Analytics

Director of Data Engineering

Lead Product Manager (Interim FTC)

Salary: £90,000 - £110,000 (plus benefits)

Location: London | Hybrid

***URGENT HIRE – APRIL START***


Why join?


You’ll be joining a leading provider of a cloud-based platform solution that works with some of the world’s largest banks to better manage their non-financial risk. They combine industry expertise with innovative technology to transform how financial institutions approach risk management. Their solutions particularly focus on helping firms meet regulatory requirements while optimizing their control environments.


You will be..

As Lead Product Manager, you'll collaborate with clients and team members to identify problems and develop solutions through the product. Reporting to the Chief Product Officer, you'll define quarterly objectives, manage product roadmaps, and track key metrics.


A key part of your role as Lead Product Manager, will include facilitating user workshops, working with designers, engineers, and data scientists to develop solutions, leading cross-functional teams, prioritizing workloads, driving innovation, and collaborating across departments to maximize product impact.


You'll support the company's Product vision and strategy, work with QA engineers on quality testing, and manage a Junior Product Manager. The role requires maintaining a culture of excellence aligned with the company's values while delivering high-quality solutions for financial institutions.


You should apply if..

• You have worked in a technical B2B environment (preferably in Fintech)

• You enjoy working on complex products and thrive in a data-driven environment

• You have a keen interest and understanding of data engineering, data science and AI

• You have solved hard problems in your previous roles, by collaborating with cross-functional teams well and inspiring your team

• You are able to communicate complex technology solutions to a wide variety of audiences with differing technical abilities


Sound like you?


Send your CV to

Get the latest insights and jobs direct. Sign up for our newsletter.

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

Industry Insights

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

Negotiating Your Data Science Job Offer: Equity, Bonuses & Perks Explained

Data science has rapidly evolved from a niche specialty to a cornerstone of strategic decision-making in virtually every industry—from finance and healthcare to retail, entertainment, and AI research. As a mid‑senior data scientist, you’re not just running predictive models or generating dashboards; you’re shaping business strategy, product innovation, and customer experiences. This level of influence is why employers are increasingly offering compensation packages that go beyond a baseline salary. Yet, many professionals still tend to focus almost exclusively on base pay when negotiating a new role. This can be a costly oversight. Companies vying for data science talent—especially in the UK, where demand often outstrips supply—routinely offer equity, bonuses, flexible work options, and professional development funds in addition to salary. Recognising these opportunities and effectively negotiating them can have a substantial impact on your total earnings and long-term career satisfaction. This guide explores every facet of negotiating a data science job offer—from understanding equity structures and bonus schemes to weighing crucial perks like remote work and ongoing skill development. By the end, you’ll be well-equipped to secure a holistic package aligned with your market value, your life goals, and the tremendous impact you bring to any organisation.

Data Science Jobs in the Public Sector: Exploring Opportunities Across GDS, NHS, MOD, and More

Data science has emerged as one of the most influential fields in the 21st century, transforming how organisations make decisions, improve services, and solve complex problems. Nowhere is this impact more visible than in the UK public sector. From the Government Digital Service (GDS) to the National Health Service (NHS) and the Ministry of Defence (MOD), government departments and agencies handle vast amounts of data daily to support the well-being and security of citizens. For data enthusiasts looking to make a meaningful contribution, data science jobs in the public sector can offer rewarding roles that blend innovation, large-scale impact, and societal benefit. In this comprehensive guide, we’ll explore why data science is so pivotal to government, the roles you might find, the skills needed, salary expectations, and tips on how to succeed in a public sector data science career.

Contract vs Permanent Data Science Jobs: Which Pays Better in 2025?

Data science sits at the intersection of statistics, machine learning, and domain expertise, driving crucial business decisions in almost every sector. As UK organisations leverage AI for predictive analytics, customer insights, and automation, data scientists have become some of the most in-demand professionals in the tech job market. By 2025, data scientists with expertise in deep learning, natural language processing (NLP), and MLOps are commanding top-tier compensation packages. However, deciding whether to become a day‑rate contractor, a fixed-term contract (FTC) employee, or a permanent member of an organisation can be challenging. Each path offers a unique blend of earning potential, career progression, and work–life balance. This guide will walk you through the UK data science job market in 2025, examine the differences between these three employment models, present sample take‑home pay scenarios, and offer strategic considerations to help you determine the best fit for your career.