Director of Data Products

MultiVerse
London
2 months ago
Applications closed

Related Jobs

View all jobs

Sales Director - UK

Pricing Director

Sales Account Manager

Senior Scientist / Scientist

Data-Driven Forecasting Analyst – (Pharmaceutical Consultancy)

Senior Manager Marketing Data & Insights Strategy

We’re on a mission to provide equitable access to economic opportunity, for everyone.We close critical skill gaps in the workforce through a new kind of apprenticeship that combines work and learning. We begin by recognizing high-potential individuals both inside and outside of a company's current workforce and then we create applied, guided and equitable learning programs, with measurable impact. Because we believe the world needs a better way to match its potential.We work with over 1,500 leading companies including the likes of Microsoft, Citi and Just Eat to help solve their business-critical problems, and we’ve trained over 16,000 professional apprentices in the tech and data skills of the future. This is made possible by our global team who are driven to achieve a mission that matters, together.Join Multiverse and help us set a new course for work.As Director of Data Products , you will oversee the tools, processes & people that form the foundation of Multiverse's internal data products (including our interactive data tools, self-service data sources & other internally-facing processed data assets). You will develop and implement our approach to fostering data alignment, accessibility, analysis & action through highly usable data products that enhance every aspect of our business - helping ensure we become an ever-more data-literate and insight-informed organisation.This role sits within the Data & Insight team, reporting to the VP of Data & Insight, alongside our Director of Data Engineering & Director of Data Science. You will collaborate closely with leaders across all of Multiverse's business and technology teams. Success in this role requires a thoughtful, innovative, and pragmatic approach. You will balance technical expertise with people management - bringing hands-on technical capabilities when needed.

While professional experience and qualifications are key for this role, make sure to check you have the preferable soft skills before applying if required.

What you'll focus on:

Leadership & Strategy* Developing & implementing our vision for leveraging data products to enhance business & product decision making* Ensuring our data products approach fully aligns with and supports our wider business objectives* Managing & developing our team of data products specialists - including Data Product Managers & Analytics Developers* Fostering knowledge sharing and skill development around data product development & management* Building and growing our team through thoughtful recruitment & onboarding* Contributing thought leadership on data product development & management both internally and externally* Collaborating on leadership initiatives within the broader Data & Insight team and Tech organisation

Data Product Management* Developing and steering our overall data product roadmap based on business impact* Creating frameworks to understand and translate stakeholder needs into effective data products* Establishing clear processes for gathering requirements and defining success criteria* Developing scalable approaches for colleagues to interact sustainably with our data products* Fostering high adoption and impact through comprehensive documentation, training, support & monitoring

Technical Development* Managing our data products technology stack to optimize for clarity, usability, performance, security, efficiency & scalability* Establishing & implementing technical design & development best practices* Monitoring & assessing relevant technologies/processes to identify opportunities & address potential gaps* Evaluating & implementing new technologies that enhance our data products capabilities

Collaboration* Working closely with Data & Insight leadership on priorities, resourcing & problem solving* Building strong partnerships with business leaders to define key metrics and reporting needs* Engaging with Product leadership on alignment of product management approaches* Maintaining open communication with Information Security & Data Privacy/Protection teams* Managing external technical partnerships as needed

What we're looking for:Required Experience & Skills* 10+ years of relevant data product development & management experience* 5+ years of experience leading high-performing data teams* Demonstrated success embedding data products within dynamic organisations* Track record of balancing business insight with product analytics needs in technology organisations* Hands-on experience with Tableau (and ideally Metabase)* Working knowledge of SQL (and ideally dbt)* Interest in emerging analytics trends (e.g. AI-powered tools & features)* History of delivering high quality results against important goals and timelines* Experience developing and motivating teams of technical specialists* Strong collaboration skills across both technical and non-technical stakeholders* Pragmatic, solutions-oriented mindset with ability to navigate challenges effectively* Strong attention to detail* Dedication to Multiverse's mission and values

#J-18808-Ljbffr

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.

10 Ways AI Pros Stay Inspired: Boost Creativity with Side Projects, Hackathons & More

In the rapidly evolving world of Artificial Intelligence (AI), creativity and innovation are critical. AI professionals—whether data scientists, machine learning engineers, or research scientists—must constantly rejuvenate their thinking to solve complex challenges. But how exactly do these experts stay energised and creative in their work? The answer often lies in a combination of strategic habits, side projects, hackathons, Kaggle competitions, reading the latest research, and consciously stepping out of comfort zones. This article will explore why these activities are so valuable, as well as provide actionable tips for anyone looking to spark new ideas and enrich their AI career. Below, we’ll delve into tried-and-tested strategies that AI pros employ to drive innovation, foster creativity, and maintain an inspired outlook in an industry that can be both exhilarating and daunting. Whether you’re just starting your AI journey or you’re an experienced professional aiming to sharpen your skills, these insights will help you break out of ruts, discover fresh perspectives, and bring your boldest ideas to life.

Top 10 AI Career Myths Debunked: Key Facts for Aspiring Professionals

Artificial Intelligence (AI) is one of the most dynamic and rapidly growing sectors in technology today. The lure of AI-related roles continues to draw a diverse range of job seekers—from seasoned software engineers to recent graduates in fields such as mathematics, physics, or data science. Yet, despite AI’s growing prominence and accessibility, there remains a dizzying array of myths surrounding careers in this field. From ideas about requiring near-superhuman technical prowess to assumptions that machines themselves will replace these jobs, the stories we hear sometimes do more harm than good. In reality, the AI job market offers far more opportunities than the alarmist headlines and misconceptions might suggest. Here at ArtificialIntelligenceJobs.co.uk, we witness firsthand the myriad roles, backgrounds, and success stories that drive the industry forward. In this blog post, we aim to separate fact from fiction—taking the most pervasive myths about AI careers and debunking them with clear, evidence-based insights. Whether you are an established professional considering a career pivot into data science, or a student uncertain about whether AI is the right path, this article will help you gain a realistic perspective on what AI careers entail. Let’s uncover the truth behind the most common myths and discover the actual opportunities and realities you can expect in this vibrant sector.

Global vs. Local: Comparing the UK AI Job Market to International Landscapes

How to navigate salaries, opportunities, and work culture in AI across the UK, the US, Europe, and Asia Artificial Intelligence (AI) has evolved from a niche field of research to an integral component of modern industries—powering everything from chatbots and driverless cars to sophisticated data analytics in finance and healthcare. The job market for AI professionals is consequently booming, with thousands of new positions posted each month worldwide. In this blog post, we will explore how the UK’s AI job market compares to that of the United States, Europe, and Asia, delving into differences in job demand, salaries, and workplace culture. Additionally, we will provide insights for candidates considering remote or international opportunities. Whether you are a freshly qualified graduate in data science, an experienced machine learning engineer, or a professional from a parallel domain looking to transition into AI, understanding the global vs. local landscape can help you make an informed decision about your career trajectory. As the demand for artificial intelligence skills grows—and borders become more porous with hybrid and remote work—the possibilities for ambitious job-seekers are expanding exponentially. This article will offer a comprehensive look at the various regional markets, exploring how the UK fares in comparison to other major AI hubs. We’ll also suggest factors to consider when choosing where in the world to work, whether physically or remotely. By the end, you’ll have a clearer picture of the AI employment landscape, and you’ll be better prepared to carve out your own path.