Data Product Manager - OpenData MENA

Role Overview Veeva Systems Inc. is hiring a Data Product Manager for OpenData MENA. This position focuses on building and shaping Veeva’s reference data products for the life sciences sector, supporting commercial and medical operations for pharmaceutical and biotechnology companies worldwide. Impact and Purpose Veeva is a Public Benefit Corporation (PBC), balancing purpose with profit. The OpenData team’s work helps speed up the delivery of life-saving treatments. The company values autonomy, accountability, and quick decision-making. What You Will Do Own and develop the product roadmap for OpenData in the Middle East and North Africa (MENA) region Manage and improve data pipelines Shape product strategy across 12 countries Identify and assess new market opportunities Lead cross-functional projects from start to finish Who We’re Looking For Bilingual in English and Arabic Strong technical background in data analytics or engineering Experience managing data products or data operations Comfortable working independently and taking initiative Location and Travel Remote role open to candidates based in the UK, Germany, or Spain Travel up to 10% expected

Location: United Kingdom – London (remote within UK, Germany, or Spain; up to 10% travel) About Veeva Systems Veeva Systems develops SaaS solutions for the life sciences industry. The company surpassed $3 billion in revenue last year and continues to grow. Core values include Do the Right Thing, Customer Success, Employee Success, and Speed. In 2021, Veeva became a public benefit corporation (PBC), balancing the interests of customers, employees, society, and investors. Veeva’s Work Anywhere approach allows employees to choose their preferred work setting, at home or in an office. Learn more about the company’s impact on life sciences in this video. Role Overview The Data Product Manager will join the OpenData Europe team. Veeva OpenData serves as a reference data source for leading pharmaceutical and biotech companies, supporting their commercial and medical operations. The data products developed in this role help accelerate the delivery of critical therapies. This position offers autonomy and ownership of the product roadmap. The team values purpose, accountability, and quick execution. What You Will Do Own and manage the product roadmap for OpenData Europe Oversee data pipelines and ensure data quality Shape product strategy and identify new market opportunities Drive cross-functional execution from concept to launch Who We’re Looking For Strong technical background in data analytics or engineering Experience managing data products or pipelines Interest in taking full ownership of product direction and delivery Motivated to work in a purpose-driven, fast-moving environment Based in the UK, Germany, or Spain and able to travel up to 10%

Company: Veeva Systems Inc. Location: United Kingdom - London (Remote, with occasional travel) About Veeva Systems Veeva Systems delivers industry cloud solutions that help speed up the delivery of therapies to patients. The company surpassed $3 billion in revenue last fiscal year and continues to grow. Veeva operates as a public benefit corporation, committed to balancing the interests of customers, employees, society, and investors. Core values include doing the right thing, customer success, employee success, and speed. Veeva supports a Work Anywhere approach, offering flexibility to work from home or an office. The team aims to transform the life sciences industry and create a positive impact for customers, employees, and communities. Learn more about the mission here. Role Overview The Data Lead for the OpenData Europe team will help position Veeva as a global leader in reference data for life sciences. Pharmaceutical and biotech companies depend on Veeva’s data for commercial and medical operations. This fully remote role is open to candidates in the UK, Germany, or Spain, and requires occasional travel (about 10%). What You Will Do Oversee and improve data pipelines for OpenData Europe. Shape product strategy and identify new market opportunities. Manage cross-functional projects from planning through execution. Who This Role Is For This position suits a data professional with a strong technical background in data analytics or engineering who is ready to take on broad responsibility and influence outcomes in the life sciences sector.

Join our dynamic team at ravio as a Senior Data Product Manager, where you will play a pivotal role in shaping our data-driven strategies and product offerings. You will collaborate closely with cross-functional teams to define product vision, drive data insights, and ensure the successful delivery of innovative solutions that meet our customers' needs.In this role, you will leverage your expertise in data analytics and product management to guide the development and optimization of our data products. Your insights will inform strategic decisions, enhance user experiences, and contribute to the overall growth of ravio.

At Similarweb, we are transforming how businesses engage with the digital landscape by providing comprehensive insights into online activities.Our unparalleled data and innovative solutions empower over 5,700 clients worldwide, including industry leaders such as Google, Meta, and OpenAI, to make impactful decisions that shape their digital strategies. Since going public on the New York Stock Exchange in 2021, we have consistently achieved new milestones! Join a global team of Similarwebbers who are bright, inquisitive, practical, and genuinely good people.About the RoleWe are on the lookout for a seasoned and motivational Product Data Science Manager to spearhead a customer-oriented team within our dynamic Data Labs division. In this role, you will guide and mentor a talented group of product data scientists while staying closely involved in technical initiatives. Your primary responsibility will be to deliver intricate, tailored insights to some of the most prominent names in the industry, ensuring analytical rigor and significant client impact.This hands-on leadership role merges team management, technical expertise, and collaborative efforts across various functions. You will establish benchmarks, promote best practices, and contribute to the evolution of Similarweb's bespoke data solutions.What does a typical day look like for a Product Data Science Manager (Data Labs) at Similarweb?Lead, mentor, and cultivate a team of customer-facing data analysts, promoting a culture of accountability, excellence, and lifelong learning.Oversee the complete delivery process of complex, customized data products—from client scoping and solution design to execution and ongoing support.Uphold high analytical and technical standards throughout the team, including proficiency in SQL, PySpark, Python, and data validation best practices.Serve as an escalation point for intricate analytical issues, providing hands-on support when necessary.Collaborate closely with Engineering to define scalable infrastructure and productized solutions.Work with Advisory Services and other stakeholders to deliver seamless, high-impact client solutions.Drive process enhancements, knowledge sharing, and documentation to amplify the team’s effectiveness and reach.Balance client demands, team capacity, and delivery timelines while ensuring the highest quality standards.

About the Role Storio Group is building a Strategic Data Platform to strengthen existing systems and support the company’s long-term vision. The platform will play a central role in digital experiences, pricing, and the shift toward a fully data-driven business by 2030. As Senior Product Manager for Data Platform, this role sits within the Data and AI domain and shapes the direction of Storio Group’s data infrastructure. What You Will Do Define and maintain the strategic roadmap for the Data Platform, aligning with company goals. Work closely with engineering teams and stakeholders to deliver data solutions that create commercial value. Translate business needs into product initiatives that support informed decision-making across the organization. Influence strategy beyond day-to-day backlog management, helping establish a strong product culture within the Data and AI domain. Foster collaboration and encourage a shared vision for data-driven transformation at Storio Group. Location This position is based in London, UK.

Join Us as a Product Data Science Manager at Similarweb At Similarweb, we are at the forefront of transforming how businesses engage with the digital landscape, providing unparalleled insights into online activities. Our innovative data and solutions empower a global clientele of over 5,700 customers, including industry leaders like Google, Meta, and OpenAI, to make impactful decisions that shape their digital strategies. Following our public listing on the New York Stock Exchange in 2021, we continue to soar to new heights! Join a diverse team of Similarwebbers worldwide who are intelligent, inquisitive, pragmatic, and dedicated. Role Overview We are seeking a dynamic and experienced Product Data Science Manager to lead a customer-centric team within our dynamic Data Labs group. In this pivotal role, you will mentor and manage a high-performing team of product data scientists while remaining actively involved in the technical aspects of our projects. You will be tasked with delivering intricate, tailored insights to some of the most prominent brands in the industry, ensuring both analytical rigor and significant client impact. This hands-on leadership position merges people management, technical expertise, and cross-functional collaboration. You will set benchmarks, implement best practices, and contribute to the evolution of Similarweb's bespoke data solutions. Daily Responsibilities Lead, mentor, and cultivate a team of customer-focused data analysts, promoting a culture rooted in ownership, excellence, and continuous improvement. Oversee the comprehensive delivery of intricate, custom data products from initial client engagement and solution design through to execution and ongoing support. Uphold high analytical and technical standards within the team, including competencies in SQL, PySpark, Python, and data validation methodologies. Serve as a point of escalation for complex analytical issues, offering practical guidance as needed. Collaborate closely with Engineering to establish scalable infrastructure and productized solutions. Work alongside Advisory Services and other stakeholders to provide seamless, high-impact client solutions. Champion process enhancements, knowledge sharing, and documentation to amplify the team's effectiveness and efficiency. Balance client demands, team capabilities, and project timelines while maintaining a commitment to quality.

Multiverse is looking for a Data Product Owner based in London. This position centers on shaping and delivering data-driven products that help improve educational outcomes. Role overview The Data Product Owner collaborates with teams throughout the company to set the direction for data products. Responsibilities include prioritizing new features and managing the delivery of data solutions designed for both learners and educators. What you will do Guide the development of products that use data to support education Work with cross-functional teams to define product priorities Oversee the rollout of data solutions for end users, including learners and educators

Job Title: Product Manager (Data)Location: London or Bristol (Hybrid)Salary: £60,400 - £70,800Team: Data ProductsReporting To: Director of ProductThis role requires existing right to work in the UK.At this time, we are unable to offer visa sponsorship for this role. We are committed to building a diverse, global team and evaluate our sponsorship policy on a role-by-role basis. We encourage you to monitor our careers site for future opportunities where visa sponsorship may be available.Kaluza is at the forefront of the Energy Intelligence sector, transforming the complexities of energy into streamlined coordination. We empower energy companies to tackle today's challenges while propelling the transition to a clean, electrified future. By harnessing Data, AI, and real-time decision-making, we convert energy complexity into growth opportunities for our partners.Utilizing predictive algorithms alongside human-centered design, Kaluza ensures that clean energy is both reliable and affordable.With teams spanning Europe, North America, Asia, and Australia, and a joint venture with Mitsubishi Corporation in Japan, we collaborate with leading companies such as OVO, AGL, and ENGIE, in addition to innovators like Volvo and Volkswagen.Key Responsibilities:As the Product Manager for Data Product Implementation, your main role will be to adeptly oversee the rollout of data products for a significant Kaluza client. You will collaborate closely with engineers and specialists within the Kaluza Data Product team, as well as other Kaluza domain implementation leads and pertinent client subject-matter experts to ensure that our data model and products are tailored to meet our client's specific requirements.Responsibilities include:Client Engagement: Clearly articulate Kaluza data products and data models to key clients.Requirements & Roadmap: Document and translate client requirements for data products, aligning them with the global product roadmap priorities.Development Support: Assist development by refining and prioritizing backlog items, collaborating with software engineers to deliver solutions that add value for clients.Product Adoption: Foster product adoption through the creation of technical documentation, release communications, and conducting training sessions.

About UsPerk, previously known as TravelPerk, is a pioneering platform for travel and spend management. Our goal is to eliminate the tedious, manual tasks that hinder productivity, allowing our users to focus on what truly matters. Our tools seamlessly automate everything from travel bookings to expense management and invoice processing. By addressing the hidden inefficiencies in the workplace, we aim to boost productivity and enhance employee morale, ultimately driving innovation.With over 10,000 companies relying on us globally, including industry leaders like Wise, On Running, Breitling, and Fabletics, we are tackling a staggering $1.7 trillion productivity loss each year.Founded in 2015, Perk has expanded to over 1,800 employees across 12 offices, with headquarters situated in London and Boston. We blend innovation, accountability, and simplicity to redefine how businesses operate and how employees experience their work environment.Our core values, including ownership, delivering a 7-star experience, and teamwork, guide our mission. We celebrate curiosity, purpose, and mindset, recognizing that they are essential to unlocking your potential. Our talent team comprises top professionals from the travel and SaaS sectors, representing over 70 countries. If you are passionate about making a significant impact and transforming the workplace for millions, we welcome you to join our team.For more information, please visit www.perk.com.

Role overview Hudl seeks a Senior Product Manager in London to focus on Core Data. This position involves shaping product strategy and building data-driven solutions that support the broader Hudl product suite. What you will do Collaborate with cross-functional teams to enhance product features and improve the user experience. Apply data analytics to guide product decisions and drive improvements. Define the vision and direction for Hudl’s data products. Requirements Background in product management within data-centric environments. Ability to work comfortably with colleagues across different teams and disciplines. Skill in turning data insights into actionable product enhancements.

Charlotte Tilbury Beauty, founded in 2013 by Charlotte Tilbury MBE, has grown into a recognized beauty brand with a presence in over 50 countries and a team of more than 2,300 employees. The company’s products are widely used by beauty enthusiasts around the world. The Senior Global Product Master Data Manager role is based in London and centers on leading the global Product Master Data function. This position shapes standards, ensures data quality, and aligns data practices with business needs across multiple systems and teams. Main responsibilities Establish and uphold global standards for Product Master Data. Maintain accuracy, consistency, and completeness of data across PDM and ERP systems. Lead initiatives to enhance data quality and improve related processes. Mentor and guide a team of data analysts, assigning tasks and managing priorities. Drive a collaborative and accountable team environment. Serve as an advisor to teams throughout the organization on product master data matters. Translate business requirements into effective data solutions. Support system upgrades and integration projects. Investigate data discrepancies, perform root cause analysis, and implement corrective actions. Facilitate the distribution of pricing and product data to relevant teams and systems. Prepare ad hoc reports related to pricing and product master data. Deliver training and ongoing support to promote adherence to data standards. Collaboration This position reports to the Head of Supply Chain Global Operations. Regular interaction with cross-functional teams is a key part of the role. Candidate profile University degree preferred. Extensive experience in Product Master Data Management. Strong communication abilities and experience managing stakeholders. Analytical mindset with attention to detail and strong problem-solving skills. Proficiency in data management tools and methodologies.

Join Algolia, a trailblazer and industry frontrunner in AI Search, empowering over 17,000 businesses to provide rapid, predictive search and browsing experiences at an immense scale. Each week, we handle more than 30 billion search queries—outpacing Microsoft Bing, Yahoo, Baidu, Yandex, and DuckDuckGo combined.In 2021, we successfully secured $150 million in Series D funding, boosting our valuation to $2.25 billion. This robust foundation allows us to continually enhance our premier platform and cater to outstanding clients like Under Armour, PetSmart, Stripe, Gymshark, and Walgreens.The MissionTake charge of the product vision, strategy, and execution for Algolia’s data collection and transformation capabilities within our Data Platform. Your mission is to enable every business to fully leverage their product and record/catalog data for remarkable AI search and agentic experiences.Your focus will be on foundational data systems that guarantee high-quality, well-structured data flows into Algolia, allowing it to be effectively utilized by our search, AI, and analytics products.You will own and scale two core pillars1. Data Transformation PlatformDesign and enhance capabilities that convert raw, diverse data (e.g., JSON, CSV, databases, APIs, third-party systems) into optimized, Algolia-ready formats.Drive schema alignment, normalization, and mapping so customers can swiftly make their data searchable and usable.Collaborate with the Connector and Data Platform teams to deliver seamless end-to-end ingestion and transformation workflows.2. Data Quality & Platform ServicesEstablish and refine data quality standards for accuracy, completeness, and consistency across records.Work with engineering to create scalable APIs, services, and UIs (e.g., pipeline monitoring) that facilitate easy adoption of data capabilities.Define platform metrics and instrumentation that reflect business impact, such as integration time, error rates, and enrichment coverage.The OpportunityThis is a senior individual contributor product role at the heart of Algolia’s Data Platform. You will oversee a vital product area—Data Connectors and Transformations—while collaborating closely with other PMs across Enrichment, Events, and AI.You will:Shape how customers prepare data for AI search and agentic experiences.Drive product strategy and execution for data transformation capabilities.

Role Overview Soho Home is looking for a Product Data Coordinator for a 6-month fixed-term contract based in London. This role centers on managing and governing product data, with a focus on accuracy and consistency across multiple systems. The coordinator will document processes to help create a reliable, centralized source of information. This position calls for careful attention to detail in handling data and operational tasks. The goal: keep data clean, well-governed, scalable, and in step with changing business reporting needs. The Product Data Coordinator reports to the Buying & Product Development team and supports collaboration across departments. What You Will Do Cleanse product data to ensure information is complete and accurate. Support SKU creation for projects, making sure setup is both timely and correct. Enter and maintain product specifications and attributes using Excel and internal tools. Help manage workloads in line with critical path timelines. Set up and manage product hierarchies within current SKU portfolios. Carry out data checks and reconcile documentation with system records, resolving any inconsistencies found. Keep data files and documentation organized and structured.

About NextStepNextStep is at the forefront of connecting exceptional consulting talent with transformative opportunities through advanced AI-driven matching. We collaborate with innovative companies across various sectors to place skilled professionals in roles where they can create significant impact.About the CompanyOur client, a Series B climate data and analytics firm based in London, excels in offering corporate carbon accounting, supply chain emissions tracking, and ESG reporting solutions for major enterprises across Europe and North America. With an impressive £35 million in funding and strong growth in enterprise contracts, they are expanding their product team to enhance their platform's analytics and reporting functionalities.The RoleAs a Product Manager, you will take ownership of a vital product area within the platform, guiding projects from initial discovery to successful delivery and user adoption. You will collaborate closely with engineering, data science, and customer success teams to develop features that empower enterprise clients in fulfilling their sustainability reporting obligations and making informed carbon reduction decisions.What You'll DoDefine the product vision and roadmap for your area, collaborating with engineering and design to prioritize and sequence delivery.Conduct customer discovery interviews to transform user needs into precise, actionable product requirements.Partner with data science and engineering teams to deliver innovative analytics features, emissions calculation methodologies, and reporting tools.Engage with Customer Success to foster product adoption, collect feedback, and identify opportunities for expansion.Monitor product metrics and experiment to enhance user experience and the business impact of your area.What We're Looking For3–6 years of product management experience, preferably in a B2B SaaS or data-driven technology environment.Strong analytical capabilities, with comfort in data models and metrics, using evidence to inform product decisions.Exceptional written communication skills; adept at crafting clear PRDs, user stories, and product narratives.Collaborative and inquisitive, enjoys working closely with engineers and data scientists.A genuine interest in or experience with sustainability, climate, or ESG is a significant advantage.

Lead Technical Product Manager, Operations AI & DataThe TeamThe Product Management Technology team serves as the digital backbone of On's innovative product creation process. Our strategic product leaders collaborate with essential business functions, including R&D, Design, Sourcing, and Supply Chain, to construct the platforms and systems that fuel On's growth.Our mission is to develop a seamless, intelligent, and efficient digital ecosystem that empowers our teams to design and deliver the next generation of groundbreaking products. As internal entrepreneurs, we are deeply integrated within the business, identifying complex challenges and constructing elegant, scalable solutions.Joining our team offers you the unique chance to drive significant transformation and leave a tangible impact on the future of one of the world's most exciting brands.The RoleAt On, our supply chain is the backbone of our global operations. We are in search of a visionary Lead Technical Product Manager to lead the next evolution of our supply chain through the power of Artificial Intelligence and data.In this pivotal leadership role, you will serve as the bridge between our intricate operational challenges and state-of-the-art data solutions. You will identify high-impact opportunities where data, AI, and automation can transform our planning, logistics, and decision-making processes. Your expertise in understanding business needs, data, and the possibilities of AI will help define a compelling product vision and guide our AI, data, and engineering teams to create solutions that deliver exceptional value.As a Lead, you will also play a critical role in mentoring other product managers and shaping the product culture within the team.What You'll DoOwn the Data & AI Product Vision: Develop and advocate for a clear product strategy and roadmap for Data & AI-driven initiatives within the supply chain domain.Identify Opportunities: Collaborate closely and build relationships with supply chain stakeholders to thoroughly understand their processes, data challenges, and automation pain points.Translate Problems into Solutions: Convert ambiguous business challenges into well-defined product requirements, user stories, and specifications for our data science and engineering teams to drive measurable value.Prioritize for Impact: Create and manage a data-driven product backlog, prioritizing features and initiatives that provide the highest value to the business.Define Success: Establish and monitor key performance indicators (KPIs) to assess the effectiveness and impact of your AI/data products in collaboration with analytics.

Role Overview Soho House & Co is hiring a Lead Product Data Manager for a 6-month fixed-term contract based in London. This position sits within Soho Home and focuses on managing and governing product data to build a reliable, centralized data repository. The role supports the company’s move to a data lake and enhanced reporting, with a particular emphasis on preparing the business for Power BI adoption. Reporting to the Buying & Product Development team, the Lead Product Data Manager will work closely with colleagues across departments to strengthen data foundations and improve processes. Main Responsibilities Develop and uphold a data governance framework, covering standards, naming conventions, hierarchies, and approval workflows. Lead large-scale data cleansing and rationalization for product, supplier, and commercial datasets, focusing on standardization and completeness. Oversee the full process of SKU creation for multiple projects, ensuring alignment with project timelines. Act as the main authority for organizational data, serving as the go-to contact for data-related matters. Design data structures that will form the foundation of future data lake architecture, aiming for efficient, accurate, and scalable workflows. Partner with technology teams to manage data pipelines, integrations, and ensure systems are ready for upcoming changes. Shape the strategy for the Power BI data model, focusing on reliable and scalable reporting outputs. Approve all data changes, maintaining high standards of data integrity. Spot risks such as duplication, inconsistency, and gaps, and put controls in place to address them. Contract Details This is a fixed-term contract for 6 months, based in London, England, United Kingdom.

About LendableLendable is dedicated to creating the finest technology to empower individuals in obtaining credit and managing their finances effectively. We are rapidly establishing ourselves as a leader in the fintech sector with significant momentum:Recognized as one of the UK’s newest unicorns, our team comprises over 700 talented professionals.Ranked among the fastest-growing tech companies in the UK.Achieved profitability since 2017.Supported by premier investors, including Balderton Capital and Goldman Sachs.Praised by our customers, with exceptional ratings (4.9 based on thousands of reviews on Trustpilot).To date, we have reimagined the three primary consumer finance products: loans, credit cards, and car finance. Our goal is to provide funds to our customers within minutes rather than days.As we continue to grow, we are targeting the two largest Western markets (the UK and US), where substantial financial assets are managed by large banks with outdated systems and cumbersome processes.Join Us If You Want ToTake ownership of significant responsibilities. From day one, you will have the autonomy to make decisions that significantly influence Lendable's trajectory and success.Collaborate with small teams of exceptional individuals who are resourceful in solving challenges and discovering innovative solutions.Develop top-tier technology internally, leveraging new data sources, machine learning, and AI to minimize manual workloads.About the RoleWe are in search of an accomplished Lead Product Data Scientist to spearhead product analytics for our rapidly evolving multi-product application. In this influential role, you will be instrumental in deriving insights that enhance our Zable app, utilized by over 1 million customers on both iOS and Android platforms. Your insights will have a direct impact on product strategy and enhance the core user experience.

About Checkout.com Checkout.com helps businesses process payments smoothly, supporting companies such as eBay, ASOS, Klarna, Uber Eats, and Sony. The company operates behind the scenes to make global transactions efficient and reliable. Headquartered in London, Checkout.com maintains 19 offices on six continents. Teams focus on performance and innovation, aiming to shape the future of digital payments. Role Overview: Product Data Scientist The Product Data Scientist works within a cross-functional group that includes product managers, designers, and engineers. Insights from data help guide product strategy and define success metrics. Responsibilities include designing dashboards and reports, conducting analyses to spot opportunities for product improvements, and collaborating closely with the team to deliver on product goals. Data Analytics at Checkout.com supports business objectives at every level. In this role, a network of Analytics Engineers and Data Product Managers provides support to help drive growth and impact. Main Responsibilities Lead analytics for a product area: define, measure, and present key metrics, delivering insights that inform decisions. Use data to recommend updates to product roadmaps and identify opportunities for meaningful improvements. Work with Data Analytics and Software Engineering teams to ensure data is collected and modeled to support business insights. Promote a strong data culture within product teams, encouraging innovation and data literacy. Location This position is based in London.

About Checkout.com Checkout.com powers the payment infrastructure for brands such as eBay, ASOS, Klarna, Uber Eats, and Sony. The company focuses on building seamless online checkout experiences, helping businesses move money securely and efficiently. Headquartered in London, Checkout.com operates globally, handling billions of transactions each year. The team values innovation, performance, and continuous improvement. Role Overview: Senior Product Data Scientist The Senior Product Data Scientist partners closely with product managers, designers, engineers, and analysts to turn data into actionable insights. This role shapes product strategy by defining success metrics, guiding data collection, designing dashboards and reports, and analyzing trends to identify ways to improve products. The position is central to product success and works alongside a strong network of Analytics Engineers, Product Data Scientists, and Data Product Managers. What You Will Do Lead analytics for a product pillar: define, measure, and present key metrics, and deliver insights that drive action. Influence product roadmaps by making data-driven recommendations and spotting opportunities for impactful improvements. Work with Data Analytics Engineers and Software Engineers to ensure data is collected and modeled accurately for business insights. Encourage a data-focused mindset across product teams to enable informed decisions. Location This position is based in London.