To be the world's most trusted global payroll partner, simplifying pay for all employees. We are seeking a motivated and impact-driven Senior Data Product Manager to join our Data team. You will define and drive the strategy and execution of data-driven products, infrastructure, and AI solutions, shaping our data ecosystem from analytics and reporting to advanced AI initiatives, including next-generation NLP and computer vision use cases.

If you're passionate about data, thrive at the intersection of innovation and want to build a platform that powers data-driven and AI-first solutions at global scale, this role is for you. Empowering global workforces with seamless, compliant, and innovative payroll and payment solutions, enabling businesses to thrive in a connected world. Our fundamental beliefs at CloudPay are built on core values of professionalism, passion, empowerment, innovation, and teamwork.

We are committed to providing an excellent employee experience through fulfilling projects, empowerment to make a difference, and an environment that inspires innovation. Define and execute the roadmap for data, analytics, and AI products, aligning with business goals and customer needs. End-to-End Product Lifecycle Management: Own the end-to-end product lifecycle, from market research, ideation, and competitive analysis to identify trends and opportunities; Manage the development cycle, including risk assessment, reprioritisation, testing, rollout, and cross-functional coordination with marketing, sales, and operations to ensure successful adoption.

Monitor product performance, gather feedback, iterate on improvements,



and ensure continuous alignment between user needs, business goals, and strategic objectives.

Data Infrastructure: Lead the development and enhancement of data infrastructure, pipelines, and platforms. Maintain high standards for data quality, governance, and reliability across all systems.

Data & Analytics: Create the next generation of 'Data as a product', designing solutions that deliver actionable insights. Enable forecasting, trend analysis, and decision-making through real-time and predictive analytics. Collaborate with data scientists and engineers to turn AI concepts into production-ready solutions.

Partner with engineering, operations, finance, and business teams to ensure data products meet user needs. Serve as the voice of the customer and advocate for data-driven decision-making. Communicate product vision, strategy, and progress to senior leadership.

Degree in Computer Science, Engineering, Data Science, or related field; Extensive experience in product management, preferably with a focus on data, analytics, or AI products. Proven track record of delivering data-driven or AI-enabled products in a SaaS or enterprise environment.

Experience with general payroll, HR, or fintech platforms would be a plus. Knowledge of data privacy regulations and compliance standards. Excellent written and oral communication skills in English. Strong understanding of data architecture, data pipelines, and analytics platforms. Familiarity with SQL, data visualisation tools (e.g., Tableau, Looker), and large-scale datasets.

Private Medical

Insurance

📌 Senior Data Product Manager (Barcelona)
🏢 Cloudpay
📍 Barcelona