Descripción de la oferta
Overview
Our VisionTo be the world's most trusted global payroll partner, simplifying pay for all employees.
About This Job Opportunity
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. You will enable actionable insights, operational efficiency, and strategic decision-making across the organisation. 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.
Our MissionEmpowering global workforces with seamless, compliant, and innovative payroll and payment solutions, enabling businesses to thrive in a connected world.
Our PeopleOur fundamental beliefs at CloudPay are built on core values of professionalism, passion, empowerment, innovation, and teamwork. We value our employees and strive to create a great workplace where everyone is valued, heard, inspired, and encouraged to bring their authentic selves to work. We are committed to providing an excellent employee experience through fulfilling projects, empowerment to make a difference, and an environment that inspires innovation.
Main Responsibilities
Product Strategy & Roadmap: Define and execute the roadmap for data, analytics, and AI products, aligning with business goals and customer needs. Prioritise features and initiatives based on impact, feasibility, and strategic value.
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; collaborate with stakeholders, customers, and internal teams to define problems, gather requirements, and prioritise solutions. 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. Build customizable reports, dashboards, and analytics tools for internal and external stakeholders. Enable forecasting, trend analysis, and decision-making through real-time and predictive analytics.
AI Solutions: Build and oversee AI-driven solutions, including NLP and computer vision use cases. Collaborate with data scientists and engineers to turn AI concepts into production-ready solutions. Evaluate emerging AI technologies to incorporate into the product strategy.
Cross-Functional Collaboration: 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.
Stakeholder Engagement & Communication: Engage with internal and external stakeholders to gather requirements and validate product concepts. Communicate product vision, strategy, and progress to senior leadership.
Experience & Qualifications
Degree in Computer Science, Engineering, Data Science, or related field; advanced degrees preferred.
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 global 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.
Excellent collaboration and communication skills; ability to influence stakeholders across multiple teams and levels.
Technical Skills
Strong understanding of data architecture, data pipelines, and analytics platforms.
Hands-on experience with AI/ML applications, including NLP and computer vision.
Familiarity with SQL, data visualisation tools (e.g., Tableau, Looker), and large-scale datasets.
About You & Our Core Values
Taking ownership, working with integrity and respect
Being a team player is key to our culture
Solution and customer focused
Great initiative with the goal for excellence in achieving results
Dedicated to developing and always looking for continuous improvements
Be creative, be committed, be engaged and enjoy what you do
Spain – Benefits
Competitive Salary
Competitive vacation allowance
Calm app
Private Medical Insurance
EAP
Intensive Days
Employee Referral Program
WFH Allowance
Life Assurance
CloudPay NOW
Paid Volunteering days
Marriage Leave
Study Leave
Bereavement Leave
CloudPay is committed to being an equal opportunities employer. The CloudPay culture is built upon five core values—professionalism, passion, empowerment, innovation, and teamwork—and our service, technology, and business strategies reflect these beliefs.
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