.Powerdot started with the vision that charging your car should be as easy as charging your smartphone. And so for that to happen, chargers need to be available where people naturally spend their days. To bring this vision to life and accelerate it as fast as possible, we have recently secured €150M from Antin Infrastructure Partners, one of the world's largest investment funds. Our Mission is as simple as ambitious - Accelerate Sustainable Mobility. We do this by investing, installing, and operating EV chargers with an innovative business model akin to an Infra and Tech scale-up. We help businesses find the right charging solution that fits their customers' needs, and today we've joined forces with more than 1,200 partners across Portugal, Spain, France, Belgium, Luxembourg, and Poland, where we have more than 2,200 contracted locations. Our Values : We are partner obsessed and create bespoke solutions to better serve their customers. We love the challenge of making EV charging simpler, readily available, and integrated with varied retail and service experiences. We are all about growing - our network, partner businesses, teams' professional development, and the EV ecosystem. We are actively seeking a Data Product Manager responsible for the development, strategy, and performance of data-driven products that enhance our charging solutions. You will work closely with cross-functional teams, including data engineers, software engineers, data scientists, analysts, and UX designers, to collect requirements, define features, and deliver data products that drive business value. Responsibilities: Product Vision and Strategy: Develop and communicate a clear data product vision and strategy aligned with business goals. Define and prioritize the data product roadmap, ensuring alignment with the overall product strategy and company objectives. Stakeholder Collaboration: Partner with internal stakeholders, including engineering, data science, and growth teams to gather requirements and ensure solutions meet business needs. Serve as the primary point of contact for all data product-related inquiries and orchestrate cross-functional collaboration to drive product success. Data Utilisation and Insights: Leverage data insights to identify opportunities for new products and features. Ensure data products drive business value by transforming raw data into actionable insights and analytics solutions. Data Quality and Governance: Collaborate with data engineering and data science teams to develop and maintain data quality metrics. Ensure all data products comply with relevant data privacy laws, regulations, and organizational policies. Innovation and Continuous Improvement: Foster a culture of innovation by staying current with the latest advancements in data technologies and methodologies. Continuously seek opportunities to improve data product processes, tools, and frameworks