As a Data Product Manager, you will be at the forefront of our data strategy, responsible for building and managing data products that harness the power of analytics, ML, and AI. You will work closely with cross-functional teams, including engineering, data science, and business units, to translate complex data insights into actionable business strategies. Your deep understanding of the payment industry (or strong desire to build one) will be crucial in delivering products that meet the needs of our customers and drive business growth.
Responsibilities
Collaborate with business teams to define product requirements and closely interact with engineering, data science and other technology teams to ensure successful delivery; Conduct market research, competitive analysis, and internal process reviews to identify opportunities for new data products and enhancements to existing products; Lead the end-to-end product lifecycle for data products (dashboards, APIs, Machine Learning engines, data pipelines) from ideation to launch and beyond; Develop and maintain a product roadmap that aligns with the company’s data strategy and business objectives; Utilise analytics, ML, and AI to create innovative data products that provide actionable insights and drive business value; Monitor the product performance, where success is defined as business impact (revenue growth, optimisation of existing business processes, cost savings); Communicate product vision, strategy, and progress to stakeholders at all levels of the organisation, including senior leadership; Ensure data products comply with industry regulations and best practices for data privacy and security, including GDPR, PSD2, PCI DSS and DORA; Drive data culture within the organisation by advocating for best practices, fostering data literacy, and enabling stakeholders to leverage data effectivelyRequirements
Bachelor’s or Master’s degree in Computer Science, Data Science, Engineering, Business, or a related field; Proven experience in product management, with a focus on data products, analytics, ML, and AI; Strong technical skills and understanding of data management & analytics, ML, and AI technologies; Excellent communication and collaboration skills, with the ability to work effectively in cross-functional teams; Proficient storyteller, with experience in presentation to various audiences; Strong analytical and problem-solving abilities, with a data-driven approach to decision-making; Ability to manage multiple projects simultaneously and deliver results in a fast-paced environment; Experience in process mapping, design, and change management; Experience with data warehousing tools and platforms; Power user of presentation tools such as Power Point; Knowledge of software development methodologies (SAFE, Agile, Scrum) and tools such as Azure DevOps and JIRA; Knowledge of different ML approaches (predictive, prescriptive, generative) and ability to tailor the approach to the business problem at hand; Understanding of cloud platforms such as Google Cloud Platform and their data servicesNice to have
Experience working in the payment industry, tech startup, or financial services (highly desirable); Experience with query languages such as SQL (highly desirable); BigQuery (nice to have); Python (will be a plus); Experience with data visualisation techniques (highly desirable); PowerBI (will be a plus); Experience with Miro, Mural or other whiteboarding software (considered a plus)Benefits
Vibrant international team operating in hi-tech environment; Annual salary reviews, promotions and performance bonuses; myPOS Academy for upskilling and training; Unlimited access to courses on LinkedIn Learning; Refer-a-friend bonus; Annual individual training and development budget; Teambuilding, social activities and networks on multi-national level; Excellent compensation package; 25 days annual paid leave (+1 day per year up to 30); Full “Luxury” package health insurance including dental care and optical glasses; Meal vouchers of 102.26 EUR per month; Fully covered Multisport card; Free coffee, snacks and drinks at the officeJak aplikować
Aplikuj online: https://www.jobs.pl/oferta/100063100/aplikuj
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