Data Product Manager

Data Product Manager

myPOS

Sofia or Varna, Bulgaria

About the role:

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.

What you’ll do:

• 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 effectively.

This role is perfect for you if you have:

• 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 (for example, digital marketing optimisation (ROAS, CAC, First Touch, Last Touch, MTMA, MMM), churn prediction, LTV calculations (to support lead scoring, dynamic pricing, etc.);
• Strong technical skills and understanding of data management & analytics, ML, and AI technologies;
• Experience working in the payment industry, tech startup, or financial services is highly desirable;
• 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.

Technical Skills:

• Experience with data warehousing tools and platforms (BigQuery is a nice to have) and query languages such as SQL (highly desirable) and Python (will be a plus);
• Experience with data visualisation techniques is highly desirable, specific experience with PowerBI will be a plus;
• Power user of presentation tools such as Power Point (experience with Miro, Mural or other whiteboarding software will be considered a plus);
• 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 services.