Mariia I.

Product Owner @ Creditsafe

About

I work as a Product Owner for data-driven products in the German and Austrian markets within a global organization. I take responsibility for shaping regional product direction, applying Group-wide product and data policies, and adapting global solutions to local market and data realities. My focus is on making clear, well-grounded product decisions, aligning regional needs with global strategy, and working closely with cross-functional teams to deliver products that are consistent, usable, and reliable. My background combines engineering, linguistics, and cross-cultural studies, which strongly influences how I approach product work. It helps me balance structured logic with nuanced communication — from mapping data flows and translating regulations into product logic to refining how information is presented in the UI so it works for both systems and the people using them.

Country

Germany

City

Berlin

Industry

Information Technology & Services

Skill

User Stories, Analytical Skills, Oracle Database, pandas, Python (Programming Language), NumPy, SQL, PostgreSQL, Matplotlib, spaCy, Jupyter, Scikit-Learn, Natural Language Processing (NLP), Data Analysis, Data Science, Linguistics, Hardware Testing, Phonetics

Experience

Product Owner

Creditsafe

2025-11 - Present · 11 mos

Berlin, Germany

Product Ownership (DE - AT) -Owning product strategy and roadmap for DE and AT markets -Implementing Group-wide product and data policies across the sub-region -Adapting global core products and platform capabilities to local market, regulatory, and data-specific needs Requirements & Backlog Management -Translating regional business needs and complex data logic into clear, prioritised product requirements -Managing and prioritising the product backlog based on regional impact, dependencies, and value -Defining user stories and acceptance criteria with a strong focus on data consistency and correctness Data-Informed Product Decisions -Using KPIs, usage data, and market insights from DE and AT to guide prioritisation and trade-offs -Ensuring alignment between product behavior, underlying data models, and reported metrics -Assessing risks and product impact related to data quality, availability, and integration Cross-Functional & Group Alignment -Acting as a bridge between regional (DE, AT) stakeholders and Group-level product teams -Aligning local product needs with global strategy, standards, and roadmaps -Collaborating closely with Engineering, UX/UI, Data, and business teams across regions Product Delivery & Market Adaptation -Supporting product launches and iterations tailored to DE and AT markets -Identifying optimisation opportunities across products, data flows, and regional processes -Driving continuous improvement based on measurable outcomes and stakeholder feedback

Data Analyst

Creditsafe

2021-12 - 2025-11 · 4 yrs

Berlin, Germany

Data Platform Migration - Supporting strategic migration from Oracle to AWS Redshift - Validating dbt models based on Data Vault 2.0 to replace legacy PL/SQL procedures - Ensuring alignment between data models and business logic Product Enablement - Defining requirements for Web Marts in collaboration with product and engineering teams - Performing data QA and validation to support product features - Structuring how data should appear in UI through user stories and specifications API-Driven Solutions - Collaborating on internal API-based data flows and integration logic - Mapping data for successful consumption in downstream applications Business Insight & Market Adaptation - Analyzing German and Austrian datasets for localization of global products - Delivering client- and marketing-focused data extracts - Defining business logic and KPIs for performance measurement Monitoring & Quality Assurance - Investigating data inconsistencies across pipelines - Evaluating quality and completeness of incoming and processed data Cross-Functional Collaboration - Acting as a liaison between regional and global teams - Aligning local data logic with international product strategy - Working closely with frontend, full-stack, and data mapping stakeholders