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Wiktoria NiewiadomskaWN
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Wiktoria Niewiadomska

@wiktorianiewiadomska

I translate financial-risk needs into reliable data, software, and AI products.

Germany
Message

At Allianz Global Investors, I act as the de facto Product Owner for a business-critical SRI investment data platform with around 100 interconnected tables, supporting more than 50 users and downstream consumers. I own roughly 15 data pipelines and help deliver features from discovery through testing and production.

I translate business, user, and regulatory needs into requirements, user stories, acceptance criteria, test scenarios, and technical documentation. I work across SQL Server, Databricks, APIs, SFTP feeds, microservices, and external data providers to investigate root causes and turn complex integration and data issues into practical solutions.

I've redesigned change management to accelerate delivery by 5x, introduced GitHub-based release controls, and delivered an Executive Committee-endorsed AI mailbox-agent MVP projected to save approximately €140,000 annually. Previously, I supported liquidity-risk, EMIR reporting, and capital-requirements projects, building automated Python and SAS reporting solutions.

Experience

Work history, roles, and key accomplishments

Allianz Global Investors logoAI
Current

Technical Business Analyst

Allianz Global Investors

Sep 2023 - Present (2 years 11 months)

Act as de facto Product Owner of a business-critical SRI investment data platform, facilitating stakeholder workshops and owning data pipelines. Redesigned change-management process to accelerate delivery by 5x and delivered an AI-powered mailbox-agent MVP.

Education

Degrees, certifications, and relevant coursework

New York University logoNU

New York University

Bachelor of Arts, Political Science

Earned a Bachelor of Arts in Political Science with a minor in Economics.

Utrecht University logoUU

Utrecht University

Master of Science, Applied Data Science

Pursued a Master of Science in Applied Data Science, with coursework in media personalisation, data mining, databases, and network analysis.

Tech stack

Software and tools used professionally

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