The program is a long-term initiative aimed at automating and digitizing financial tools such as balance sheet simulators, analyzers, corporate planning, and forecasting. The goal is to establish a standardized hierarchy and taxonomy across the organization to optimize processes. The new functionalities will be hosted on a modern software platform to manage all finance and treasury data, greatly improving the user experience. These software upgrades will also drive changes and improvements to current business models and operations.
responsibilities :
Gather, analyze, and document business requirements for integrating data between financial market systems and enterprise resource planning (ERP) systems.
Collaborate with IT and business stakeholders to understand data needs and develop technical solutions.
Understand key financial concepts such as balance sheet management, capital, and liquidity reporting.
Develop and maintain data mappings, transformation rules, and integration specifications.
Provide expert knowledge and assist with problem-solving during the deployment of new features.
Report and track defects, collaborating with development teams to ensure prompt resolution.
Offer ongoing support and facilitate knowledge sharing with application users and team members.
Demonstrate a solid understanding of financial markets, instruments, and banking operations.
Apply financial market expertise to data analysis and business processes.
Verify the primary data source and ensure the availability of key data attributes (CDEs), including frequency, granularity, and other essential dimensions.
Review and challenge taxonomy requirements, with a focus on hierarchical structures.
Confirm the primary data source and ensure that required data attributes (CDEs) are accessible, specifying frequency and granularity.
Provide timelines for when upstream data will be available.
Ensure that data service level agreements (SLAs) and operational level agreements (OLAs) are established between data providers and consumers.
Identify interactions with the operating model workstream to assess any impacts on existing or future operating models and processes.
requirements-expected :
Demonstrated experience in data management and/or implementing data operating models within transformation projects.
Over 5 years of professional experience, with at least 2 years in data management roles.
Ability to work independently and take initiative when necessary.
Strong communication and presentation skills.
A consistent high performer who aligns with organizational values.
Energetic, driven, and committed to delivering results.
A pragmatic team player with strong attention to detail.
Hands-on experience in data management and operating models within a large, complex organization.
In-depth expertise in organizational design and process implementation to support regulatory-driven financial reporting.
Strong stakeholder management and communication skills, including interactions with both senior leadership and operational teams.
Experience in defining and delivering programs in a dynamic regulatory environment.
A thorough understanding of the end-to-end data operating model.
Demonstrates integrity, authority, and professionalism in all interactions.
Willingness to work twice a month from the Warsaw office.
