Senior Project Manager (Data/IT)

Quick Facts

• Role: Senior Project Manager (DATA / IT)

• Industry: Banking

• Work model: Hybrid (8 days/month in Warsaw)

• Rate: 980–1200 PLN net/day (depending on experience)

Description

You will lead a complex Data/IT initiative covering risk, data, analytics, architecture, and technology. The role focuses on translating business goals into an integrated delivery plan and coordinating multiple parallel streams, including solution architecture, Data Products, data integration, and an analytics environment. You will ensure collaboration across Business Owners, risk domain experts, analysts, architects, and delivery teams.

Responsibilities

• Lead the project end-to-end: define scope, manage execution, and drive implementation and acceptance; define milestones and interim deliverables

• Maintain an integrated project plan covering Data Products and parallel business, analytics, architectural, and timeline workstreams

• Coordinate delivery of domain products, integrated products, and a Risk Analytics Platform aligned with target architecture and DATA Program standards

• Manage schedule, scope, dependencies, risks, issues, and project changes; track mitigation actions and escalate items needing decisions

• Coordinate cross-functional collaboration among Business Owners, domain experts, analysts, architects, and technology/delivery teams

• Run workshops, status meetings, reviews, and decision meetings; prepare governance and program decision materials

• Coordinate multiple teams and monitor readiness across business, analytics, architecture, and technology, including alignment between Agile delivery and milestones

Requirements

• Minimum 5 years of experience as a Project Manager managing complex IT/Data projects across multiple teams and organizational units

• Experience managing scope, schedule, dependencies, risks, change, stakeholders, governance, and executive reporting, including parallel business/analytics/architecture/technology streams

• Practical experience with Data Platform, Data Warehouse, Data Lake/Lakehouse, Data Products, analytics, and cloud solutions

• Understanding of data integration and data flow, data quality, and data models; familiarity with MLOps/ML lifecycle to manage delivery streams

• Experience with BigQuery (partitioning, clustering, cost management)

• Knowledge of ETL/ELT tools including dbt and Dataform

• Experience building Data Products, domain-driven solutions, and data migrations/modernization, with collaboration across Data Governance and Data Quality

• Banking/financial sector experience delivering complex Data/IT initiatives and working effectively with Business Owners, domain experts, architects, analysts, Data Engineers, and development teams

Benefits

• Long-term cooperation

• Technical training, certifications, and skill development

• Mentoring Competence Center community from day one (conferences, knowledge sharing)

• Clear career path

• Employee benefits package: Multisport, private medical care, life insurance

• Friendly work atmosphere, integration events, and team-building activities