Senior Test Data Management
Summary
A senior Test Data Management consultant defines and implements enterprise TDM strategy, governance, and data masking/provisioning policies for a banking client, integrating TDM into CI/CD pipelines and leading PoCs. Hybrid role (2-3 days/week onsite) in Warsaw, Gdańsk or Gdynia, on a B2B contract of up to 165 PLN/h.
Industry: banking
Location: Hybrid, 2-3 days per week form office in Warsaw, Gdańsk or Gdynia
Rate: up to 165 pln/h on b2b
Overview:
This role requires expertise in establishing strategic Test Data Management processes and driving governance across multiple teams to ensure compliance with regulations such as GDPR while supporting automation and continuous integration/continuous delivery (CI/CD) methodologies.
Main Responsibilities:
Define and implement the Test Data Management (TDM) strategy, including governance and ownership models.
Create policies for provisioning, masking, retention, and refresh cycles of test data.
Collaborate with the Central Data provisioning team to establish KPIs and reporting on TDM effectiveness.
Assess and map the current state of test data processes, identifying gaps and inefficiencies.
Develop a self-service TDM model for agile teams and define roles and responsibilities across various teams.
Integrate TDM into CI/CD pipelines and automate test data provisioning.
Lead Proof of Concept (PoC) and pilot activities while driving rollout and adoption strategies.
Key Requirements:
10+ years of experience in Testing, Quality Assurance (QA), or Data Management.
Demonstrated ability to establish enterprise-level Test Data Management capabilities.
Strong knowledge of Test Data Management processes.
Experience in data masking and anonymization.
Familiarity with GDPR and compliance regulations.
Nice to Have:
Knowledge of banking, mortgage, or financial services sectors.
Experience with customer onboarding journeys.
Familiarity with tools such as Tricentis Tosca TDM, Curiosity Software TDM, Informatica TDM, or Broadcom TDM.
Experience in synthetic data generation platforms and cloud environments.
Knowledge of AI-driven test data generation and quality engineering.
Understanding of regulatory requirements.