Enterprise Data Governance Lead I Warsaw
DCV Technologies
This is a strategic data governance role focused on implementing and scaling enterprise-wide data governance and stewardship frameworks within a global organization. You will work with business and IT stakeholders to establish policies, improve data quality, manage metadata, and ensure regulatory compliance. It is not a technical engineering role but a governance and process-oriented position requiring strong stakeholder management and program management skills.
Brak jawnych widełek — wynagrodzenie do ustalenia podczas rekrutacji.
Brakuje: team size and composition (e.g., number of data stewards, governance analysts), specific business domains or data domains to be governed.
This is a strategic data governance role focused on implementing and scaling enterprise-wide data governance and stewardship frameworks within a global organization. You will work with business and IT stakeholders to establish policies, improve data quality, manage metadata, and ensure regulatory compliance. It is not a technical engineering role but a governance and process-oriented position requiring strong stakeholder management and program management skills.
- ✓The role explicitly involves evaluating and leveraging AI-enabled solutions for governance, showing forward-thinking
- ✓Strategic visibility with cross-functional stakeholder engagement across business, technology, security, legal, privacy, and compliance
- ✓Focus on building 'AI-ready' data, aligning with modern data trends
- !Company size (51-100) may seem small for a 'global organization' role, though it could be part of a larger group
- !The role mentions AI-enabled solutions but no specific tools or maturity level are indicated
- !Nice-to-have requirements are quite specific, suggesting the ideal candidate may be rare
- ?Brak jawnych widełek — wynagrodzenie do ustalenia podczas rekrutacji
- •Implement and drive adoption of enterprise data governance and stewardship frameworks
- •Onboard business domains into federated governance model, including stakeholder enablement
- •Enhance and maintain enterprise data catalog, metadata management, and data discovery capabilities using tools like Informatica
- •Develop, monitor, and report on governance KPIs such as stewardship engagement and metadata coverage
- •Facilitate governance workshops and stakeholder discussions to align business and regulatory requirements
- •Coordinate governance-related initiatives with internal teams and external service providers
- •Support data quality, data classification, metadata enrichment, and regulatory compliance initiatives
- •Evaluate and leverage AI-enabled solutions to improve governance efficiency and stewardship processes
Stanowisko liderskie — wymaga zarówno doświadczenia technicznego jak i umiejętności zarządzania.
A data governance specialist with at least 5-7 years of relevant experience, some exposure to governance platforms (Informatica or similar), and the ability to manage stakeholder relationships. May lack full breadth of enterprise-scale program experience but has solid foundational knowledge.
Junior or mid-level data professionals without substantial data governance framework experience or stakeholder management skills. Also not suitable for those seeking a purely technical role without process and policy work.
- ?How many people are in the data governance team, and what is the organizational structure?
- ?What is the current maturity level of data governance within the company?
- ?Which Informatica modules are currently in use, and are there plans to adopt additional ones?
- ?What are the main regulatory frameworks (e.g., GDPR, GxP) that apply to this role?
- ?How is success measured for this role in the first 6-12 months?
- ?What is the budget for governance initiatives and tooling?
- ?Are there any travel requirements for stakeholder meetings?
- ?How does the role interact with the AI/ML teams regarding data readiness?
- −Team size and composition (e.g., number of data stewards, governance analysts)
- −Specific business domains or data domains to be governed
- −Details on the recruitment process (number of stages, timeline)
- −Information about on-call or after-hours expectations
- −Whether the role is part of a broader transformation program
The description emphasizes a collaborative, cross-functional approach, with a focus on influencing without authority and building trusted data ecosystems. The culture appears to be strategic, process-oriented, and stakeholder-driven.