Manager, Data Management Oversight
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- Luxemburg
- Unbefristet
- Vollzeit
- Identify issues and recommend best practices for risk management within the organization.
- Lead functional projects and programs that enhance risk assessment and mitigation efforts.
- Collaborate with teams to analyze business trends and their implications for risk management.
- Contribute to process improvements that enhance the effectiveness of risk management strategies.
- Provide guidance and support to team members in executing risk management initiatives.
- 5+ years relevant experience and a Bachelor’s degree OR Any equivalent combination of education and experience.
- Ensure the organization maintains a single, certified, shared understanding of its critical data and key indicators. Deploy enterprise data quality controls and oversee the end-to-end resolution of data quality issues across departments.
- Identify where business glossary definitions conflict across domains, where data quality issues are systemic, where data lineage gaps create blind spots, and where ownership is unclear. Resolve or escalate through the Senior Manager, Data Management Oversight.
- Challenge the first line on the effectiveness of their controls and the completeness of their stewardship. Set acceptance criteria for data capabilities delivered by global stakeholders and data engineering teams and ensure they meet local regulatory requirements before being relied upon.
- Build the reporting oversight framework covering the risk reporting side of RDARR: report inventory, ownership, quality dimensions, and timeliness standards. Execute oversight against BCBS 239 and RDARR principles.
- Independently query and validate data across systems to investigate data quality issues, reconcile key indicators, and verify lineage claims. Produce analytical artefacts — reconciliation analyses, root cause documentation, monitoring logic — as part of the auditable evidence trail.
- Operate on an “evidence-first" principle: every certification, control, and remediation must produce an auditable trail that demonstrates progressive BCBS 239 maturity. Conduct periodic BCBS 239 maturity assessments across the framework. Support the Senior Manager, Data Management Oversight in producing Management Body reports and operate the governance committee cadence.
- Coordinate with global teams to ensure local deliverables stay on track. Escalate when needed. Support the engagement with external advisory partners on implementation activities.
- Equip Data Owners and Data Stewards to succeed: playbooks, templates, training, and hands-on coaching. Lead by example, execute first, then transfer ownership so that data governance becomes embedded in how the organization operates.
- Bachelor’s or Master’s degree in finance, Information Technology, Data Management, or a related field.
- 5 to 8 years of experience in data governance, data quality management, risk reporting, or regulatory compliance within financial services, payments, or technology industries.
- Direct exposure to BCBS 239 principles, EBA guidelines, or ECB supervisory expectations, with a solid understanding of the full RDARR scope covering both risk data aggregation and risk reporting.
- Understanding of regulatory reporting and risk models. Direct experience working with reporting or model validation teams is preferred.
- Understanding of data architecture concepts (such as data mesh, data products, data lineage, end-user computing) sufficient to set requirements and challenge technical delivery against regulatory standards.
- Familiarity with enterprise data platforms and analytics tooling typical of large-scale payment or financial institutions, including cloud-based data warehouses (e.g., GCP BigQuery)
- Experience with data visualization tools (e.g., Tableau, Power BI, Looker), version-controlled analytical workflows (Git) including SQL across multiple dialects, and Python for data manipulation and analysis.
- Knowledge of banking operations, payments, digital banking, or AI and model risk management.
- Familiarity with modern data governance tooling (Collibra or equivalent).
- Demonstrated hands-on experience building and operationalizing data governance capabilities, expanding their coverage. Energized by the challenge of turning data into a trusted, governed asset at the intersection of technology, regulation, and global scale.
- Strong ability to work cross-functionally, coordinating with risk, finance, technology, and compliance teams to deliver shared outcomes. Comfortable engaging with colleagues across different functions and geographies.
- Clear and structured communicator, able to translate technical data governance concepts into language that resonates with business and other stakeholders.