Data Manager

Key ResponsibilitiesAs a Data Manager, you will be responsible for overseeing the end-to-end management of data as a strategic enterprise asset, ensuring data is well-organized, accessible, accurate, and aligned with business and regulatory needs. You will lead a team of data stewards and administrators and coordinate across data engineering, governance, operations, and analytics functions to manage data assets, master and reference data, data lifecycle, and integration activities, acting as the bridge between business and technical stakeholders.Team Leadership: Lead and mentor a team of data stewards, MDM analysts, and data administrators, fostering accountability and continuous improvement across the data management function.Data Asset Management: Maintain a complete inventory of enterprise data assets, including ownership, classification, lineage, sensitivity, and business glossary alignment.Master & Reference Data Management: Define and operate MDM processes for key entities (customers, products, agents, partners) to ensure a single, trusted version of critical data across systems.Data Lifecycle Management: Oversee the full lifecycle of data from creation and capture through storage, archival, and disposal, in line with retention policies and regulatory requirements.Cross-Functional Coordination: Act as the connective layer between Data Engineering, Governance, Operations, Analytics, and business units to ensure consistent data definitions, ownership, and trusted delivery.Data Quality Oversight: Partner with Data Governance to monitor data quality KPIs, drive remediation of quality issues, and embed quality controls at source systems and across data pipelines.Data Integration Management: Coordinate the integration of data from core insurance systems (policy, claims, billing, CRM) into the central data platform, working closely with Data Engineering teams.Business Glossary & Metadata: Maintain a unified business glossary, metadata catalog, and data dictionary in collaboration with data stewards and domain owners.Stakeholder Engagement: Serve as the primary point of contact for business units on data-related requests, definitions, and improvement initiatives.Compliance and Privacy: Ensure data management practices comply with data privacy regulations (e.g., GDPR, local FRA requirements) and internal policies, in close coordination with Governance, Legal, and Compliance teams.Vendor and Tool Management: Manage vendors and tools across MDM, data catalog, data quality, and integration platforms to ensure they deliver value aligned with business needs.Documentation & Standards: Maintain clear and comprehensive documentation of data assets, ownership, data flows, and management standards, and enforce them consistently across the organization.Reporting and Continuous Improvement: Produce periodic reporting on the health of enterprise data (coverage, quality, lineage, steward activity) for the Chief Data Officer and senior leadership, and drive automation and process improvements to scale data management practices.Job SpecificationsBusiness Knowledge / Technical Skills:Bachelor’s degree in Computer Science, Information Systems, Data Management, or related field (Master’s is a plus).6+ years of experience in data management, master data management, data administration, or related roles, with at least 2 years in a leadership or managerial position.Strong understanding of data management principles, data governance, data quality, and master data management practices.Hands-on experience with MDM platforms, data catalog tools (e.g., Informatica Axon, Collibra, Alation), and data quality tools.Solid working knowledge of SQL and major relational database platforms (MSSQL, Oracle, PostgreSQL).Familiarity with ETL and integration tools (Informatica PowerCenter, SSIS, Alteryx) and data warehousing concepts.Working knowledge of data privacy regulations (e.g., GDPR) and insurance regulatory requirements.Experience with business glossaries, metadata management, and data lineage practices.Excellent communication and stakeholder management skills across both business and technical audiences.Strong leadership, team management, problem-solving, and organizational abilities.Familiarity with the DAMA-DMBOK framework; CDMP or related data management certification is a plus.Insurance or financial services industry experience is preferred, and exposure to cloud data platforms (Azure, AWS, or GCP) and modern data architectures is desirable.