Data Manager

Join our team as a Data Manager, where you will establish and oversee data management practices, controls, and governance standards across the finance data estate. You will design and implement data quality frameworks, act as a bridge between business requirements and data engineering platforms, and safeguard SOx-relevant data assets. You will work extensively with various teams, including FP&A Analysts, Data Engineers, Product Managers, Data Scientists, Accounting, Tax, Audit, Financial Systems, and Group Reporting teams.

• Establishing and overseeing data management practices, controls, and governance standards across the finance data estate.
• Designing, implementing, and operating data quality frameworks, observability checks, and root-cause remediation to ensure finance data is trusted and fit for purpose.
• Acting as the vital bridge between business requirements, data engineering platforms, and regulatory compliance, while safeguarding SOx-relevant data assets.

• Strong SQL experience writing and managing complex logic, along with scripting skills in Python
• Proficient in data profiling and exploratory data analysis, with hands-on experience in data visualization tools (e.g., Tableau, Microstrategy)
• Experience applying compliance requirements (e.g., GDPR, ethical data handling, responsible AI) to data management initiatives
• 3–5 years in data management, data governance, data quality, or a related role (e.g., data analyst or data engineer with a strong DQ/governance focus)
• Hands-on experience with data cataloguing, lineage, and DQ platforms (e.g., Collibra, Monte Carlo, or equivalent)
• Demonstrated experience implementing DQ rules, dimensions, thresholds/SLOs, and metadata/master data management
• Strong critical thinking, root-cause analysis capabilities, and excellent communication skills across technical and business disciplines
• Experience working with finance data or within SOx / regulated reporting environments
• Experience with cloud data platforms (e.g., Snowflake) including access control, security, and data masking
• Familiarity with modern data engineering practices (dbt, Airflow/Dagster, Git, CI/CD) and Agile delivery frameworks (Scrum/Kanban)
• Experience utilizing AI agents and technologies to improve productivity in governance processes