Senior Data Management Analyst

Data governance & stewardship Establish, document, and enforce enterprise data governance policies, standards, roles (stewards/owners), and stewardship processes for Corporate Procurement, Real Estate, Enterprise Security, and related functions. Maintain business glossaries, metadata, and lineage documentation to ensure a single source of truth and common business definitions. Data quality, lineage & auditing Build and operate automated data quality frameworks (profiling, validation, reconciliation) and lineage tracking to detect, escalate, and remediate data issues. Design audit processes and controls to ensure data integrity and regulatory/compliance readiness. Data access, security & controls Implement and manage data access strategies and controls (RBAC, IAM, role-based access, masking, encryption) in collaboration with IT and security teams. Support data classification, privacy requirements, and best practices for handling sensitive data. Data products & architecture support Help design, build, and maintain sustainable data products, pipelines, and architectures (warehouse, lake, Snowflake/Redshift or equivalent) that meet business and analytical needs. Collaborate with engineers to ensure solutions are maintainable, testable, and production-ready. Analytics enablement & tools Provide hands-on support and best-practice guidance for analytical toolchains (Power BI, Databricks, Excel, Python) and ensure data is consumable for reporting and advanced analytics. Leverage data cataloging and lineage tools to increase data discoverability and trust. Operational automation & continuous improvement Automate recurring data management controls and monitoring to reduce manual effort and improve reliability. Identify process gaps and inefficiencies; propose and lead improvements aligned to business priorities. Stakeholder engagement & influence Act as the primary liaison between business leaders (Procurement, Real Estate, Finance, Security) and technical SMEs to translate business needs into governed data solutions. Present findings and recommendations to senior leadership; influence decision-making through data-driven insights and trusted relationships. Leadership & mentoring Provide technical guidance and mentorship to junior data stewards and analysts. Drive cross-team collaboration to deliver measurable outcomes and adoption of governance practices. Required Education: Bachelor's degree in Business (Finance, Accounting), Computer Science, Information Systems, Data Science, or equivalent experience. Experience: 5 years' experience in data management, data engineering, data governance, finance or analytics in an enterprise environment. Core technical skills: Strong SQL and relational database experience. Hands-on experience with ETL/ELT tools and modern data platforms (data warehouse and data lake architectures; Snowflake, Redshift, or equivalent). Proficient in Python for data analysis/automation. Practical experience with data catalog / metadata tools and data lineage solutions. Familiarity with Informatica (Informatica Data Cloud Management/IDMC preferred). Proficiency with analytical and reporting tools: Power BI and Excel required; Databricks experience preferred. Data governance & security: Demonstrated experience implementing data governance, stewardship, metadata management, and data quality processes. Knowledge of data security and access controls (RBAC, IAM) and best practices for handling sensitive data. Communication & influence: Excellent written and verbal communication and presentation skills; ability to interface with senior leadership and technical SMEs. Mindset: Comfortable working in ambiguous environments; able to find and create value through pragmatic solutions and relationship-building. Experience in the insurance industry or working directly with Procurement or Real Estate (lease administration and financials). Experience with cloud data platforms (AWS, Azure, GCP) and related managed services. Experience with data quality tools (Informatica Data Quality) and automated testing/CI pipelines for data. Certifications such as CDMP, CBIP, or cloud/data platform certifications (AWS/GCP/Azure). 2 years mentoring or leading small technical teams.