Analytics - Data

Job Description The Technical Data Steward is responsible for the technical data management, governance, integrity and quality of Human Resources data assets for the HR Data Warehouse (Azure) and its platforms. This role ensures that data is properly defined, secured, governed, and usable across systems by partnering with HR business stewards, HR Data Analytics team, engineering teams, and stakeholders. Basic Description Provide technical data stewardship support to the HR Data Analytics team in managing, governing, and optimizing HR data assets. This role ensures data is accurate, secure, and aligned with enterprise data governance standards to support analytics, reporting, and strategic initiatives. Responsibilities Data Governance & Standards Metadata management Enterprise quality controls AI ready metadata Data quality Data lifecycle management Policies and standards compliance Data Management & Technical Oversight Source systems Data stores and warehouses ETL processes and pipelines Business intelligence tools Metadata, Lineage & Cataloging Build and maintain a data catalog, including metadata and business glossary Ensure data definitions, rules, and standards are clearly documented and consistently applied Capture and maintain data lineage (end-to-end technical flows) Data Quality & Issue Resolution Drive root cause analysis of data quality issues and coordinate resolution with Enterprise data and HR Analytics teams Assist in design and implementation data quality audits, controls, and monitoring tools Plan and lead data cleansing and remediation initiatives Security & Risk Management Role-based access (RBAC) Persona based access Row level access Encryption and data protection standards Stakeholder Collaboration Business Data Stewards Data Owners Data Engineering / IT teams Qualifications and Skill Requirements Ability to work seamlessly and professionally across multiple business units and with all levels of the organization Oracle HCM / PeopleSoft data experience Cloud data platforms (Azure Data Lake, Power BI) Data warehousing concepts (Azure) Data integration / ETL processes (SQL Server, DataBricks, Azure) Data quality and data lifecycle management Enterprise platforms (e.g., data catalogs, BI tools, integration tools) Data governance frameworks and best practices Metadata management, lineage, and cataloging Master data management (MDM) Experience implementing data governance capabilities across an organization Desired Skills Strong analytical and problem-solving skills Ability to translate complex technical concepts for non-technical stakeholders Attention to detail and commitment to data accuracyEffective cross-functional communication and collaboration Regulatory and HR reporting alignment #J-18808-Ljbffr