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<p>POSITION SUMMARY Manages the daily kitchen utility operations and staff. Areas of responsibilities include dish room operations, night cleaning, back dock cleaning and maintenance, banquet plating and food running. Supervises kitchen employees not actively engaged in cooking (e.g., dishwashers, kitchen helpers, etc.). Strives to continually improve guest and employee satisfaction while maintaining the operating budget. Assist management in hiring, training, scheduling, evaluating, counseling, disciplining, and motivating and coaching employees. Follow all company and safety and security policies and procedures; report accidents, injuries, and unsafe work conditions to manager; complete safety training and certifications. Ensure uniform and personal appearance are clean and professional; maintain confidentiality of proprietary information; protect company assets. Welcome and acknowledge all guests according to company standards; anticipate and address guests service needs. Speak with others using clear and professional language. Develop and maintain positive working relationships with others; support team to reach common goals. Ensure adherence to quality expectations and standards. Move, lift, carry, push, pull, and place objects weighing less than or equal to 50 pounds without assistance. Stand, sit, or walk for an extended period of time. Reach overhead and below the knees, including bending, twisting, pulling, and stooping. Move over sloping, uneven, or slippery surfaces. Perform other reasonable job duties as requested by Supervisors.</p><p><strong>Desired Candidate Profile</strong></p><ul><li>Education: High school diploma or G.E.D. equivalent.</li><li>Related Work Experience: At least 2 years of related work experience.</li><li>Supervisory Experience: At least 1 year of supervisory experience.</li><li>License or Certification: None</li></ul>

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><p>The <strong>IT Project Manager- Data Governanace</strong> is responsible for leading the end-to-end delivery of assigned initiatives, ensuring alignment with the Group's business strategy, regulatory requirements, and digital goals.</p><p><strong>Duties &amp; Responsibilities:</strong></p><p><strong>Metadata Management &amp; Data Catalog:</strong></p><ul><li>Centralized, searchable data catalog covering data assets across on prem, cloud, and hybrid environments</li><li>Automated metadata discovery and harvesting</li><li>Business and technical metadata support, including data definitions, ownership, and usage context</li><li>Ability to document and manage data products and critical data elements</li></ul><p><strong>Data Lineage &amp; Impact Analysis:</strong></p><ul><li>End to end, preferably automated, data lineage (source to target)</li><li>Visual lineage for business and technical users</li><li>Impact analysis to assess downstream effects of changes to data, models, or systems</li><li>Support for SQL, ETL, ELT, BI, and analytics pipelines</li></ul><p><strong>Data Quality Management:</strong></p><ul><li>Definition and monitoring of data quality rules and thresholds</li><li>Support for profiling, validation, and exception management</li><li>Data quality dashboards and scorecards</li><li>Workflow for issue remediation and accountability</li></ul><p><strong>Governance, Stewardship &amp; Workflow:</strong></p><ul><li>Clearly defined governance roles (e.g., Data Owner, Data Steward, Custodian)</li><li>Configurable workflows for approvals, certifications, and issue management</li><li>Policy management and enforcement capabilities</li><li>Evidence and audit trail for governance decisions</li></ul><p><strong>Security, Privacy &amp; Compliance:</strong></p><ul><li>Classification of sensitive and regulated data (e.g., PII, confidential data)</li><li>Integration with enterprise Identity Access Management for role based access control</li><li>Support for privacy regulations and internal data policies</li><li>Data access transparency and auditability</li></ul><p><strong>AI &amp; Analytics Enablement:</strong></p><ul><li>Support for AI ready data governance, including datasets, features, and models</li><li>Trust, explainability, and lineage for AI and advanced analytics use cases</li><li>Alignment with responsible and ethical AI principles</li><li>Integration with analytics and machine learning platforms.</li></ul><p><strong>Integration &amp; Interoperability:</strong></p><ul><li>Native connectors or APIs for data platforms (cloud warehouses, lakes, ETL tools, BI, ML platforms)</li><li>Open architecture to avoid vendor lock in</li><li>Ability to integrate with existing enterprise architecture and tooling</li></ul><p><strong>Scalability &amp; Performance:</strong></p><ul><li>Proven capability to scale across large data estates and multiple domains</li><li>Support for enterprise wide deployment and federated governance models</li><li>High availability, reliability, and performance</li></ul><p><strong>Usability &amp; Adoption:</strong></p><ul><li>Intuitive user experience for both technical and business users</li><li>Self service capabilities with appropriate controls</li><li>Collaboration features (comments, annotations, ownership visibility).</li></ul></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><p><strong>Qualification &amp; Experience:</strong></p><ul><li>Bachelors Degree in Computer Science</li><li>Minimum 6 + Years Experience in data governance ,data management or related discipline.</li><li>Project Management Professional (PMP) or PRINCE2 for core management methodology.</li><li>Professional certification in Data management &amp; Governance</li></ul><p></p></section>