Director of Process Improvements & Data Analytics & Management

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    "description": "<h2>Overview</h2>\n<p>The Director of Process Improvements & Data Analytics & Management is a strategic and operational leader in the facilities department responsible for optimizing business processes, elevating enterprise data capabilities, and driving a culture of continuous improvement. This role blends analytical rigor with organizational change leadership within the facilities department, ensuring that processes, systems, and data practices support efficiency, scalability, and informed decision-making. The director partners with executives and cross-functional teams to identify opportunities, implement solutions, and build sustainable frameworks for operational excellence.</p>\n<h2>Responsibilities</h2>\n<ul>\n <li><strong>Process Improvement Leadership</strong>\n  <ul>\n   <li>Lead enterprise-wide process optimization initiatives within the facilities department to improve efficiency, quality, and scalability.</li>\n   <li>Develop and maintain a continuous improvement roadmap aligned with organizational goals.</li>\n   <li>Facilitate process mapping, root-cause analysis, and workflow redesign using Lean, Six Sigma, or similar methodologies.</li>\n   <li>Establish KPIs, performance dashboards, and operational scorecards to measure and monitor effectiveness.</li>\n   <li>Partner with business units to identify bottlenecks, streamline workflows, and implement best practices.</li>\n   <li>Drive change management efforts to ensure adoption and long-term sustainability of improvements.</li>\n  </ul></li>\n <li><strong>Data Analytics & Management</strong>\n  <ul>\n   <li>Oversee the facilities department data strategy, ensuring data is accurate, accessible, and actionable.</li>\n   <li>Implement and maintain data governance frameworks, including data quality standards, stewardship models, and compliance protocols.</li>\n   <li>Lead the development of advanced analytics capabilities, including predictive modeling, automation, and self-service BI.</li>\n   <li>Collaborate with IT, analytics teams, and business leaders to enhance data architecture, reporting tools, and system integrations.</li>\n   <li>Promote data-driven decision-making through training, communication, and user-friendly analytics tools.</li>\n   <li>Ensure data security, privacy, and regulatory compliance in partnership with legal and technology teams.</li>\n  </ul></li>\n <li><strong>Leadership & Collaboration</strong>\n  <ul>\n   <li>Build strong cross-functional relationships to align improvement and analytics initiatives with business needs.</li>\n   <li>This role is focused on strategy, architecture, and frameworks rather than day-to-day operational reporting or ticket-based analytics support.</li>\n   <li>All key initiatives and functions are delivered in close partnership with IT, Leadership, and Facilities teams, ensuring alignment with broader technology standards, avoiding duplication, and leveraging existing expertise and resources.</li>\n   <li>Communicate insights, progress, and recommendations to executive leadership through presentations and strategic reports.</li>\n   <li>Champion a culture of operational excellence, innovation, and continuous learning.</li>\n  </ul></li>\n</ul>\n<h2>Qualifications</h2>\n<p>REQUIRED:</p>\n<ul>\n <li>Bachelor’s degree in Business, Operations, Data Analytics, Engineering, or related field;</li>\n <li>10+ years of experience in process improvement, data analytics, operations, or related disciplines.</li>\n <li>Proven success leading enterprise-level transformation initiatives.</li>\n <li>Expertise in Lean, Six Sigma, or similar methodologies (certification strongly preferred).</li>\n <li>Strong understanding of data governance, analytics tools, and data architecture.</li>\n <li>Experience with BI platforms such as Power BI, Tableau, or Looker.</li>\n <li>Exceptional leadership, communication, and stakeholder management skills.</li>\n <li>Ability to balance strategic vision with hands-on execution.</li>\n</ul>\n<p>PREFERRED:</p>\n<ul>\n <li>Masters degree in Business, Operations, Data Analytics, Engineering, or related field;</li>\n <li>Experience with ERP, CRM, and workflow automation platforms.</li>\n <li>Knowledge of predictive analytics, machine learning concepts, or automation technologies.</li>\n <li>Change management expertise (e.g., Prosci/ADKAR).</li>\n <li>Strong project management capabilities with a track record of delivering measurable results.</li>\n</ul>",
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