Edtech.com's Summary

University of Massachusetts Medical School is hiring a Director of Process Improvements & Data Analytics & Management. The role leads enterprise-wide process optimization initiatives and data strategy within the facilities department, driving continuous improvement, data governance, and advanced analytics to enhance operational efficiency and informed decision-making.

Highlights

Lead process optimization efforts using Lean, Six Sigma, and continuous improvement methodologies.
Develop and manage data governance frameworks and oversee data quality, accessibility, and compliance.
Implement advanced analytics, predictive modeling, automation, and self-service BI tools.
Collaborate closely with IT, leadership, and facilities teams to align initiatives and leverage existing resources.
Communicate strategic insights and progress to executive leadership.
Require expertise in BI platforms such as Power BI, Tableau, or Looker.
Bachelor’s degree required; 10+ years in process improvement, data analytics, or operations.
Lean, Six Sigma certification strongly preferred; change management experience is a plus.
Salary range: $160,000 to $165,000 per year.
Preferred qualifications include master’s degree, knowledge of ERP/CRM systems, predictive analytics, and project management skills.

Director of Process Improvements & Data Analytics & Management Full Description

Overview:

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.

Responsibilities:

Process Improvement Leadership
- Lead enterprise-wide process optimization initiatives within the facilities department to improve efficiency, quality, and scalability.
- Develop and maintain a continuous improvement roadmap aligned with organizational goals.
- Facilitate process mapping, root-cause analysis, and workflow redesign using Lean, Six Sigma, or similar methodologies.
- Establish KPIs, performance dashboards, and operational scorecards to measure and monitor effectiveness.
- Partner with business units to identify bottlenecks, streamline workflows, and implement best practices.
- Drive change management efforts to ensure adoption and long-term sustainability of improvements.
Data Analytics & Management
- Oversee the facilities department data strategy, ensuring data is accurate, accessible, and actionable.
- Implement and maintain data governance frameworks, including data quality standards, stewardship models, and compliance protocols.
- Lead the development of advanced analytics capabilities, including predictive modeling, automation, and self-service BI.
- Collaborate with IT, analytics teams, and business leaders to enhance data architecture, reporting tools, and system integrations.
- Promote data-driven decision-making through training, communication, and user-friendly analytics tools.
- Ensure data security, privacy, and regulatory compliance in partnership with legal and technology teams.
Leadership & Collaboration
- Build strong cross-functional relationships to align improvement and analytics initiatives with business needs.
- This role is focused on strategy, architecture, and frameworks rather than day-to-day operational reporting or ticket-based analytics support.
- 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.
- Communicate insights, progress, and recommendations to executive leadership through presentations and strategic reports.
- Champion a culture of operational excellence, innovation, and continuous learning.

Qualifications:
REQUIRED:

Bachelor’s degree in Business, Operations, Data Analytics, Engineering, or related field;
10+ years of experience in process improvement, data analytics, operations, or related disciplines.
Proven success leading enterprise-level transformation initiatives.
Expertise in Lean, Six Sigma, or similar methodologies (certification strongly preferred).
Strong understanding of data governance, analytics tools, and data architecture.
Experience with BI platforms such as Power BI, Tableau, or Looker.
Exceptional leadership, communication, and stakeholder management skills.
Ability to balance strategic vision with hands-on execution.

PREFERRED:

Masters degree in Business, Operations, Data Analytics, Engineering, or related field;
Experience with ERP, CRM, and workflow automation platforms.
Knowledge of predictive analytics, machine learning concepts, or automation technologies.
Change management expertise (e.g., Prosci/ADKAR).
Strong project management capabilities with a track record of delivering measurable results.

Original Job Description

Overview:

Process Improvement Leadership
- Lead enterprise-wide process optimization initiatives within the facilities department to improve efficiency, quality, and scalability.
- Develop and maintain a continuous improvement roadmap aligned with organizational goals.
- Facilitate process mapping, root-cause analysis, and workflow redesign using Lean, Six Sigma, or similar methodologies.
- Establish KPIs, performance dashboards, and operational scorecards to measure and monitor effectiveness.
- Partner with business units to identify bottlenecks, streamline workflows, and implement best practices.
- Drive change management efforts to ensure adoption and long-term sustainability of improvements.
Data Analytics & Management
- Oversee the facilities department data strategy, ensuring data is accurate, accessible, and actionable.
- Implement and maintain data governance frameworks, including data quality standards, stewardship models, and compliance protocols.
- Lead the development of advanced analytics capabilities, including predictive modeling, automation, and self-service BI.
- Collaborate with IT, analytics teams, and business leaders to enhance data architecture, reporting tools, and system integrations.
- Promote data-driven decision-making through training, communication, and user-friendly analytics tools.
- Ensure data security, privacy, and regulatory compliance in partnership with legal and technology teams.
Leadership & Collaboration
- Build strong cross-functional relationships to align improvement and analytics initiatives with business needs.
- This role is focused on strategy, architecture, and frameworks rather than day-to-day operational reporting or ticket-based analytics support.
- 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.
- Communicate insights, progress, and recommendations to executive leadership through presentations and strategic reports.
- Champion a culture of operational excellence, innovation, and continuous learning.

Qualifications:
REQUIRED:

Bachelor’s degree in Business, Operations, Data Analytics, Engineering, or related field;
10+ years of experience in process improvement, data analytics, operations, or related disciplines.
Proven success leading enterprise-level transformation initiatives.
Expertise in Lean, Six Sigma, or similar methodologies (certification strongly preferred).
Strong understanding of data governance, analytics tools, and data architecture.
Experience with BI platforms such as Power BI, Tableau, or Looker.
Exceptional leadership, communication, and stakeholder management skills.
Ability to balance strategic vision with hands-on execution.

PREFERRED:

Masters degree in Business, Operations, Data Analytics, Engineering, or related field;
Experience with ERP, CRM, and workflow automation platforms.
Knowledge of predictive analytics, machine learning concepts, or automation technologies.
Change management expertise (e.g., Prosci/ADKAR).
Strong project management capabilities with a track record of delivering measurable results.

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Director of Process Improvements & Data Analytics & Management

Edtech.com's Summary

Director of Process Improvements & Data Analytics & Management Full Description

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