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When you join the UMass Chan Medical School team, you join us in advancing together to improve the health and well-being of our diverse communities throughout Massachusetts and across the US and the world. Together, we lead in education, research, health care delivery, and public service. Your life’s work is more than a career. It’s an expression of your passion, intellect, skill, and drive. UMass Chan's commitment to excellence, innovation, competitive benefits, and work-life integration will allow you to build a professionally rewarding career as we work together to better or improve the health of people around the globe.
Category: Administrative Professional
Location: Worcester, MA
Shift: Day
Exempt/Non-Exempt: Exempt
Business Unit: UMass Chan Medical School
Department: School - Facilities Mgt-Admin - W842010
Job Type: Full-Time
Union Code: Non Union Position -W60- Non Unit Professional
Num. Openings: 1
Post Date: April 16, 2026
Work Location: 100% Onsite
Salary Minimum: USD $160,000.00/Yr.
Salary Maximum: USD $165,000.00/Yr.
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.
- 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.
REQUIRED:
- Bachelors 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.
Posting Disclaimer:
This job posting outlines the primary responsibilities and qualifications for the role but is not intended to be an exhaustive list.
Duties and expectations may evolve in response to the needs of the department and the broader institution.
In alignment with our commitment to pay transparency, the base salary range for this position is listed above (exclusive of benefits and retirement).
At UMass Chan Medical School, final base salary offers are determined based on a combination of factors, including your skills, education, and relevant experience.
We also consider internal equity to ensure fair and consistent compensation across our teams.
Please note that the range provided reflects the full base salary range for this position. Offers are typically made within the midrange to allow for future growth and development within the role.
In addition to base pay, UMass Chan offers a comprehensive Total Rewards package, which includes paid time off, medical, dental, and vision coverage, and participation in a 401(a)-retirement plan, with the option to contribute to a voluntary 403(b) plan.
UMass Chan welcomes all qualified applicants and complies with all state and federal anti-discrimination laws.

