Manager Performance Support GWGL

The Manager Performance Support GWGL l eads the Goodwill Great Lakes Performance Support function.

Turns operational, contract, financial, workforce, compliance, quality, and customer data into clear information that supports decisions and improves performance across Food Service and Logistics Support.

RESPONSIBILITY LEVEL:

Leads the Goodwill Great Lakes Performance Support function.

Turns operational, contract, financial, workforce, compliance, quality, and customer data into clear information that supports decisions and improves performance across Food Service and Logistics Support.

Sets team priorities and standards, oversees recurring reports and improvement projects, and works with Corporate Data Analytics, IT, Finance, HR, Compliance, and operational leaders.

Serves as a key resource for GWGL leaders and external stakeholders.

Typically works on projects and initiatives that span 1-2 years.

PRINCIPAL DUTIES:

1.

Set priorities and service standards for the GWGL Performance Support Team.

Lead and develop staff, assign work, remove barriers, and ensure work is completed on time.

2.

Turn operational data and business issues into clear findings, risks, options, and recommendations for leaders, customers, contracting personnel, and other stakeholders.

3.

Lead the development and maintenance of GWGL performance measures, scorecards, targets, and executive reports in line with enterprise standards.

4.

Oversee accurate and timely contract and customer performance reports.

Maintain clear quality checks and respond to urgent requests.

5.

Set priorities for GWGL dashboards, Power BI solutions, data models, and automated reports.

Ensure they are useful, sustainable, and properly managed.

6.

Understand GWGL operations, customer expectations, contract requirements, and business priorities.

Use this knowledge to identify risks, opportunities, and reporting needs.

7.

Lead analysis of operational performance, compliance, quality, sanitation, and service issues.

Recommend measurable improvements and track results.

8.

Set standards for data collection, validation, definitions, documentation, access, and issue resolution across data sources.

Promote responsible use of data and AI tools.

9.

Partner with Corporate Data Analytics, IT Data Engineering, Finance, HR, Compliance, and operational leaders to clarify ownership, follow enterprise standards, and deliver practical local solutions.

10.

Maintains a safe and orderly work environment.

11.

Solves problems of moderate to advanced complexity; able to identify root cause, interpret data and resolve issues.

12.

Leading and Developing Talent: Manages departmental structure, development and training of staff.

Actively networks and sources for positions within the team.

13.

Project and Change Management: Plans and manages projects of low to moderate complexity related to departmental function.

Manages change with direct reports and participates in the leadership coalition that supports the change.

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