LTSS Data Foundations Supervisor​/Human Services Supervisor

Position: LTSS Data Foundations Supervisor / Human Services Supervisor 4
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* Working Title:

LTSS Data Foundations Supervisor*
* ** Job Class:
Human Services Supervisor 4*
* ** Agency:
Human Services Dept*
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** Job ** : 97625

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** Location** :
St. Paul

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** Telework Eligible** :
Yes

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** Full/Part Time** :
Full-Time

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** Regular/Temporary** :
Unlimited

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** Who May Apply** :
Open to all qualified job seekers

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** Date Posted** : 10/09/2026

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** Closing Date** : 10/22/2026

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** Hiring Agency/Seniority Unit** :
Human Services Dept / DHS Central Office MMA

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** Division/Unit** : DHS-Central Office / ADSA Team

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** Work Shift/Work Hours** :
Day shift

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** Days of Work** :
Monday - Friday

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** Travel Required** :
No

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** Salary Range:**  $43.36 - $62.21 / hourly; $90,535 - $129,894 / annually

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** Classified Status** :
Classified

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** Bargaining Unit/Union** : 216 - Middle Management Association/MMA

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** FLSA Status** :
Exempt - Executive

+ Designated in Connect 700 Program for Applicants with Disabilities ((Use the "Apply for this Job" box below)./connect
700/) :
Yes

_This position is eligible for_  telework ()   _for applicants who reside in Minnesota or in a bordering state, with supervisory approval and satisfactory performance. If you live in a state bordering Minnesota, you must live within 50 miles or less from the primary work location to be eligible for telework._

The Department of Human Services is unable to provide sponsorship for work visas. Applicants must be eligible to work in the United States at the start of employment. DHS does not participate in E-Verify.

** The work you'll do is more than just a job.*
* At the State of Minnesota, employees play a critical role in developing policies, providing essential services, and working to improve the well-being and quality of life for all Minnesotans. The State of Minnesota is committed to equity and inclusion, and invests in employees by providing benefits, support resources, and training and development opportunities.

The LTSS (Long Term Services and Supports) Data Foundations Supervisor will provide leadership and supervisory oversight to a team of specialists and data analysts that conduct cross-divisional, highly visible, and impactful research and evaluation studies and performance management activities in the Aging and Disability Services Administration (ADSA).

Responsibilities include:

+ Direct a multidisciplinary team of LTSS content experts, psychometricians, assessment quality specialists, data analysts, and business intelligence staff

+ Direct the team to define business needs, research questions, data standards, quality expectations, analytic methods, documentation, and product requirements, and to partner with MNIT, system owners, and data warehouse staff on technical implementation

+ Set priorities, assigns work, reviews methods and products, and sets standards for documentation, quality control, and data governance

The team are content experts on core data that acts as the backbone of LTSS information, research, and business intelligence for the state. This team uses a research, measurement, and strategy lens to strengthen LTSS data assets, MnCHOICES data stewardship, MnCHOICES validity and reliability monitoring, the Person-Level Database (PLD), and business intelligence functions. This work supports data-informed decisions, program integrity, fiscal stewardship, service continuity, and equity-focused, person-centered LTSS operations across ADSA and DHS.

** Minimum Qualifications*
* Demonstrated leadership experience
* * Leadership experience can include:

+ Experience as a supervisor, lead worker, team lead, project lead;

+ Completion of a State of Minnesota leadership program (e.g. ELI, L4);

+ A paid/unpaid position leading a program or chairing a committee (e.g. ERG) - experience must include:

+ 1+ year of experience identifying issues, goals and strategic actions

+ 100+ hours per year time commitment

AND

4 years of professional experience in data, analytics, information management, or program evaluation within long-term services and supports. Experience must include:

+ Experience leading or coordinating development, implementation, or maintenance of data infrastructure within a data warehouse or comparable enterprise data environment. This may include data governance, data standards, data quality, or integration of multiple data sources

+ Experience leading development or implementation of business intelligence, reporting, or analytic products used to support program…