Data & Analytics Division Manager (Internal Hennepin County applicants only)

Hennepin County•Hennepin County, MN

5d•Hybrid

About The Position

Hennepin County is seeking a Data and Analytics Division Manager for the County Assessor's Office. This critical management position oversees the department’s Data and Analytics division and operates under the general direction of the County Assessor/Department Director, in alignment with Hennepin County Core Values. The role is responsible for selecting, training, and developing staff to support diverse and competing functions, including valuation system calibration, assessment creation, data practices responses using the county’s portal, state data submissions, special project oversight, and the department’s data practices, security and records retention program.

Requirements

Bachelor's degree or higher in business administration, or other field appropriate to the position and five years or more of experience in the planning and administration of organizational operations or programs.
Nine or more years of experience in the planning and administration of organizational operations or programs.

Nice To Haves

Working with statistical analysis tools, reporting platforms, or data management systems such as SQL, Python, R, Power BI, ArcGIS, or cloud-based data infrastructure.
Working with assessment data and assessment procedures.
Managing or directing large, data-intensive operational cycles such as annual assessments, audits, or statistical studies.
Leading complex data, analytics, or technology modernization projects, ideally involving cloud platforms or enterprise-scale systems.
Improving organizational processes through automation, workflow redesign, or adoption of modern analytics tools.
Managing assessment operations, valuation processes, or compliance-driven government work.
Supervising or managing staff, including hiring, training, coaching, performance management, and building team culture.
Developing and managing resource plans or division-level operational priorities.
Manage multiple priorities, large projects, and cross-functional initiatives with diverse stakeholders.
Translate operational needs into actionable data insights, dashboards, or scalable solutions.
Build collaborative relationships with internal departments, external jurisdictions, and enterprise IT partners.
Foster an inclusive, equitable, and innovative team environment.
Data governance principles, privacy requirements, security practices, and records retention standards.
Mass appraisal techniques, sales ratio studies, and statutory assessment requirements.
Cloud architecture (especially Azure), data pipelines, data lakes/warehouses, and modern analytics platforms.
ETL/ELT tools, business intelligence systems, and data modeling concepts.
Public-sector equity initiatives, including disparity reduction and inclusive data use.
Demonstrated knowledge of and the ability to successfully apply diversity, equity, and inclusion best practices in efforts to eliminate racial and other disparities.

Responsibilities

Oversee data practices and records management, ensuring statutory compliance, governance, and timely, accurate responses.
Lead development and adoption of modern data and analytics solutions, including cloud infrastructure, automation, and advanced analytics aligned with enterprise architecture.
Improve business processes by translating operational needs into data-driven insights, reusable assets, and scalable reporting tools in collaboration with IT and enterprise data teams.
Direct annual assessment operations, including planning, communication, risk mitigation, standards and instructions development, assessment roll preparation, sales ratio studies, and state reporting to ensure statistically equitable and accurate outcomes.
Guide valuation practices and promote consistent use of mass appraisal techniques, recommending corrective actions when statistical equity issues arise.
Provide strategic leadership across departmental priorities by advising on emerging trends, best practices, and long-term data strategies while fostering innovation and continuous improvement.
Manage a high-performing team responsible for service requests, cross-departmental initiatives, and external partnerships, including efforts related to disparity reduction and sustainability.
Strengthen data governance maturity through development of policies, standards, and training that improve data quality, consistency, and responsible use in alignment with countywide policies and procedures.
Advance organizational readiness by championing new technologies, supporting change management, and building analytics capabilities across staff and partner jurisdictions.
Lead division-level people management, including supervising staff, setting clear expectations, providing coaching and performance feedback, supporting professional development, managing workload and priorities, and fostering an inclusive, collaborative, and accountable team culture.