Data Supervisor

State of Nebraska•Lincoln, NE

10d•Onsite

About The Position

The Nebraska Department of Health and Human Services is seeking a people-focused, collaborative Data Supervisor to lead and support an area of its Data Office. The role provides leadership, coaching, and operational support to a discipline-focused group of data professionals, such as Data Engineers or Analytics Engineers, in a fast-paced, modern data environment. The position is located on-site at the Nebraska State Office Building in Lincoln, Nebraska.

Requirements

Bachelor’s degree or equivalent in computer science, information systems, mathematics, engineering, or another related field, and two years of experience in a related information technology discipline such as network infrastructure, coding, systems, or database work.
Experience may substitute for education on a year-for-year basis; one year of experience must be as a project coordinator, leader, or supervisor.

Nice To Haves

Experience in Data Engineering, Data Analytics, Data Governance, or a closely related discipline.
Strong leadership, communication, and interpersonal skills with a people-first mindset.
Ability to manage multiple priorities in a fast-paced environment supporting public-sector programs.
Familiarity with Databricks, Snowflake, Azure, Collibra, and Power BI.
Healthcare, public-sector, or government data experience.
Prior experience supervising or mentoring technical staff.
Understanding of enterprise data governance principles.
Experience working within Agile delivery methodologies.

Responsibilities

Lead, mentor, and support a discipline-focused group of data professionals.
Foster a collaborative, inclusive, growth-oriented team culture grounded in servant leadership.
Communicate priorities, expectations, and deliverables clearly.
Support Agile ceremonies, sprint planning, and day-to-day work coordination.
Remove blockers and help teams maintain momentum and deliver consistently.
Provide high-level technical guidance across Databricks, Snowflake, Azure, Collibra, and Power BI.
Partner with technical leads and architects to uphold engineering standards, documentation practices, and data governance requirements.
Ensure work aligns with DHHS security, compliance, privacy, and data quality expectations.
Balance team capacity, manage workloads, and support effective resource planning.
Collaborate with Program Managers, Product Owners, and business stakeholders to align initiatives and support smooth execution.
Drive continuous improvement through retrospectives, feedback loops, and adoption of best practices.
Identify and implement process improvements that enhance team efficiency and communication.
Support onboarding, training, and cross-skilling of team members.
Monitor team performance metrics and use insights to guide improvement efforts.
Identify risks early and work with partners to mitigate technical, delivery, or operational issues.
Assist in coordinating incident response and issue resolution involving data pipelines or analytics systems.
Encourage innovation through creative problem-solving and exploration of new tools or automation opportunities.