Data Supervisor

State of Nebraska•Lincoln, NE

3d•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 group of data professionals aligned with the supervisor’s background, such as Data Engineers or Analytics Engineers, in a fast-paced, modern data environment. The position emphasizes servant leadership, communication, team development, process improvement, and delivery of high-quality outcomes. The position is located on-site at the Nebraska State Office Building in Lincoln, Nebraska. The agency does not sponsor or transfer non-immigrant work visas for this position and does not accept STEM OPT (Form I-983).

Requirements

A 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; experience may substitute for education on a year-for-year basis.
At least one year of experience 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 with Agile delivery methodologies.

Responsibilities

Lead, mentor, and support a discipline-focused group of data professionals, such as Data Engineers or Analytics Engineers.
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 coordination of work.
Remove blockers and enable teams to 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 and execute initiatives.
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.