Manager, Data Operations; Data Engineering

Manager, Data Operations (Data Engineering)

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We offer remote work opportunities (AK, AR, AZ, CO, FL, HI, IA, , IL, KS, LA, MD, MN, MO, MT, NE, NV, NM, NC, ND, OK, OR, SC, SD, TN, TX, UT, VA/DC, WA, WI & WY only).

Our Department of Defense contract requires US citizenship and a favorably adjudicated DOD background investigation for this position.

Veterans, Reservists, Guardsmen and military family members are encouraged to apply!

The Manager of Data Operations is responsible for ensuring the reliability, accuracy and availability of data across the enterprise. This role leads a team that manages the execution, monitoring, and optimization of data pipelines, analytics workloads, and ad-hoc data requests. The manager serves as a bridge between data engineering, analytics, and business stakeholders to ensure timely, high-quality data delivery for operational and strategic needs.

• Bachelor's degree in Computer Science, Business, or a related field, or equivalent experience
• U.S. Citizen
• Must be able to receive a favorable Interim and adjudicated final Department of Defense (DoD) background investigation
• 7+ years of experience in data engineering, analytics operations, or related roles
• 3+ years of experience formally leading data teams or managing data operations
• Proficiency with SQL, Python, and at least one modern data platform (Azure, AWS, GCP)
• Strong understanding ETL/ELT tools (ADF, Databricks, Snowflake, Airflow, or similar)
• Strong understanding of BI and analytics tools (Power BI, Tableau, or similar)
• Familiarity with CI/CD, Dev Ops, and data workflow automation concepts
• Excellent communication skills, with the ability to manage technical and non-technical stakeholders

• Experience working in high volume data throughput environment with 24x7 processing
• Experience with Healthcare data
• Experience with Cloud based systems, preferably Azure
• Knowledge of SQLServer and Snowflake

• Oversee daily data operations, including job execution, monitoring, and incident response across cloud and on-prem platforms.
• Maintain data pipelines that support enterprise reporting, dashboards, and analytics use cases.
• Ensure reliability and timeliness of recurring data loads, extracts, and transformations.
• Manage SLAs and uptime for data delivery across multiple systems and domains.

• Coordinate and prioritize ad-hoc data and reporting requests from business units.
• Ensure proper intake, tracking, and fulfillment of one-off or urgent data needs.
• Partner with Data Engineering and Analytics teams to balance ad-hoc and scheduled workloads.
• Establish repeatable processes to convert frequent ad-hoc requests into automated or self-service solutions.

• Lead a team of data engineers and data analysts.
• Provide mentoring, coaching, and performance management.
• Foster collaboration between Operations, Engineering, and Analytics teams.
• Promote a culture of ownership, reliability, and continuous improvement.

• Implement tools and processes for pipeline orchestration, alerting, and error handling.
• Drive automation to reduce manual effort and improve data delivery efficiency.
• Collaborate with Data Architecture and Governance to enforce standards and best practices.
• Contribute to capacity planning, change control, and release management.

• Partner with Data Governance and Quality teams to ensure accuracy and integrity of critical datasets.
• Develop and enforce operational documentation, runbooks, and escalation processes.
• Support audits, compliance reviews, and data retention policies.
• Performs other duties as assigned.
• Regular and reliable attendance is required.
• As needed, assist with application development.

• Communication / People
  
  Skills:
  
  Ability to influence or persuade others under positive or negative circumstances; adapt to different styles; listen critically; collaborate.
• Computer Literacy:
  Ability to function in a multi-system Microsoft environment using Word, Outlook, Tri West Intranet, the Internet, and department software applications.
• Creativity / Innovation:
  Ability to develop unique and novel solutions to problems; view change as necessary.
• Empathy / Customer Service:
  Customer-focused behavior; helping approach, including listening skills, patience, respect, and empathy for another's position.
• Independent Thinking / Self-Initiative:
  Critical thinkers with ability to focus on things which matter most to achieving outcomes; commitment to task to produce outcomes without direction and to find necessary resources.
• Leadership:
  Successfully manage different styles of employees; provide clear direction and effective coaching.
• Organizational
  
  Skills:
  
  Ability to organize people or tasks, adjust to priorities, learn systems, within time constraints and with available resources; detail-oriented.
• Problem Solving / Analysis:
  Ability to solve problems…