about 22 hours ago

Logo of Leidos Holdings

Data Operations and Development Lead Gaithersburg, MD

$126k - $227k

Leidos Holdings

USRemote

Looking for an opportunity to make an impact?

Leidos is seeking a Data Operations Lead who will spearhead development and delivery of critical reports, dashboards, and advanced analytics to our business clients within the Federal Government.  In this position, you will utilize your experience in leading a team of data specialists to meet client day to day and strategic data needs that support activities of national importance.

Who we are

Leidos is a Fortune 500® technology, engineering, and science solutions and services leader working to solve the world’s toughest challenges in the defense, intelligence, civil, and health markets.  Leidos’ Digital Modernization group helps the government modernize operations with leading edge AI/ML driven data management and analytics solutions.  We are a trusted partner to both government and highly-regulated commercial customers looking for transformative solutions in mission IT, security, software, engineering, and operations. We work with our customers including the FAA, DOE, DOJ, NASA, National Science Foundation, Transportation Security Administration, Customs and Border Protection, airports, and electric utilities to make the world safer, healthier, and more efficient.

This is a Work from Home position, but the candidate must be located in the Washington D.C. metro area to facilitate meetings with client.

In this role, you will:

  • Work closely with business stakeholders to understand ongoing and future data needs.
  • Build relationships at every level of the organization and develop a deep understanding of the business context.
  • Work with the primary client to prioritize and manage day to day activities, task prioritization, team utilization, and data deliveries, utilizing Agile project and task management.
  • Lead data analytics team members to drive full data lifecycle activities, including new capabilities.
  • Manage day to day operations to ensure all stakeholder commitments are met.
  • Establish, maintain, and coordinate Agile development and operations, including Program Increment Planning.
  • Manage design, development, deployment, and operation of Microsoft Azure based data solutions.
  • Coordinate support from infrastructure and network support teams, vendors, and government service providers.
  • Maintain continuous learning to propose new approaches and solutions to meet client needs.
  • Incorporate best practices in cloud based data infrastructure, data architecture, data quality, data security, data standards, data management, data governance, data engineering, performance optimization, reporting, and analytics.
  • Collaborate with the client to maintain technical roadmap, ensuring incorporation of latest tools and technologies such as Generative AI.
  • Ensure appropriate project knowledge management and documentation.
  • Manage training, knowledge transfer, and support to client data management team and users.

For this position, you must possess:

  • Bachelor’s degree in a relevant field and 12+ years of prior experience.
  • 8+ years of experience leading a Microsoft Azure cloud based data analytics team.
  • Demonstrable ability to communicate well.
  • Experience leading team of data specialists, including business analyst, data architect, data modeler, data engineers, Azure cloud administrator, report developers.
  • Leadership experience delivering enterprise scale cloud data solutions, including reports, dashboards, visualization, data extracts, Ad Hoc query capabilities.
  • Experience implementing Azure cloud native services-based data engineering, data lakehouse, data warehouse, multi-dimensional and normalized data models, reports, data extracts, and other data services.
  • Experience delivering solutions using Azure services such as ADLS, ADF, Synapse Analytics, Apache Spark.
  • Experience with the Microsoft Business Intelligence Stack (Power BI, SQL Server, SSAS, SSRS, and SSIS).
  • Ability to use data query and reporting tools such as SSMS, Power BI, SQL query tools.
  • Ability to conceptualize and articulate use of Azure cloud services-based integrated architecture to deliver data solutions, including access to external data sources such as AWS and on-premises data.
  • Experience managing Agile development and operations, working with a multi-functional team.
  • Understanding of AI/ML and Generative AI solutions and application to data analysis.
  • Strong analytical capabilities with proven problems solving skills.
  • Must be detail oriented, and able to multi-task with good follow through skills.
  • Ability to successfully obtain a government-issued Public Trust clearance.
  • US Citizenship

Not required, but additional education, certifications, and/or experience are a plus:

  • Power BI and Microsoft Azure data analytics related certifications
  • Experience with GenAI and AI/ML
  • Experience supporting data governance, including data catalogs, business glossaries, metadata management
  • Experience with Design Thinking and Human Centered Design, and persona driven solutions.

At Leidos and within our team, the opportunities are boundless. We challenge our staff with interesting assignments that provide them with an opportunity to thrive, professionally and personally. We have a growing portfolio of projects, and for us, helping you grow your career is good business. We’d like to learn more about you, apply today.

Original Posting:

June 13, 2025

For U.S. Positions: While subject to change based on business needs, Leidos reasonably anticipates that this job requisition will remain open for at least 3 days with an anticipated close date of no earlier than 3 days after the original posting date as listed above.

Pay Range:

Pay Range $126,100.00 - $227,950.00

The Leidos pay range for this job level is a general guideline only and not a guarantee of compensation or salary. Additional factors considered in extending an offer include (but are not limited to) responsibilities of the job, education, experience, knowledge, skills, and abilities, as well as internal equity, alignment with market data, applicable bargaining agreement (if any), or other law.