Govini transforms Defense Acquisition from an outdated manual process to a software-driven strategic advantage for the United States. Our flagship product, Ark, supports Supply Chain, Science and Technology, Production, Sustainment, Logistics, and Modernization teams with AI-enabled Applications and best-in-class data to more rapidly imagine, develop, and field the capabilities we need. Today, the national security community and every branch of the military rely on Govini to enable faster and more informed Acquisition decisions.

We are seeking a talented Data Quality Manager to join our Data Product & Operations team. The Data Quality Manager will oversee and manage data across Govini’s Defense Acquisition applications, ensuring its accuracy, consistency, and accessibility. This role is crucial for maintaining the integrity of our data and supporting decision-making processes across the organization.

In order to do this job well, you must be obsessed with quality, clarity, and the relentless pursuit of data perfection. You thrive in murky datasets and love creating order out of chaos. You’re experienced in data quality software to include automated documentation and lineage. You’ve designed data quality strategies and data governance policies and integrated them into numerous diverse data pipelines with continuous monitoring and reporting.

The Data Quality Manager will oversee the day-to-day Data Steward team tasks and help allocate resources for new data initiatives.

This role is a full-time position located out of our offices in Pittsburgh, PA.

This role may require up to 10% travel.

Scope of Responsibilities

• Develop, maintain, and own business logic relative to the transformation and enrichment of Govini data
• Ensure the accuracy, consistency, and completeness of specific data.
• Develop and enforce data standards, policies, and procedures to maintain data integrity and compliance
• Responsible for building, deploying, and maintaining systems for data quality and governance 
• Develop data quality assessment requirements and implement improvement plans to address identified issues
• Work closely with stakeholders across the organization, including Data Engineering and Data Product Managers, to understand data requirements and provide support
• Maintain comprehensive documentation of data sources, definitions, and processes
• Conduct User Acceptance Testing (UAT) after datasets are ingested to ensure adherence to data requirements
• Utilize SQL to query, analyze, and extract data to support business needs
• Provide training and support to team members on data-related topics and best practices

We firmly believe that past performance is the best indicator of future performance.  If you thrive while building solutions to complex problems, are a self-starter, and are passionate about making an impact in global security, we’re eager to hear from you.