Data Tool Champion - Senior

Peraton•Fort Meade, MD

10d

About The Position

Peraton seeks a Data Tool Champion to support DCDC as the focal point for data literacy and tool adoption within the organization. The role is based in Fort Meade, Maryland, and is responsible for driving a data-driven culture and ensuring effective use of analytics and software tools. The Data Tool Champion serves as the internal liaison between end users and analytics or IT teams and tool vendors, translating business needs into requirements and facilitating development work. The role also supports data quality, governance, platform administration, training, stakeholder advocacy, and reporting on adoption and return on investment.

Requirements

Minimum experience requirement depends on education: 12 years with a bachelor's degree; 10 years with a master's degree; 7 years with a Ph.D.; 16 years with a high school diploma; or 14 years with an associate degree.
Deep understanding of data management, governance, and security.
Proficiency with business intelligence and analytics tools such as Power BI, Tableau, Cognos, or Looker.
Strong communication and stakeholder engagement abilities.
Project management and change management experience.
Ability to translate technical concepts for non-technical audiences.
Training and facilitation skills.
U.S. citizenship is required.
Active TS clearance with the ability to obtain and maintain SCI.

Responsibilities

Drive adoption and usage of data tools by maintaining platform settings and configurations, training new users, and monitoring utilization metrics.
Promote data literacy, accountability, and trust in data across the organization; help business units identify patterns, predict trends, and derive actionable insights.
Design and deliver training programs, demonstrations, workshops, and peer learning sessions; use a train-the-trainer model where appropriate.
Serve as the primary point of contact between end users and analytics or IT teams and tool vendors; define business needs, document requirements, and facilitate development work.
Monitor data flows, identify discrepancies, promote best practices in data handling, and align data governance strategy with organizational goals.
Communicate the value of tools to stakeholders in business terms, build sponsor toolkits, and map tool capabilities to strategic priorities.
Collect user feedback, define evaluation criteria, schedule progress reviews, and recommend workflow or process improvements.
Manage software licensing and platform administration, including access controls and self-service interfaces.
Develop training resources and increase confidence in data-driven decision-making, particularly among non-technical users.
Establish feedback loops, track adoption metrics, conduct regular check-ins, and report on the return on investment of data tools.