Data Tool Champion - Senior

Peraton•Fort Meade, MD

11d•$135,000 - $216,000

About The Position

Peraton seeks a Data Tool Champion to support DCDC as the focal point for data literacy and tool adoption. Based in Fort Meade, Maryland, this role drives a data-driven culture and ensures effective use of software and analytics tools. The position promotes trust in data, helps business units uncover patterns and actionable insights, and builds workforce confidence in data-driven decision-making. It also serves as the liaison between end users and analytics or IT teams and tool vendors, translating business needs into documented requirements and facilitating development work.

Requirements

At least 12 years of experience 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.
Active TS clearance, with the ability to obtain and maintain SCI.

Responsibilities

Drive adoption and use 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 draw actionable insights.
Design and deliver training programs, demonstrations, workshops, and peer-based sessions; potentially use a train-the-trainer model to build a community of practice.
Serve as the internal 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 data-handling best practices, and align data governance with organizational goals.
Communicate tool value to stakeholders in business terms, build sponsor toolkits, and connect tool capabilities to strategic priorities.
Collect user feedback, define evaluation criteria, schedule progress reviews, and recommend workflow or process improvements.
Manage software licensing, maintain access controls, and administer self-service interfaces.
Develop training resources and build data acumen, 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.