Data Governance Specialist

KBR•Beavercreek, OH

1d•Hybrid

About The Position

KBR's National Security Solutions team provides high-end engineering and advanced technology solutions to customers in the intelligence and national security communities. In this position, your work will have a profound impact on the country’s most critical role – protecting our national security. KBR is seeking a mid-level Data Governance Specialist to join our team in Dayton, OH or Remotely. US citizenship and the ability to obtain a Secret Clearance are required. In the role of a Data Governance Specialist, you will provide expertise and strategic vision for the US Air Force as they work to establish a Data Management and Governance framework. This role will require a data governance and management professional with the expertise and experience to assist with strategic direction, as well as tactical guidance, to establish a data governance framework, along with the proper capabilities to support continual data management maturity.

Requirements

Bachelor’s degree required in Computer Science or a related field from an accredited college or university.
8+ years of experience in the data industry
4+ years within a formal Data Governance program.
Experience with contemporary data governance, metadata management, and data catalog platforms such as Collibra, Informatica DG, Alation, Erwin Data Intelligence, or equivalent technologies.
Experience implementing and operationalizing enterprise Data Governance programs from strategy through execution.
Solid understanding of Data Management and Governance concepts
Experience mentoring and coaching Data Governance Analysts and Data Stewards
Experience leading data stewardship workgroups and teams in data management and governance activities
Experience with metadata management, business glossary development, data lineage, and enterprise data cataloging.
Experience conducting data maturity assessments and developing strategic improvement plans.
Knowledge of DoD Data Strategy, Digital Transformation initiatives, and Data-Centric modernization efforts.
Understanding of governance considerations for Artificial Intelligence (AI), Machine Learning (ML), and advanced analytics environments.
Proven ability to establish effective working relationships with stakeholders at different levels
Excellent interpersonal, verbal and written communication skills; technical writing skills a plus
Effective presentation skills
Experience bringing together and working with a team of people with varied backgrounds
Quick learner; flexible; process oriented; highly organized and proactive
Ability to work independently and within a team environment
Critical listening and thinking skills
US Citizenship and the ability to obtain a DoD Secret clearance

Nice To Haves

Master’s degree required in Computer Science or a related field from an accredited college or university.
Familiarity with and understanding of key industry best practices such as the following:
Security and protection of organizational data assets.
Access Control leveraging administrative controls of data access rights for cross-functional users
Data Enrichment services, including data standardization, natural language processing
Data Quality operations that standardize data definitions, implement quality rules, and align with quality management system
Understanding of principles, practices, theories, and/or methodologies associated with the professional disciplines, as outlined in Data Management Body of Knowledge (DMBOK) including Master Data Management
Provide Subject Matter Expertise for data governance and data management concepts

Responsibilities

Expected to work in a fast-paced, team-oriented environment.
Develop & implement Data Governance framework & methodologies including strategy, approach, timelines, objectives & success criteria.
Assess current state of data fidelity, data security, privacy, and data retention.
Contribute to the strategic roadmap for a data governance framework and collaborate with key stakeholders across the community during the design and implementation phases.
Work to identify organizational components within the Data Governance Framework, such as governing body/council comprised of data owners, data stewards, and data architects to drive operational efficiency and manage data during its entire lifecycle.
Develop and maintain metadata standards, business glossaries, data dictionaries, and enterprise data catalogs.
Support data asset inventory, classification, discoverability, and reuse initiatives.
Facilitate trusted data sharing across organizations while ensuring appropriate security and access controls.
Lead data stewardship workgroups, governance councils, and stakeholder engagement activities.
Conduct data management and governance maturity assessments and develop improvement roadmaps.
Develop governance charters, stewardship operating procedures, governance metrics, and decision-rights frameworks.
Provide guidance on governance considerations supporting AI, Machine Learning, advanced analytics, and Digital Engineering initiatives.
Collaborate with domain experts and ensure that the data platforms uphold privacy, security, and compliance requirements.
Collaborate with EA, IT and Data Architects in providing requirements for enabling technologies to support data governance processes, data standards, as well as data quality and data management.
Remain current on new and emerging data governance industry best practices
Participate in strategic planning and tactical decision-making