Data Governance SME - TS/SCI with Polygraph

Overview

LMI is seeking a Data Governance SME to support our Intelligence Community client.

 

LMI is a consultancy dedicated to powering a future-ready, high-performing government, drawing from expertise in digital and analytic solutions, logistics, and management advisory services. We deliver integrated capabilities that incorporate emerging technologies and are tailored to customers’ unique mission needs, backed by objective research and data analysis. Founded in 1961 to help the Department of Defense resolve complex logistics management challenges, LMI continues to enable growth and transformation, enhance operational readiness and resiliency, and ensure mission success for federal civilian and defense agencies.

 

LMI has been named a 2022 #TopWorkplace in the United States by Top Workplaces! We are honored to be recognized as a company that values a people-centered culture, and we are grateful to our employees for making this possible!

Responsibilities

Serve as a data governance subject matter expert in developing a comprehensive data governance strategy and implementation plan for the Mission Services Headquarters.

• Perform a risk analysis to identify potential data risks and vulnerabilities and propose risk mitigation strategies.
• Create a comprehensive inventory of the organization's data assets.
• Assess the quality of existing data and identify areas for improvement.
• Design a tailored data governance framework that aligns with the organization's objectives and culture.
• Define roles and responsibilities for data management. 
• Map out the data lifecycle from creation to archival or deletion.
• Define processes for data retention and disposal. 
• Assess current data security measures and propose enhancements.
• Develop a strategy for protecting sensitive data.
• Ensure alignment with industry best practices and regulatory requirements.
• Develop training programs to educate employees on data governance principles.
• Raise awareness about the importance of data  management.
• Develop a change management plan to facilitate the adoption of new data governance practices.
• Address cultural and organizational barriers to change.
• Establish a process for reviewing and obtaining approval for the proposed data governance framework and policies.
• Incorporate feedback from key stakeholders.
• Develop a phased implementation roadmap for the data governance initiatives.
• Prioritize tasks based on their impact and feasibility.
• Document all aspects of the data governance framework and policies. 
• Provide knowledge transfer sessions to enable the client to manage and maintain the data governance structure independently.
• Design a continuous improvement plan to regularly review and enhance the data governance framework.
• Establish mechanisms for ongoing support and collaboration.
• Consider legal and ethical implications of data governance. 
• Ensure that the proposed data governance framework aligns with the organization's values and legal obligations.

Qualifications

• A bachelor's degree in a relevant field such as Information Management, Data Science, Computer Science, or a related discipline. 

• Relevant certifications in Data Governance, such as Certified Information Management Professional (CIMP), Certified Data Management Professional (CDMP), or similar certifications. 

• Proven experience working in the field of Data Governance, Information Management, or a related area. 

• In-depth understanding of data protection and privacy regulations (e.g., GDPR, HIPAA, CCPA) and the ability to ensure compliance within an organization. 

• Strong knowledge of data management principles, including data quality, metadata management, data classification, and data lifecycle management.

• Ability to conduct risk assessments related to data and develop strategies for risk mitigation. 

• Familiarity with data management tools and technologies. 

• Knowledge of database systems, data modeling, and data integration. 

• Excellent communication skills, including the ability to convey complex technical concepts to non-technical stakeholders. 

• Strong documentation skills for creating policies, procedures, and reports. 

• Ability to analyze data governance requirements and translate them into actionable plans. 

• Awareness of legal and ethical considerations related to data, including issues of confidentiality, security, and data ownership. 

• Understanding of the industry or sector in which the organization operates, including specific data governance challenges and opportunities.

• TS/S