Overview

LMI is Seeking a Data Governance SME to aid in developing, deploying, and enforcing policies and procedures that promote efficient, accurate records, and effective information management to ensure data is used and maintained properly across an organization. 

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 2024 Best Places to Work by BuiltIn! 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

As a Data Governance SME, you will develop and deploy information management processes and procedures in accordance with Enterprise policies and standards. You will work in a team environment and support a client Data Governance Council, serving as a liaison between technical and functional data roles, including Data Owners, Stewards, Curators, and business focused roles.

Responsibilities include: 

• Project execution, including but not limited to on-time deliverables that exceed customer expectations, project financial management, project resource management and development, and interfacing with various levels of customer representation (analysts, developers, directors, C-level leadership, GS-15, and SES) 
• Analyze current data architectures and operating environments and make recommendations for future functionality and enhancements 
• Support executive level briefings on data solution architecture, design and technology alternatives 
• Design, develop, implement, and sustain data standards, data models, and data governance policies and procedures as part of a broader enterprise data management program including, but not limited to:
  • Data cataloging and data flow/lineage visualization 
  • Data quality framework, metrics, and adherence to data standards 
  • Data stewardship 
  • Metadata management 
  • Data security and data user management, including equitable and appropriate data access 
  • Data architecture 
• Communicating across varying data roles to solve cross-domain data governance issues 
• Using appropriate data governance, data management, data cataloging, or metadata management software or tools to organize and streamline data governance processes, procedures, and work-flows
• Assist in the development and implementation of data-centric applications and integration services as needed to supplement development teams 
• Leverage a wide-range of big data and cloud technologies to architect solutions that deliver data faster and more accurately to decision-makers 

Qualifications

MINIMUM: 

• Minimum Bachelor’s degree in information technology, computer science, data science, mathematics, statistics, economics, engineering, or a related business or quantitative discipline (Master’s degree preferred) 
• Strong data governance background with deep knowledge of metadata management, data quality management, data integration or data management
• Working knowledge of databases and database structures to enable articulating data concepts between business-focused, functional, and technical data users 
• 6 years of experience in data analysis, metadata management, data quality or a related field with 3 years of experience in Project Management 
• Ability to evaluate business requirements and recommend solutions in the form of products and services 
• Ability to architect and design data-centric solutions 
• Experience with data architecture, data warehousing, and data governance 
• Experience with leading business process reengineering, business process assessment, or business architectural development 
• Experience with developing highly responsive data structures, metadata capture strategies, ontologies, and data dictionaries 
• Experience with leading and/or supporting data operations teams to develop architecture, policies, extract-transform-load (ETL) data pipelines, and data mode 
• Ability to work effectively in teams of technical and non-technical individuals 
• Skill and comfort working in a rapidly changing environment with dynamic objectives and iteration with users 
• Demonstrated ability to continuously learn, work independently, and make decisions with minimal supervision 
• Proven track-record of strong customer communications including feedback gathering, execution updates, and troubleshooting 

PREFERRED EXPERIENCE/SKILLS: 

• Relevant technology and/or data management certifications 
• Hands-on experience with industry leading data governance, data cataloging, data management, metadata management software/tools/platforms 
• Minimum clearance requirement: Ability and willingness to obtain a Secret clearance.