• Provide subject matter expertise across facility-related data management processes and technical projects. • Ensure data accuracy, integrity, and accessibility across facility operations, maintenance, and asset management systems. • Serve as the subject matter expert (SME) for facility data management practices, standards, and lifecycle governance. • Develop, maintain, and enforce data governance policies to ensure compliance with organizational, federal, and regulatory requirements. • Establish and manage data quality assurance protocols, conduct routine audits, validation checks, and corrective actions to maintain data accuracy, consistency, and reliability. • Ensure digital records, data structures, and metadata adhere to all applicable compliance and retention requirements. • Oversee and validate the implementation and ongoing utilization of facility management systems, ensuring accurate tracking of assets, maintenance activities, and space utilization. • Support the design, development, configuration, and integration of hardware, software, cloud components, and user interfaces as they relate to facility data workflows. • Collaborate with IT, facility operations, and data teams to integrate data systems, streamline workflows, and ensure end-to-end alignment across platforms. • Participate in system configuration, documentation updates, version control, and system testing, including developing test cases and reviewing results. • Maintain system functionality by monitoring operational performance, identifying issues, and supporting the resolution of data-related errors or configuration gaps. • Generate dashboards, metrics, and analytical reports using tools such as Power BI to support operational decisions, planning activities, and performance monitoring. • Define, configure, and maintain Key Performance Indicators (KPIs) aligned with organizational strategy and reporting requirements. • Analyze facility-related data to identify operational trends, inefficiencies, and opportunities for process optimization or cost savings. • Participate in facility team meetings related to asset management, work management, and data-driven initiatives. • Work closely with facility operations, IT, and data teams to ensure accurate data capture, smooth workflow execution, and system alignment with operational needs. • Assist in developing and refining system requirements for facility data, asset tracking, and maintenance workflows, translating stakeholder needs into actionable technical or reporting updates. • Provide user support and training for facility management teams on data entry protocols, reporting tools, system workflows, and data governance practices. • Develop and maintain detailed documentation and standard operating procedures related to data quality processes, system configurations, reporting procedures, and operational guidelines. • Promote and reinforce consistent data entry and governance standards and routine quality assurance practices across teams. • Stay current on best practices, emerging technologies, and industry trends related to facility data management, analytics, and system integration. • Recommend and implement enhancements to improve data accessibility, reporting accuracy, system efficiency, and overall data maturity.

• Develop and implement a set of techniques or analytics applications to transform raw data into meaningful information using data-oriented programming languages and visualization software • Build and evaluate Marketing ML models using First & Third Party Customer Data • Create and manage end-to-end projects including analysis design, execution and summarization of results • Develop scalable data pipelines for feature extraction using various cloud services • Identify, clean, analyze and summarize data, potentially from disparate and complex data sources, to facilitate high quality analyses • Prototype and implement advance solutions to enhance existing ML model performance • Create clear documentation of research plans, results, and conclusions • Present research and recommendations based on research findings to audiences of varying level of experience • Collaborate with data engineering and operations teams to productionize work • Automate processes for recurring analyses or other model building activities, focusing on efficiency • Participate in planning, roadmap, and architecture discussions to help evolve our AI processes to improve revenue-generating products

Role Description We are seeking a Facility Data Manager with at least 8 years of experience to provide subject matter expertise across facility-related data management processes and technical projects. The ideal candidate will be responsible for ensuring data accuracy, integrity, and accessibility across facility operations, maintenance, and asset management systems. This role will play a critical part in improving data-driven decision-making, compliance, and operational efficiency across NASA’s Office of Strategic Infrastructure Facilities and Real Estate Division. - Serve as the subject matter expert (SME) for facility data management practices, standards, and lifecycle governance. - Develop, maintain, and enforce data governance policies to ensure compliance with organizational, federal, and regulatory requirements. - Establish and manage data quality assurance protocols, conduct routine audits, validation checks, and corrective actions to maintain data accuracy, consistency, and reliability. - Ensure digital records, data structures, and metadata adhere to all applicable compliance and retention requirements. - Oversee and validate the implementation and ongoing utilization of facility management systems (e.g., CMMS), ensuring accurate tracking of assets, maintenance activities, and space utilization. - Support the design, development, configuration, and integration of hardware, software, cloud components, and user interfaces as they relate to facility data workflows. - Collaborate with IT, facility operations, and data teams to integrate data systems, streamline workflows, and ensure end-to-end alignment across platforms. - Participate in system configuration, documentation updates, version control, and system testing, including developing test cases and reviewing results. - Maintain system functionality by monitoring operational performance, identifying issues, and supporting the resolution of data-related errors or configuration gaps. - Generate dashboards, metrics, and analytical reports using tools such as Power BI to support operational decisions, planning activities, and performance monitoring. - Define, configure, and maintain Key Performance Indicators (KPIs) aligned with organizational strategy and reporting requirements. - Analyze facility-related data to identify operational trends, inefficiencies, and opportunities for process optimization or cost savings. - Participate in facility team meetings related to asset management, work management, and data-driven initiatives. - Work closely with facility operations, IT, and data teams to ensure accurate data capture, smooth workflow execution, and system alignment with operational needs. - Assist in developing and refining system requirements for facility data, asset tracking, and maintenance workflows, translating stakeholder needs into actionable technical or reporting updates. - Provide user support and training for facility management teams on data entry protocols, reporting tools, system workflows, and data governance practices. - Develop and maintain detailed documentation and standard operating procedures related to data quality processes, system configurations, reporting procedures, and operational guidelines. - Promote and reinforce consistent data entry and governance standards and routine quality assurance practices across teams. - Stay current on best practices, emerging technologies, and industry trends related to facility data management, analytics, and system integration. - Recommend and implement enhancements to improve data accessibility, reporting accuracy, system efficiency, and overall data maturity. Qualifications - Bachelor’s degree in Systems Engineering, Information Systems, Facility Management, Data Management, or other related field. Requirements - At least 8 years of experience in systems engineering, data management, or maintenance and operations. - Familiarity with CMMS platforms and data analytics tools. - Working knowledge of ETL processes, data governance fundamentals, and KPI tracking. - Experience ensuring reporting requirements are met while maintaining high data quality and reporting accuracy. - Excellent problem-solving skills with the ability to analyze complex datasets and provide actionable insights. - Strong attention to detail and commitment to data accuracy. - Effective communication and collaboration skills, with the ability to train and support facility teams. - Knowledge of industry standards and regulatory requirements related to facility data management. - Must be a US Citizen with ability to obtain a NASA background investigation. - Must be able to pass initial and random drug testing. Preferred Skills, Qualifications, Technical Experience, Certifications, etc. - Experience with predictive maintenance tools or facility-related data systems. - Proficiency in SQL, Excel, and data visualization platforms (e.g., Power BI, Tableau) is preferred. - Experience supporting data workflows or enterprise reporting systems. Benefits - Competitive salaries - Education and professional development assistance - Multiple healthcare benefit packages & 24/7 virtual on-demand doctors’ visits - 401K - Civic Leave – time off to support your favorite charity or community - Paid time off for personal leave and holidays

Role Description We are seeking a Data Scientist I who will support the management of complex databases as well as develop, maintain, and document code. The Data Scientist will collect and extract data using a variety of data extraction tools and carry out data management, visualization, and analysis tasks. - Support the development of dashboards, calculations, and reports which may require programming. - Support the development and tuning of machine learning models, which may require programming. - Support the development of infrastructure for cleaning and processing data and running experiments to evaluate system performance. - Mine various data resources for development of key metrics, performance indicators, and general business intelligence useful for planning and service design. - Perform error analysis and suggest and implement improvements. - Other duties as assigned. In addition to the duties listed above, the B Lab is seeking a Data Scientist I to support a five-year, Baltimore-based, adolescent-focused project designed to support youth affected by household and neighborhood challenges. The Data Scientist I will also: - Research best practices and state-of-the-art methodologies that can be applied in the assigned area. - Clean, assess quality and bias, explore, analyze, and visualize data. - Use subject matter expertise to coach data best practices. - Lead and contribute to research dissemination efforts (e.g., professional conferences and peer-reviewed manuscripts). Qualifications - Bachelor’s Degree. - Four years of relevant quantitative research and analytics experience, with at least two of those years including complex programming experience. - Additional education may substitute for required experience and additional related experience may substitute for required education beyond a high school diploma/graduation equivalent, to the extent permitted by the JHU equivalency formula. Requirements - Advanced degree in public health or related field (preferred). - Experience with ArcGIS and conducting longitudinal data analyses (preferred). Benefits - Continuous Improvement - Developing - Data Architecture - Developing - Data Management and Analysis - Developing - Data Tools and Platforms - Developing - Data Validation and Quality Assurance - Developing - Data Visualization - Developing - Machine Learning - Developing - Oral and written communications - Developing - Programming Languages - Developing The core technical skills listed are most essential; additional technical skills may be required based on specific division or department needs. Company Description The B Lab is a community-based research team led by Dr. Terri Powell and housed in the Johns Hopkins Bloomberg School of Public Health. We are dedicated to conducting community-engaged research to support the healthy development of youth in Baltimore and beyond. We bring together faculty and students, community partners, local organizations, and young people to achieve these goals.