• Generate medical insights from Atria's longitudinal clinical data: surface early signals of disease, characterize how members respond to interventions, and identify population-level trends clinicians can act on. • Build forecasting models on clinical and operational signals: disease progression, biomarker trajectories, member engagement, demand and capacity planning, and other time-series problems. • Lead or contribute to operational analytics: visit patterns, throughput and scheduling, panel composition, vendor performance, member journeys, and the quiet efficiency questions that compound over a year. • Design and execute studies in partnership with clinicians: clear questions, well-controlled comparisons, honest error analysis, and writeups that hold up to clinical scrutiny. • Design and analyze experiments (A/B tests, staged rollouts, quasi-experiments) with appropriate attention to power, multiple comparisons, and the difference between "statistically significant" and "actually mattered". • Author and maintain curated views and dbt models in our Snowflake gold layer, documented well enough that clinicians and operational staff can use them confidently without a Slack DM to you every Tuesday. • Build dashboards and analytical tools in Omni Analytics that clinicians and operational leaders actually use to make decisions. • Partner with the AI Scientists and AI Engineers on the boundary where analytical work meets model training and production systems: contributing ground truth, evaluation datasets, and the clinical framing that keeps their models pointed at the right problem. • Translate clinical and operational questions into well-formed analytical problems, and translate results back into clear recommendations. The translation in both directions is most of the job.

• 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