Bart & Associates, Inc.

• Lead and provide expert support for data collection, data validation, data visualization, and analytics initiatives • Apply disciplined methodologies for the planning, analysis, design, and development of information systems on an enterprise-wide basis or across a business sector • Develop analytical techniques and methodologies to solve complex business and technical problems • Perform strategic systems planning, business information planning, and business analysis • Organize and analyze large volumes of structured and unstructured data sets using data analytical tools • Locate, access, merge, clean, and standardize data from multiple sources, and develop derived metrics • Create and implement data collection and analysis tools using programming languages such as Python, Databricks, SQL, Scala, R, and Java • Design, script, debug, and analyze data engineering solutions • Implement and create machine learning-based tools and processes • Apply distributed and parallel processing technologies (e.g., Spark) to handle big data analytics tasks involving large data volumes • Perform SQL Server data imports from CSV and TXT files • Leverage Excel and Google Suite for data analysis, reporting, and collaboration • Utilize supporting tools and platforms such as Pentaho (data import/transformation), Azure Data Studio, GitHub, and Smartsheet as needed • Document task requirements, work completed, processes, and technical details thoroughly • Communicate effectively with stakeholders across technical and business teams • Operate independently as a subject matter expert in a fast-paced, entrepreneurial environment

• Develop, customize, and maintain PeopleSoft HCM modules • Implement technical solutions supporting business needs • Perform code reviews, troubleshooting, and performance tuning • Ensure compliance with secure coding standards • Support testing, deployments, and production sustainment

• Develop, customize, and maintain PeopleSoft HCM modules • Implement technical solutions supporting business needs • Perform code reviews, troubleshooting, and performance tuning • Ensure compliance with secure coding standards • Support testing, deployments, and production sustainment

• Facilitate PI planning and Agile ceremonies. • Coordinate dependencies across teams. • Remove impediments and drive continuous improvement. • Support alignment between business strategy and ART execution. • Ensure compliance with Agile/SAFe principles.

• Design and maintain enterprise architecture frameworks. • Develop system roadmaps for PeopleSoft and supporting technologies. • Ensure architecture compliance with security and DoD standards. • Provide technical leadership and guidance to development teams. • Define integration strategies and system performance improvements.

• Lead overall program planning, execution, and delivery. • Manage program scope, budget, schedule, and risk. • Oversee PeopleSoft HCM initiatives and ensure compliance with DoD requirements. • Communicate program status to senior leadership and stakeholders. • Coordinate cross-functional teams in a secure environment.

• Define user stories and acceptance criteria. • Manage and prioritize the team backlog. • Collaborate closely with stakeholders and development teams. • Ensure deliverables meet business and mission needs. • Support Agile ceremonies and sprint execution.

• Define user stories and acceptance criteria • Manage and prioritize the team backlog • Collaborate closely with stakeholders and development teams • Ensure deliverables meet business and mission needs • Support Agile ceremonies and sprint execution

• Develop and maintain product strategy, features, and roadmaps • Collaborate with stakeholders to gather requirements and translate mission needs into actionable features • Prioritize backlog based on mission value, risk, and technical readiness • Participate in PI planning and support Agile team execution • Ensure features meet government acceptance criteria and security/compliance requirements • Ensure 508 and Privacy Act compliance for applicable changes

• Lead and provide expert support for data collection, data validation, data visualization, and analytics initiatives • Apply disciplined methodologies for the planning, analysis, design, and development of information systems on an enterprise-wide basis or across a business sector • Develop analytical techniques and methodologies to solve complex business and technical problems • Perform strategic systems planning, business information planning, and business analysis • Organize and analyze large volumes of structured and unstructured data sets using data analytical tools • Locate, access, merge, clean, and standardize data from multiple sources, and develop derived metrics • Create and implement data collection and analysis tools using programming languages such as Python, Databricks, SQL, Scala, R, and Java • Design, script, debug, and analyze data engineering solutions • Implement and create machine learning-based tools and processes • Apply distributed and parallel processing technologies (e.g., Spark) to handle big data analytics tasks involving large data volumes • Perform SQL Server data imports from CSV and TXT files • Leverage Excel and Google Suite for data analysis, reporting, and collaboration • Utilize supporting tools and platforms such as Pentaho (data import/transformation), Azure Data Studio, GitHub, and Smartsheet as needed • Document task requirements, work completed, processes, and technical details thoroughly • Communicate effectively with stakeholders across technical and business teams • Operate independently as a subject matter expert in a fast-paced, entrepreneurial environment