160 jobs found

McKesson is an impact-driven, Fortune 10 company that touches virtually every aspect of healthcare. We are known for delivering insights, products, and services that make quality care more accessible and affordable. Here, we focus on the health, happiness, and well-being of you and those we serve - we care. What you do at McKesson matters. We foster a culture where you can grow, make an impact, and are empowered to bring new ideas. Together, we thrive as we shape the future of health for patients, our communities, and our people. If you want to be part of tomorrow's health today, we want to hear from you. The Senior Business Intelligence Analyst is a highly visible, hands-on individual contributor responsible for building and scaling AIM28's analytics, reporting, and value-realization measurement capabilities. Reporting to the AIM28 Finance Lead, this role will design and own end-to-end data models, ETL pipelines, dashboards, and automation solutions that transform complex, fragmented data into trusted insights for executives and program leaders. In addition, this role will support other strategic projects as required. The ideal candidate combines deep technical expertise in SQL, data modeling, BI visualization, automation, and AI-enabled analytics with strong business and finance acumen. Operating as the sole analytics builder within the AIM28 Finance team, this person will create the program's single source of truth for KPI, benefit, investment, and value-realization reporting while driving self-service analytics, reporting automation, and AI-powered insights across the AIM28 portfolio. The Senior Business Intelligence Analyst will lead the development of business intelligence, data visualization, analytics, and reporting automation for the AIM28 program and other strategic projects within U.S. Pharmaceutical Distribution (USPD). AIM28 is McKesson's AI-enabled transformation program, organized around a portfolio of Big Bets, each accountable for delivering measurable business outcomes. This role reports directly into the Sr. Director, Finance (AIM28). This role is the hands-on builder who turns Big Bet data into trusted, automated benefit and value-realization reporting for program leadership and senior executives. The source material varies: some data arrives raw and needs business logic before anyone can use it, some lives in manual files, and some is already visualized in dashboards the business teams built for themselves. You will architect an AI-ready analytics and reporting model that pairs traditional dashboards with AI capabilities such as automated narratives and conversational agents, so stakeholders can self-serve and get to insight faster. Where data is raw, you will establish the transformation logic that makes it consumable. Where reporting lives in manual files or scattered dashboards, you will integrate and standardize it into Big Bet and AIM28 program-level solutions. This is a highly visible individual contributor role. We are looking for a builder with deep SQL proficiency, strong knowledge of data design, and the visualization and storytelling skill to brief senior executives. Expect problems to show up half-defined; your job is to turn them into reliable numbers and clear answers. This role works under the direction of the AIM28 Finance Lead partnering with, Big Bet teams, the transformation office, and McKesson Technology to codify KPI definitions and benefit methodologies into governed data models. The goal is one version of the truth across the program. This is a pure individual-contributor role embedded in Finance, not a role inside a BI or data engineering organization. There is no bench of other BIEs, analytics engineers, or data engineers to hand design, build, or troubleshooting off to, you own the full stack yourself, end to end. Because the role sits in Finance rather than Technology, you should also be comfortable working fluently in financial concepts: ROI, forecasting, variance-to-plan, and business-case logic, gained through direct experience partnering with a business finance or FP&A team. What You'll Do Program & Big Bet reporting Design, build, and maintain the AIM28 program-level and Big Bet-level dashboards that track KPIs, benefits, investments, milestones, and value realization. These dashboards are the single source of truth for program performance. Develop executive-facing reporting for monthly Steering Committee meetings, business reviews, and leadership updates. Translate complex program data into insights leaders can act on. Reporting automation Automate recurring benefit and program reporting end to end. Replace manual, file-based processes with scheduled data flows that are validated and monitored. Find and implement automation opportunities across reporting workflows, including AI capabilities such as automated narratives and summaries that surface insights before anyone asks for them. Data engineering & transformation Build and maintain scalable ETL/ELT pipelines that extract, transform, and clean large, multi-dimensional datasets from multiple sources. These pipelines power the automated Big Bet and AIM28 program-level reporting. Ingest and integrate data from Big Bet teams into harmonized, consumable datasets and data models. Sources include raw operational data, manually maintained files, and dashboards the business built for itself. Establish the business logic that converts raw source data into certified reporting. Document the logic, lineage, and metric definitions well enough that someone else could audit or maintain the work. Design semantic models and curated datasets that people consume today through dashboards and self-service, and that AI agents can consume over time. KPI & benefit frameworks Partner with the AIM28 Finance lead to codify KPI definitions and benefit-realization methodologies into governed data models, so measurement stays consistent across Big Bets. Develop and monitor the KPIs that drive business decisions. Implement data-quality checks, reconciliation, and anomaly detection to protect trust in the numbers. Deep-dive analysis & insights Conduct deep-dive analyses of KPI movements, benefit variances, and program performance questions. Identify root causes and bring conclusions and recommendations to senior leadership. Answer ad hoc analytical questions from program leadership and Big Bet teams. When sources disagree, triangulate across them to validate data fidelity. Self-service & adoption Enable governed self-service analytics for program and Big Bet stakeholders, so fewer questions turn into ad hoc requests or one-off analyses. Own delivery end to end, from requirements and solution design through build, UAT, and adoption. Work with business stakeholders, data engineering, and IT to keep solutions compliant with enterprise data standards. Continuous improvement & influence Prioritize the reporting and automation backlog by business impact and effort. Keep stakeholders current on the roadmap and the trade-offs behind it. Set the standard for analytics practice (data integrity, documentation, versioning) across Big Bet teams, and coach business analysts who build their own reporting. What You Bring A builder's mindset. You take loosely defined problems, work out the business intent behind them, and deliver working solutions end to end: requirements, data model, pipeline, dashboard, adoption. Comfort with ambiguity and imperfect data. Raw extracts, manual spreadsheets, inconsistent definitions, and shifting requirements are the starting point here, not a blocker. Business acumen and financial literacy. You understand core finance concepts, ROI, forecasting, variance-to-plan, business-case logic well enough to hold your own in a finance conversation, not just translate what finance tells you. You have worked directly with a finance or FP&A team before, and you can sit with finance and business partners, understand benefit logic and business cases, and translate between data and business needs. Comfort as a standalone technical IC. This role sits in Finance, not in a BI or data engineering organization. There is no dedicated BIE team, data engineering bench, or technical manager to lean on for design review, code review, or troubleshooting, you are the technical function for AIM28 reporting. You are comfortable being the only builder in the room and owning decisions end to end. A KPI and automation track record. You have developed and monitored KPIs that drive business decisions, and you have built automated reporting systems that replaced manual processes. Executive presence. You have experience communicating and presenting analytical results to senior leadership, in writing and in person. Ownership and judgment. You validate your own outputs, make pragmatic build-versus-reuse trade-offs, and earn trust by being right about the numbers. Organization and prioritization. You manage multiple concurrent workstreams across Big Bets without letting deliverables or timelines slip. Curiosity about AI. You are interested in applying GenAI and agents to reporting, and ideally you have already experimented with them. Technical Skills Expert SQL: complex query development, window functions, and performance tuning on large, multi-dimensional datasets from multiple sources. You write queries that need little post-processing. . click apply for full job details

McKesson is an impact-driven, Fortune 10 company that touches virtually every aspect of healthcare. We are known for delivering insights, products, and services that make quality care more accessible and affordable. Here, we focus on the health, happiness, and well-being of you and those we serve - we care. What you do at McKesson matters. We foster a culture where you can grow, make an impact, and are empowered to bring new ideas. Together, we thrive as we shape the future of health for patients, our communities, and our people. If you want to be part of tomorrow's health today, we want to hear from you. The Senior Business Intelligence Analyst is a highly visible, hands-on individual contributor responsible for building and scaling AIM28's analytics, reporting, and value-realization measurement capabilities. Reporting to the AIM28 Finance Lead, this role will design and own end-to-end data models, ETL pipelines, dashboards, and automation solutions that transform complex, fragmented data into trusted insights for executives and program leaders. In addition, this role will support other strategic projects as required. The ideal candidate combines deep technical expertise in SQL, data modeling, BI visualization, automation, and AI-enabled analytics with strong business and finance acumen. Operating as the sole analytics builder within the AIM28 Finance team, this person will create the program's single source of truth for KPI, benefit, investment, and value-realization reporting while driving self-service analytics, reporting automation, and AI-powered insights across the AIM28 portfolio. The Senior Business Intelligence Analyst will lead the development of business intelligence, data visualization, analytics, and reporting automation for the AIM28 program and other strategic projects within U.S. Pharmaceutical Distribution (USPD). AIM28 is McKesson's AI-enabled transformation program, organized around a portfolio of Big Bets, each accountable for delivering measurable business outcomes. This role reports directly into the Sr. Director, Finance (AIM28). This role is the hands-on builder who turns Big Bet data into trusted, automated benefit and value-realization reporting for program leadership and senior executives. The source material varies: some data arrives raw and needs business logic before anyone can use it, some lives in manual files, and some is already visualized in dashboards the business teams built for themselves. You will architect an AI-ready analytics and reporting model that pairs traditional dashboards with AI capabilities such as automated narratives and conversational agents, so stakeholders can self-serve and get to insight faster. Where data is raw, you will establish the transformation logic that makes it consumable. Where reporting lives in manual files or scattered dashboards, you will integrate and standardize it into Big Bet and AIM28 program-level solutions. This is a highly visible individual contributor role. We are looking for a builder with deep SQL proficiency, strong knowledge of data design, and the visualization and storytelling skill to brief senior executives. Expect problems to show up half-defined; your job is to turn them into reliable numbers and clear answers. This role works under the direction of the AIM28 Finance Lead partnering with, Big Bet teams, the transformation office, and McKesson Technology to codify KPI definitions and benefit methodologies into governed data models. The goal is one version of the truth across the program. This is a pure individual-contributor role embedded in Finance, not a role inside a BI or data engineering organization. There is no bench of other BIEs, analytics engineers, or data engineers to hand design, build, or troubleshooting off to, you own the full stack yourself, end to end. Because the role sits in Finance rather than Technology, you should also be comfortable working fluently in financial concepts: ROI, forecasting, variance-to-plan, and business-case logic, gained through direct experience partnering with a business finance or FP&A team. What You'll Do Program & Big Bet reporting Design, build, and maintain the AIM28 program-level and Big Bet-level dashboards that track KPIs, benefits, investments, milestones, and value realization. These dashboards are the single source of truth for program performance. Develop executive-facing reporting for monthly Steering Committee meetings, business reviews, and leadership updates. Translate complex program data into insights leaders can act on. Reporting automation Automate recurring benefit and program reporting end to end. Replace manual, file-based processes with scheduled data flows that are validated and monitored. Find and implement automation opportunities across reporting workflows, including AI capabilities such as automated narratives and summaries that surface insights before anyone asks for them. Data engineering & transformation Build and maintain scalable ETL/ELT pipelines that extract, transform, and clean large, multi-dimensional datasets from multiple sources. These pipelines power the automated Big Bet and AIM28 program-level reporting. Ingest and integrate data from Big Bet teams into harmonized, consumable datasets and data models. Sources include raw operational data, manually maintained files, and dashboards the business built for itself. Establish the business logic that converts raw source data into certified reporting. Document the logic, lineage, and metric definitions well enough that someone else could audit or maintain the work. Design semantic models and curated datasets that people consume today through dashboards and self-service, and that AI agents can consume over time. KPI & benefit frameworks Partner with the AIM28 Finance lead to codify KPI definitions and benefit-realization methodologies into governed data models, so measurement stays consistent across Big Bets. Develop and monitor the KPIs that drive business decisions. Implement data-quality checks, reconciliation, and anomaly detection to protect trust in the numbers. Deep-dive analysis & insights Conduct deep-dive analyses of KPI movements, benefit variances, and program performance questions. Identify root causes and bring conclusions and recommendations to senior leadership. Answer ad hoc analytical questions from program leadership and Big Bet teams. When sources disagree, triangulate across them to validate data fidelity. Self-service & adoption Enable governed self-service analytics for program and Big Bet stakeholders, so fewer questions turn into ad hoc requests or one-off analyses. Own delivery end to end, from requirements and solution design through build, UAT, and adoption. Work with business stakeholders, data engineering, and IT to keep solutions compliant with enterprise data standards. Continuous improvement & influence Prioritize the reporting and automation backlog by business impact and effort. Keep stakeholders current on the roadmap and the trade-offs behind it. Set the standard for analytics practice (data integrity, documentation, versioning) across Big Bet teams, and coach business analysts who build their own reporting. What You Bring A builder's mindset. You take loosely defined problems, work out the business intent behind them, and deliver working solutions end to end: requirements, data model, pipeline, dashboard, adoption. Comfort with ambiguity and imperfect data. Raw extracts, manual spreadsheets, inconsistent definitions, and shifting requirements are the starting point here, not a blocker. Business acumen and financial literacy. You understand core finance concepts, ROI, forecasting, variance-to-plan, business-case logic well enough to hold your own in a finance conversation, not just translate what finance tells you. You have worked directly with a finance or FP&A team before, and you can sit with finance and business partners, understand benefit logic and business cases, and translate between data and business needs. Comfort as a standalone technical IC. This role sits in Finance, not in a BI or data engineering organization. There is no dedicated BIE team, data engineering bench, or technical manager to lean on for design review, code review, or troubleshooting, you are the technical function for AIM28 reporting. You are comfortable being the only builder in the room and owning decisions end to end. A KPI and automation track record. You have developed and monitored KPIs that drive business decisions, and you have built automated reporting systems that replaced manual processes. Executive presence. You have experience communicating and presenting analytical results to senior leadership, in writing and in person. Ownership and judgment. You validate your own outputs, make pragmatic build-versus-reuse trade-offs, and earn trust by being right about the numbers. Organization and prioritization. You manage multiple concurrent workstreams across Big Bets without letting deliverables or timelines slip. Curiosity about AI. You are interested in applying GenAI and agents to reporting, and ideally you have already experimented with them. Technical Skills Expert SQL: complex query development, window functions, and performance tuning on large, multi-dimensional datasets from multiple sources. You write queries that need little post-processing. . click apply for full job details

McKesson is an impact-driven, Fortune 10 company that touches virtually every aspect of healthcare. We are known for delivering insights, products, and services that make quality care more accessible and affordable. Here, we focus on the health, happiness, and well-being of you and those we serve - we care. What you do at McKesson matters. We foster a culture where you can grow, make an impact, and are empowered to bring new ideas. Together, we thrive as we shape the future of health for patients, our communities, and our people. If you want to be part of tomorrow's health today, we want to hear from you. The Senior Business Intelligence Analyst is a highly visible, hands-on individual contributor responsible for building and scaling AIM28's analytics, reporting, and value-realization measurement capabilities. Reporting to the AIM28 Finance Lead, this role will design and own end-to-end data models, ETL pipelines, dashboards, and automation solutions that transform complex, fragmented data into trusted insights for executives and program leaders. In addition, this role will support other strategic projects as required. The ideal candidate combines deep technical expertise in SQL, data modeling, BI visualization, automation, and AI-enabled analytics with strong business and finance acumen. Operating as the sole analytics builder within the AIM28 Finance team, this person will create the program's single source of truth for KPI, benefit, investment, and value-realization reporting while driving self-service analytics, reporting automation, and AI-powered insights across the AIM28 portfolio. The Senior Business Intelligence Analyst will lead the development of business intelligence, data visualization, analytics, and reporting automation for the AIM28 program and other strategic projects within U.S. Pharmaceutical Distribution (USPD). AIM28 is McKesson's AI-enabled transformation program, organized around a portfolio of Big Bets, each accountable for delivering measurable business outcomes. This role reports directly into the Sr. Director, Finance (AIM28). This role is the hands-on builder who turns Big Bet data into trusted, automated benefit and value-realization reporting for program leadership and senior executives. The source material varies: some data arrives raw and needs business logic before anyone can use it, some lives in manual files, and some is already visualized in dashboards the business teams built for themselves. You will architect an AI-ready analytics and reporting model that pairs traditional dashboards with AI capabilities such as automated narratives and conversational agents, so stakeholders can self-serve and get to insight faster. Where data is raw, you will establish the transformation logic that makes it consumable. Where reporting lives in manual files or scattered dashboards, you will integrate and standardize it into Big Bet and AIM28 program-level solutions. This is a highly visible individual contributor role. We are looking for a builder with deep SQL proficiency, strong knowledge of data design, and the visualization and storytelling skill to brief senior executives. Expect problems to show up half-defined; your job is to turn them into reliable numbers and clear answers. This role works under the direction of the AIM28 Finance Lead partnering with, Big Bet teams, the transformation office, and McKesson Technology to codify KPI definitions and benefit methodologies into governed data models. The goal is one version of the truth across the program. This is a pure individual-contributor role embedded in Finance, not a role inside a BI or data engineering organization. There is no bench of other BIEs, analytics engineers, or data engineers to hand design, build, or troubleshooting off to, you own the full stack yourself, end to end. Because the role sits in Finance rather than Technology, you should also be comfortable working fluently in financial concepts: ROI, forecasting, variance-to-plan, and business-case logic, gained through direct experience partnering with a business finance or FP&A team. What You'll Do Program & Big Bet reporting Design, build, and maintain the AIM28 program-level and Big Bet-level dashboards that track KPIs, benefits, investments, milestones, and value realization. These dashboards are the single source of truth for program performance. Develop executive-facing reporting for monthly Steering Committee meetings, business reviews, and leadership updates. Translate complex program data into insights leaders can act on. Reporting automation Automate recurring benefit and program reporting end to end. Replace manual, file-based processes with scheduled data flows that are validated and monitored. Find and implement automation opportunities across reporting workflows, including AI capabilities such as automated narratives and summaries that surface insights before anyone asks for them. Data engineering & transformation Build and maintain scalable ETL/ELT pipelines that extract, transform, and clean large, multi-dimensional datasets from multiple sources. These pipelines power the automated Big Bet and AIM28 program-level reporting. Ingest and integrate data from Big Bet teams into harmonized, consumable datasets and data models. Sources include raw operational data, manually maintained files, and dashboards the business built for itself. Establish the business logic that converts raw source data into certified reporting. Document the logic, lineage, and metric definitions well enough that someone else could audit or maintain the work. Design semantic models and curated datasets that people consume today through dashboards and self-service, and that AI agents can consume over time. KPI & benefit frameworks Partner with the AIM28 Finance lead to codify KPI definitions and benefit-realization methodologies into governed data models, so measurement stays consistent across Big Bets. Develop and monitor the KPIs that drive business decisions. Implement data-quality checks, reconciliation, and anomaly detection to protect trust in the numbers. Deep-dive analysis & insights Conduct deep-dive analyses of KPI movements, benefit variances, and program performance questions. Identify root causes and bring conclusions and recommendations to senior leadership. Answer ad hoc analytical questions from program leadership and Big Bet teams. When sources disagree, triangulate across them to validate data fidelity. Self-service & adoption Enable governed self-service analytics for program and Big Bet stakeholders, so fewer questions turn into ad hoc requests or one-off analyses. Own delivery end to end, from requirements and solution design through build, UAT, and adoption. Work with business stakeholders, data engineering, and IT to keep solutions compliant with enterprise data standards. Continuous improvement & influence Prioritize the reporting and automation backlog by business impact and effort. Keep stakeholders current on the roadmap and the trade-offs behind it. Set the standard for analytics practice (data integrity, documentation, versioning) across Big Bet teams, and coach business analysts who build their own reporting. What You Bring A builder's mindset. You take loosely defined problems, work out the business intent behind them, and deliver working solutions end to end: requirements, data model, pipeline, dashboard, adoption. Comfort with ambiguity and imperfect data. Raw extracts, manual spreadsheets, inconsistent definitions, and shifting requirements are the starting point here, not a blocker. Business acumen and financial literacy. You understand core finance concepts, ROI, forecasting, variance-to-plan, business-case logic well enough to hold your own in a finance conversation, not just translate what finance tells you. You have worked directly with a finance or FP&A team before, and you can sit with finance and business partners, understand benefit logic and business cases, and translate between data and business needs. Comfort as a standalone technical IC. This role sits in Finance, not in a BI or data engineering organization. There is no dedicated BIE team, data engineering bench, or technical manager to lean on for design review, code review, or troubleshooting, you are the technical function for AIM28 reporting. You are comfortable being the only builder in the room and owning decisions end to end. A KPI and automation track record. You have developed and monitored KPIs that drive business decisions, and you have built automated reporting systems that replaced manual processes. Executive presence. You have experience communicating and presenting analytical results to senior leadership, in writing and in person. Ownership and judgment. You validate your own outputs, make pragmatic build-versus-reuse trade-offs, and earn trust by being right about the numbers. Organization and prioritization. You manage multiple concurrent workstreams across Big Bets without letting deliverables or timelines slip. Curiosity about AI. You are interested in applying GenAI and agents to reporting, and ideally you have already experimented with them. Technical Skills Expert SQL: complex query development, window functions, and performance tuning on large, multi-dimensional datasets from multiple sources. You write queries that need little post-processing. . click apply for full job details

McKesson is an impact-driven, Fortune 10 company that touches virtually every aspect of healthcare. We are known for delivering insights, products, and services that make quality care more accessible and affordable. Here, we focus on the health, happiness, and well-being of you and those we serve - we care. What you do at McKesson matters. We foster a culture where you can grow, make an impact, and are empowered to bring new ideas. Together, we thrive as we shape the future of health for patients, our communities, and our people. If you want to be part of tomorrow's health today, we want to hear from you. The Senior Business Intelligence Analyst is a highly visible, hands-on individual contributor responsible for building and scaling AIM28's analytics, reporting, and value-realization measurement capabilities. Reporting to the AIM28 Finance Lead, this role will design and own end-to-end data models, ETL pipelines, dashboards, and automation solutions that transform complex, fragmented data into trusted insights for executives and program leaders. In addition, this role will support other strategic projects as required. The ideal candidate combines deep technical expertise in SQL, data modeling, BI visualization, automation, and AI-enabled analytics with strong business and finance acumen. Operating as the sole analytics builder within the AIM28 Finance team, this person will create the program's single source of truth for KPI, benefit, investment, and value-realization reporting while driving self-service analytics, reporting automation, and AI-powered insights across the AIM28 portfolio. The Senior Business Intelligence Analyst will lead the development of business intelligence, data visualization, analytics, and reporting automation for the AIM28 program and other strategic projects within U.S. Pharmaceutical Distribution (USPD). AIM28 is McKesson's AI-enabled transformation program, organized around a portfolio of Big Bets, each accountable for delivering measurable business outcomes. This role reports directly into the Sr. Director, Finance (AIM28). This role is the hands-on builder who turns Big Bet data into trusted, automated benefit and value-realization reporting for program leadership and senior executives. The source material varies: some data arrives raw and needs business logic before anyone can use it, some lives in manual files, and some is already visualized in dashboards the business teams built for themselves. You will architect an AI-ready analytics and reporting model that pairs traditional dashboards with AI capabilities such as automated narratives and conversational agents, so stakeholders can self-serve and get to insight faster. Where data is raw, you will establish the transformation logic that makes it consumable. Where reporting lives in manual files or scattered dashboards, you will integrate and standardize it into Big Bet and AIM28 program-level solutions. This is a highly visible individual contributor role. We are looking for a builder with deep SQL proficiency, strong knowledge of data design, and the visualization and storytelling skill to brief senior executives. Expect problems to show up half-defined; your job is to turn them into reliable numbers and clear answers. This role works under the direction of the AIM28 Finance Lead partnering with, Big Bet teams, the transformation office, and McKesson Technology to codify KPI definitions and benefit methodologies into governed data models. The goal is one version of the truth across the program. This is a pure individual-contributor role embedded in Finance, not a role inside a BI or data engineering organization. There is no bench of other BIEs, analytics engineers, or data engineers to hand design, build, or troubleshooting off to, you own the full stack yourself, end to end. Because the role sits in Finance rather than Technology, you should also be comfortable working fluently in financial concepts: ROI, forecasting, variance-to-plan, and business-case logic, gained through direct experience partnering with a business finance or FP&A team. What You'll Do Program & Big Bet reporting Design, build, and maintain the AIM28 program-level and Big Bet-level dashboards that track KPIs, benefits, investments, milestones, and value realization. These dashboards are the single source of truth for program performance. Develop executive-facing reporting for monthly Steering Committee meetings, business reviews, and leadership updates. Translate complex program data into insights leaders can act on. Reporting automation Automate recurring benefit and program reporting end to end. Replace manual, file-based processes with scheduled data flows that are validated and monitored. Find and implement automation opportunities across reporting workflows, including AI capabilities such as automated narratives and summaries that surface insights before anyone asks for them. Data engineering & transformation Build and maintain scalable ETL/ELT pipelines that extract, transform, and clean large, multi-dimensional datasets from multiple sources. These pipelines power the automated Big Bet and AIM28 program-level reporting. Ingest and integrate data from Big Bet teams into harmonized, consumable datasets and data models. Sources include raw operational data, manually maintained files, and dashboards the business built for itself. Establish the business logic that converts raw source data into certified reporting. Document the logic, lineage, and metric definitions well enough that someone else could audit or maintain the work. Design semantic models and curated datasets that people consume today through dashboards and self-service, and that AI agents can consume over time. KPI & benefit frameworks Partner with the AIM28 Finance lead to codify KPI definitions and benefit-realization methodologies into governed data models, so measurement stays consistent across Big Bets. Develop and monitor the KPIs that drive business decisions. Implement data-quality checks, reconciliation, and anomaly detection to protect trust in the numbers. Deep-dive analysis & insights Conduct deep-dive analyses of KPI movements, benefit variances, and program performance questions. Identify root causes and bring conclusions and recommendations to senior leadership. Answer ad hoc analytical questions from program leadership and Big Bet teams. When sources disagree, triangulate across them to validate data fidelity. Self-service & adoption Enable governed self-service analytics for program and Big Bet stakeholders, so fewer questions turn into ad hoc requests or one-off analyses. Own delivery end to end, from requirements and solution design through build, UAT, and adoption. Work with business stakeholders, data engineering, and IT to keep solutions compliant with enterprise data standards. Continuous improvement & influence Prioritize the reporting and automation backlog by business impact and effort. Keep stakeholders current on the roadmap and the trade-offs behind it. Set the standard for analytics practice (data integrity, documentation, versioning) across Big Bet teams, and coach business analysts who build their own reporting. What You Bring A builder's mindset. You take loosely defined problems, work out the business intent behind them, and deliver working solutions end to end: requirements, data model, pipeline, dashboard, adoption. Comfort with ambiguity and imperfect data. Raw extracts, manual spreadsheets, inconsistent definitions, and shifting requirements are the starting point here, not a blocker. Business acumen and financial literacy. You understand core finance concepts, ROI, forecasting, variance-to-plan, business-case logic well enough to hold your own in a finance conversation, not just translate what finance tells you. You have worked directly with a finance or FP&A team before, and you can sit with finance and business partners, understand benefit logic and business cases, and translate between data and business needs. Comfort as a standalone technical IC. This role sits in Finance, not in a BI or data engineering organization. There is no dedicated BIE team, data engineering bench, or technical manager to lean on for design review, code review, or troubleshooting, you are the technical function for AIM28 reporting. You are comfortable being the only builder in the room and owning decisions end to end. A KPI and automation track record. You have developed and monitored KPIs that drive business decisions, and you have built automated reporting systems that replaced manual processes. Executive presence. You have experience communicating and presenting analytical results to senior leadership, in writing and in person. Ownership and judgment. You validate your own outputs, make pragmatic build-versus-reuse trade-offs, and earn trust by being right about the numbers. Organization and prioritization. You manage multiple concurrent workstreams across Big Bets without letting deliverables or timelines slip. Curiosity about AI. You are interested in applying GenAI and agents to reporting, and ideally you have already experimented with them. Technical Skills Expert SQL: complex query development, window functions, and performance tuning on large, multi-dimensional datasets from multiple sources. You write queries that need little post-processing. . click apply for full job details

McKesson is an impact-driven, Fortune 10 company that touches virtually every aspect of healthcare. We are known for delivering insights, products, and services that make quality care more accessible and affordable. Here, we focus on the health, happiness, and well-being of you and those we serve - we care. What you do at McKesson matters. We foster a culture where you can grow, make an impact, and are empowered to bring new ideas. Together, we thrive as we shape the future of health for patients, our communities, and our people. If you want to be part of tomorrow's health today, we want to hear from you. The Senior Business Intelligence Analyst is a highly visible, hands-on individual contributor responsible for building and scaling AIM28's analytics, reporting, and value-realization measurement capabilities. Reporting to the AIM28 Finance Lead, this role will design and own end-to-end data models, ETL pipelines, dashboards, and automation solutions that transform complex, fragmented data into trusted insights for executives and program leaders. In addition, this role will support other strategic projects as required. The ideal candidate combines deep technical expertise in SQL, data modeling, BI visualization, automation, and AI-enabled analytics with strong business and finance acumen. Operating as the sole analytics builder within the AIM28 Finance team, this person will create the program's single source of truth for KPI, benefit, investment, and value-realization reporting while driving self-service analytics, reporting automation, and AI-powered insights across the AIM28 portfolio. The Senior Business Intelligence Analyst will lead the development of business intelligence, data visualization, analytics, and reporting automation for the AIM28 program and other strategic projects within U.S. Pharmaceutical Distribution (USPD). AIM28 is McKesson's AI-enabled transformation program, organized around a portfolio of Big Bets, each accountable for delivering measurable business outcomes. This role reports directly into the Sr. Director, Finance (AIM28). This role is the hands-on builder who turns Big Bet data into trusted, automated benefit and value-realization reporting for program leadership and senior executives. The source material varies: some data arrives raw and needs business logic before anyone can use it, some lives in manual files, and some is already visualized in dashboards the business teams built for themselves. You will architect an AI-ready analytics and reporting model that pairs traditional dashboards with AI capabilities such as automated narratives and conversational agents, so stakeholders can self-serve and get to insight faster. Where data is raw, you will establish the transformation logic that makes it consumable. Where reporting lives in manual files or scattered dashboards, you will integrate and standardize it into Big Bet and AIM28 program-level solutions. This is a highly visible individual contributor role. We are looking for a builder with deep SQL proficiency, strong knowledge of data design, and the visualization and storytelling skill to brief senior executives. Expect problems to show up half-defined; your job is to turn them into reliable numbers and clear answers. This role works under the direction of the AIM28 Finance Lead partnering with, Big Bet teams, the transformation office, and McKesson Technology to codify KPI definitions and benefit methodologies into governed data models. The goal is one version of the truth across the program. This is a pure individual-contributor role embedded in Finance, not a role inside a BI or data engineering organization. There is no bench of other BIEs, analytics engineers, or data engineers to hand design, build, or troubleshooting off to, you own the full stack yourself, end to end. Because the role sits in Finance rather than Technology, you should also be comfortable working fluently in financial concepts: ROI, forecasting, variance-to-plan, and business-case logic, gained through direct experience partnering with a business finance or FP&A team. What You'll Do Program & Big Bet reporting Design, build, and maintain the AIM28 program-level and Big Bet-level dashboards that track KPIs, benefits, investments, milestones, and value realization. These dashboards are the single source of truth for program performance. Develop executive-facing reporting for monthly Steering Committee meetings, business reviews, and leadership updates. Translate complex program data into insights leaders can act on. Reporting automation Automate recurring benefit and program reporting end to end. Replace manual, file-based processes with scheduled data flows that are validated and monitored. Find and implement automation opportunities across reporting workflows, including AI capabilities such as automated narratives and summaries that surface insights before anyone asks for them. Data engineering & transformation Build and maintain scalable ETL/ELT pipelines that extract, transform, and clean large, multi-dimensional datasets from multiple sources. These pipelines power the automated Big Bet and AIM28 program-level reporting. Ingest and integrate data from Big Bet teams into harmonized, consumable datasets and data models. Sources include raw operational data, manually maintained files, and dashboards the business built for itself. Establish the business logic that converts raw source data into certified reporting. Document the logic, lineage, and metric definitions well enough that someone else could audit or maintain the work. Design semantic models and curated datasets that people consume today through dashboards and self-service, and that AI agents can consume over time. KPI & benefit frameworks Partner with the AIM28 Finance lead to codify KPI definitions and benefit-realization methodologies into governed data models, so measurement stays consistent across Big Bets. Develop and monitor the KPIs that drive business decisions. Implement data-quality checks, reconciliation, and anomaly detection to protect trust in the numbers. Deep-dive analysis & insights Conduct deep-dive analyses of KPI movements, benefit variances, and program performance questions. Identify root causes and bring conclusions and recommendations to senior leadership. Answer ad hoc analytical questions from program leadership and Big Bet teams. When sources disagree, triangulate across them to validate data fidelity. Self-service & adoption Enable governed self-service analytics for program and Big Bet stakeholders, so fewer questions turn into ad hoc requests or one-off analyses. Own delivery end to end, from requirements and solution design through build, UAT, and adoption. Work with business stakeholders, data engineering, and IT to keep solutions compliant with enterprise data standards. Continuous improvement & influence Prioritize the reporting and automation backlog by business impact and effort. Keep stakeholders current on the roadmap and the trade-offs behind it. Set the standard for analytics practice (data integrity, documentation, versioning) across Big Bet teams, and coach business analysts who build their own reporting. What You Bring A builder's mindset. You take loosely defined problems, work out the business intent behind them, and deliver working solutions end to end: requirements, data model, pipeline, dashboard, adoption. Comfort with ambiguity and imperfect data. Raw extracts, manual spreadsheets, inconsistent definitions, and shifting requirements are the starting point here, not a blocker. Business acumen and financial literacy. You understand core finance concepts, ROI, forecasting, variance-to-plan, business-case logic well enough to hold your own in a finance conversation, not just translate what finance tells you. You have worked directly with a finance or FP&A team before, and you can sit with finance and business partners, understand benefit logic and business cases, and translate between data and business needs. Comfort as a standalone technical IC. This role sits in Finance, not in a BI or data engineering organization. There is no dedicated BIE team, data engineering bench, or technical manager to lean on for design review, code review, or troubleshooting, you are the technical function for AIM28 reporting. You are comfortable being the only builder in the room and owning decisions end to end. A KPI and automation track record. You have developed and monitored KPIs that drive business decisions, and you have built automated reporting systems that replaced manual processes. Executive presence. You have experience communicating and presenting analytical results to senior leadership, in writing and in person. Ownership and judgment. You validate your own outputs, make pragmatic build-versus-reuse trade-offs, and earn trust by being right about the numbers. Organization and prioritization. You manage multiple concurrent workstreams across Big Bets without letting deliverables or timelines slip. Curiosity about AI. You are interested in applying GenAI and agents to reporting, and ideally you have already experimented with them. Technical Skills Expert SQL: complex query development, window functions, and performance tuning on large, multi-dimensional datasets from multiple sources. You write queries that need little post-processing. . click apply for full job details

Location: Beaverton, OregonJob Type: ContractCompensation Range: $37 - 40 per hourAre you ready to shape the visual identity and aesthetic narrative of high-visibility lifestyle wear and products? Join an industry-leading brand to lead the end-to-end strategy and visual execution of complex graphic artwork, logos, and advanced color systems. This role offers a dynamic platform to leverage cutting-edge AI and visual tools while delivering impactful graphic solutions from concept to production. Responsibilities:Conceptualize and execute dynamic graphic designs across web, industrial, and apparel applications to elevate brand positioning and consumer engagement.Develop complex color palettes and custom artwork through storytelling and visual narratives that align with overarching product strategy.Collaborate with cross-functional partners using digital tools like Miro, Vizcom, and AI software to streamline visual asset creation and workflows.Present strategic creative concepts to leadership, demonstrating a strong rationale for design choices, market trends, and brand alignment. Qualifications:3+ years of specialized experience in color graphics, apparel, or lifestyle design.Proven mastery of Adobe Illustrator, Photoshop, and cutting-edge visual design and AI platforms.Robust portfolio demonstrating exceptional color sensibility, complex graphic development, and narrative-driven process descriptions.Bachelor's degree in Graphic Design (or equivalent experience) paired with high attention to detail and creative problem-solving skills.JobID: JN -57 Opportunity Employer: Race, Color, Religion, Sex, Sexual Orientation, Gender Identity, National Origin, Age, Genetic Information, Disability, Protected Veteran Status, or any other legally protected group status.At Cella, a randstad digital company, we welcome people of all abilities and want to ensure that our hiring and interview process meets the needs of all applicants. If you require a reasonable accommodation to make your application or interview experience a great one, please contact offered to a successful candidate will be based on several factors including the candidate's education, work experience, work location, specific job duties, certifications, etc. In addition, Cella by randstad digital offers a comprehensive benefits package, including: medical, prescription, dental, vision, AD&D, and life insurance offerings, short-term disability, and a 401K plan (all benefits are based on eligibility). This posting is open for thirty (30) days.

Job DescriptionJob Description: QA Specialist I - III Lexical Intelligence provides software and services related to processing large-scale biomedical information sources. Our Natural Language Processing (NLP) and analytics software is used by policy and decision makers to evaluate and prioritize current and emerging areas of research. We are looking for QA Specialists (I - III) to work within the National Library of Medicine (NLM), Lister Hill National Center for Biomedical Communications (LHNCBC), located at Building 38A on the NIH campus in Bethesda, MD. The QA Specialists will have experience in software quality assurance and testing, automated testing frameworks and configuration management, and federal IT compliance and secure software development practices. The QA Specialists will have a firm understanding of software testing methodologies, quality control processes, and federal security and accessibility requirements applicable to government software systems. The QA Specialists shall be able to work well within a team of software developers, DevOps engineers, data scientists, and biomedical informatics professionals. The selected applicant(s) will be subject to a pre-employment background and reference check. Level Descriptions QA Specialist I - Entry to mid-level professional with foundational experience in software quality assurance and testing. Works under supervision, executing defined test plans and contributing to QA activities across the software development lifecycle. Focuses primarily on test execution, defect documentation, and supporting automated testing and accessibility validation efforts. QA Specialist II - Mid to senior-level professional with demonstrated experience leading QA activities across complex software development programs. Works with greater independence, designing test strategies, managing automated testing frameworks, and providing technical guidance to junior QA staff. Contributes to DevSecOps integration, security validation, and accessibility compliance governance. QA Specialist III - Senior-level professional serving as the strategic QA lead for enterprise software quality programs. Provides expert guidance on QA architecture, governance, and process improvement across multi-team development efforts. Leads the design and implementation of enterprise testing frameworks, oversees accessibility and security compliance programs, and serves as the primary QA liaison to government stakeholders and senior leadership. Required Qualifications QA Specialist I 2 years of relevant software quality assurance, testing, or related experience Associate's degree or other degree(s) in Computer Science, Information Technology, Software Engineering, or related fields Experience conducting software testing and quality control across multiple phases of the software development lifecycle, including analysis, design, implementation, testing, deployment, and maintenance Familiarity with automated testing environments and configuration management tools and practices Basic knowledge of secure coding best practices in accordance with US-CERT standards and OWASP guidelines Experience working in or supporting software development in Linux environments, with additional familiarity with Windows, MacOS, or web-based environments Familiarity with common programming languages and environments used in testing and QA, such as Python, Java, JavaScript, or shell scripting Strong written and oral communication skills, including the ability to document test results, defects, and quality metrics clearly and concisely QA Specialist II 4 years of progressive software quality assurance and testing experience, including demonstrated leadership of QA activities on complex software development programs Bachelor's degree or other degree(s) in Computer Science, Information Technology, Software Engineering, or related fields; advanced degree preferred Demonstrated experience designing, implementing, and managing automated testing frameworks and configuration management systems across multiple software development environments Proven ability to develop comprehensive test strategies, test plans, and quality metrics for enterprise-level software applications and tools Experience integrating QA and security validation activities within CI/CD pipelines and DevSecOps frameworks Working knowledge of federal information security requirements, including FISMA compliance considerations relevant to software testing and quality assurance Experience conducting and overseeing Section 508 accessibility testing and validation, including WCAG 2.0 Level A and AA compliance assessment Demonstrated ability to provide technical guidance to junior QA staff and coordinate QA activities across cross-functional development teams QA Specialist III 6+ years of senior-level software quality assurance experience, with demonstrated leadership of enterprise QA programs in federal government or government contracting environments Bachelor's degree or other degree(s) in Computer Science, Information Technology, Software Engineering, or related fields; Master's degree strongly preferred Expert-level experience designing and governing enterprise automated testing frameworks, CI/CD security integration, and DevSecOps quality assurance architectures across large, complex multi-team software development programs Demonstrated strategic leadership in federal software quality governance, including oversight of FISMA compliance validation, security testing programs, and enterprise accessibility conformance initiatives Proven ability to brief and advise senior government officials and program leadership on QA program status, risk, and strategic improvement initiatives Expert knowledge of Section 508 requirements, HHS digital accessibility conformance standards, and federal ICT accessibility governance Demonstrated experience mentoring and leading teams of QA professionals, establishing enterprise quality standards and performance frameworks Preferred Qualifications Experience with Agile and Scrum development frameworks and participation in sprint-based QA activities at varying levels of leadership Familiarity with CI/CD pipeline testing integration using tools such as GitLab, GitHub Actions, Nexus, or equivalent platforms Experience with version control systems such as Bitbucket or GitLab for managing test scripts and QA documentation Knowledge of ticketing and issue tracking systems such as JIRA and documentation platforms such as Confluence Wiki Experience testing web-based and user interface applications, including Responsive and RESTful design standards, and proficiency with graphic design, data visualization, and user-centered design evaluation techniques Familiarity with or experience in web accessibility testing and Section 508 compliance validation, including WCAG 2.0 Level A and AA success criteria, and experience preparing Accessibility Conformance Reports (ACRs) or Supplemental Accessibility Conformance Reports (SARs) Experience testing applications across multiple environments including Linux, Windows, MacOS, Android, web-based, and mobile platforms Experience with cloud computing platforms such as AWS, Google Cloud (GC), or Microsoft Azure and their implications for software testing across IaaS, PaaS, SaaS, and CI/CD configurations Knowledge of containerization tools such as Docker and orchestration platforms such as Kubernetes as they relate to software testing and deployment validation Familiarity with database platforms such as MySQL, MongoDB, MS SQL, PostgreSQL, or Elasticsearch and experience conducting database-level testing and validation Experience testing applications that handle Personally Identifiable Information (PII) or Protected Health Information (PHI), with awareness of applicable privacy and security requirements including FISMA, HIPAA, and NIH data governance policies Familiarity with programming languages and environments such as Python, Java, JavaScript, R, Matlab, SAS, SQL, and Jupyter notebooks as they relate to testing and QA activities Experience with AI, machine learning (ML), deep learning (DL), or natural language processing (NLP) application testing, including validation of model outputs and algorithmic behavior Knowledge of open-source software security and quality requirements in accordance with US-CERT and OWASP standards Relevant certifications such as ISTQB Foundation or Advanced Level, CompTIA Security+, CISSP, or equivalent QA or security credentials (For Levels II and III) Experience managing subcontractor QA activities and coordinating quality assurance across multi-vendor development teams (For Level III) Demonstrated experience developing and delivering QA training programs and establishing enterprise quality governance frameworks for large federal IT programs Responsibilities All Levels Participate as a team member in all phases of software, application, and tool development and maintenance, including analysis, design, implementation, testing, deployment, and maintenance activities in support of NLM/LHNCBC research and development programs Conduct software testing and quality control activities employing automated testing environments and configuration management practices to ensure the accuracy, reliability, and security of software applications and tools Execute functional, regression, integration, and performance testing activities across software applications developed for NLM programs, documenting test cases, test results, and identified defects clearly and accurately . click apply for full job details

Job DescriptionJob Description: QA Specialist I - III Lexical Intelligence provides software and services related to processing large-scale biomedical information sources. Our Natural Language Processing (NLP) and analytics software is used by policy and decision makers to evaluate and prioritize current and emerging areas of research. We are looking for QA Specialists (I - III) to work within the National Library of Medicine (NLM), Lister Hill National Center for Biomedical Communications (LHNCBC), located at Building 38A on the NIH campus in Bethesda, MD. The QA Specialists will have experience in software quality assurance and testing, automated testing frameworks and configuration management, and federal IT compliance and secure software development practices. The QA Specialists will have a firm understanding of software testing methodologies, quality control processes, and federal security and accessibility requirements applicable to government software systems. The QA Specialists shall be able to work well within a team of software developers, DevOps engineers, data scientists, and biomedical informatics professionals. The selected applicant(s) will be subject to a pre-employment background and reference check. Level Descriptions QA Specialist I - Entry to mid-level professional with foundational experience in software quality assurance and testing. Works under supervision, executing defined test plans and contributing to QA activities across the software development lifecycle. Focuses primarily on test execution, defect documentation, and supporting automated testing and accessibility validation efforts. QA Specialist II - Mid to senior-level professional with demonstrated experience leading QA activities across complex software development programs. Works with greater independence, designing test strategies, managing automated testing frameworks, and providing technical guidance to junior QA staff. Contributes to DevSecOps integration, security validation, and accessibility compliance governance. QA Specialist III - Senior-level professional serving as the strategic QA lead for enterprise software quality programs. Provides expert guidance on QA architecture, governance, and process improvement across multi-team development efforts. Leads the design and implementation of enterprise testing frameworks, oversees accessibility and security compliance programs, and serves as the primary QA liaison to government stakeholders and senior leadership. Required Qualifications QA Specialist I 2 years of relevant software quality assurance, testing, or related experience Associate's degree or other degree(s) in Computer Science, Information Technology, Software Engineering, or related fields Experience conducting software testing and quality control across multiple phases of the software development lifecycle, including analysis, design, implementation, testing, deployment, and maintenance Familiarity with automated testing environments and configuration management tools and practices Basic knowledge of secure coding best practices in accordance with US-CERT standards and OWASP guidelines Experience working in or supporting software development in Linux environments, with additional familiarity with Windows, MacOS, or web-based environments Familiarity with common programming languages and environments used in testing and QA, such as Python, Java, JavaScript, or shell scripting Strong written and oral communication skills, including the ability to document test results, defects, and quality metrics clearly and concisely QA Specialist II 4 years of progressive software quality assurance and testing experience, including demonstrated leadership of QA activities on complex software development programs Bachelor's degree or other degree(s) in Computer Science, Information Technology, Software Engineering, or related fields; advanced degree preferred Demonstrated experience designing, implementing, and managing automated testing frameworks and configuration management systems across multiple software development environments Proven ability to develop comprehensive test strategies, test plans, and quality metrics for enterprise-level software applications and tools Experience integrating QA and security validation activities within CI/CD pipelines and DevSecOps frameworks Working knowledge of federal information security requirements, including FISMA compliance considerations relevant to software testing and quality assurance Experience conducting and overseeing Section 508 accessibility testing and validation, including WCAG 2.0 Level A and AA compliance assessment Demonstrated ability to provide technical guidance to junior QA staff and coordinate QA activities across cross-functional development teams QA Specialist III 6+ years of senior-level software quality assurance experience, with demonstrated leadership of enterprise QA programs in federal government or government contracting environments Bachelor's degree or other degree(s) in Computer Science, Information Technology, Software Engineering, or related fields; Master's degree strongly preferred Expert-level experience designing and governing enterprise automated testing frameworks, CI/CD security integration, and DevSecOps quality assurance architectures across large, complex multi-team software development programs Demonstrated strategic leadership in federal software quality governance, including oversight of FISMA compliance validation, security testing programs, and enterprise accessibility conformance initiatives Proven ability to brief and advise senior government officials and program leadership on QA program status, risk, and strategic improvement initiatives Expert knowledge of Section 508 requirements, HHS digital accessibility conformance standards, and federal ICT accessibility governance Demonstrated experience mentoring and leading teams of QA professionals, establishing enterprise quality standards and performance frameworks Preferred Qualifications Experience with Agile and Scrum development frameworks and participation in sprint-based QA activities at varying levels of leadership Familiarity with CI/CD pipeline testing integration using tools such as GitLab, GitHub Actions, Nexus, or equivalent platforms Experience with version control systems such as Bitbucket or GitLab for managing test scripts and QA documentation Knowledge of ticketing and issue tracking systems such as JIRA and documentation platforms such as Confluence Wiki Experience testing web-based and user interface applications, including Responsive and RESTful design standards, and proficiency with graphic design, data visualization, and user-centered design evaluation techniques Familiarity with or experience in web accessibility testing and Section 508 compliance validation, including WCAG 2.0 Level A and AA success criteria, and experience preparing Accessibility Conformance Reports (ACRs) or Supplemental Accessibility Conformance Reports (SARs) Experience testing applications across multiple environments including Linux, Windows, MacOS, Android, web-based, and mobile platforms Experience with cloud computing platforms such as AWS, Google Cloud (GC), or Microsoft Azure and their implications for software testing across IaaS, PaaS, SaaS, and CI/CD configurations Knowledge of containerization tools such as Docker and orchestration platforms such as Kubernetes as they relate to software testing and deployment validation Familiarity with database platforms such as MySQL, MongoDB, MS SQL, PostgreSQL, or Elasticsearch and experience conducting database-level testing and validation Experience testing applications that handle Personally Identifiable Information (PII) or Protected Health Information (PHI), with awareness of applicable privacy and security requirements including FISMA, HIPAA, and NIH data governance policies Familiarity with programming languages and environments such as Python, Java, JavaScript, R, Matlab, SAS, SQL, and Jupyter notebooks as they relate to testing and QA activities Experience with AI, machine learning (ML), deep learning (DL), or natural language processing (NLP) application testing, including validation of model outputs and algorithmic behavior Knowledge of open-source software security and quality requirements in accordance with US-CERT and OWASP standards Relevant certifications such as ISTQB Foundation or Advanced Level, CompTIA Security+, CISSP, or equivalent QA or security credentials (For Levels II and III) Experience managing subcontractor QA activities and coordinating quality assurance across multi-vendor development teams (For Level III) Demonstrated experience developing and delivering QA training programs and establishing enterprise quality governance frameworks for large federal IT programs Responsibilities All Levels Participate as a team member in all phases of software, application, and tool development and maintenance, including analysis, design, implementation, testing, deployment, and maintenance activities in support of NLM/LHNCBC research and development programs Conduct software testing and quality control activities employing automated testing environments and configuration management practices to ensure the accuracy, reliability, and security of software applications and tools Execute functional, regression, integration, and performance testing activities across software applications developed for NLM programs, documenting test cases, test results, and identified defects clearly and accurately . click apply for full job details

Description : The Senior Manager, Commercial Analytics & Business Intelligence, is a pivotal, hands-on leader within the Commercial Operations function as DBV-Technologies prepares for its first U.S. commercial launch in Peanut Allergy. Reporting to the Head of Commercial Operations & Analytics, this individual will help design and build the commercial analytics engine from the ground up - the dashboards, data pipelines, KPIs, and insights that turn a first-launch biotech into a decision-ready organization. In a first-launch environment, analytics is not a back-office reporting function - it is a core strategic capability. Every targeting decision, segmentation model, incentive plan, and performance review depends on trustworthy data and sharp interpretation. This role sits at the intersection of business strategy, advanced analytics, and commercial execution, serving as a key partner to Marketing, Sales Leadership, Market Access, Forecasting, Finance, and Executive Leadership. The insights this individual produces will directly shape how the organization launches, learns, and refines its go-to-market model. The ideal candidate pairs deep technical fluency - advanced SQL, strong Python, modern BI, and applied AI - with the business acumen and executive communication skills to influence senior stakeholders without formal authority. This is deliberately not a reporting-only profile: we are looking for a builder who is equally comfortable architecting a data model, engineering an automated pipeline, and standing in front of leadership to tell the story the numbers reveal. Location : Warren, New Jersey - minimum 3 days on site Salary Range : $150-180k Key Responsibilities : Analytics, Reporting & Performance Management • Design, build, and maintain commercial analytics, reporting, dashboards, KPIs, and performance-management processes that give leadership a real-time view of launch performance against plan. • Develop KPI scorecards, trend analyses, and variance reporting for business performance reviews with senior leadership. • Translate complex, multi-source analyses into clear, actionable recommendations for executive decision-making. Data Sources & Commercial Insights • Develop insights from pharmaceutical patient, prescriber, claims, specialty pharmacy, hub, and market access data sources, integrating disparate feeds into coherent business narratives. • Build and maintain the analytical layer connecting Xponent, LAAD, claims, specialty pharmacy/hub, and payer data into usable, trustworthy assets. Launch Planning, Targeting & Field Effectiveness • Support launch planning through HCP-level targeting, segmentation, and call-plan analytics that focus field resources where they matter most. • Provide incentive compensation (IC) analytics and field force effectiveness measurement, quantifying the relationship between promotional activity and downstream prescribing. • Evaluate targeting and segmentation model performance post-launch and recommend refinements based on observed results. Forecasting, Finance & Scenario Analysis • Partner with Forecasting and Finance to evaluate business scenarios, performance drivers, and resource-allocation trade-offs. • Provide analytical support that connects performance data to budget cycles, long-range planning, and executive reporting. Data Governance & Best Practices • Drive data governance, documentation standards, and analytical best practices so the organization's data assets are reliable, compliant, and reusable. • Build scalable, automated pipelines and reporting to reduce manual effort and increase speed and accuracy. AI & Advanced Analytics • Identify high-value AI use cases and translate them into measurable business outcomes, applying LLMs, generative and agentic AI, and automation to improve commercial processes and decision-making. • Apply traditional machine learning and statistical methods (predictive modeling, segmentation, propensity) where they add commercial value. Qualifications : Required • 8-10 years of progressive experience in pharmaceutical analytics, commercial operations, business intelligence, or a closely related field. • Advanced SQL proficiency, with the ability to write, optimize, and maintain complex queries against large commercial datasets. • Strong Python skills for data engineering, automation, analytics, and predictive modeling. • Hands-on experience with BI and visualization platforms such as Power BI, Tableau, or similar tools. • Demonstrated experience with pharmaceutical commercial datasets, including IQVIA Xponent, IQVIA LAAD, claims data, specialty pharmacy and hub data, market access / payer data, and HCP-level targeting and segmentation datasets. • Demonstrated success supporting pharmaceutical product launches, including targeting, segmentation, IC analytics, and field force effectiveness. • Exceptional executive communication and storytelling skills, with a proven ability to influence cross-functional stakeholders without formal authority. • Comfort operating in a fast-paced, ambiguous, prelaunch environment, balancing strategic thinking with hands-on execution. • Bachelor's degree required, preferably in a quantitative discipline (Statistics, Economics, Mathematics, Engineering, Life Sciences, or related field). Preferred • Experience supporting specialty, immunology, allergy, rare disease, or biologic product launches. • Familiarity with cloud-based analytics environments and modern data architectures (e.g., AWS, Azure, Databricks, Snowflake). • Experience applying AI within commercial pharmaceutical organizations - including LLMs, generative AI, agentic AI, and automation tooling. • Experience with statistical analysis, predictive analytics, and data science methodologies. • Experience within emerging biotech companies or resource-constrained, high-growth environments. • Advanced degree (MBA, MS, or PhD) in a quantitative or business discipline. Behavioral skills : Curiosity: Keep on exploring uncharted territories. Always ask "why?" and more importantly "why not?", Courage: Take smart risks, mentor each other to always do better & be accountable for our choices, our opinions, and our actions, Collaboration: Teamwork and spirit. Support each other and be equally involved in the achievement of our common goals, Credibility: Be transparent, follow through and build trust. Educate ourselves about our unique technology.

About GreenPath GreenPath Financial Wellness is a national nonprofit organization dedicated to empowering people to lead financially healthy lives. We provide counseling, education, and innovative solutions to help individuals and families achieve their financial goals. Our mission-driven culture values collaboration, integrity, and continuous improvement. Position Purpose The Business Analyst serves as a critical liaison between business stakeholders, Product Management, data teams, and IT delivery teams. This role is responsible for leading requirements gathering and analysis across both IT application and data initiatives, ensuring business needs are translated into clear, actionable specifications for system creation, enhancements, data solutions, reporting, and analytics. The Business Analyst partners closely with Product Managers, Product Owners and stakeholders to drive high-quality, user-centered solutions that align with organizational strategy and deliver measurable business value. Main Responsibilities & Duties Business & Requirements Analysis Elicit, analyze, and document clear functional and non functional requirements by partnering closely with Product Managers, Product Owners, business stakeholders and technical stakeholders Ask appropriate curiosity questions to uncover implicit needs (e.g., performance, security, scalability, usability, compliance) to resolve ambiguity and translate complex business problems into precise, testable requirements that reduce rework and drive high quality delivery. Translate needs into clear specifications, including requirements documents, user stories, acceptance criteria, and process diagrams. Identify requirements interdependencies and, as appropriate, work with the Product Owner, Scrum Master and/or technical team to determine development order. Document data lineage, transformations, and calculations in application requirements. Data & Analytics Requirements Analysis Lead requirements gathering for data initiatives, including reports, dashboards, visualizations, and analytics solutions. Lead the effort to document and control project scope and gather stakeholder signoff on scope and requirements Analyze and document source data structures, data transformations, and data warehouse mappings. Perform data discovery and validation to ensure reporting and analytics solutions meet business requirements. Create and maintain enterprise data assets such as data catalogs, data dictionaries, and data flow diagrams. Contribute to enterprise data strategy in collaboration with Data Engineers, Product Owners, and Data Analysts. Solution Delivery & Collaboration Work closely with Developers, Data Engineers, and Infrastructure teams to ensure shared understanding of requirements and solution design. Incorporate usability, user experience, and human-centered design principles into solution definition. Support agile delivery teams by maintaining backlogs, refining user stories, and providing ongoing clarification during development. Testing, Release & Change Enablement Contribute to user acceptance testing (UAT), including test case creation, execution support, and defect triage. Support release activities and deployments. Assist with training, documentation, and communication to support adoption of delivered solutions. Continuous Improvement & Innovation Leverage AI and automation tools to improve efficiency in creating requirements, user stories, and test artifacts. Participate in brainstorming and discovery sessions related to data trends, data quality, process improvement, and innovation. Promote continuous improvement, quality outcomes, and stakeholder satisfaction. Perform other duties as assigned. Professional Knowledge, Skills & Abilities Bachelor's degree in Information Technology, Business, or a related field, or equivalent experience. 3-5 years of experience as a business analyst, including requirements gathering for application development, data, reporting, or analytics initiatives. GreenPath experience may be substituted. Experience writing clear business and technical requirements and test specifications preferred. Experience with Agile methodologies (Scrum, Kanban) preferred. Experience using tools and/or writing requirements for salesforce or PowerBI strongly preferred. Familiarity with tools such as Azure DevOps, Vizio, Drawio, Figma, Mural, CoPilot preferred. Experience documenting requirements for data projects involving SQL, Power BI, and relational or dimensional data models preferred. Familiarity or eagerness to learn data warehousing, operational reporting, and business intelligence concepts. Experience in financial services or call center environments preferred. Qualities & Characteristics Strong analytical and problem-solving skills with high attention to detail. Demonstrated agility in critical thinking and proactive inquiry to gain deeper understanding. Ability to understand complex business processes and technical concepts. Self-motivated, dependable, and able to manage multiple priorities. Committed to quality, continuous improvement, and delivering value on time and within scope. Communication Skills Excellent written, verbal, and interpersonal communication skills. Ability to translate complex technical concepts into clear, business-friendly language and vice versa. Skilled facilitator of meetings and workshops that drive alignment and actionable outcomes. Strong collaborator who builds effective relationships across business and technical teams. Working Conditions & Physical Requirements This position is primarily sedentary, desk-based work. On an infrequent basis, after hours/weekend work to assist with releases or project deadlines is necessary. Travel is less than 5%. Benefits At GreenPath, we offer a comprehensive benefits package designed to support your well-being and professional growth: Competitive salary and performance-based incentives Health, dental, and vision insurance 403(b) retirement plan with employer contributions Generous paid time off and holidays Tuition reimbursement and professional development opportunities Mission-driven work environment focused on making a positive impact Equal Employment Opportunity Statement GreenPath is an Equal Opportunity Employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or veteran status.

ISS Database Engineer Department: Information & System Support Role Type: Individual Contributor Why This Role Matters This role helps Member Operations transform scattered data into trusted insights that improve service, decision-making, and operational efficiency. By strengthening the data warehouse, reporting tools, and data quality practices, this role enables leaders and stakeholders to access accurate information when they need it. What You'll Do Support the consolidation of Member Operations data sources into a centralized data warehouse that improves access, consistency, and usability. Collaborate with business and technical partners to turn data needs into practical warehouse designs, reporting solutions, and technology road maps. Maintain data architecture, schemas, data models, data dictionaries, and ETL processes that support accuracy, integrity, and scalability. Improve data quality by streamlining data flow, validating information, and reducing outdated, unused, or duplicate records. Develop dashboards, reports, trend analyses, and visualizations that help leaders monitor performance and make informed decisions. Serve as a liaison between Member Operations divisions and enterprise IT to support existing systems, databases, SharePoint sites, and new technology needs. Contribute to projects, compliance requirements, and process improvements by delivering timely, reliable data solutions aligned with business priorities. Why You'll Love This Role You'll help build a centralized data foundation that directly improves how Member Operations supports its stakeholders. You'll work at the intersection of business strategy and technology, partnering with both operational leaders and IT experts. You'll turn complex data into clear, meaningful insights that influence decisions and improve processes. You'll strengthen hands-on expertise in data warehousing, ETL, data modeling, reporting, and business intelligence tools. You'll contribute to high-impact projects that support innovation, compliance, data quality, and long-term technology growth. Experience: Required 2 -3 years data warehouse maintenance experience to include design, ETL, and automated processes Experience maintaining large, complex, and raw data sets in databases Experience working in a fast-paced environment and ability to balance priorities from multiple initiatives Preferred Financial services industry and IT servicing and origination systems experience Experience with data processing and enterprise software applications Skills & Knowledge: Required Intermediate SQL and database administration skills Statistical intuition, application, and knowledge of various analytical approaches Ability to work in a fast-paced environment and balance priorities from multiple initiatives Data display skills and working knowledge of Crystal Reports/SSRS/PowerBI/Tableau or similar applications Demonstrated ability to translate large volumes of data into insights Proficient with Microsoft Office Products including Access, Excel, Visio, and PowerPoint Strong analytical, technical and conceptual skills with attention to detail Results oriented with a strong focus on the customer (both internal & external) Effective time management and prioritization skills Strong service orientation to align needed support to the desired business outcome Extensive knowledge of data processing and enterprise software applications. Preferred Excellent SQL and database administration skills Education: Required High school education or equivalent Preferred Bachelor's degree in Computer Science, Information Systems, related field of study OR equivalent relevant work experience and knowledge Licenses & Certifications: Preferred Certifications in database management and administration Schedule: Monday-Friday, 8:30 am-5:30 pm Compensation Details: Paygrade: 2BC The expected pay range for this position is $78,416.00 - $82,831.50 annually/hourly. Credit Human is committed to equitable and transparent compensation practices. Final compensation is determined based on a variety of factors, including experience, skills, qualifications, internal equity, and geographic work location. This role may also be eligible for: Bonus opportunity up to 7% Employees are eligible for a comprehensive benefits package, including: Medical, dental, and vision insurance Pension Paid time off and company holidays Tuition reimbursement To get to know Credit Human and learn more about our benefits, visit our careers page at Job Location: This position is onsite based in San Antonio, TX Credit Human conducts employment background checks that may be used for decisions related to employment. Standard checks include NCUA Administrative and Prohibited Orders, ChexSystems, employment verification, criminal history (convictions and outstanding warrants within the past seven years), and degree verification (if applicable). Additional checks may include motor vehicle records, credit checks, or fingerprinting depending on the role. Applicants must be currently authorized to work in the United States on a full-time basis. Credit Human is committed to equitable and transparent pay practices. The compensation range listed above represents a good-faith estimate of what we expect to pay for this position at the time of posting. Final compensation will be determined based on experience, qualifications, internal equity, and business needs.

Thales Defense & Security, Inc. (TDSI) Headquartered in Clarksburg, MD, is a U.S. company that has been serving domestic and international defense Air, Land and Sea domains for 60+ years. With over 1,000 employees, TDSI and its four subsidiaries (Advanced Acoustic Concepts, Digital Receiver Technology, Tampa Microwave, and Trusted Cyber Technologies), supports U.S. Joint Services, special operations forces and multi-national partners with a variety of communication, visualization, signal intelligence/electronic warfare, and sensor/sonar capabilities. TDSI's key technologies include tactical handheld radios, expeditionary satellite terminals, helmet-mounted displays, optics and target recognition capability, advanced radars, undersea sensing and missile systems. Lives depend on what we do! Top Benefits (Subject to terms of applicable policies/plans) Competitive Salary Yearly Incentive Compensation Plan Medical insurance for self and eligible family members Generous 401(k) program- up to 7% company contribution and 100% immediate vesting Tuition Reimbursement Paid wellness, vacation, and holiday leave Paid maternity, paternity, and parental leave 9/80 Work Schedule (every other Friday off) Hybrid working environment We are excited to announce that we have an opening in our Germantown, MD office for a Principal Systems Engineer , which will focus on our EW/SIGINT line of Digital Receiver Technology (DRT) products.DRT is a highly regarded innovative SIGINT/EW system solution provider for the US military, Five-Eyes, and Intelligence Community. We develop state-of-the-art RF transceivers, DF antennas, and extensive signal processing exploitation, geolocation, and electronic attack applications. DRT has a broad, comprehensive, multi-disciplined development engineering team with on-site production facilities. DRT is a commercial product house who works closely with their customers to customize the product line to solve complex real operational problems. It has the benefits and attractiveness of a small company with the support of a larger organization. Responsibilities Provide systems engineering expertise with developing SW Defined Radios for SIGINT and EW applications. Provide systems engineering guidance with signals exploitation, geolocation techniques, precision PNT, RF jamming modalities, information assurance, IA, and Cyber security. Lead product development systems activities/teams with use case analysis, requirements capture, allocation, and derivation, architectural analysis and design, system level testing, integration, verification and validation efforts, and transition to manufacturing. Support Business Development with customer meetings, product presentations and demonstrations, requirements elicitation, architecture development, and systems implementation. Provide subject matter expertise as a project design authority of HF, UHF, VHF, and SHF SIGINT and EW systems. Provide systems engineering expertise with SIGINT/EW solutions integration into military platforms and larger Enterprise level collection systems Lead complex systems integration efforts of multi-disciplined engineering teams. Develop technical proposals and support cost estimation and evaluate competing product and solution offerings. Represent Thales at relevant industry forums. Serve as a customer liaison, supporting design reviews and other technical interchanges. Support field installation, testing, evaluation, and troubleshooting of equipment, along with government acceptance testing. Qualifications The requirements listed below are representative of the knowledge, skill, and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. U.S. Citizenship Required- along with the ability to obtain and maintain U.S. Top Secret or SCI Level Security Clearance upon hire (current TS/SCI preferred). BSEE, BSCS, or equivalent. MSEE, MSCS or equivalent preferred 8+ years as a Design/ Systems Engineer. Must have strong presentation and writing skills. Fluent in English. Experience with system level design, development, and testing of tactical, secure, state-of-the-art military communications systems. Experience with requirements elicitation, decomposition, traceability, and lifecycle management. Knowledge of RF design, Digital design, Software design, and Information Security. Experience working in a laboratory environment with RF and Digital test equipment. Preferred Qualifications Experience with developing Software Defined Radios. Experience with developing SIGINT/EW systems. Experience integrating SIGINT/EW systems into platforms and Enterprise collection systems. Experience working with Direction Finding, DF, and Time Difference of Arrival, TDOA collection systems. Experience with signals exploitation and Electronic Attack SW development. Information Assurance and Cyber security experience. The annualized pay range for this role is $149,702-$191,286 USD along with a target incentive compensation plan (ICP) of 5% . The pay range provided is a good faith estimate representative of the experience level for the role described above. TDSI considers several factors when extending an offer, including but not limited to, the role, function and associated responsibilities, a candidate's work experience, location, education/training, and key skills. For specific questions about this job posting, candidates may contact talent acquisition at . Thales Defense & Security, Inc. is committed to non-discrimination as applicable under federal, state and local laws. We are an E-Verify Employer. If you need an accommodation or assistance in order to apply for a position with Thales Defense & Security, Inc., please call Human Resources at .

Description The Program Analyst II serves as a Mid-Level Privacy Analyst responsible for supporting the analysis, protection, dissemination, and reporting of privacy-related information to program stakeholders. The position supports the safeguarding of personally identifiable information, or PII, and assists with the effective execution and continuous improvement of privacy program operations. The analyst identifies and documents user and stakeholder requirements, evaluates business processes and supporting platforms, and recommends improvements to workflows, procedures, reporting, and program delivery. The position requires the ability to independently manage assignments, analyze complex information, prepare high-quality reports and briefings, and exercise sound judgment in resolving programmatic and operational issues. This is a customer-facing and stakeholder-facing position. The analyst must be comfortable representing the program during meetings, briefings, conferences, training sessions, and other internal or external engagements. The Program Analyst II may also mentor junior analysts, coordinate assignments, and perform quality assurance reviews of team deliverables. This position requires onsite support five days per week in Washington, DC. Duties and Responsibilities Conduct detailed reviews, analyses, and preparation of privacy-related reports, assessments, correspondence, briefings, and other program documentation. Assist the Site Lead and program leadership in evaluating the effectiveness, efficiency, quality, and timeliness of program delivery. Independently manage assigned workstreams, recurring program activities, and short-lead suspense assignments. Analyze program information, identify trends and potential issues, and develop actionable recommendations for leadership and stakeholders. Develop program strategies, issue papers, briefing materials, background documentation, decision-support materials, and supporting analyses. Identify, document, validate, and communicate user, customer, and stakeholder requirements. Evaluate existing business processes, systems, platforms, and workflows to determine whether they meet operational and stakeholder needs. Develop, document, and improve business processes, standard operating procedures, workflow diagrams, job aids, and internal controls. Support the design, implementation, testing, and maintenance of automated workflows and business applications. Create and maintain program analyses, dashboards, reports, trackers, performance metrics, schedules, and management tools. Apply data analytics techniques to evaluate program performance, identify anomalies and trends, and support data-informed decision-making. Perform quality control and quality assurance reviews of reports, analyses, correspondence, data, and other work products before submission. Review work products for completeness, accuracy, consistency, formatting, timeliness, and compliance with program requirements. Mentor and provide day-to-day guidance to junior analysts, including reviewing work products, sharing best practices, and supporting professional development. Assist with coordinating analyst assignments, deadlines, deliverables, workload priorities, and program schedules. Perform customer success and stakeholder engagement activities to ensure stakeholders understand program reports, findings, processes, available services, and recommended actions. Prepare and deliver briefings, training, demonstrations, and program updates to customers, stakeholders, and senior leadership. Professionally represent the program at conferences, workshops, meetings, working groups, outreach events, and other stakeholder engagements. Support conference planning, exhibit coordination, presentations, stakeholder engagement, and post-event follow-up activities. Conduct open-source research and analysis, as required, to support privacy-related reviews, investigations, reporting, and program objectives. Support the entry, validation, maintenance, and analysis of program information within databases, case management systems, workflow tools, and other software platforms. Document, organize, prioritize, and track tasks, reports, data requests, memoranda, formal correspondence, action items, and other program documentation. Maintain program performance metrics and conduct reviews for errors, missing information, incorrect data formats, timeliness, schedule compliance, and submission requirements. Prepare materials for conferences, meetings, appointments, briefings, telephone calls, and stakeholder engagements. Draft, review, edit, and proofread memoranda, letters, standard operating procedures, reports, presentations, training materials, and executive correspondence. Provide project management, administrative, and coordination support for program initiatives, special projects, and recurring activities. Assist with administrative requirements, including training records, building access requests, calendars, meeting coordination, and program events. Perform other duties consistent with the responsibilities of a mid-level privacy and program analyst. Requirements Required Qualifications Demonstrated experience handling, safeguarding, reviewing, analyzing, or managing personally identifiable information. Knowledge of confidentiality, privacy, data protection, and information-handling requirements. Excellent analytical, critical-thinking, and problem-solving skills. Ability to independently evaluate information, identify issues, and develop practical recommendations. Excellent verbal and written communication skills. Demonstrated experience drafting and editing reports, memoranda, correspondence, briefings, procedures, and other professional work products. Experience developing, documenting, implementing, or improving business processes, workflows, and standard operating procedures. Experience performing quality assurance, quality control, proofreading, or editorial review. Ability to manage multiple assignments, priorities, deadlines, and short-notice requests with limited supervision. Ability to complete assignments accurately and on time while following established policies, procedures, and general guidance. Ability to communicate analytical, technical, privacy-related, or programmatic information to technical and nontechnical stakeholders. Ability to prepare and provide briefings and training to senior leaders, customers, and program stakeholders. Ability to professionally represent the program at conferences, meetings, workshops, working groups, and other stakeholder-facing events. Ability to mentor, guide, and support junior staff. Proficiency with Microsoft Office applications, including Word, Excel, PowerPoint, Outlook, and Teams. Willingness and ability to travel frequently. Must be a U.S. Citizen. Must be eligible to obtain and maintain a federal security clearance. Preferred Qualifications Experience supporting a federal government privacy, data protection, compliance, records management, investigative, or information management program. Open-source intelligence or OSINT research and analysis experience. Experience conducting open-source investigations and preparing analytical reports. Experience with data analytics, data visualization, performance measurement, dashboards, or trend analysis. Proficiency with Microsoft Power Apps, Power Automate, Power BI, SharePoint, or related Microsoft Power Platform applications. Experience developing or supporting automated workflows, low-code applications, case management systems, or business process management tools. Experience writing and implementing standard operating procedures, process guides, job aids, workflow documentation, and internal controls. Experience preparing and presenting conference materials, executive briefings, training, correspondence, and meeting materials. Experience working directly with senior government officials, executives, customers, or other senior stakeholders. Experience mentoring junior analysts or coordinating the work of a small team. Experience in both government and private-sector work environments. Current active security clearance, with eligibility to obtain a Top Secret clearance. Relevant privacy, information management, project management, analytics, intelligence, or compliance certification. Education and Experience Bachelor's degree or higher in Business Administration, Computer Science, Data Analytics, Information Technology, Law, Public Administration, Criminal Justice, Intelligence Studies, or a related discipline. Three or more years of relevant professional experience as a privacy analyst, program analyst, management analyst, intelligence analyst, data analyst, investigative analyst, or in a similar role. A master's degree or directly relevant graduate-level education may substitute for a portion of the professional experience requirement. Additional directly relevant professional experience may be considered in place of a portion of the education requirement, subject to applicable contract requirements. Core Competencies Privacy and PII safeguarding Program and operational analysis Analytical research and report writing Data analysis and performance measurement . click apply for full job details

Quick Position Facts! Location: Virginia Beach, Virginia at our G2 Ops office. Work Setting: In-Office with Hybrid or Flexible Schedule Available Based on Program Requirements Salary Range: $140,000 - $165,000 plus comprehensive benefits package. Years of Industry Experience: 10 + years of relevant experience. Security Clearance Requirement: Active DoD Secret clearance required at start, with the ability to obtain and maintain a DoD Top Secret clearance after starting. About the Role. As a Principal Software Engineer , you'll shape the technical direction of software capabilities supporting the AEGIS portfolio and Department of Defense missions. You'll serve as the senior software engineering lead across a portfolio of cybersecurity and digital engineering applications, with primary responsibility for the continued development and evolution of the SOFIA Cyber Analytics Platform and technical oversight of MONARCH, SMART, and related capabilities. This is a hands-on technical leadership role for an experienced software engineer who enjoys solving complex problems, setting technical direction, and mentoring other engineers. You'll work closely with software, cybersecurity, and systems engineers, program leadership, and customers to turn complex mission needs into secure, scalable, and maintainable software solutions. What You'll Do Lead the technical direction of SOFIA, MONARCH, SMART, and related software capabilities supporting the AEGIS portfolio. Own software architecture and guide the design, development, integration, deployment, and continued evolution of mission-focused applications. Provide hands-on technical leadership to the SOFIA development team, guiding technical planning, development priorities, design decisions, code quality, and engineering execution. Establish and promote software engineering standards and best practices across front-end and back-end development, APIs, databases, analytics, cloud integration, and plugin development. Translate user and mission needs into software architectures, technical requirements, development priorities, and executable solutions. Guide development of capabilities supporting cyber analytics, vulnerability and reachability analysis, mission impact assessment, data visualization, digital engineering, and decision support. Review software designs and source code, troubleshoot complex technical challenges, and mentor engineers through architecture reviews, code reviews, and technical planning. Advance modern development practices, including Agile, DevOps/DevSecOps, CI/CD, automated testing, configuration management, and secure software development. Evaluate emerging technologies, including AI, advanced analytics, cloud services, and modern software frameworks, and apply them where they provide meaningful value. Collaborate across engineering disciplines and with program leadership and customer stakeholders to support technical demonstrations, customer engagements, technical planning, proposals, and R&D efforts. What You'll Bring Bachelor's degree in Computer Science, Software Engineering, Computer Engineering, or a related technical discipline; Master's degree preferred. 10+ years of professional software engineering experience, including designing, developing, enhancing, and sustaining software applications. Experience serving as a Lead Software Engineer, Principal Software Engineer, Software Architect, Technical Lead, or similar technical leadership role. Strong programming foundation with professional development experience in one or more modern programming languages. Experience with modern web applications, distributed systems, APIs, databases, cloud technologies, and data-driven software solutions. Strong understanding of software architecture and secure software development, with the ability to review designs and source code, troubleshoot complex issues, and provide technical direction to other engineers. Experience applying Agile and DevOps/DevSecOps practices, including CI/CD and modern software delivery approaches. Strong communication skills with the ability to lead technical discussions across multidisciplinary engineering teams, program leadership, and customer stakeholders. Experience supporting Department of Defense or Federal Government software development programs preferred. Experience with cybersecurity analytics, digital engineering, MBSE, system-of-systems environments, AI/advanced analytics, or mission-focused engineering applications preferred. Certified Scrum Developer, Agile Developer, comparable software development certification, and/or CompTIA Security+ preferred. Additional Considerations This is a full-time position supporting mission-focused customer environments. Outside employment or activities must not create conflicts of interest with company or customer responsibilities Why G2 Ops? What makes someone choose one company over another? Compensation, benefits, meaningful work, flexibility, growth opportunities, culture? At G2 Ops, we believe you shouldn't have to choose. We offer competitive pay and benefits, but what truly sets us apart is our collaborative culture. Team members support mission-focused projects alongside highly skilled technical professionals across engineering, cybersecurity, operations, and program teams. We encourage continuous learning, cross-training, and professional growth while empowering team members to contribute ideas that improve how we work and deliver value to our customers. At G2 Ops, your contributions matter to our customers' missions and to the continued success of our team. Compensation & Benefits. The annual salary range for this position is $140,000 - $165,000, depending on qualifications and experience. G2 Ops offers a competitive compensation and benefits package designed to support our employees both personally and professionally, including: 100% company-paid insurance for medical, dental, and vision for eligible employees and family members 100% company-paid insurance for life, short-term disability (STD), and long-term disability (LTD) for eligible employees 401(k) plan with discretionary employer matching 10 paid holidays Paid time off (PTO) Educational assistance In addition, we provide professional development opportunities, performance recognition programs, and resources that support long-term career growth and work-life balance. AI at G2 Ops. At G2 Ops, we don't just talk about AI - we actively use it to improve how we work. Our teams are integrating AI into engineering, cybersecurity, operations, and decision-making workflows. We continue to invest in secure AI tooling aligned with government security requirements while developing practical, mission-focused applications across the company. Whether your role is technical or operational, you'll have opportunities to explore how AI can enhance efficiency, innovation, and mission impact. Work Environment. Because we support classified and mission-critical DoD programs, many roles require onsite collaboration at G2 Ops offices and/or customer locations. Depending on program requirements, telework and flexible scheduling options may be available. We've built a collaborative environment where team members can learn, contribute, and grow while supporting meaningful customer missions. Ready to Apply? If you're excited about solving meaningful problems, working alongside talented teammates, and contributing to important mission-focused work, we'd love to hear from you. We look forward to learning more about you! About G2 Ops, Inc. (G2 Ops) G2 Ops leverages over a decade of experience integrating Systems, Cybersecurity, and Software Engineering techniques to provide solutions to a growing list of Government and private customers. We combine cutting edge tools with innovative engineering practices, data analytics, and risk algorithms that enhance visibility into complex infrastructures, optimizing resiliency in system design and operations. G2 Ops is a woman-owned small business led by an executive staff known for providing innovative solutions to solve our nation's most complex engineering challenges. G2 Ops has been named to the Inc. 5000 list of America's fastest growing companies each of the last 9 years () and has locations in Arlington, VA, Virginia Beach, VA, and San Diego, CA. G2 Ops, Inc. is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex (including pregnancy, sexual orientation, gender identity), national origin, age, disability, genetic information, protected veteran status, or any other characteristic protected by applicable federal, state, or local law. G2 Ops, Inc. participates in the E-Verify program. Employment is contingent upon verification of identity and authorization to work in the United States. Applicants have rights under Federal Employment Laws: E-Verify Participation and Right to Work Notices:

Quick Position Facts! Location: Arlington, Virginia at our G2 Ops office. Work Setting: In-Office with Hybrid or Flexible Schedule Available Based on Program Requirements Salary Range: $145,000 - $170,000 plus comprehensive benefits package. Years of Industry Experience: 10 + years of relevant experience. Security Clearance Requirement: Active DoD Secret clearance required at start, with the ability to obtain and maintain a DoD Top Secret clearance after starting. About the Role. As a Principal Software Engineer , you'll shape the technical direction of software capabilities supporting the AEGIS portfolio and Department of Defense missions. You'll serve as the senior software engineering lead across a portfolio of cybersecurity and digital engineering applications, with primary responsibility for the continued development and evolution of the SOFIA Cyber Analytics Platform and technical oversight of MONARCH, SMART, and related capabilities. This is a hands-on technical leadership role for an experienced software engineer who enjoys solving complex problems, setting technical direction, and mentoring other engineers. You'll work closely with software, cybersecurity, and systems engineers, program leadership, and customers to turn complex mission needs into secure, scalable, and maintainable software solutions. What You'll Do Lead the technical direction of SOFIA, MONARCH, SMART, and related software capabilities supporting the AEGIS portfolio. Own software architecture and guide the design, development, integration, deployment, and continued evolution of mission-focused applications. Provide hands-on technical leadership to the SOFIA development team, guiding technical planning, development priorities, design decisions, code quality, and engineering execution. Establish and promote software engineering standards and best practices across front-end and back-end development, APIs, databases, analytics, cloud integration, and plugin development. Translate user and mission needs into software architectures, technical requirements, development priorities, and executable solutions. Guide development of capabilities supporting cyber analytics, vulnerability and reachability analysis, mission impact assessment, data visualization, digital engineering, and decision support. Review software designs and source code, troubleshoot complex technical challenges, and mentor engineers through architecture reviews, code reviews, and technical planning. Advance modern development practices, including Agile, DevOps/DevSecOps, CI/CD, automated testing, configuration management, and secure software development. Evaluate emerging technologies, including AI, advanced analytics, cloud services, and modern software frameworks, and apply them where they provide meaningful value. Collaborate across engineering disciplines and with program leadership and customer stakeholders to support technical demonstrations, customer engagements, technical planning, proposals, and R&D efforts. What You'll Bring Bachelor's degree in Computer Science, Software Engineering, Computer Engineering, or a related technical discipline; Master's degree preferred. 10+ years of professional software engineering experience, including designing, developing, enhancing, and sustaining software applications. Experience serving as a Lead Software Engineer, Principal Software Engineer, Software Architect, Technical Lead, or similar technical leadership role. Strong programming foundation with professional development experience in one or more modern programming languages. Experience with modern web applications, distributed systems, APIs, databases, cloud technologies, and data-driven software solutions. Strong understanding of software architecture and secure software development, with the ability to review designs and source code, troubleshoot complex issues, and provide technical direction to other engineers. Experience applying Agile and DevOps/DevSecOps practices, including CI/CD and modern software delivery approaches. Strong communication skills with the ability to lead technical discussions across multidisciplinary engineering teams, program leadership, and customer stakeholders. Experience supporting Department of Defense or Federal Government software development programs preferred. Experience with cybersecurity analytics, digital engineering, MBSE, system-of-systems environments, AI/advanced analytics, or mission-focused engineering applications preferred. Certified Scrum Developer, Agile Developer, comparable software development certification, and/or CompTIA Security+ preferred. Additional Considerations This is a full-time position supporting mission-focused customer environments. Outside employment or activities must not create conflicts of interest with company or customer responsibilities Why G2 Ops? What makes someone choose one company over another? Compensation, benefits, meaningful work, flexibility, growth opportunities, culture? At G2 Ops, we believe you shouldn't have to choose. We offer competitive pay and benefits, but what truly sets us apart is our collaborative culture. Team members support mission-focused projects alongside highly skilled technical professionals across engineering, cybersecurity, operations, and program teams. We encourage continuous learning, cross-training, and professional growth while empowering team members to contribute ideas that improve how we work and deliver value to our customers. At G2 Ops, your contributions matter to our customers' missions and to the continued success of our team. Compensation & Benefits. The annual salary range for this position is $145,000 - $170,000, depending on qualifications and experience. G2 Ops offers a competitive compensation and benefits package designed to support our employees both personally and professionally, including: 100% company-paid insurance for medical, dental, and vision for eligible employees and family members 100% company-paid insurance for life, short-term disability (STD), and long-term disability (LTD) for eligible employees 401(k) plan with discretionary employer matching 10 paid holidays Paid time off (PTO) Educational assistance In addition, we provide professional development opportunities, performance recognition programs, and resources that support long-term career growth and work-life balance. AI at G2 Ops. At G2 Ops, we don't just talk about AI - we actively use it to improve how we work. Our teams are integrating AI into engineering, cybersecurity, operations, and decision-making workflows. We continue to invest in secure AI tooling aligned with government security requirements while developing practical, mission-focused applications across the company. Whether your role is technical or operational, you'll have opportunities to explore how AI can enhance efficiency, innovation, and mission impact. Work Environment. Because we support classified and mission-critical DoD programs, many roles require onsite collaboration at G2 Ops offices and/or customer locations. Depending on program requirements, telework and flexible scheduling options may be available. We've built a collaborative environment where team members can learn, contribute, and grow while supporting meaningful customer missions. Ready to Apply? If you're excited about solving meaningful problems, working alongside talented teammates, and contributing to important mission-focused work, we'd love to hear from you. We look forward to learning more about you! About G2 Ops, Inc. (G2 Ops) G2 Ops leverages over a decade of experience integrating Systems, Cybersecurity, and Software Engineering techniques to provide solutions to a growing list of Government and private customers. We combine cutting edge tools with innovative engineering practices, data analytics, and risk algorithms that enhance visibility into complex infrastructures, optimizing resiliency in system design and operations. G2 Ops is a woman-owned small business led by an executive staff known for providing innovative solutions to solve our nation's most complex engineering challenges. G2 Ops has been named to the Inc. 5000 list of America's fastest growing companies each of the last 9 years () and has locations in Arlington, VA, Virginia Beach, VA, and San Diego, CA. G2 Ops, Inc. is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex (including pregnancy, sexual orientation, gender identity), national origin, age, disability, genetic information, protected veteran status, or any other characteristic protected by applicable federal, state, or local law. G2 Ops, Inc. participates in the E-Verify program. Employment is contingent upon verification of identity and authorization to work in the United States. Applicants have rights under Federal Employment Laws: E-Verify Participation and Right to Work Notices: