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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. Data modeling and design: . 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 Sr. Manager, Operations Intelligence with CoverMyMeds leads the Data and Insights Pod within the Operations Digital Strategy organization, building and operating the analytics infrastructure, governance structures, and reporting capabilities that power AI, automation, and data-driven decision-making across CMM Operations. This role oversees the intelligence layer data foundation, assists in leading the Ops Automation and Efficiency steering forum, and supports data-driven decision-making across operational functions. The Sr. Manager manages a team of analysts and works closely with Finance, external engineering vendors, and operational leaders across the business. Key Responsibilities: Lead the Data and Insights Pod - managing a team with an identified set of skills required to assist all Ops Automation work Assist the Ops Automation and Efficiency steering forum and any other necessary meetings for Digital Strategy Drive CMM-wide digital workload measurement - implementing a shared definition Manage efficiency savings reporting - reconciling automation results with Finance and Ops Design while presenting findings to leadership Oversee intelligence layer data quality and availability monitoring - maintaining reliable, current data pipelines Partner with external vendors to ensure data architecture and pipeline delivery meet business quality requirements Manage and lead all team members including their plans for development Basic Requirements: Bachelor's degree in a quantitative field such as Business Analytics, Statistics or Information Systems, or equivalent experience, and typically requires 9 or more years of progressive experience in data analytics, business intelligence, or data strategy, with at least 1 year in a people leadership role Demonstrated experience building and operating governance structures such as steering forums, decision logs, and prioritization frameworks Proficiency in at least one business intelligence platform such as Power BI or Tableau, including data modeling Experience producing finance-grade reporting that has been reviewed and approved by a Finance function Preferred Skills/Experience: Experience in healthcare operations, contact center analytics, or similarly regulated environments Familiarity with cloud data platforms such as Snowflake, Azure, or Databricks Advanced degree in a quantitative discipline Experience overseeing vendor-delivered data engineering work without directly building the pipelines Ability to communicate analytical findings clearly to non-technical executive audiences We are proud to offer a competitive compensation package at McKesson as part of our Total Rewards. This is determined by several factors, including performance, experience and skills, equity, regular job market evaluations, and geographical markets. The pay range shown below is aligned with McKesson's pay philosophy, and pay will always be compliant with any applicable regulations. In addition to base pay, other compensation, such as an annual bonus or long-term incentive opportunities may be offered. For more information regarding benefits at McKesson, please click here. Our Base Pay Range for this position $113,300 - $188,800 McKesson has become aware of online recruiting-related scams in which individuals who are not affiliated with or authorized by McKesson are using McKesson's (or affiliated entities, like CoverMyMeds or RxCrossroads) name in fraudulent emails, job postings or social media messages. In light of these scams, please bear the following in mind: McKesson Talent Advisors will never solicit money or credit card information in connection with a McKesson job application. McKesson Talent Advisors do not communicate with candidates via online chatrooms or using email accounts such as Gmail or Hotmail. Note that McKesson does rely on a virtual assistant (Gia) for certain recruiting-related communications with candidates. McKesson job postings are posted on our career site: . McKesson is an Equal Opportunity Employer McKesson provides equal employment opportunities to applicants and employees, without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability, age, genetic information, or any other legally protected category. For additional information on McKesson's full Equal Employment Opportunity policies, visit our Equal Employment Opportunity page. McKesson is committed to being an Equal Employment Opportunity Employer and offers opportunities to all job seekers including job seekers with disabilities. If you need a reasonable accommodation to assist with your job search or application for employment, please contact us by sending an email to (United States) or (Canada) . Resumes or CVs submitted to this email box will not be accepted. Join us at McKesson!

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. Data modeling and design: . 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 Sr. Manager, Operations Intelligence with CoverMyMeds leads the Data and Insights Pod within the Operations Digital Strategy organization, building and operating the analytics infrastructure, governance structures, and reporting capabilities that power AI, automation, and data-driven decision-making across CMM Operations. This role oversees the intelligence layer data foundation, assists in leading the Ops Automation and Efficiency steering forum, and supports data-driven decision-making across operational functions. The Sr. Manager manages a team of analysts and works closely with Finance, external engineering vendors, and operational leaders across the business. Key Responsibilities: Lead the Data and Insights Pod - managing a team with an identified set of skills required to assist all Ops Automation work Assist the Ops Automation and Efficiency steering forum and any other necessary meetings for Digital Strategy Drive CMM-wide digital workload measurement - implementing a shared definition Manage efficiency savings reporting - reconciling automation results with Finance and Ops Design while presenting findings to leadership Oversee intelligence layer data quality and availability monitoring - maintaining reliable, current data pipelines Partner with external vendors to ensure data architecture and pipeline delivery meet business quality requirements Manage and lead all team members including their plans for development Basic Requirements: Bachelor's degree in a quantitative field such as Business Analytics, Statistics or Information Systems, or equivalent experience, and typically requires 9 or more years of progressive experience in data analytics, business intelligence, or data strategy, with at least 1 year in a people leadership role Demonstrated experience building and operating governance structures such as steering forums, decision logs, and prioritization frameworks Proficiency in at least one business intelligence platform such as Power BI or Tableau, including data modeling Experience producing finance-grade reporting that has been reviewed and approved by a Finance function Preferred Skills/Experience: Experience in healthcare operations, contact center analytics, or similarly regulated environments Familiarity with cloud data platforms such as Snowflake, Azure, or Databricks Advanced degree in a quantitative discipline Experience overseeing vendor-delivered data engineering work without directly building the pipelines Ability to communicate analytical findings clearly to non-technical executive audiences We are proud to offer a competitive compensation package at McKesson as part of our Total Rewards. This is determined by several factors, including performance, experience and skills, equity, regular job market evaluations, and geographical markets. The pay range shown below is aligned with McKesson's pay philosophy, and pay will always be compliant with any applicable regulations. In addition to base pay, other compensation, such as an annual bonus or long-term incentive opportunities may be offered. For more information regarding benefits at McKesson, please click here. Our Base Pay Range for this position $113,300 - $188,800 McKesson has become aware of online recruiting-related scams in which individuals who are not affiliated with or authorized by McKesson are using McKesson's (or affiliated entities, like CoverMyMeds or RxCrossroads) name in fraudulent emails, job postings or social media messages. In light of these scams, please bear the following in mind: McKesson Talent Advisors will never solicit money or credit card information in connection with a McKesson job application. McKesson Talent Advisors do not communicate with candidates via online chatrooms or using email accounts such as Gmail or Hotmail. Note that McKesson does rely on a virtual assistant (Gia) for certain recruiting-related communications with candidates. McKesson job postings are posted on our career site: . McKesson is an Equal Opportunity Employer McKesson provides equal employment opportunities to applicants and employees, without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability, age, genetic information, or any other legally protected category. For additional information on McKesson's full Equal Employment Opportunity policies, visit our Equal Employment Opportunity page. McKesson is committed to being an Equal Employment Opportunity Employer and offers opportunities to all job seekers including job seekers with disabilities. If you need a reasonable accommodation to assist with your job search or application for employment, please contact us by sending an email to (United States) or (Canada) . Resumes or CVs submitted to this email box will not be accepted. Join us at McKesson!

Job Description Job Description Details: Posted: 6/3/2026 Level: Administrator IV (SUOAF) Hours: Full-time, 35 hours per week Closing Date: Applications will be accepted until the position is filled, with materials submitted by 5:00pm (EST) on Friday, July 17, 2026 , receiving priority consideration. Location: CSCU System Office 61 Woodland Street Hartford, CT 06105 This position is not remote For more information, please visit the campus website or Connecticut State Colleges & Universities Mission: The Connecticut State Colleges & Universities (CSCU) contribute to the creation of knowledge and the economic growth of the state of Connecticut by providing affordable, innovative, and rigorous programs. Our learning environments transform students and facilitate an ever-increasing number of individuals to achieve their personal and career goals. CSCU Vision: The Connecticut State Colleges and Universities will build on its long and successful history by working collectively - within and across institutions - and by engaging external partners to increase the number of students pursuing and completing personally and professionally rewarding certificate and degree programs, improving their social mobility, and helping the state to meet its current and future workforce demands. CSCU Equity Statement: The Connecticut State Colleges and Universities commits to bold and disruptive change by actively identifying, naming, and dismantling structural racism, systemic poverty, and other barriers; establishing equitable and anti-racist policies and practices; and empowering students, faculty, staff, and administrators to advance racial, social, and economic justice. Our core collective responsibility is to continuously assess practices and policies and transform the world we live in by eliminating inequities. Anticipated Start Date: June 2026Position Summary: Under general supervision, provides technical support and assistance in information systems administration, problem resolution, system testing, development, integration, and security. Assists in designing, developing, testing, deploying, and maintaining technical solutions to enhance information systems. Example of Job Duties: Under the direction of the Senior Systems Development Manager or Designee, the Systems Software & Integration Engineer is responsible for technical support through effective performance in these essential duties: Develops, maintains, performs, or assists with procedures to ensure the integrity of information systems. Assists in design and coordinates with programmers to develop software solutions and integrations. Maintains a thorough understanding of software application subsystems, gauging the impact of system access requests and handling items such as code modification and configuration. Assists with testing, deployment, maintenance of software and database applications and enhancements. Works as a system analyst with key personnel to help define user needs and develop solutions. Coordinates with technical and functional staff to troubleshoot application and database problems. Works with technical and functional staff to analyze, design, construct and implement applications and integrations; helps determine and document business needs and requirements for upgrades and enhancements. Manages moderately complex projects from start to finish, including resource planning. Assists in implementing security policies & procedures, along with investigation and resolution of security incidents, to ensure a stable and secure computing environment. May supervise professional staff and/or student workers. Performs other duties related to those above, which do not alter the basic level of responsibility of the position. This posting includes qualifications, experience and skills but is not limited to the full specifications stated in the job description. Minimum Qualifications: Bachelor's degree in computer science, information systems, or related field. Incumbents are required to have demonstrated advanced knowledge and abilities in the following: Minimum four years of experience in design, implementation, testing, maintenance, and support of information systems in an ERP environment, preferably Ellucian Banner. Hands-on experience with a currently supported version of a Relational Database Management System (RDBMS) such as: Oracle, Microsoft SQL, MySQL, or Postgres using tools such as TOAD or SQL Developer. Experience with one or more RDBMS development languages such as: SQL, PL/SQL, PostgreSQL, or equivalent. Experience in one or more reporting and analytical tools such as Argos, Cognos, PowerBI, or equivalent. Experience in one or more software development methodologies, data modeling, and best practices in software development. Ability to take ownership and manage moderately complex projects from start to completion. Excellent customer service and communication skills. Ability to work with people of various backgrounds and at all levels of technical knowledge. Strong organizational, analytical, and problem-solving skills. Candidates must possess proven ability to effectively work with culturally, linguistically, and ethnically diverse faculty, staff, and students. They are expected to have excellent interpersonal oral and written communication skills along with strong Information technology literacy skills such as Microsoft Office (Word, Excel, Outlook, Teams etc.).Preferred Qualifications: Experience with Unix/Linux operating system in a large-scale, high transactional production environment. Familiarity with web development tools such as: HTML5, CSS, Bootstrap, JSON, Java, JavaScript, AngularJS and RESTful Web Services. Familiarity with NodeJS, React.js and an IDE tool such as Visual Studio. Familiarity with automating batch processes using scheduling tools such as crontab, Automic or ISE (EnterpriseSCHEDULE) or comparable tools. Familiarity with, or ability to learn, portal applications, system integrations/interfaces, and Learning Management systems. Preferred platforms are the Ellucian Experience portal, Ellucian Data Connect, Ellucian Ethos, Intelligent Learning Platform (ILP), and Blackboard. These qualifications may be waived for individuals with appropriate alternate experience.Starting Salary: Minimum Salary; $85,465 approximate annual plus excellent State of CT medical insurance, retirement, and related fringe benefits. The salary will be based on the selected candidate's qualifications such as education and job-related experience, and internal equity. We offer a comprehensive benefits package to help you stay well, protect yourself and your family, and plan for a secure future. Benefits include generous leave policies; several retirement plans; and many choices for comprehensive health insurance. You also have access to many additional benefits to save for retirement, protect your family & more with supplemental benefits. Tuition reimbursement may apply if applicable. Application Instructions: To apply you must submit a cover letter and resume. The cover letter may be entered as text in the corresponding box, or it can be uploaded as a combined file with the resume. Incomplete applications or those submitted after the closing date will not be considered and links to other sources to view resumes are not acceptable. For more information or to apply via our website at Selection Procedure: Following the closing date, application materials will be evaluated by a selection committee. Candidates selected for further consideration will be limited to those applicants who are best qualified based on the minimum and preferred qualifications and who have submitted all the required documents by the closing date and time listed on the job announcement. Candidates who have been selected and approved to interview will be contacted, and finalists will be recommended for further consideration by the Hiring Manager for final selection and recommendation for employment. The selection process may also include practical exercises (i.e., teaching demonstration and/or other written, technical, manipulative, or simulation exercises) to evaluate candidates' qualifications. Background Screening: All employment, if offered, is contingent upon proof of citizenship or employability under the requirement of the Immigration and Control Act (IRCA) and the successful passing of a background check, including granting permission to contact current and previous employers for verification. CSCU is committed to providing a safe campus community. Background investigations include reference checks, a criminal history record check and, when appropriate, a financial (credit) report or driving history check. Continuing Notice of Nondiscrimination CSCU does not discriminate on the basis of race, color, religious creed, age, gender, gender identity or expression, national origin, marital status, ancestry, present or past history of mental disorder, learning disability or physical disability, veteran status, sexual orientation, genetic information or criminal record. For inquiries regarding the non-discrimination policies, please contact . CSCU IS AN AFFIRMATIVE ACTION/EQUAL OPPORTUNITY EMPLOYER, M/F Powered by JazzHR 0hfT9CfgaF

Job Description Job Description About CookUnity: Food has lost its soul to modern convenience. And with it, it has lost the power to nourish, inspire, and connect us. So in 2018, CookUnity was founded as the first-of-its-kind platform that connects the world with the source of truly great food: chefs. Today, CookUnity delivers 50 million meals a year from the industry's best chefs to homes all over the country. Fresh. Ready-to-eat. And crafted with the passion that nourishes body and soul. Unwilling to stop there, CookUnity is expanding beyond delivery to become an ever-innovating marketplace focused on our singular mission: empower Chefs to nourish the world. If that mission has you hungry in more ways than one, you've found the right job posting. The Role: Every team at CookUnity has workflows that could be 10-100x more effective with the right automation. But unlocking that requires someone who can see the opportunity, design the future-state process, build it, and keep it running. That's this role. You'll embed directly with the cross functional AI team as a dedicated AI engineer. Your job isn't to write code faster with AI. It's to fundamentally redesign how work gets done. You'll map existing workflows end-to-end, identify where throwing compute at a task creates step-change value, and then build the solution: sometimes that's an agent, sometimes it's a deterministic internal app, sometimes it's a combination. Knowing which to reach for, and when, is a core part of the job. You'll architect the automated version, build it, and then own it in production: tracking KPIs, managing evals after model changes, and continuously improving. This is equal parts business analyst, systems integrator, and engineer. You'll spend as much time interviewing stakeholders and mapping data flows as you will writing code. You need to be the kind of person who can sit with a team lead, whiteboard a procurement process or a campaign launch workflow, spot the bottleneck that's begging for automation, and have a working prototype by end of week. You'll report to the Head of Applied AI. Responsibilities:Discover and Design Map the team's highest-value workflows end-to-end: structured and unstructured data flows, decision points, handoffs, and bottlenecks. Identify where automation can drive step-change outcomes: processing orders of magnitude more inputs, collapsing multi-day processes into hours, or enabling work that simply wasn't feasible before. Design the future-state workflow: where an agent acts autonomously, where a deterministic app handles the logic, where humans review, what context is needed, and what guardrails keep it safe. Build the business case. You can articulate why this workflow matters in terms of time saved, revenue impact, or cost reduced. Build and Ship Build production workflows and internal tools that the team relies on daily, not just demos. Use your judgment on the right tool for the job: agentic workflows when tasks require reasoning and flexibility, deterministic apps and scripts when the logic is well-defined and reliability matters most. Work across the company's toolstack: APIs, CLIs, MCP servers, spreadsheets, data warehouses, workflow orchestration, databases, and whatever else needs connecting. Create human-in-the-loop interfaces where they matter. Knowing when to automate fully and when to keep a human checkpoint is a core skill. Write clean, maintainable code. You'll use AI tools to move fast, but you own the quality of what ships. Run and Improve Own your agents and apps in production. Monitor performance, track KPIs, and explain outcomes to stakeholders. Manage evals and regression testing after model updates, prompt changes, or upstream data shifts. Continuously improve: every workflow you own should get measurably better over time. Build institutional knowledge: document patterns, create playbooks, and teach your team to think in terms of what's now automatable. Level up your team's compute fluency and increase AI adoption. What Success Looks Like Within 60 days, you've mapped 3 high value workflows and shipped your first production tool (agent or app) that the team uses daily. Within 6 months, you've automated or agent-assisted 3-5 core workflows with measurable impact on team throughput or cost. The team you've worked with considers you indispensable, not because you're the only one who can code, but because you see automation opportunities they can't. You can show a clear before/after: hours saved, error rates reduced, throughput increased, or entirely new capabilities unlocked. Your agents and apps are running reliably in production with monitoring, evals, and documented runbooks. Minimum Requirements: Demonstrated ability to map a business process and redesign it with automation. This is the skill. Show us a time you took a messy real-world workflow, understood it deeply, and made it dramatically better. Technical fluency to connect systems and build production workflows. You're comfortable with APIs, CLIs, MCP, databases, and workflow orchestration. You can wire up business systems without waiting for someone else to do it. Good judgment on agents vs. deterministic tools. You know when an LLM-powered agent is the right call and when a well-built internal app or script is better. You don't reach for AI when a cron job will do, and you don't build brittle rule engines when the task needs reasoning. Strong foundation in at least one programming language (TypeScript, Python, Kotlin or similar) and ability to build full-stack when needed. Hands-on experience with LLMs in production, not just prompting, but building reliable systems: structured outputs, eval frameworks, error handling, human-in-the-loop design. Operational maturity. You don't just build things, you run them. You monitor, measure, iterate, and document. Communication skills to work cross-functionally. You'll interview stakeholders, present business cases, and explain technical tradeoffs to non-technical leaders. Preferred Requirements: You stay current with the latest releases and capabilities from Anthropic, OpenAI, Vercel, OpenClaw, and others in the agentic/applied AI space. You can talk about what shipped last month and what it changes. A portfolio of agent-powered workflows or internal tools you've built and deployed. Side projects, work projects, open source, anything with real users. You understand git, version control workflows, and basic security and safety practices when deploying AI into production environments. You've written about how you think about Applied AI (blog posts, threads, internal docs). You've worked with ops, finance, marketing, or another business function, not just engineering. You've taught non-technical people to use AI tools effectively. Technologies You'll Use LLM APIs: Anthropic (Claude), OpenAI, open-source models Agent and Orchestration: Claude Code, Codex App Server, Sandboxes, MCP, n8n, Temporal, Agent SDK, custom TypeScript/Python pipelines Data: Snowflake, Postgres, SQL, dbt Business Systems: Varies by team (Braze, Ramp, NetSuite, Jira, Linear, Slack, etc.) Collaboration: Slack, Notion, Google Workspace Infrastructure: Vercel, AWS Benefits: Health Insurance coverage 401k Plan Unlimited PTO ️ 5- year Sabbatical: After 5 years with CookUnity, you get a 4-week paid sabbatical Paid family leave Compassionate Leave: 3-5 days each time the need arises A generous amount of CookUnity credits to enjoy our amazing meals, added to your account, monthly ️ ️ Wellness perks: access to fitness subsidies to build a healthy lifestyle AI-forward workplace: enterprise access to ChatGPT and Claude to help you work smarter and grow faster ️ Personalized Spanish coach Awesome opportunity to join a company that is looking to change how we eat and how chefs work! Learn More About CookUnity We believe great leadership starts with alignment on vision, values, and ways of working. To give you deeper insight into who we are and what we're looking for, we invite you to explore: CookUnity's Leadership Principles. The values and behaviors that guide how we operate, collaborate, and scale. We hope this provides valuable insight into our culture and how we work. If this excites you, we'd love to connect! CompensationAll final pay rates will be determined by candidates experience, knowledge, skills, and abilities of the applicant, internal equity, and alignment with market data. Pay Range for this position $130,000-$190,000 USD If you're interested in this role, please submit your application, and if we think you might be a fit, we'll get in touch with you. Thank you for your time! CookUnity is an Equal Opportunity Employer. We are dedicated to creating a community of inclusion and an environment free from discrimination or harassment. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, age, sexual orientation, gender identity, national origin, citizenship status, protected veteran status, genetic information, or physical or mental disability. A quick note for all candidates . click apply for full job details

Job Description Job Description WHO WE ARE Lindblad Expeditions is a true pioneer in Expedition Travel. From taking the first citizen explorers to Antarctica in 1966, opening the Galapagos and Easter Island to tourism in 1967, leading the first tourist expedition through the Northwest Passage in 1984, and launching our innovative partnership with National Geographic in 2004, we're now taking almost 30,000 guests a year to some of the world's most remote and pristine locations on our fleet of 20 ships, and are committed to ensuring our guests experience the "Exhilaration of Discovery". New York-based travel company is seeking a highly adaptable and versatile analytics engineer who thrives on taking up multiple roles and responsibilities within the realm of analytics engineering. As an Analytics Engineer, you will play a crucial role in our organization, taking charge of various aspects such as data design, data architecture, data governance, reporting, and more. You will partner with our business analyst and data engineer to help develop our solutions to our data needs throughout the organization. Reporting to the Director of Business Applications. PROFESSIONAL RESPONSIBILITIES Data modeling & Transformation • Build and maintain dbt models across staging, intermediate, and mart layers following Kimball dimensional modeling best practices, and a governed semantic / metrics layer so core KPIs are defined once and are AI- and agent-ready • Write and review SQL transformations to convert raw source data into clean, analytics-ready datasets that serve as a trusted source of truth • Implement dbt tests, model documentation, and source freshness checks to ensure data quality and build confidence across the organization • Collaborate with the data engineer on pipeline design, source data contracts, and overall data architecture decisions Reporting & Analytics • Design and publish Power BI reports and dashboards that empower stakeholders across the business to access and interpret data with confidence • Define and govern metric definitions to ensure consistent, reliable reporting across departments • Partner closely with our business analyst to understand reporting needs and translate them into scalable, reusable solutions • Identify opportunities to consolidate legacy reports and improve self-service analytics capabilities • Excited to work alongside AI tools - not just using them, but improving their outputs by rigorously reviewing, refining, and iterating on AI-generated code and analyses Governance & Collaboration • Contribute to data governance practices including access review, data lineage, and documentation standards • Serve as a bridge between the data infrastructure and the business, communicating technical concepts clearly to non-technical stakeholders • Maintain and improve CI/CD workflows for dbt model deployments QUALIFICATIONS • Bachelor's or Master's Degree in Computer Science, Information Systems, or a related field. • Minimum 5+ years in analytics or data related roles. • Proven experience as analytics engineer or in a similar role, demonstrating expertise in data design, data architecture, and reporting • Experience with any modern warehouse; Snowflake preferred • Comfortable working with PowerBI or comparable dashboarding tool • Proficiency in SQL and data querying languages. Experience with programming languages like Python is desirable • Excellent problem-solving skills, attention to detail, and ability to work independently as well as collaboratively in a team environment • Strong communication and interpersonal skills to effectively convey technical concepts to non-technical stakeholders Bonus Target 7.5% OUR BENEFITS • Travel benefits for employees and their family • Voyage of Discovery trips for employees to travel as guests • Health insurance including Medical, Dental, Vision • 401(k) plan with employer match • Long-Term Disability, Life & AD&D Insurance • Flexible Spending Account (FSA) to be used for out-of-pocket medical and dependent care • Pre-Tax Commuter Benefit • 7-8 Paid Holidays • 1 Floating Holiday Options • Up to 15 days of vacation (pro-rated per anniversary year) • Parental Leave • Sick/personal days per city & state ordinance • Pet Insurance discount Hybrid Work Schedule Positions based in our New York and Seattle offices follow a hybrid work schedule, requiring employees to work in the office Tuesday through Thursday , with the option to work remotely Monday and Friday. Candidates must reside within reasonable commuting distance of their designated office. Communication Skills Using the English language, this person must have the ability to read, write, and comprehend policies, legal guidelines, correspondence, and memos. Must also possess the ability to effectively communicate both in writing and orally with a professional demeanor. PHYSICAL DEMANDS While performing the duties of this job, the employee is frequently required to sit, talk and hear. The employee will also be required to write and type. The employee is occasionally required to stand, walk, and reach with hands and arms. COMPENSATION STATEMENT Lindblad Expeditions determines the pay for positions using local, national, and industry-specific survey data. We evaluate external equity and the cost of labor/prevailing wage index in the relative marketplace for jobs directly comparable to jobs within our company. Our posted salary range is based on national data and may be refined for a candidate's region/town/cost of living. For new hires, we strive to make competitive offers allowing the new employee room for future growth. Salaries will be based on the applicant's location, level of experience, education, and specialized knowledge and skills. An employee/candidate with a stronger skill set will receive higher pay. EQUAL OPPORTUNITY EMPLOYER STATEMENT At Lindblad Expeditions, we simply could not do our work without the diverse kaleidoscope of humanity that creates and delivers our remarkable offerings across the planet. As a Company that respects and celebrates the inherent diversity in the places we explore, we recognize the need to mirror that same diversity and all the interconnected perspectives within our organization. We are committed to building a community of different genders, races, ages, sexual orientations, chosen identities, and countries of origin where every person brings their whole self to work and whose skills, talents, and abilities are valued. We believe we can explore further and in a more meaningful way by actively creating a more diverse and inclusive organization where everyone feels they belong. Lindblad Expeditions is an equal opportunity employer. Individuals seeking employment at Lindblad Expeditions are considered without regard to race, sex, color, religion, national origin, age, disability, genetics, marital status, pregnancy, unemployment status, sexual orientation, citizenship status, or veteran status. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Job Description Job Description Company Description StockStory, now part of CNBC under VERSANT, is building the next generation of AI-powered equity research for individual investors. This is a chance to build products that can shape how millions of consumers understand markets and make investing decisions. VERSANT is an independent, publicly traded company that brings together powerhouse brands such as CNBC, MS NOW (formerly MSNBC), USA Network, Oxygen, E!, SYFY, and Golf Channel along with dynamic digital and direct-to-consumer brands such as Fandango, Rotten Tomatoes, GolfNow, and GolfPass. We offer the best parts of a startup environment - small team, high ownership, fast execution, and room to experiment - with the backing and stability of VERSANT, an independent publicly traded media company. Job Description Senior AI Engineer We're looking for a highly capable Senior AI Engineer to join our team to build the next generation of AI-powered equity research. This role is hybrid, 3 days in office. This role is for engineers who enjoy turning LLM and agentic AI capabilities into reliable product systems embedded in real-world workflows. It is especially well suited to people who want to work hands-on across architecture, implementation, and operations while helping define how AI capabilities get integrated into products used by individual investors. You will be joining a team of exceptional engineers, analysts, and investors working at the intersection of AI and public markets. A particularly rare part of this role is the level of direct access to experienced market professionals, including former hedge fund managers and top-tier analysts, whose insights can directly inform how you think about modeling, signals, and product design. For an ambitious AI engineer, it is an unusual opportunity to work with cutting-edge LLMs and advanced data systems while learning firsthand how sophisticated investors analyze businesses and markets. You will design, build, and operate core components of our AI platform: distributed agentic workflows, retrieval and reranking systems, model integrations, and the infrastructure required to make these systems reliable, observable, and scalable in production. This role sits within a small and growing, high-caliber team where individuals are expected to operate with a high degree of ownership and autonomy, contributing directly to core product, engineering, and AI systems decisions while working closely with peers, product stakeholders, and senior leadership in a highly collaborative, low-bureaucracy environment with direct access to decision-makers. A genuine interest in investing, public markets, and fundamental business analysis is expected. What We're Looking For: Bachelor's degree in Computer Science or equivalent practical experience Minimum of 5 years of experience designing, building, and maintaining software systems Strong backend expertise in at least one strongly typed language, preferably TypeScript Solid understanding of cloud computing primitives, especially AWS Strong understanding of agentic AI concepts such as tool use, function calling, state machines or graphs, retrieval and reranking, structured outputs, memory, guardrails, and evaluation Experience developing and deploying agentic workflows using frameworks such as LangChain, Mastra, or LangGraph Experience contributing to system design and technical decision-making Experience shipping and operating multiple GenAI or LLM-powered systems in production Hands-on experience debugging scaled LLM systems and participating in incident response Experience building RAG pipelines using embeddings and vector databases Familiarity with fine-tuning or adapting models for specific tasks Experience implementing evaluation pipelines, including human-in-the-loop workflows Experience building or maintaining evaluation suites for agentic systems in production What You'll Do: Build end-to-end distributed agentic AI solutions that are reliable and scalable Own complex features or subsystems from design through deployment and operation Collaborate cross-functionally to integrate AI capabilities into products and data pipelines Contribute to architectural decisions and technical standards for AI systems Maintain observability and operational health, including cost metrics, quality monitoring, drift detection, alignment, alerting, and incident response Support the team's overall technical growth Identify and mitigate risks in AI systems, including performance regressions, bias, and operational issues Use and improve model lifecycle management, monitoring, and evaluation frameworks Location: At CNBC Headquarters in Englewood Cliffs, NJ, you'll have access to great perks and amenities: • Sweat it out Free onsite fitness center with state-of-the-art equipment, plus daily group classes • Eat up Gourmet cafeteria with daily specials plus soup and salad bars • Extras Dry cleaning, shoe shining and sneak peeks • Don't have a car? No problem! We offer free shuttle transportation to and from multiple locations in Manhattan, Brooklyn, Hoboken and Jersey City In addition to these benefits, employees in this group will be joining at a time of meaningful and continued investment in data, technology, and product development, with the opportunity to contribute to a growing team within CNBC that is expected to scale significantly over time, offering meaningful exposure to senior leadership and the ability to influence how the platform evolves. Qualifications What We're Looking For: Minimum of 5 years of experience in software engineering, with a strong track record of building and shipping production systems Proven experience designing and deploying LLM-based or GenAI systems in real-world applications Strong programming skills in Python and experience with modern backend architecture and distributed systems Understanding of LLM workflows, including prompting, tool use, retrieval-augmented generation (RAG), and evaluation methodologies Experience building scalable data pipelines and working with large, messy, or unstructured datasets Ability to design systems with strong observability, reliability, and performance characteristics in mind Experience working in cross-functional environments and leading technical projects end-to-end Strong problem-solving skills and ability to operate independently in ambiguous, fast-moving environments Excellent communication skills, with the ability to explain complex technical concepts to non-technical stakeholders Demonstrated interest in financial markets, investing, or business analysis Additional Information As part of our selection process, external candidates may be required to attend an in-person interview with a VERSANT Media employee at one of our locations prior to a hiring decision. VERSANT Media's policy is to provide equal employment opportunities to all applicants and employees without regard to race, color, religion, creed, gender, gender identity or expression, age, national origin or ancestry, citizenship, disability, sexual orientation, marital status, pregnancy, veteran status, membership in the uniformed services, genetic information, or any other basis protected by applicable law. If you are a qualified individual with a disability or a disabled veteran and require support throughout the application and/or recruitment process as a result of your disability, you have the right to request a reasonable accommodation. You can submit your request to . VERSANT Media is committed to fair and equitable compensation practices. We include a good faith pay range for each position to comply with applicable state and local pay transparency laws and to promote equity across our organization. Actual compensation will be based on factors such as the candidate's skills, qualifications, experience, and location and may include additional forms of compensation and benefits such as health insurance, retirement plans, paid time off, etc. VERSANT Media is not accepting unsolicited assistance from search firms for this employment opportunity. All resumes submitted by search firms to any employee at VERSANT via-email, the Internet, or in any form and/or method without a valid written Statement of Work in place for this position from VERSANT's Talent Acquisition team will be deemed the sole property of VERSANT. No fee will be paid in the event the candidate is hired by VERSANT as a result of the referral or through other means.

Job Description Job Description Company Description About StockStory VERSANT is an independent, publicly traded company that brings together powerhouse brands such as CNBC, MS NOW (formerly MSNBC), USA Network, Oxygen, E!, SYFY, and Golf Channel along with dynamic digital and direct-to-consumer brands such as Fandango, Rotten Tomatoes, GolfNow, GolfPass, and SportsEngine. StockStory, now part of CNBC under VERSANT, is building the next generation of AI-powered equity research for individual investors. This is a chance to build products that can shape how millions of consumers understand markets and make investing decisions. We offer the best parts of a startup environment - small team, high ownership, fast execution, and room to experiment - with the backing and stability of VERSANT, an independent publicly traded media company. The work spans cutting-edge LLMs / ML, large-scale data systems, financial reasoning, and research tooling, with opportunities to apply ideas from functional programming and graph-based systems where they create real advantage. You will be joining a team of exceptional engineers, analysts, and investors working at the intersection of AI and public markets. A particularly rare part of this role is the level of direct access to experienced market professionals, including former hedge fund managers and top-tier analysts, whose insights can directly inform how you think about modeling, signals, and product design. For an ambitious AI engineer, it is an unusual opportunity to work with cutting-edge technology and advanced data systems while learning firsthand how sophisticated investors analyze businesses and markets. Job Description StockStory, now part of CNBC under VERSANT, is building the next generation of AI-powered equity research for individual investors. This is a chance to build products that can shape how millions of consumers understand markets and make investing decisions. We offer the best parts of a startup environment - small team, high ownership, fast execution, and room to experiment - with the backing and stability of VERSANT, an independent publicly traded media company. As a Senior ML Engineer, working in a team of 15 you will work on both an existing AI product with real user impact and greenfield projects with significant room for exploration. The work spans cutting-edge LLMs / ML, large-scale data systems, financial reasoning, and research tooling, with opportunities to apply ideas from functional programming and graph-based systems where they create real advantage. You will be joining a team of exceptional engineers, analysts, and investors working at the intersection of AI and public markets. A particularly rare part of this role is the level of direct access to experienced market professionals, including former hedge fund managers and top-tier analysts, whose insights can directly inform how you think about modeling, signals, and product design. For an ambitious AI engineer, it is an unusual opportunity to work with cutting-edge technology and advanced data systems while learning firsthand how sophisticated investors analyze businesses and markets. Qualifications What You'll Do: This role is for engineers who enjoy turning machine learning and AI capabilities into reliable product systems used by real customers at scale. It is especially well suited to people who want to work across the full stack of applied ML, from data pipelines and model training to inference, evaluation, and production operations. You will design, build, and operate core components of our AI platform: production-grade ML systems, LLM workflows, and supporting infrastructure that power core user experiences for individual investors. This role sits within a small and growing, high-caliber team where individuals are expected to operate with a high degree of ownership and autonomy, contributing directly to core product, engineering, and modeling decisions while working closely with senior leadership in a highly collaborative, low-bureaucracy environment with direct access to decision-makers. Design, implement, and maintain production ML and AI systems used at scale Own end-to-end delivery of AI features from data pipelines and training workflows to inference and monitoring Contribute to architectural decisions and technical standards and mentor peers to elevate ML quality Solve complex technical problems with moderate ambiguity and strong business impact Participate in code reviews and incident retrospectives to improve system quality and reliability Support the team's overall technical growth Identify and mitigate risks in AI systems, including performance regressions, bias, and operational issues Use and improve model lifecycle management, monitoring, and evaluation frameworks Hands-on experience with neural networks, including CNNs, RNNs, Transformers, or other deep learning architectures Background in classical and modern NLP techniques such as tokenization, sequence labeling, language modeling, embeddings, text classification, and information extraction Experience with training pipelines using frameworks such as TensorFlow or PyTorch Experience building human-in-the-loop training or evaluation workflows A genuine interest in investing, public markets, and fundamental business analysis is expected. Requirements: Bachelor's degree in Computer Science or equivalent practical experience Minimum of 5 years of experience in software engineering with a focus on machine learning or AI systems Experience building and operating production ML systems Strong proficiency in Python, TypeScript, or Java Proven experience with LLMs, ranking or recommendation systems, search, or applied NLP Solid understanding of modern ML techniques, including deep learning and representation learning Experience contributing to system design and technical decision-making Location: Hybrid 3 days in office At CNBC Headquarters in Englewood Cliffs, NJ, you'll have access to great perks and amenities: • Sweat it out Free onsite fitness center with state-of-the-art equipment, plus daily group classes • Eat up Gourmet cafeteria with daily specials plus soup and salad bars • Extras Dry cleaning, shoe shining and sneak peeks • Don't have a car? No problem! We offer free shuttle transportation to and from multiple locations in Manhattan, Brooklyn, Hoboken and Jersey City In addition to these benefits, employees in this group will be joining at a time of meaningful and continued investment in data, technology, and product development, with the opportunity to contribute to a growing team within CNBC that is expected to scale significantly over time, offering meaningful exposure to senior leadership and the ability to influence how the platform evolves. Additional Information As part of our selection process, external candidates may be required to attend an in-person interview with a VERSANT Media employee at one of our locations prior to a hiring decision. VERSANT Media's policy is to provide equal employment opportunities to all applicants and employees without regard to race, color, religion, creed, gender, gender identity or expression, age, national origin or ancestry, citizenship, disability, sexual orientation, marital status, pregnancy, veteran status, membership in the uniformed services, genetic information, or any other basis protected by applicable law. If you are a qualified individual with a disability or a disabled veteran and require support throughout the application and/or recruitment process as a result of your disability, you have the right to request a reasonable accommodation. You can submit your request to . VERSANT Media is committed to fair and equitable compensation practices. We include a good faith pay range for each position to comply with applicable state and local pay transparency laws and to promote equity across our organization. Actual compensation will be based on factors such as the candidate's skills, qualifications, experience, and location and may include additional forms of compensation and benefits such as health insurance, retirement plans, paid time off, etc. VERSANT Media is not accepting unsolicited assistance from search firms for this employment opportunity. All resumes submitted by search firms to any employee at VERSANT via-email, the Internet, or in any form and/or method without a valid written Statement of Work in place for this position from VERSANT's Talent Acquisition team will be deemed the sole property of VERSANT. No fee will be paid in the event the candidate is hired by VERSANT as a result of the referral or through other means.

Job Description Job Description About Us: Live experiences help people cross today's digital divide and focus on what truly connects us - the here, the now, this once-in-a-lifetime moment that's bringing us together. To fulfill Gametime's mission of uniting the world through shared experiences, we make it easy for people to discover and access the live experiences that matter most. With platforms on iOS, Android, mobile web and desktop supporting more than 60,000 events across the US and Canada, we are reimagining the event ticket industry in order to move at the speed of life. The Role We're building a new kind of engineering function at Gametime - one that sits within our CX teams, not beside them. As our first AI Engineer on the Ops team, you'll be embedded directly within Fan Ops and Marketplace Ops as an AI Accelerator - working side-by-side with our customer experience and marketplace specialists to make AI the default mode for how the team operates. Not an occasional tool. The foundation of how every operator at Gametime executes. Today, our ops teams are already resourceful and fast. Your job is to multiply what they can do. You'll design and build production-grade agentic workflows that automate the repetitive, the analytical, and the operationally complex - from fan issue triage to seller risk monitoring to marketplace optimization workflows. You'll teach non-technical teammates how to work with AI tools and build their own automations. And you'll help establish the playbook for embedding AI capability across the entire Operations org. This is a hands-on, move-fast, build-first role. Your measure of success is the number of workflows you've permanently transformed and the degree to which operators in your cohort reach for an AI tool before anything else. If you're looking to advise and document, this isn't it. If you want to build things that go into production the same day and see the impact directly in resolution times and fan satisfaction, read on. What You'll Do Identify and document the highest-leverage workflow transformations across Fan Ops and Marketplace Ops by deeply understanding how your stakeholders work and what slows them down Design and build agentic workflows that automate high-value ops tasks - fan issue triage and routing, AI-assisted response drafting, refund and dispute resolution, seller risk scoring, event cancellation handling, SLA monitoring and escalation, and more Integrate with external and internal Gametime data systems to build tools that operate at the speed and scale our fan experience demands Build tools non-technical teammates can actually use - think clean UIs, Slack-based interfaces, scheduled agents, and knowledge retrieval systems - not just scripts that only you can run Coach and partner with each operator through a progressive journey: from awareness, to first win, to regular AI integration, to full workflow transformation, to self-sufficiency Recognize patterns across your cohort and systematically scale what works - a tool built for one agent should become reusable for their peers across Fan Ops and Marketplace Ops Teach and coach operations teammates on how to work with AI tools, build automations, and think in workflows Own the full lifecycle of what you build - from design through production deployment, monitoring, and iteration to impact Explore and evaluate new agentic frameworks, LLM capabilities, and AI tooling as the space evolves rapidly Help define the model for AI-embedded engineering across Gametime's broader Operations org What We're Looking For Required 4+ years of technical operations or software engineering experience, with at least 1 year building production LLM or agentic systems Experience building and deploying tools that non-engineers use in production - not just internal dev tooling Ability to work closely with non-technical stakeholders, translate their domain knowledge into technical requirements, and communicate what you've built in plain language Demonstrated experience coaching or enabling others - formally or informally - with evidence that people you've helped actually changed how they work Comfort with ambiguity - you'll often be working from "here's the problem" not "here's the spec" Preferred Experience in customer operations, CX tooling, trust and safety, or marketplace operations contexts Background in ticketing, e-commerce, or two-sided marketplace environments Familiarity with support tooling platforms Familiarity with RAG pipelines, vector databases, and evaluation frameworks -particularly for knowledge retrieval and automated response generation Experience with data tools (SQL, dbt, Snowflake) - enough to pull your own context without needing a data analyst for everything Prior experience in an embedded or cross-functional engineering role Background in consulting, solutions engineering, or other client-facing technical roles where you had to earn trust before transforming how someone works What Success Looks Like In 90 days, you've shipped production agents that Fan Ops and Marketplace Ops teams use weekly without your involvement. You've materially reduced manual resolution time, improved fan satisfaction metrics, and freed up operator capacity. At least multiple teammates can build and modify automations themselves - and they start new tasks by reaching for an AI tool first. Compensation & Benefits Competitive equity package Flexible PTO Medical, dental, and vision insurance Life insurance and disability coverage Family-forming benefits via Carrot Fertility 401(k) and HSA $1,200 annual Gametime event credits Company off-sites and wellness programs Tenure recognition At Gametime pay ranges are subject to change and assigned to a job based on specific market median of similar jobs according to 3rd party salary benchmark surveys. Individual pay within that range can vary for several reasons including skills/capabilities, experience, and available budget. United States - Pay Range $150,000-$220,000 USD Gametime is committed to bringing together individuals from different backgrounds and perspectives. We strive to create an inclusive environment where everyone can thrive, feel a sense of belonging, and do great work together. As an equal opportunity employer, we prohibit any unlawful discrimination against a job applicant on the basis of their race, color, religion, veteran status, sex, parental status, gender identity or expression, transgender status, sexual orientation, national origin, age, disability or genetic information. We respect the laws enforced by the EEOC and are dedicated to going above and beyond in fostering diversity across our company.

Job Description Job Description Tiger Analytics is seeking a highly skilled Senior AI Engineer to join our dynamic team. In this role, you will design, develop, and implement cutting-edge AI solutions that drive business value for our clients. You will leverage advanced machine learning techniques, frameworks, and large datasets to create innovative products and solutions. As a Senior AI Engineer, you will work closely with cross-functional teams to identify project requirements, define success metrics, and maintain high-quality standards. Your expertise in AI will play a critical role in shaping our product offerings and ensuring the successful deployment of AI models in production. The successful candidate will have a solid background in artificial intelligence, experience with various ML frameworks, and a passion for solving complex business problems. Requirements Key Responsibilities: Design and implement AI algorithms and models to solve real-world problems. Collaborate with data scientists, data engineers, and business analysts to understand project requirements and propose relevant AI solutions. Monitor and analyze the performance of AI models in production and iterate on them to improve outcomes. Develop technical documentation as well as customer-facing documentation and presentations. Stay updated with the latest research and trends in AI and propose innovative ideas to improve our offerings. Qualifications: Master's or PhD in Computer Science, Machine Learning, Artificial Intelligence, or a related field. 5+ years of experience in AI/ML development with demonstrated success in deploying machine learning models to production. Proficiency in programming languages such as Python and familiarity with libraries such as TensorFlow, PyTorch, and Scikit-learn. Experience with cloud-based AI services such as AWS, Google Cloud, or Azure. Strong analytical and problem-solving skills, with a proven ability to interpret business requirements into technical solutions. Excellent communication skills and ability to convey complex technical concepts to non-technical stakeholders. Preferred Skills: Experience with natural language processing (NLP) or computer vision applications. Knowledge of MLOps principles and tools. Familiarity with version control systems (e.g., Git) and Agile methodologies. Benefits This position offers an excellent opportunity for significant career development in a fast-growing and challenging entrepreneurial environment with a high degree of individual responsibility.

Job Description Job Description Operational Event Management Analyst Location: Offutt AFB in Bellevue, NE Minimum Clearance Required: Top Secret/SCI This position requires a current, adjudicated Top Secret/SCI U.S. Government Security Clearance. U.S. Citizenship status is required, as this position necessitates an active U.S. Government Security Clearance for employment. Non-U.S. citizens are not eligible to obtain a U.S. security clearance. The Department of Defense Consolidated Adjudications Facility (DoD CAF), a federal government agency, handles the adjudicative aspects of the security clearance process for industry applicants. Adjudicative factors which affect the outcome of the eligibility determination include, but are not limited to, allegiance to the U.S., foreign influence, foreign preference, criminal conduct, security violations, and illegal drug use. As an Operational Event Management Analyst, you will be responsible for providing subject matter expertise in conducting systems analysis, systems engineering, technical analysis, solution integration, operations assessment, operations analysis, risk management, requirements identification, requirements advocacy, intelligence assessments, technology identification, identifying future concepts and architectures. Who You Are and What You Need: High School diploma or GED equivalence Bachelor's Degree preferred; but not required TS/SCI Clearance on day 1 Must be eligible to obtain the following: NC2-ESO, NATO and SAR Minimum of 5 years of experience in NC2/NC3 operation capabilities and procedures, and experience in the operations platforms, communications, and modes of operations, to include current efforts in developing survivable and endurable NC2/NC3 capabilities Minimum of 3 years of experience working with, maintaining and extracting pertinent data from large databases into spreadsheets, graphs, charts etc., to meet customer needs. Background and training in one or more of USSTRATCOMs assigned UCP missions, assignment at the Combatant Command, Joint Staff, Service, or MAJCOM level. Minimum of 3 years of experience staffing complex packages and adjudicating content Strong technical and analytical skills Ability to communicate effectively, both written and verbal Strong organizational skills and ability to multi-task Ability to work independently and as part of a team Familiarity with USSTRATCOM organization preferred What You Will Do: Provide support to government assessment of future system requirements with the NC3 Enterprise Center Provide operational context during requirement definition, system development and integration for future NC3 capabilities. The findings will ensure future systems support operational needs, address future NC3 capabilities, and align with future NC3 roadmap. What We Offer: Comprehensive benefits including health, dental and vision for the employee and family 401k Plan with a company contribution; fully vested immediately Company paid Life and ADD insurance Company paid Short-Term and Long-Term Disability insurance Flexible Spending Accounts Paid Time Off (PTO) 10 paid holidays Employee Assistance Program Tuition Reimbursement Who We Are: Calvert Systems is a Service-Disabled Veteran-Owned Small Business located in Bellevue, Nebraska with location in eleven states and the District of Columbia. Calvert has over 20 years of experience in providing top-shelf Department of Defense customer support while maintaining a family business culture. Our employee base is largely populated with veterans, Calvert focuses on exceeding customer expectations by leveraging collective experiences. Calvert Systems Engineering provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.

Job Description Job Description Who We Are In an increasingly complex world where people are starving for someone they can trust, we stand for something simple: always put the client first. We do well by doing good for those we serve. It's the ultimate measure. We believe in providing value beyond a doubt and in the notion that time will either expose you or promote you, based on your willingness to embrace change. We serve financial advisors and investors through three entities, each headquartered in Omaha, Nebraska: Carson Wealth, Carson Coaching and Carson Partners. We provide coaching and partnership services to advisor firms - and straightforward financial advice to the investing public. We all share a common mission to be the most trusted in financial advice. Who We Want Develop and optimize the systems, data, and processes that support the continued growth of Client Acquisition. Build deep expertise in the program's lead lifecycle, partner ecosystem, Contact Center workflows, technology platforms, and reporting to independently define requirements and drive operational improvements. Analyze program performance to identify friction, leakage, inefficiencies, and root causes that affect lead quality, conversion, and scalability. Translate strategic priorities and complex business challenges into clearly structured processes, documentation, and technical requirements. Partner with internal teams and external lead-generation partners to implement solutions and drive adoption. Balance detailed operational ownership with a broader focus on developing the infrastructure needed to scale the program effectively. What To Expect Process Development and Optimization: Own the development, documentation, and continuous improvement of Client Acquisition processes. Map workflows, analyze program performance, and identify friction, root causes, and opportunities to improve lead quality, conversion, efficiency, and scalability. Identify opportunities to automate activities, implement tools, or modify processes to reduce manual intervention while supporting necessary manual processes until scalable solutions are available. Capture lessons learned, refine practices, and proactively identify areas where the program's technical or operational maturity requires improvement. Requirements and Technology Backlog Management: Partner directly with Client Acquisition leadership to translate strategic priorities into clear, actionable business and technical requirements. Own the intake, evaluation, prioritization, and ongoing management of the technology and data enhancement backlog in partnership with leadership and internal Technology and Data teams. Evaluate requests based on impact, urgency, effort, dependencies, and tradeoffs, and provide appropriate visibility to marketing leadership. Maintain the program's active technology bug list, monitor outstanding issues, and track items through resolution. Lead Lifecycle and Vendor Performance: Analyze the performance and quality of third-party paid lead aggregators in partnership with the Contact Center. Validate lead quality, identify invalid or noncompliant leads, and facilitate refund processes with vendors to promote accountability and consistent lead quality. Partner with Client Acquisition leaders and external lead-generation partners to translate performance insights into improvements across targeting, lead quality, routing, qualification, volume, and conversion. Evaluate the end-to-end lead lifecycle, including acquisition, qualification, routing, appointment setting, advisor handoff, and reporting, to identify gaps and improvement opportunities. Systems and Workflow Management: Work directly within systems such as HubSpot, Salesforce, Power BI, Catchlight, Calendly, and similar tools to understand how data and processes connect across the lead lifecycle. Develop and maintain process documentation, use cases, workflow maps, and requirements that can be effectively used by technical partners for solution development. Document and improve Contact Center workflows related to lead intake, routing, qualification, appointment setting, handoffs, exception handling, and follow-up. Review and continuously improve advisor scheduling onboarding and integrations by establishing scalable processes for setup, troubleshooting, handoffs, escalation, and issue resolution. Implementation and Change Management: Coordinate business acceptance testing and implementation readiness to confirm that delivered solutions meet defined requirements and align with existing processes after rollout. Lead implementation and change management for new tools, features, and process changes, including communication planning, training materials, rollout coordination, stakeholder feedback, and adoption tracking. Tailor implementation and change-management activities for internal team members and advisor-facing audiences. Validate that delivered solutions address the original business need and drive post-launch optimization based on adoption, feedback, and performance results. Reporting and Program Insights: Support weekly and monthly business review processes by structuring and maintaining the underlying data, metrics, and definitions used in leadership reporting. Track adoption, stakeholder feedback, initiative performance, and operational impact. Translate findings into insights, optimization opportunities, and best practices that support informed decision-making and continued program improvement. Communicate findings clearly to technical and nontechnical audiences. Other Duties: Perform additional tasks, duties, and responsibilities as needed or assigned by leadership to support departmental and organizational objectives. What You Need Bachelor's degree in business, communications, information systems, or a related field preferred. Minimum of eight years of professional experience required, preferably in a matrixed organization and cross-functional setting. Minimum of five years of experience in financial services or a related industry preferred. Demonstrated experience acting as both business analyst and process/operations owner-comfortable owning both the "what should we build" and the "how do we make sure it works" sides of the equation-required. Experience managing or supporting implementation of new CRM features, data systems, or lead lifecycle improvements preferred. Experience working within Agile or hybrid project management frameworks preferred. Strong working knowledge of CRM and data platforms required; Salesforce experience strongly preferred and HubSpot experience a plus. Outstanding written and verbal communication skills, with the ability to tailor messaging across technical and non-technical audiences required. Highly organized, with exceptional attention to detail and follow-through in the absence of a dedicated technical counterpart required. Comfortable working independently in ambiguity while maintaining strong collaboration within a small, fast-moving team required. EEO Statement: In exchange for your expertise, we offer a base salary, bonus potential, 401(k) plus matching, health benefits, and a great working environment. This is your chance to play a key role in the continued success of our company. Our culture is fast-paced, collaborative, innovative, and focused on healthy living. Carson strives to promote the health and wellness of its stakeholders by maintaining a tobacco-free workplace. We are an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, gender, national origin, disability, protected veteran status, sexual orientation, age or any other characteristic protected by law. The total rewards expected for this role include: Starting annual base salary between $135,000 - 155,000. Variable compensation potential (Bonus and/or commissions) Competitive benefits including 401(k) with company contribution, PTO, Parental Leave, Medical, Dental, Vision, Health Savings Accounts, Flexible Spending Accounts, Life and AD&D Insurance, Short and Long-Term Disability, Work/Life Benefits and Holistic Wellbeing Programs.

Job Description Job Description Datavant is the data collaboration platform trusted for healthcare. Guided by our mission to make the world's health data secure, accessible and actionable, we provide critical data solutions for organizations across the healthcare ecosystem - including providers, health plans, researchers, and life sciences companies. From fulfilling a single patient's request for their medical records to powering the AI revolution in healthcare, Datavanters are building the future of how data is connected and used to improve health. By joining Datavant today, you're stepping onto a driven and highly collaborative team that is passionate about creating transformative change in healthcare. What We're Looking For We're looking for a Senior Site Reliability Engineer to join our Data & ML Platform team. You'll be at the forefront of building and operating a resilient, observable, and scalable platform that enables mission-critical data and ML workloads across our organization. This role is ideal for someone who combines a strong SRE mindset with deep cloud infrastructure and data platform experience . You're comfortable operating at scale in a complex, hybrid cloud environment and can architect systems that balance velocity, safety, and cost. You'll work closely with Data & ML Engineers, Data Scientists, Analysts, and App Engineering teams to build a modern data platform that is secure, self-service, and production-grade. What You Will Do Operate and Improve Databricks and Snowflake : Own Databricks & Snowflake platforms lifecycle-including automation, workspace governance, job orchestration, and cost optimization. Design for Reliability : Architect resilient, scalable, and secure infrastructure across cloud environments. Drive initiatives around failover, autoscaling, chaos testing, and capacity planning. Advance Observability : Build and maintain platform-wide monitoring, alerting, and logging infrastructure using Datadog and other open tooling. Define and enforce SLOs/SLAs for critical services. Drive CI/CD for Data & ML : Automate deployments of data pipelines, ML workflows, and infra components using GitHub Actions , Terraform, and related IaC tooling. Enable Data Flow Across Platforms : Build patterns and tooling to support inter- and intra-cloud data movement across systems like Snowflake, S3, Delta Lake, and Kafka. Champion Event-Driven Architectures : Leverage cloud-native tools like EventBridge , SNS/SQS, and Lambda to build loosely coupled, scalable data systems. Collaborate Across Teams : Serve as the SRE and platform partner for teams across the organization, ensuring the platform meets the needs of analytics, data science, and product use cases. Contribute to Strategy : Influence engineering-wide decisions on data platform architecture , ML enablement , and data product strategy . What You Need to Succeed 6+ years in SRE, platform engineering, or DevOps roles supporting data-intensive or ML-powered applications. AI-native working style: daily use of Claude Code, Cursor, Copilot, or equivalent, with views on how they make a team faster. Hands-on Databricks experience , including workspace setup, cluster/job management, and integration with CI/CD and data orchestration tools. Experience with Snowflake as well. Deep understanding of cloud-native infrastructure on AWS (or similar), including VPCs, IAM, event-driven patterns, and serverless compute. Proven expertise with observability tools (especially Datadog) and architecting platform-wide logging and monitoring solutions. Strong command of CI/CD tooling , especially GitHub Actions , infrastructure-as-code (Terraform), and deployment automation for data systems. Working knowledge in shell scripting and Python. Experience building and supporting highly available, fault-tolerant systems . Excellent communication and collaboration skills; able to work effectively across teams. What Helps You Stand Out DevSecOps mindset : Familiarity with implementing security best practices in IaC, CI/CD, secret management, and audit logging. Experience with ML infrastructure tooling such as MLflow, Feature Stores, and GPU workload orchestration. Strong experience in both Databricks and Snowflake in a large scale production lakehouse with cross-warehouse interoperability, e.g. Iceberg v3, Glue, etc. Background in compliance-aware architecture (e.g., HIPAA, SOC 2) or regulated industries. Familiarity with multi-cloud or hybrid cloud data environments ; experience with Azure. Contributions to open-source infrastructure, SRE, or observability tools. We are committed to building a diverse team of Datavanters who are all responsible for stewarding a high-performance culture in which all Datavanters belong and thrive. We are proud to be an Equal Employment Opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity, religion, national origin, disability, veteran status, or other legally protected status. At Datavant our total rewards strategy powers a high-growth, high-performance, health technology company that rewards our employees for transforming health care through creating industry-defining data logistics products and services. The range posted is for a given job title, which can include multiple levels. Individual rates for the same job title may differ based on their level, responsibilities, skills, and experience for a specific job. The estimated total cash compensation range for this role is: $168,000-$200,000 USD To ensure the safety of patients and staff, many of our clients require post-offer health screenings and proof and/or completion of various vaccinations such as the flu shot, Tdap, COVID-19, etc. Any requests to be exempted from these requirements will be reviewed by Datavant Human Resources and determined on a case-by-case basis. Depending on the state in which you will be working, exemptions may be available on the basis of disability, medical contraindications to the vaccine or any of its components, pregnancy or pregnancy-related medical conditions, and/or religion. This job is not eligible for employment sponsorship. Datavant is committed to a work environment free from job discrimination. We are proud to be an Equal Employment Opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity, religion, national origin, disability, veteran status, or other legally protected status. To learn more about our commitment, please review our EEO Commitment Statement here. Know Your Rights, explore the resources available through the EEOC for more information regarding your legal rights and protections. In addition, Datavant does not and will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay. At the end of this application, you will find a set of voluntary demographic questions. If you choose to respond, your answers will be anonymous and will help us identify areas for improvement in our recruitment process. (We can only see aggregate responses, not individual ones. In fact, we aren't even able to see whether you've responded.) Responding is entirely optional and will not affect your application or hiring process in any way. Datavant is committed to working with and providing reasonable accommodations to individuals with physical and mental disabilities. If you need an accommodation while seeking employment, please request it here, by selecting the 'Interview Accommodation Request' category. You will need your requisition ID when submitting your request, you can find instructions for locating it here. Requests for reasonable accommodations will be reviewed on a case-by-case basis. For more information about how we collect and use your data, please review our Privacy Policy.

Job Description Job Description The Electronic Data Interchange (EDI) Analyst will be responsible for managing Penumbra's EDI system and transactions. It is a critical position to ensure the success of EDI usage and will be the primary point of contact between Penumbra and customers to resolve EDI issues. What You'll Work On • Monitor, troubleshoot, and resolve EDI issues and errors in a timely and efficient manner • Act as liaison between our Customer and Field Support Operations (CFSO) team and our IT, Logistics, Finance and Sales teams to resolve EDI issues • Collaborate with internal and external stakeholders to increase EDI volume, capabilities, and performance • Work directly with customers to facilitate onboarding, offboarding, and issue resolution • Provide technical support and guidance to internal users and trading partners on EDI-related matters • Demonstrate excellent communication skills (both written and verbal) including the ability to communicate ideas within the team, resolve differences and fully support the customer • Demonstrate analytical skills and ability to review EDI data and make recommendations about corrective actions to internal and external stakeholders • Maintain and update EDI documentation, standards, and procedures • Stay abreast of the latest EDI trends, technologies, and regulations in the healthcare industry. • Adhere to the Company's Quality Management System (QMS) as well as domestic and global quality system regulations, standards, and procedures. • Understand relevant security, privacy and compliance principles and adhere to the regulations, standards, and procedures that are applicable to the Company. • Ensure other members of the department follow the QMS, regulations, standards, and procedures. • Perform other work-related duties as assigned What You Contribute • Bachelor's degree in business, computer science, information systems, or a related field, or equivalent relevant work experience • 4+ years of EDI experience, experience with the GHX platform is highly desirable. • Experience in the medical device industry dealing with hospital customers. • Leadership experience in EDI function • Strong oral, written and interpersonal communication skills. • Deep analytical skills • High degree of accuracy and attention to detail • Proficiency with MS Excel, Word and PowerPoint • Excellent organizational skills with ability to prioritize assignments while handling various projects simultaneously. • Ability to exercise discretion and good judgment with confidential and sensitive information. • Ability to project manage internal stakeholders. Working Conditions General office environment. Requires some lifting and moving of up to 25 pounds. Hybrid work schedule. Willingness and ability to work on site at headquarters at least 2 times a week, with the understanding that amount is subject to change based on business need. Must be able to move between buildings and floors. Must be able to remain stationary and use a computer or other standard office equipment, such as a printer or copy machine, for an extensive period of time each day. Must be able to read, prepare emails, and produce documents and spreadsheets. Must be able to move within the office and access file cabinets or supplies, as needed. Must be able to communicate and exchange accurate information with employees at all levels on a daily basis. Annual Base Salary Range: $100,000 - $150,000 This is the pay range for a high-cost labor market; if hired in another region, there will be a difference in pay range. We offer a competitive compensation package plus a benefits and equity program, when applicable. Individual total compensation will vary based on factors such as qualifications, skill level, competencies, and work location. What We Offer • A collaborative teamwork environment where learning is constant, and performance is rewarded. • The opportunity to be part of the team that is revolutionizing the treatment of some of the world's most devastating diseases. • A generous benefits package for eligible employees that includes medical, dental, vision, life, AD&D, short and long-term disability insurance, 401(k) with employer match, paid parental leave, eleven paid company holidays per year, a minimum of fifteen days of accrued vacation per year, which increases with tenure, and paid sick time in compliance with applicable law(s). Penumbra, Inc., headquartered in Alameda, California, is a global healthcare company focused on innovative therapies. Penumbra designs, develops, manufactures, and markets novel products and has a broad portfolio that addresses challenging medical conditions in markets with significant unmet need. Penumbra sells its products to hospitals and healthcare providers primarily through its direct sales organization in the United States, most of Europe, Canada, and Australia, and through distributors in select international markets. The Penumbra logo is a trademark of Penumbra, Inc. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, age, disability, military or veteran status, or any other characteristic protected by federal, state, or local laws. If you reside in the State of California, please also refer to Penumbra's Privacy Notice for California Residents. For additional information on Penumbra's commitment to being an equal opportunity employer, please see Penumbra's AAP Policy Statement.

Job Description Job Description ATFM Analyst / Strategist CGH Technologies, Inc. (CGH) is a business solutions firm specializing in Data Management, Software Engineering, and Business Intelligence. Based in the Washington, D.C. corridor, CGH supports government, commercial, and international clients with management consulting, software development, infrastructure and facilities support, and program management for large, complex operational environments. CGH has an exciting opportunity for an Air Traffic Flow Management (ATFM) Analyst / Strategist to join our team supporting the FAA's PERTI program. Position Overview The ATFM Analyst / Strategist provides operational analysis, advanced planning, and customer support for the PERTI contract. This position works closely with FAA personnel, aviation stakeholders, meteorologists, field facilities, and other operational partners to analyze conditions across the National Airspace System (NAS), identify potential constraints, and support the development and communication of strategic traffic management plans. This is a mission-critical position supporting a 24/7/365 operational environment. Key Responsibilities Schedule and support OPS and PERTI webinars. Review, analyze, and maintain OPSNET, NAS Daily, and other operational reports. Analyze weather products, Technical Operations data, system impact reports, traffic demand, and other potential constraints to develop PERTI advanced planning content. Collaborate with National Aviation Meteorologists to review forecast en route and terminal conditions, outlooks, maps, and potential operational impacts. Develop, review, and conduct daily collaborative advanced planning webinars and supporting PDF materials. Prepare, finalize, distribute, and upload advanced planning documents to FAA systems and websites. Provide direct support to the National Operations Manager (NOM) and Planner during planning webinars, including presentation preparation, slide updates, call-list management, log entries, and advisories. Coordinate with NAV CANADA regarding potential constraints, CAN routes, and other cross-border operational considerations. Manage Zoom webinar registration, information sharing, attendee reporting, and scheduling. Coordinate with field facilities, airlines, aviation representatives, and DDSO offices regarding SIRs, construction, weather, and other events that may affect NAS operations. Coordinate with ATCSCC Space Operations regarding launch and recovery activities, including potential NAS impacts, NOTAM information, and development of supporting graphics. Conduct VACAPES next-day planning conferences with ZDC, Giantkiller, ZBW, and ZNY when required. Develop materials and participate in weekly CADENA web conferences. Prepare daily summaries of significant NAS activity. Provide same-day, prior-day, next-day, historical, demand, and Traffic Management Initiative (TMI) analysis in response to operational needs and ad hoc NOM requests. Compile and complete the daily PERTI plan review and distribute it to appropriate stakeholders and managers. Provide training and briefings to new NTMOs on PERTI responsibilities, tools, processes, and planning fundamentals. Provide coaching, feedback, and mentoring to NTMOs training on operational planner and PERTI responsibilities. Support the development and continuous improvement of operational and planning tools, processes, and procedures. QUALIFICATIONS Experience 3+ years of demonstrated hands-on experience in an Analyst/Strategist or related role. Experience supporting complex, time-sensitive aviation or operational environments is preferred. Education Bachelor's degree required. Degree in Engineering, Science, Mathematics, or a related technical discipline preferred. Technical & Computer Skills Proficiency with Microsoft Office Suite. Ability to review, interpret, and communicate operational and technical information. Ability to analyze multiple sources of data and translate findings into clear, actionable planning information. Knowledge, Skills & Abilities U.S. Citizen or person with valid U.S. Work Visa who has lived in the U.S. for three or more years. Must be available for shift work (day, swing, evening) as the team operates 24x7x365, including holidays. Strong interpersonal, verbal, and written communication skills. Must be highly organized, reliable, and possess excellent time-management skills. Must be a team player with a proactive work style. Strong analytical and problem-solving skills. Ability to prioritize and perform effectively in a fast-paced, mission-critical operational environment. Ability to work effectively with government customers, operational personnel, and aviation industry stakeholders. Ability to work independently while contributing effectively within a collaborative team environment. Physical Requirements While performing the duties of this position, the individual is regularly required to sit, stand, talk, hear, and use a computer, keyboard, and mouse for several hours each day. Occasional light lifting of up to 10 pounds may be required. Government Eligibility Candidates selected will be subject to a Government background investigation and must meet eligibility requirements. Compensation The hiring range for this position, expressed as an annualized full-time equivalent (FTE), is $150K-$160K pe r year , based on relevant experience and position requirements as determined by the customer parameters. Please note: This is a part-time position. Actual earnings will be prorated based on the employee's scheduled hours. Benefits CGH offers a comprehensive benefits package, including: 401(k) retirement plan Paid Time Off (PTO) Join the CGH Team If you are an analytical, collaborative aviation professional who thrives in a dynamic operational environment and wants to contribute to the safe and efficient operation of the National Airspace System, we encourage you to apply. CGH Technologies, Inc. is an Equal Opportunity Employer. Job Posted by ApplicantPro

Job Family: Data Science Consulting Travel Required: Up to 10% Clearance Required: Active Secret What You Will Do: The Data Scientist will focus on performing ETL / data cleaning, developing interactive visualizations, building predictive models, and support implementing Artificial Intelligence solutions tied to asset and material maintenance and management data, as well as policy data. The data analyst will be responsible for all of the following to include but not limited to: Dedicated to workstream tasking and reports directly to the workstream lead Working closely with workstream lead in day-to-day execution of project tasks Collect, and analyze diverse data for creation of performance metrics and producing outputs to client What You Will Need: An ACTIVE and MAINTAINED "SECRET" Federal or DoD security clearance. Bachelors Degree. THREE (3) or more years of specialized experience in data analysis. Python or R Programming experience Experience in at least one visualization tool (e.g. Tableau, Qlik, Power BI) Must be able to be on client site at least 3-4 days a week in the Tidewater area. What Would Be Nice To Have: Experience developing data pipelines and scripts using Databricks Experience developing in Palantir Foundry RPA or general automation experience in UiPath or Microsoft Power Automate Experience implementing military or industry business solutions and services Experience in understanding and applying data to develop reports, visualizations, and other deliverables Experience in analysis of statistical and mathematical modeling of data (i.e., regression analysis, simulation, impact analyses, geographic analyses, performance measurement/management) Experience with the Microsoft Power Platform (Power Apps, Power Automate, Power BI) (Desirable) Knowledge of Navy operations and data systems, in particular Naval supply and or maintenance What We Offer: Guidehouse offers a comprehensive, total rewards package that includes competitive compensation and a flexible benefits package that reflects our commitment to creating a diverse and supportive workplace. Benefits include: Medical, Rx, Dental & Vision Insurance Personal and Family Sick Time & Company Paid Holidays Position may be eligible for a discretionary variable incentive bonus Parental Leave and Adoption Assistance 401(k) Retirement Plan Basic Life & Supplemental Life Health Savings Account, Dental/Vision & Dependent Care Flexible Spending Accounts Short-Term & Long-Term Disability Student Loan PayDown Tuition Reimbursement, Personal Development & Learning Opportunities Skills Development & Certifications Employee Referral Program Corporate Sponsored Events & Community Outreach Emergency Back-Up Childcare Program Mobility Stipend About Guidehouse Guidehouse is an Equal Opportunity Employer-Protected Veterans, Individuals with Disabilities or any other basis protected by law, ordinance, or regulation. Guidehouse will consider for employment qualified applicants with criminal histories in a manner consistent with the requirements of applicable law or ordinance including the Fair Chance Ordinance of Los Angeles and San Francisco. If you have visited our website for information about employment opportunities, or to apply for a position, and you require an accommodation, please contact Guidehouse Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodation. All communication regarding recruitment for a Guidehouse position will be sent from Guidehouse email domains or . Correspondence received by an applicant from any other domain should be considered unauthorized and will not be honored by Guidehouse. Note that Guidehouse will never charge a fee or require a money transfer at any stage of the recruitment process and does not collect fees from educational institutions for participation in a recruitment event. Never provide your banking information to a third party purporting to need that information to proceed in the hiring process. If any person or organization demands money related to a job opportunity with Guidehouse, please report the matter to Guidehouse's Ethics Hotline. If you want to check the validity of correspondence you have received, please contact . Guidehouse is not responsible for losses incurred (monetary or otherwise) from an applicant's dealings with unauthorized third parties. Guidehouse does not accept unsolicited resumes through or from search firms or staffing agencies. All unsolicited resumes will be considered the property of Guidehouse and Guidehouse will not be obligated to pay a placement fee.

Cobalt Benefits Group is seeking an Information Security Analyst to help safeguard information assets and technology services across cloud and on-premises environments. The analyst will monitor security controls, investigate alerts, coordinate remediation, and improve the organization's ability to prevent, detect, and respond to cybersecurity risk. The successful candidate will bring practical experience across multiple security domains rather than expertise in a single vendor platform. The role works closely with IT Operations, infrastructure, and application teams in a regulated environment. Security Operations & Incident Response Monitor managed detection and response, endpoint, identity, email, network, cloud, and security analytics platforms for suspicious activity. Triage and investigate alerts; document findings; coordinate containment, remediation, recovery, and post-incident follow-up. Analyze event, identity, endpoint, cloud, application, and network logs to distinguish security incidents from expected activity and false positives. Maintain incident response plans, investigation procedures, escalation paths and case documentation. Cloud, Identity & Secure Access Assess and improve security across public cloud subscriptions, storage, workloads, applications, and hybrid connectivity. Administer identity and access controls including multifactor authentication, conditional access, role-based access, privileged access, service identities, access reviews, and joiner-mover-leaver processes. Support Zero Trust and secure access services for private applications. Partner with administrators and engineers to design secure access for cloud data platforms, application hosting, and future AI-enabled services. Data Protection, Human Risk & Insider Risk Operate data security posture management capabilities to discover sensitive data, excessive access, shadow data, orphaned files, and insecure sharing. Administer data loss prevention controls across email, endpoints, collaboration platforms, cloud services, applications, and file repositories. Support data discovery, classification, information protection, retention, encryption, and remediation workflows for regulated and confidential information. Administer security awareness training, phishing simulations, targeted education, completion tracking, and human-risk reporting. Endpoint, Network & Application Security Support endpoint detection and response, device security, mobile device management, application control, browser protection, and workstation security baselines. Coordinate vulnerability and exposure management across endpoints, servers, network devices, databases, applications, and cloud workloads and prioritize remediation through patching. Assess application and infrastructure changes for secure configuration, logging, access, data protection, and resilience requirements. Monitor security systems, including firewalls, intrusion detection systems, to detect and respond to security incidents in a timely manner. Collaborate on operating system, application, firmware, and security patching; validate remediation and document accepted exceptions. Resilience, Governance & Continuous Improvement Support backup, recovery, immutable storage, business continuity, and disaster recovery security requirements. Maintain policies, standards, procedures, diagrams, and inventories. Contribute to automation and repeatable analysis using scripting, query languages, and workflow integrations. Evaluate emerging security requirements for cloud, software-as-a-service, and AI Agents. Partner with business and technology stakeholders to establish AI governance, security controls, and risk management practices that enable the responsible use of generative AI, AI agents, automation, and machine-to-machine services. Contribute to the organization's AI Risk Management Framework (AI RMF) program by supporting AI inventory management, risk assessments, control validations, policy development, monitoring activities, and ongoing governance reviews. Job Requirements Bachelor's degree in Cybersecurity, Computer Science, Information Technology, or a related field, or equivalent relevant experience. Three to five years of experience in security operations, cloud security, infrastructure security, or a comparable role. Hands-on experience investigating alerts and working across endpoint, identity, email, network, cloud, and data security controls. Experience with vulnerability assessment, remediation tracking, patch management, incident response, and security control validation. Understanding of data discovery, classification, data loss prevention, sensitive-information handling, and insider-risk concepts. Ability to explain technical findings, business impact, and recommended actions to both technical and non-technical audiences. Strong judgment, discretion, documentation, analytical thinking, and the ability to manage multiple priorities. Preferred Qualifications Experience in a regulated environment and familiarity with security or compliance frameworks such as NIST, MITRE ATT&CK, SOC 2, or HITRUST. Experience securing hybrid environments with cloud infrastructure, productivity platforms, on-premises systems, virtualized infrastructure, and software-as-a-service applications. Working knowledge of cloud security, identity governance, and hybrid infrastructure. Familiarity with security information and event management, extended detection and response, cloud security posture management, web application protection, and security orchestration. Experience with scripting or security analytics using PowerShell, query languages, or comparable automation methods. Relevant industry or cloud security certifications Compensation details: 00 Yearly Salary PIa2265b041df4-1463

Job Description Job Description Summary The Data Center Operations (DCO) role is to provide support for over 3,000 end-users at the Brooklyn Hospital center including remote site. The Data Center Operations is primarily responsible for backend related functions (e.g. network and servers) serving as the point of contact for the Service Desk Analyst (SDA) team, Telecommunication Voice (TELV) team, and other various IT related teams in backend related issues and escalation. While primarily working on backend system, the DCO roles support the SDA and TELV teams during IT projects that other ongoing problems. Reports & Manager: Sr. Manager, Datacenter and Network Operations Primary Responsibilities • Incident ownership from start to the resolution of issues assigned to the Data Center Operations queue following the hospitals Service Level Agreements (SLA) and ITIL procedures established, including, but not limited to working on the issues end to end, documenting the issue fully from the initial troubleshooting steps to the final resolution, creating and/or modifying knowledge base articles that will speed up resolution for future incidents, working with 3rd parties/vendor support to solve issues, and follow all other additional procedures authorized by the Brooklyn Hospital Information Technology department. • Server administration tasks to include, but not limited to, troubleshooting server issues, permission issues, application issues, database issues, building, testing, modifying, decommissioning, scoping, and working with 3rd party vendors with servers located on The Brooklyn Hospital Data Center. As the escalation point the DCO will own the case until a resolution is found including document the issue for future issues, and following all other additional procedures authorized by the Brooklyn Hospital Information Technology department. • Network administration tasks include, but not limited to, load balancers, switch operations, router operations, servers operations (e.g. Cisco UCS Operations and other types of servers) using only authorized tools and applications/services to solve network related issues, and following all other additional procedures authorized by the Brooklyn Hospital Information Technology department. • Participate in The Brooklyn Hospital Center Information department related projects in addition to other duties that they may be assigned in accordance with The Brooklyn Hospital Information department guidelines alone and/or as part of a team, and following all other additional procedures authorized by the Brooklyn Hospital Information Technology department. • Supporting the Service Desk Analyst Team, Telecommunications Voice Team, and other IT-based teams for backend related issues from their own Incident queue that gets escalated from normal standard operating procedures. Minimum Job Requirements • Ability to work independently and/or as a team. • Demonstrates the ability to troubleshoot using ITIL methodology and also out-of-the-box thinking. • Advanced knowledge of the operating systems of Windows 10, Windows 11, Apple iPhone, Apple iPad, and/or Mac OSX. • Advanced Knowledge of Windows Server 2012/2016/2019 with a focus on Windows Active Directory, Ubuntu Linux OS (nice to have). • Working knowledge of Cisco Networking Equipment, including, but not limited to Cisco Catalyst and Nexus switches, Cisco software solutions of Cisco Prime, Cisco Stealth watch, Cisco ISE, and/or Cisco AMP or equivalent software. • Ability to understand VMware related products and/or Citrix related produces and/or Microsoft related productions that are both end user based and server-based solutions or hardware. • Ability to learn new systems independently and/or part of training sessions and/or part of knowledge base articles provided by the Brooklyn Hospital Information Technology Department. • ServiceNow platform or equivalent ITIL ticketing system use. • Remote Support Tools including by not limited to Bomgar, WebEx, and other equivalent tools that are authorized by the Brooklyn Hospital Information Technology department. • Understanding of Cisco IP VoIP systems or equivalent IP VoIP based systems • Basic creation knowledge of PowerShell and batch file scripting • Excellent writing and oral skills in English. • Ability to demonstrate, Adheres to, and promotes The Brooklyn Hospital Center's Service Excellence Standards • Exerting up to 100lbs of force semi-occasionally, and/or in excess of 50lbs frequently, and/or in excess of 20lbs of force constantly to move objects with reasonable accommodations. • Valid driver's license in order to travel to potential remote locations as part of the Brooklyn Hospital network or the ability to travel using public transit system • To be ability to work a standard shift, weekend, night time work, and/or irregular hour shifts for projects and other functions that might not happen during normal business hours. • Expected to respond to network and server related incidents at night time on a rotating schedule with other members as the escalations point of contact. Education • Bachelor's degree in an IT-related field or higher degree, and/or • Combination of relevant work experience (see below) and Certifications (see below) Work Experience • Minimum of five (5) years of relevant/equivalent work experience Certifications • CCNA or higher, either valid or within 2 years of it being expired, and/or • VMware/Citrix (Server or End User Management track), either valid or wishing 3 years of it being expired Special Notes • Ability to pass a compressive employment verification, background investigation, and medical tests, as designed by the Brooklyn Hospital Human Resources department prior to starting. • The offer letter is given to prospective employees, and then once the or above checks out with Human resources, employees are expected to start right away. Potential Exposers • Exposure to Hazardous Materials such as - wastes, dusts, gases, fumes, cold environments. Company Description The Brooklyn Hospital Center provides access to quality health care. TBHC is committed to service excellence and superior patient experience. Company Description The Brooklyn Hospital Center provides access to quality health care. TBHC is committed to service excellence and superior patient experience.

Job Family: Data Science Consulting Travel Required: Up to 10% Clearance Required: Active Secret What You Will Do: The Data Scientist will focus on performing ETL / data cleaning, developing interactive visualizations, building predictive models, and support implementing Artificial Intelligence solutions tied to asset and material maintenance and management data, as well as policy data. The data analyst will be responsible for all of the following to include but not limited to: Dedicated to workstream tasking and reports directly to the workstream lead Working closely with workstream lead in day-to-day execution of project tasks Collect, and analyze diverse data for creation of performance metrics and producing outputs to client What You Will Need: An ACTIVE and MAINTAINED "SECRET" Federal or DoD security clearance. Bachelors Degree. THREE (3) or more years of specialized experience in data analysis. Python or R Programming experience Experience in at least one visualization tool (e.g. Tableau, Qlik, Power BI) Must be able to be on client site at least 3-4 days a week in the Tidewater area. What Would Be Nice To Have: Experience developing data pipelines and scripts using Databricks Experience developing in Palantir Foundry RPA or general automation experience in UiPath or Microsoft Power Automate Experience implementing military or industry business solutions and services Experience in understanding and applying data to develop reports, visualizations, and other deliverables Experience in analysis of statistical and mathematical modeling of data (i.e., regression analysis, simulation, impact analyses, geographic analyses, performance measurement/management) Experience with the Microsoft Power Platform (Power Apps, Power Automate, Power BI) (Desirable) Knowledge of Navy operations and data systems, in particular Naval supply and or maintenance What We Offer: Guidehouse offers a comprehensive, total rewards package that includes competitive compensation and a flexible benefits package that reflects our commitment to creating a diverse and supportive workplace. Benefits include: Medical, Rx, Dental & Vision Insurance Personal and Family Sick Time & Company Paid Holidays Position may be eligible for a discretionary variable incentive bonus Parental Leave and Adoption Assistance 401(k) Retirement Plan Basic Life & Supplemental Life Health Savings Account, Dental/Vision & Dependent Care Flexible Spending Accounts Short-Term & Long-Term Disability Student Loan PayDown Tuition Reimbursement, Personal Development & Learning Opportunities Skills Development & Certifications Employee Referral Program Corporate Sponsored Events & Community Outreach Emergency Back-Up Childcare Program Mobility Stipend About Guidehouse Guidehouse is an Equal Opportunity Employer-Protected Veterans, Individuals with Disabilities or any other basis protected by law, ordinance, or regulation. Guidehouse will consider for employment qualified applicants with criminal histories in a manner consistent with the requirements of applicable law or ordinance including the Fair Chance Ordinance of Los Angeles and San Francisco. If you have visited our website for information about employment opportunities, or to apply for a position, and you require an accommodation, please contact Guidehouse Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodation. All communication regarding recruitment for a Guidehouse position will be sent from Guidehouse email domains or . Correspondence received by an applicant from any other domain should be considered unauthorized and will not be honored by Guidehouse. Note that Guidehouse will never charge a fee or require a money transfer at any stage of the recruitment process and does not collect fees from educational institutions for participation in a recruitment event. Never provide your banking information to a third party purporting to need that information to proceed in the hiring process. If any person or organization demands money related to a job opportunity with Guidehouse, please report the matter to Guidehouse's Ethics Hotline. If you want to check the validity of correspondence you have received, please contact . Guidehouse is not responsible for losses incurred (monetary or otherwise) from an applicant's dealings with unauthorized third parties. Guidehouse does not accept unsolicited resumes through or from search firms or staffing agencies. All unsolicited resumes will be considered the property of Guidehouse and Guidehouse will not be obligated to pay a placement fee.