Job Description Job Description Enterprise Solutions and Management (ESM) is a rapidly growing government contractor that provides strategic IT services that meet mission needs for Defense and Federal customers. We are hiring a Software System Engineer- Lead to support an enterprise-level program within a federal environment. Job Description and Responsibilities Provides technical leadership and oversight for the design, development, integration, implementation, and sustainment of complex software systems. Defines system requirements and technical specifications while developing software and system architectures that integrate hardware, software, network infrastructure, and communications to meet current and future mission requirements. Serves as the senior technical authority for software systems engineering, ensuring solutions meet performance, security, interoperability, and Department of Defense (DoD) architecture standards. Evaluates existing and emerging technologies, identifies system deficiencies and technical risks, and recommends modernization, upgrades, and enhancements. Collaborates with program management and engineering teams to establish technical direction, support project planning, and oversee all phases of the software development lifecycle, including design, coding, integration, testing, validation, documentation, and maintenance. Leads and mentors engineering personnel, assigns and reviews technical work, and ensures engineering deliverables meet established quality and performance standards. Provides oversight of software quality assurance, configuration management, system optimization, and operational sustainment to ensure reliable, secure, and mission-ready software solutions. Required Knowledge, Skills and Abilities (KSA) Knowledge of software engineering principles, methodologies, and the software development lifecycle, including requirements analysis, system design, development, integration, testing, and sustainment of complex software applications. Ability to design, evaluate, and oversee complex system architectures integrating hardware, software, network infrastructure, and communications to support current and future operational requirements. Ability to provide technical direction, lead engineering teams, mentor personnel, delegate assignments, and evaluate technical deliverables to ensure quality, efficiency, and mission success. Knowledge of DoD architecture frameworks, open systems standards, interoperability requirements, and applicable engineering and security guidelines to ensure compliant and effective system solutions. Ability to assess complex technical challenges, identify system deficiencies and risks, evaluate emerging technologies, and recommend software and hardware modernization, upgrades, and improvements. Ability to collaborate with program and project management, establish technical priorities, support project planning, and oversee software testing, validation, configuration management, documentation, and quality assurance. Desired KSA Be a positive, self-motivated, and proactive person with the ability to adapt to change and tolerate stressful situations Candidate must communicate effectively with team members, team lead, management, and government customers Must have the ability and desire to research and develop creative solutions to unique problems with minimal supervision Minimum Training, Education, and Certifications Ten (10) years of experience of experience with systems engineering and software development Experience with Business Intelligence platforms, analytics, data modeling, and dashboard design. Experience implementing modern security solutions (e.g., Identity, Credential, and Access Management (ICAM Relevant certification from a nationally recognized technical authority. Commuting proximity to Columbus, OH or Ft Belvoir, VA required Minimum Clearance Secret Physical Requirements Required to stand, walk and sit; communicate verbally both in person and by telephone; use hands to finger, handle or feel objects or controls; reach with hands and arms. Regularly required to stoop, kneel, bend, crouch and lift up to 25 pounds. Specific vision abilities required by this job include close vision, distance vision, depth perception, color vision and the ability to adjust focus. Physical demands associated with this position include extensive walking (including stairs) throughout offices and between buildings. May require use of public transportation, personal or Government vehicle to drive to local and/or remote office locations. Additional Requirements Other duties as assigned ESM provides equal employment opportunity to all individuals regardless of race, color, creed, religion, gender, age, sexual orientation, national origin or ancestry, disability, genetic information, veteran status, gender identification or any other characteristic protected by state, federal or local law
11/14/2026
Full time
Job Description Job Description Enterprise Solutions and Management (ESM) is a rapidly growing government contractor that provides strategic IT services that meet mission needs for Defense and Federal customers. We are hiring a Software System Engineer- Lead to support an enterprise-level program within a federal environment. Job Description and Responsibilities Provides technical leadership and oversight for the design, development, integration, implementation, and sustainment of complex software systems. Defines system requirements and technical specifications while developing software and system architectures that integrate hardware, software, network infrastructure, and communications to meet current and future mission requirements. Serves as the senior technical authority for software systems engineering, ensuring solutions meet performance, security, interoperability, and Department of Defense (DoD) architecture standards. Evaluates existing and emerging technologies, identifies system deficiencies and technical risks, and recommends modernization, upgrades, and enhancements. Collaborates with program management and engineering teams to establish technical direction, support project planning, and oversee all phases of the software development lifecycle, including design, coding, integration, testing, validation, documentation, and maintenance. Leads and mentors engineering personnel, assigns and reviews technical work, and ensures engineering deliverables meet established quality and performance standards. Provides oversight of software quality assurance, configuration management, system optimization, and operational sustainment to ensure reliable, secure, and mission-ready software solutions. Required Knowledge, Skills and Abilities (KSA) Knowledge of software engineering principles, methodologies, and the software development lifecycle, including requirements analysis, system design, development, integration, testing, and sustainment of complex software applications. Ability to design, evaluate, and oversee complex system architectures integrating hardware, software, network infrastructure, and communications to support current and future operational requirements. Ability to provide technical direction, lead engineering teams, mentor personnel, delegate assignments, and evaluate technical deliverables to ensure quality, efficiency, and mission success. Knowledge of DoD architecture frameworks, open systems standards, interoperability requirements, and applicable engineering and security guidelines to ensure compliant and effective system solutions. Ability to assess complex technical challenges, identify system deficiencies and risks, evaluate emerging technologies, and recommend software and hardware modernization, upgrades, and improvements. Ability to collaborate with program and project management, establish technical priorities, support project planning, and oversee software testing, validation, configuration management, documentation, and quality assurance. Desired KSA Be a positive, self-motivated, and proactive person with the ability to adapt to change and tolerate stressful situations Candidate must communicate effectively with team members, team lead, management, and government customers Must have the ability and desire to research and develop creative solutions to unique problems with minimal supervision Minimum Training, Education, and Certifications Ten (10) years of experience of experience with systems engineering and software development Experience with Business Intelligence platforms, analytics, data modeling, and dashboard design. Experience implementing modern security solutions (e.g., Identity, Credential, and Access Management (ICAM Relevant certification from a nationally recognized technical authority. Commuting proximity to Columbus, OH or Ft Belvoir, VA required Minimum Clearance Secret Physical Requirements Required to stand, walk and sit; communicate verbally both in person and by telephone; use hands to finger, handle or feel objects or controls; reach with hands and arms. Regularly required to stoop, kneel, bend, crouch and lift up to 25 pounds. Specific vision abilities required by this job include close vision, distance vision, depth perception, color vision and the ability to adjust focus. Physical demands associated with this position include extensive walking (including stairs) throughout offices and between buildings. May require use of public transportation, personal or Government vehicle to drive to local and/or remote office locations. Additional Requirements Other duties as assigned ESM provides equal employment opportunity to all individuals regardless of race, color, creed, religion, gender, age, sexual orientation, national origin or ancestry, disability, genetic information, veteran status, gender identification or any other characteristic protected by state, federal or local law
Job Description Job Description Description: Hybrid onsite in either Providence, RI Our client seeks a Senior Manager, Business Intelligence to lead the strategy and delivery of enterprise analytics using Snowflake, modern BI platforms, and AI-driven insights. The role manages a BI team, partners with cross-functional leaders, and ensures scalable, governed, and trusted data products. The leader will advance metric consistency, self-service adoption, and integration of predictive and diagnostic analytics to inform executive decision-making. This is a full-time, permanent opportunity, offering a competitive salary and comprehensive benefits package. Qualified applicants must be willing and able to work on a w2 basis. Salary: $147,500 - $180,125/ yr. w2 Responsibilities: Lead, mentor, and develop a team of BI analysts and developers. Define and execute the BI roadmap aligned with enterprise data and AI strategy. Serve as a trusted advisor to senior leaders by translating business needs into analytics solutions. Establish best practices for BI development, data governance, and analytics delivery. Oversee design and optimization of data models in Snowflake, including fact, dimension, and semantic layers. Partner with Data Engineering to ensure reliable pipelines, data quality, and performance optimization. Manage Snowflake cost, performance, and scalability, including warehouse sizing and query optimization. Promote reusable and scalable data assets across the enterprise. Deliver executive-level dashboards, KPIs, and self-service analytics using Power BI, Tableau, or Looker. Ensure consistent metric definitions and a single source of truth. Drive self-service adoption with strong governance and data integrity. Advance analytics maturity from descriptive to diagnostic and predictive insights. Integrate AI and machine learning insights into BI products such as forecasting, anomaly detection, and predictive KPIs. Partner with Data Science and Engineering to surface model outputs in dashboards and decision-support tools. Leverage Snowflake-native and modern AI platforms to accelerate insight delivery. Champion responsible AI practices, explainability, and ethical data use. Collaborate with Product, Finance, Marketing, Operations, and Engineering stakeholders. Translate complex analysis into clear, actionable recommendations. Prioritize BI initiatives based on business impact and goals. Experience Requirements: 10+ years in business intelligence, analytics, or data roles. 5+ years of people management or technical leadership experience. Strong hands-on experience with Snowflake as a cloud data warehouse. Advanced SQL skills and strong understanding of data modeling concepts. Proven experience delivering enterprise BI solutions using modern visualization tools such as Power BI, Tableau, or Looker. Experience or working knowledge of agentic AI applications. Proven ability to communicate insights to executive and non-technical audiences. Experience integrating AI/ML outputs into BI dashboards and workflows (preferred). Familiarity with predictive analytics, forecasting, or anomaly detection use cases (preferred). Experience with dbt, Airflow, or modern data transformation and orchestration tools (preferred). Knowledge of data governance, data catalogs, and metric layer frameworks (preferred). Background with cloud platforms such as AWS, Azure, or GCP (preferred). Experience supporting analytics in a fast-growing or highly matrixed organization (preferred). Education Requirements: Bachelor's degree in Data Analytics, Computer Science, Information Systems, Business, or a related field. Master's degree preferred. Recruitment Transparency Notice Eliassen Group values transparency in our recruitment practices. Please be advised that Eliassen Group utilizes artificial intelligence (AI) tools as part of its initial application screening and hiring process. You may receive email and SMS notifications from the Eliassen Virtual Recruiting Team ( , ) inviting you to complete a brief voice screening as part of your application process. These tools assist our hiring teams in different ways, including but not limited to, assistance in reviewing application materials to help identify candidates whose qualifications most closely match the requirements of the position. All AI-assisted evaluations and responses are reviewed by human recruiters before any hiring decisions are made. The use of AI in our process is intended to support fairness, efficiency, and consistency, and Eliassen Group takes measures to prevent bias or discrimination in connection with its hiring practices. By proceeding, you acknowledge, agree, and consent to Eliassen Group's use of these tools, including AI tools, as part of the application and hiring process. Skills, experience, and other compensable factors will be considered when determining pay rate. The pay range provided in this posting reflects a W2 hourly rate; other employment options may be available that may result in pay outside of the provided range.W2 employees of Eliassen Group who are regularly scheduled to work 30 or more hours per week are eligible for the following benefits: medical (choice of 3 plans), dental, vision, pre-tax accounts, other voluntary benefits including life and disability insurance, 401(k) with match, and sick time if required by law in the worked-in state/locality.If anyone reaches out to you about an open position connected with Eliassen Group, please ensure that you are working directly with us by confirming the following: When you work with Eliassen Group, all email communication will come from an address, never Gmail, Yahoo, etc. Eliassen Group will never ask you for personal information (home address, bank account, or check routing number) until you have worked with someone clearly associated with Eliassen Group. If you have any indication of fraudulent activity, please contact . About Eliassen Group: Eliassen Group is a strategic consulting firm that helps organizations reach further and achieve more through our technology, business advisory, and life sciences solutions. For nearly 40 years, we have combined exceptional people, deep domain expertise, and intelligent capabilities to expand our clients' capacity and accelerate meaningful outcomes. We are driven by a purpose to positively impact the lives of our employees, clients, consultants, and the communities we serve. Eliassen is committed to building a diverse and inclusive team from a variety of backgrounds, perspectives, and skills. We are an Equal Opportunity and Affirmative Action Employer and all employment decisions are based on merit, performance, and business needs. Eliassen does not discriminate on the basis of race, color, gender identity or expression, sexual preference or orientation, sex (including pregnancy, childbirth, and related medical conditions), marital status, creed, religion, physical or mental disability, genetic information, military or veteran status, age, ancestry, national origin, citizenship status, prohibited criminal record inquiries of applicants and employees, or any other category protected by federal, state, or local laws. Don't miss out on our referral program! If we hire a candidate that you refer us to then you can be eligible for a $1,000 referral check!
11/14/2026
Full time
Job Description Job Description Description: Hybrid onsite in either Providence, RI Our client seeks a Senior Manager, Business Intelligence to lead the strategy and delivery of enterprise analytics using Snowflake, modern BI platforms, and AI-driven insights. The role manages a BI team, partners with cross-functional leaders, and ensures scalable, governed, and trusted data products. The leader will advance metric consistency, self-service adoption, and integration of predictive and diagnostic analytics to inform executive decision-making. This is a full-time, permanent opportunity, offering a competitive salary and comprehensive benefits package. Qualified applicants must be willing and able to work on a w2 basis. Salary: $147,500 - $180,125/ yr. w2 Responsibilities: Lead, mentor, and develop a team of BI analysts and developers. Define and execute the BI roadmap aligned with enterprise data and AI strategy. Serve as a trusted advisor to senior leaders by translating business needs into analytics solutions. Establish best practices for BI development, data governance, and analytics delivery. Oversee design and optimization of data models in Snowflake, including fact, dimension, and semantic layers. Partner with Data Engineering to ensure reliable pipelines, data quality, and performance optimization. Manage Snowflake cost, performance, and scalability, including warehouse sizing and query optimization. Promote reusable and scalable data assets across the enterprise. Deliver executive-level dashboards, KPIs, and self-service analytics using Power BI, Tableau, or Looker. Ensure consistent metric definitions and a single source of truth. Drive self-service adoption with strong governance and data integrity. Advance analytics maturity from descriptive to diagnostic and predictive insights. Integrate AI and machine learning insights into BI products such as forecasting, anomaly detection, and predictive KPIs. Partner with Data Science and Engineering to surface model outputs in dashboards and decision-support tools. Leverage Snowflake-native and modern AI platforms to accelerate insight delivery. Champion responsible AI practices, explainability, and ethical data use. Collaborate with Product, Finance, Marketing, Operations, and Engineering stakeholders. Translate complex analysis into clear, actionable recommendations. Prioritize BI initiatives based on business impact and goals. Experience Requirements: 10+ years in business intelligence, analytics, or data roles. 5+ years of people management or technical leadership experience. Strong hands-on experience with Snowflake as a cloud data warehouse. Advanced SQL skills and strong understanding of data modeling concepts. Proven experience delivering enterprise BI solutions using modern visualization tools such as Power BI, Tableau, or Looker. Experience or working knowledge of agentic AI applications. Proven ability to communicate insights to executive and non-technical audiences. Experience integrating AI/ML outputs into BI dashboards and workflows (preferred). Familiarity with predictive analytics, forecasting, or anomaly detection use cases (preferred). Experience with dbt, Airflow, or modern data transformation and orchestration tools (preferred). Knowledge of data governance, data catalogs, and metric layer frameworks (preferred). Background with cloud platforms such as AWS, Azure, or GCP (preferred). Experience supporting analytics in a fast-growing or highly matrixed organization (preferred). Education Requirements: Bachelor's degree in Data Analytics, Computer Science, Information Systems, Business, or a related field. Master's degree preferred. Recruitment Transparency Notice Eliassen Group values transparency in our recruitment practices. Please be advised that Eliassen Group utilizes artificial intelligence (AI) tools as part of its initial application screening and hiring process. You may receive email and SMS notifications from the Eliassen Virtual Recruiting Team ( , ) inviting you to complete a brief voice screening as part of your application process. These tools assist our hiring teams in different ways, including but not limited to, assistance in reviewing application materials to help identify candidates whose qualifications most closely match the requirements of the position. All AI-assisted evaluations and responses are reviewed by human recruiters before any hiring decisions are made. The use of AI in our process is intended to support fairness, efficiency, and consistency, and Eliassen Group takes measures to prevent bias or discrimination in connection with its hiring practices. By proceeding, you acknowledge, agree, and consent to Eliassen Group's use of these tools, including AI tools, as part of the application and hiring process. Skills, experience, and other compensable factors will be considered when determining pay rate. The pay range provided in this posting reflects a W2 hourly rate; other employment options may be available that may result in pay outside of the provided range.W2 employees of Eliassen Group who are regularly scheduled to work 30 or more hours per week are eligible for the following benefits: medical (choice of 3 plans), dental, vision, pre-tax accounts, other voluntary benefits including life and disability insurance, 401(k) with match, and sick time if required by law in the worked-in state/locality.If anyone reaches out to you about an open position connected with Eliassen Group, please ensure that you are working directly with us by confirming the following: When you work with Eliassen Group, all email communication will come from an address, never Gmail, Yahoo, etc. Eliassen Group will never ask you for personal information (home address, bank account, or check routing number) until you have worked with someone clearly associated with Eliassen Group. If you have any indication of fraudulent activity, please contact . About Eliassen Group: Eliassen Group is a strategic consulting firm that helps organizations reach further and achieve more through our technology, business advisory, and life sciences solutions. For nearly 40 years, we have combined exceptional people, deep domain expertise, and intelligent capabilities to expand our clients' capacity and accelerate meaningful outcomes. We are driven by a purpose to positively impact the lives of our employees, clients, consultants, and the communities we serve. Eliassen is committed to building a diverse and inclusive team from a variety of backgrounds, perspectives, and skills. We are an Equal Opportunity and Affirmative Action Employer and all employment decisions are based on merit, performance, and business needs. Eliassen does not discriminate on the basis of race, color, gender identity or expression, sexual preference or orientation, sex (including pregnancy, childbirth, and related medical conditions), marital status, creed, religion, physical or mental disability, genetic information, military or veteran status, age, ancestry, national origin, citizenship status, prohibited criminal record inquiries of applicants and employees, or any other category protected by federal, state, or local laws. Don't miss out on our referral program! If we hire a candidate that you refer us to then you can be eligible for a $1,000 referral check!
Job Description Job Description SRCTec, LLC is currently seeking a temporary Associate Electronics Hardware Technician to support manufacturing operations on 1st shift (7:00 AM - 3:30 PM) at our location in Syracuse, NY. The selected candidate will assemble, disassemble, and rework production electronic warfare and radar systems and sub-assemblies. What You'll Do Adhere to established assembly procedures and production processes to support daily manufacturing operations. Assemble, disassemble, and rework complex electronic and mechanical assemblies. Interpret and work from wiring diagrams and mechanical drawings. Utilize a variety of hand and power tools; properly employ and maintain calibrated torque tools. Perform limited soldering, wire preparation, and wire harness assembly. Identify and accurately document discrepancies and rework actions throughout the production process. Participate in inventory and pack-out operations to facilitate product shipment. Complete masking and demasking operations on intricate circuit card assemblies to facilitate the conformal coating process. Facilitate the manufacturing process as a key contributing member of the production team. What You'll Bring Education and experience: Associate's degree in related field with 0+ years related experience or high school diploma or equivalent and 5+ years related experience. Any combination of education and experience will be considered. Ability to interpret and work from mechanical drawings and wiring diagrams. Experience using basic hand tools, power tools, and calibrated torque tools. Basic computer comprehension skills, to include the Microsoft Office suite. Ability to lift up to 40 pounds, with or without reasonable accommodations. Ways to Stand Out Strong aptitude for critical thinking and problem solving. Desire to succeed in a fast-paced manufacturing environment. Effective communication skills, both written and verbally. Reliably accomplish multiple assignments while managing time wisely. Function independently and as a member of a team. Current IPC J-STD-001 Solder Certification. What Sets Us Apart? SRCTec, LLC is a manufacturing and life cycle management company specializing in the cost-effective production of high-quality, high-reliability, advanced military electro-mechanical products. SRCTec is a wholly owned subsidiary of SRC, Inc. SRC is a not-for-profit research and development company that combines information, science, technology and ingenuity to solve "impossible" problems in the areas of defense, environment and intelligence. Across our family of companies, we apply bright minds, fresh thinking and relentless determination to deliver innovative products and services that are redefining possible . When you join our team, you'll be a part of something truly meaningful - helping to keep America and its allies safe and strong. You'll collaborate with more than 1,400 engineers, scientists and professionals - with 20 percent of those employees having served in the military - in a highly innovative, inclusive and equitable work environment. Total compensation for this role is market competitive. The anticipated range for this position based out of Syracuse, NY is estimated at $23 to $27/hour. The hourly rate will vary based on applicant's experience, skills, and abilities, geographic location as well as other business and organizational needs. SRC offers competitive benefit options, for more details please visit our website. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. 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.
11/14/2026
Full time
Job Description Job Description SRCTec, LLC is currently seeking a temporary Associate Electronics Hardware Technician to support manufacturing operations on 1st shift (7:00 AM - 3:30 PM) at our location in Syracuse, NY. The selected candidate will assemble, disassemble, and rework production electronic warfare and radar systems and sub-assemblies. What You'll Do Adhere to established assembly procedures and production processes to support daily manufacturing operations. Assemble, disassemble, and rework complex electronic and mechanical assemblies. Interpret and work from wiring diagrams and mechanical drawings. Utilize a variety of hand and power tools; properly employ and maintain calibrated torque tools. Perform limited soldering, wire preparation, and wire harness assembly. Identify and accurately document discrepancies and rework actions throughout the production process. Participate in inventory and pack-out operations to facilitate product shipment. Complete masking and demasking operations on intricate circuit card assemblies to facilitate the conformal coating process. Facilitate the manufacturing process as a key contributing member of the production team. What You'll Bring Education and experience: Associate's degree in related field with 0+ years related experience or high school diploma or equivalent and 5+ years related experience. Any combination of education and experience will be considered. Ability to interpret and work from mechanical drawings and wiring diagrams. Experience using basic hand tools, power tools, and calibrated torque tools. Basic computer comprehension skills, to include the Microsoft Office suite. Ability to lift up to 40 pounds, with or without reasonable accommodations. Ways to Stand Out Strong aptitude for critical thinking and problem solving. Desire to succeed in a fast-paced manufacturing environment. Effective communication skills, both written and verbally. Reliably accomplish multiple assignments while managing time wisely. Function independently and as a member of a team. Current IPC J-STD-001 Solder Certification. What Sets Us Apart? SRCTec, LLC is a manufacturing and life cycle management company specializing in the cost-effective production of high-quality, high-reliability, advanced military electro-mechanical products. SRCTec is a wholly owned subsidiary of SRC, Inc. SRC is a not-for-profit research and development company that combines information, science, technology and ingenuity to solve "impossible" problems in the areas of defense, environment and intelligence. Across our family of companies, we apply bright minds, fresh thinking and relentless determination to deliver innovative products and services that are redefining possible . When you join our team, you'll be a part of something truly meaningful - helping to keep America and its allies safe and strong. You'll collaborate with more than 1,400 engineers, scientists and professionals - with 20 percent of those employees having served in the military - in a highly innovative, inclusive and equitable work environment. Total compensation for this role is market competitive. The anticipated range for this position based out of Syracuse, NY is estimated at $23 to $27/hour. The hourly rate will vary based on applicant's experience, skills, and abilities, geographic location as well as other business and organizational needs. SRC offers competitive benefit options, for more details please visit our website. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. 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 Focus Search LLC is recruiting for a Business Intelligence & Automation Engineer for a global logistics company located in Seattle. This role will drive data, analytics, automation, and AI initiatives within Procurement Operations. This hands-on role will develop dashboards and reporting, manage procurement data and integrations, build solutions using Power BI and the Microsoft Power Platform, and implement AI-driven workflows to improve efficiency and decision-making. Requirements: Bachelors degree in Computer Science, Data Analytics, or similar, Masters degree in Analytics related field ideal 2-4 years of experience in business intelligence, analytics, automation and configuration Strong skills in SQL, data modeling, APIs, and process automation. In-depth experience with the Microsoft Power Platform, namely Power BI Experience with procurement systems and emerging AI technologies is a plus This role is not eligible for relocation assistance or Visa sponsorship
11/14/2026
Full time
Job Description Focus Search LLC is recruiting for a Business Intelligence & Automation Engineer for a global logistics company located in Seattle. This role will drive data, analytics, automation, and AI initiatives within Procurement Operations. This hands-on role will develop dashboards and reporting, manage procurement data and integrations, build solutions using Power BI and the Microsoft Power Platform, and implement AI-driven workflows to improve efficiency and decision-making. Requirements: Bachelors degree in Computer Science, Data Analytics, or similar, Masters degree in Analytics related field ideal 2-4 years of experience in business intelligence, analytics, automation and configuration Strong skills in SQL, data modeling, APIs, and process automation. In-depth experience with the Microsoft Power Platform, namely Power BI Experience with procurement systems and emerging AI technologies is a plus This role is not eligible for relocation assistance or Visa sponsorship
Job Description We are hiring a Salesforce Developer with extensive Marketing Cloud experience to own the hands-on engineering of our customer engagement platform. You will writeproduction-grade code, configure and customize Marketing Cloud and its Salesforceintegrations, and review the work of others to keep quality high. This is an individual-contributor role with technical leadership: you set coding standards,make design calls and raise the bar for the team, while still building every week. Key Responsibilities Coding and development Write clean, tested, reusable code in AMPscript, SSJS, SQL, HTML/CSS and, whereneeded, Apex, Lightning Web Components and JavaScript. Build complex multi-channel journeys, automations, CloudPages, preference centersand dynamic content from business requirements. Develop REST and SOAP API integrations between Marketing Cloud, Salesforce CRMand external systems, with error handling, logging and retries. Build scalable data pipelines: imports, exports, SFTP transfers and query- basedtransformations on large data volumes. Configuration Configure Email Studio, Journey Builder, Automation Studio, Contact Builder, MobileStudio and Advertising Studio, including business units, roles and permissions. Set up Marketing Cloud Connect, sender authentication (SPF, DKIM, DMARC),sending domains, IPs, subscriber and consent settings. Design and maintain data extensions, relationships and sendable data models. Salesforce Developer - Marketing Cloud Customization Customize templates, content blocks and personalization logic for multi-brand, multi-region and multi-language programs. Extend standard functionality with custom scripts, activities and Salesforce core customizations that fit business processes. Tailor Marketing Cloud to CRM data (Sales and Service Cloud objects, Flow, triggers)so campaigns respond to customer behavior. Code review and technical leadership Review code, SQL, scripts, journeys and configuration changes for correctness,performance, security and maintainability. Define and enforce coding standards, naming conventions, documentation and release practices. Lead technical design discussions, estimate work, and mentor developers andmarketing operations staff. Troubleshoot production issues and own root-cause analysis and fixes. What Success Looks Like Campaigns and journeys launch on time, with accurate targeting and personalization. Data flows between Marketing Cloud, CRM and other systems are reliable, monitoredand well documented. Deliverability, engagement and platform performance improve measurably over time. Marketing teams are self-sufficient on routine work and rely on you for complex, high-value builds. Requirements Required Qualifications 5+ years of Salesforce or CRM development, including 3+ years of deep, hands-onMarketing Cloud experience. Expert coding skills in AMPscript, SSJS and SQL, with strong HTML and CSS forresponsive email. Working proficiency in Apex, Lightning Web Components and Flow on the coreSalesforce platform. Proven delivery of complex Journey Builder and Automation Studio solutions at scale. Strong experience integrating Marketing Cloud with Salesforce CRM (MarketingCloud Connect) and third-party systems via REST and SOAP APIs. Demonstrated experience conducting code reviews and setting technical standards. Solid grasp of data modeling, deliverability, consent and privacy regulations (GDPR,CAN-SPAM). Clear communication, and the ability to explain trade-offs to technical and non-technical stakeholders. Preferred Qualifications Marketing Cloud Developer certification (strongly preferred), plus PlatformDeveloper I or II, Marketing Cloud Consultant or Administrator. Experience with Data Cloud, Marketing Cloud Personalization, Marketing CloudIntelligence or Account Engagement (Pardot). Familiarity with MuleSoft or other middleware, Git and CI/CD for Salesforce andMarketing Cloud deployments. Experience leading or mentoring developers in an agile delivery team. Multi-business-unit or multi-brand Marketing Cloud implementations.
11/14/2026
Full time
Job Description We are hiring a Salesforce Developer with extensive Marketing Cloud experience to own the hands-on engineering of our customer engagement platform. You will writeproduction-grade code, configure and customize Marketing Cloud and its Salesforceintegrations, and review the work of others to keep quality high. This is an individual-contributor role with technical leadership: you set coding standards,make design calls and raise the bar for the team, while still building every week. Key Responsibilities Coding and development Write clean, tested, reusable code in AMPscript, SSJS, SQL, HTML/CSS and, whereneeded, Apex, Lightning Web Components and JavaScript. Build complex multi-channel journeys, automations, CloudPages, preference centersand dynamic content from business requirements. Develop REST and SOAP API integrations between Marketing Cloud, Salesforce CRMand external systems, with error handling, logging and retries. Build scalable data pipelines: imports, exports, SFTP transfers and query- basedtransformations on large data volumes. Configuration Configure Email Studio, Journey Builder, Automation Studio, Contact Builder, MobileStudio and Advertising Studio, including business units, roles and permissions. Set up Marketing Cloud Connect, sender authentication (SPF, DKIM, DMARC),sending domains, IPs, subscriber and consent settings. Design and maintain data extensions, relationships and sendable data models. Salesforce Developer - Marketing Cloud Customization Customize templates, content blocks and personalization logic for multi-brand, multi-region and multi-language programs. Extend standard functionality with custom scripts, activities and Salesforce core customizations that fit business processes. Tailor Marketing Cloud to CRM data (Sales and Service Cloud objects, Flow, triggers)so campaigns respond to customer behavior. Code review and technical leadership Review code, SQL, scripts, journeys and configuration changes for correctness,performance, security and maintainability. Define and enforce coding standards, naming conventions, documentation and release practices. Lead technical design discussions, estimate work, and mentor developers andmarketing operations staff. Troubleshoot production issues and own root-cause analysis and fixes. What Success Looks Like Campaigns and journeys launch on time, with accurate targeting and personalization. Data flows between Marketing Cloud, CRM and other systems are reliable, monitoredand well documented. Deliverability, engagement and platform performance improve measurably over time. Marketing teams are self-sufficient on routine work and rely on you for complex, high-value builds. Requirements Required Qualifications 5+ years of Salesforce or CRM development, including 3+ years of deep, hands-onMarketing Cloud experience. Expert coding skills in AMPscript, SSJS and SQL, with strong HTML and CSS forresponsive email. Working proficiency in Apex, Lightning Web Components and Flow on the coreSalesforce platform. Proven delivery of complex Journey Builder and Automation Studio solutions at scale. Strong experience integrating Marketing Cloud with Salesforce CRM (MarketingCloud Connect) and third-party systems via REST and SOAP APIs. Demonstrated experience conducting code reviews and setting technical standards. Solid grasp of data modeling, deliverability, consent and privacy regulations (GDPR,CAN-SPAM). Clear communication, and the ability to explain trade-offs to technical and non-technical stakeholders. Preferred Qualifications Marketing Cloud Developer certification (strongly preferred), plus PlatformDeveloper I or II, Marketing Cloud Consultant or Administrator. Experience with Data Cloud, Marketing Cloud Personalization, Marketing CloudIntelligence or Account Engagement (Pardot). Familiarity with MuleSoft or other middleware, Git and CI/CD for Salesforce andMarketing Cloud deployments. Experience leading or mentoring developers in an agile delivery team. Multi-business-unit or multi-brand Marketing Cloud implementations.
Job Description Job Overview:- We are seeking an experienced Product Analytics Consultant with hands-on expertise in Amplitude Analytics or similar product analytics platforms to support our end client in the healthcare domain. The ideal candidate will work closely with product managers, business stakeholders, and engineering teams to understand user behavior, define meaningful KPIs, develop analytics dashboards, and generate actionable insights that support data-driven product decisions. The candidate should have strong experience in product analytics, event-based tracking, funnel analysis, cohort analysis, retention measurement, and dashboard development. Key Responsibilities:- - Conduct discovery sessions with product managers, business stakeholders, and engineering teams to understand business objectives and product requirements. - Understand user journeys, product features, application workflows, and user interactions. - Translate business requirements into meaningful KPIs, metrics, reports, and analytical dashboards. - Build and maintain product analytics dashboards using Amplitude or comparable analytics platforms. - Analyze product adoption, feature engagement, user journeys, workflow conversions, drop-offs, and retention. - Define events, event properties, user attributes, and filters required for product analytics. - Review existing event tracking and identify missing, duplicate, or inconsistently implemented events. - Recommend best practices for automatic event capture, manual event tracking, and event metadata enrichment. - Develop reusable charts, reports, cohorts, and dashboard templates. - Validate analytics results against application data, business reports, and other trusted sources. - Investigate discrepancies in event volumes, user counts, conversion rates, and reporting results. - Document KPI definitions, calculation logic, data sources, assumptions, and analytical processes. - Ensure compliance with applicable data privacy, security, access-control, and data-classification requirements. - Present analytical findings and recommendations to technical and non-technical stakeholders. - Provide training, demonstrations, and knowledge transfer to product and engineering teams. Required Skills & Qualifications:- - 3+ years of experience in Product Analytics, Digital Analytics, Business Intelligence, or a related field. - 3+ years of hands-on experience with Amplitude Analytics or comparable product analytics platforms. - Experience with one or more of the following platforms: - Amplitude Analytics - Mixpanel - Pendo - Heap - Google Analytics (GA4) - Adobe Analytics - PostHog - FullStory - Contentsquare - Strong understanding of product analytics concepts, including: - Event-Based Tracking - Funnel Analysis - Cohort Analysis - Retention Analysis - User Segmentation - Conversion Measurement - Feature Adoption - User Engagement Analysis - Experience building dashboards, charts, reports, and analytical templates. - Ability to define KPIs and translate business requirements into analytical solutions. - Experience reviewing event taxonomies and application instrumentation requirements. - Experience validating analytics data and troubleshooting reporting discrepancies. - Strong communication and stakeholder management skills. - Ability to collaborate with product, engineering, QA, data, and business teams. Preferred Qualifications:- - Previous experience working with healthcare applications, healthcare technology, or healthcare-related products. - Experience supporting multiple products or application teams. - Familiarity with web, mobile, embedded, or cloud-based applications. - Understanding of application instrumentation, SDKs, automatic event capture, and event enrichment. - Knowledge of data governance, privacy-aware analytics, and access controls. - Experience working in enterprise or regulated environments. - Familiarity with SQL, APIs, spreadsheets, or other tools used for data validation. - Amplitude certification or equivalent product analytics training. Expected Deliverables:- - Product analytics dashboards and recurring reports. - KPI and metric definition documents. - Event and property requirements for identified use cases. - Event-to-KPI mapping documentation. - Reusable charts, cohorts, filters, and dashboard templates. - Tracking and instrumentation gap assessments. - Data quality validation reports. - Analytics implementation guidance and user documentation. Interested candidates with relevant Product Analytics experience and hands-on expertise in Amplitude or similar platforms are encouraged to apply.
11/14/2026
Full time
Job Description Job Overview:- We are seeking an experienced Product Analytics Consultant with hands-on expertise in Amplitude Analytics or similar product analytics platforms to support our end client in the healthcare domain. The ideal candidate will work closely with product managers, business stakeholders, and engineering teams to understand user behavior, define meaningful KPIs, develop analytics dashboards, and generate actionable insights that support data-driven product decisions. The candidate should have strong experience in product analytics, event-based tracking, funnel analysis, cohort analysis, retention measurement, and dashboard development. Key Responsibilities:- - Conduct discovery sessions with product managers, business stakeholders, and engineering teams to understand business objectives and product requirements. - Understand user journeys, product features, application workflows, and user interactions. - Translate business requirements into meaningful KPIs, metrics, reports, and analytical dashboards. - Build and maintain product analytics dashboards using Amplitude or comparable analytics platforms. - Analyze product adoption, feature engagement, user journeys, workflow conversions, drop-offs, and retention. - Define events, event properties, user attributes, and filters required for product analytics. - Review existing event tracking and identify missing, duplicate, or inconsistently implemented events. - Recommend best practices for automatic event capture, manual event tracking, and event metadata enrichment. - Develop reusable charts, reports, cohorts, and dashboard templates. - Validate analytics results against application data, business reports, and other trusted sources. - Investigate discrepancies in event volumes, user counts, conversion rates, and reporting results. - Document KPI definitions, calculation logic, data sources, assumptions, and analytical processes. - Ensure compliance with applicable data privacy, security, access-control, and data-classification requirements. - Present analytical findings and recommendations to technical and non-technical stakeholders. - Provide training, demonstrations, and knowledge transfer to product and engineering teams. Required Skills & Qualifications:- - 3+ years of experience in Product Analytics, Digital Analytics, Business Intelligence, or a related field. - 3+ years of hands-on experience with Amplitude Analytics or comparable product analytics platforms. - Experience with one or more of the following platforms: - Amplitude Analytics - Mixpanel - Pendo - Heap - Google Analytics (GA4) - Adobe Analytics - PostHog - FullStory - Contentsquare - Strong understanding of product analytics concepts, including: - Event-Based Tracking - Funnel Analysis - Cohort Analysis - Retention Analysis - User Segmentation - Conversion Measurement - Feature Adoption - User Engagement Analysis - Experience building dashboards, charts, reports, and analytical templates. - Ability to define KPIs and translate business requirements into analytical solutions. - Experience reviewing event taxonomies and application instrumentation requirements. - Experience validating analytics data and troubleshooting reporting discrepancies. - Strong communication and stakeholder management skills. - Ability to collaborate with product, engineering, QA, data, and business teams. Preferred Qualifications:- - Previous experience working with healthcare applications, healthcare technology, or healthcare-related products. - Experience supporting multiple products or application teams. - Familiarity with web, mobile, embedded, or cloud-based applications. - Understanding of application instrumentation, SDKs, automatic event capture, and event enrichment. - Knowledge of data governance, privacy-aware analytics, and access controls. - Experience working in enterprise or regulated environments. - Familiarity with SQL, APIs, spreadsheets, or other tools used for data validation. - Amplitude certification or equivalent product analytics training. Expected Deliverables:- - Product analytics dashboards and recurring reports. - KPI and metric definition documents. - Event and property requirements for identified use cases. - Event-to-KPI mapping documentation. - Reusable charts, cohorts, filters, and dashboard templates. - Tracking and instrumentation gap assessments. - Data quality validation reports. - Analytics implementation guidance and user documentation. Interested candidates with relevant Product Analytics experience and hands-on expertise in Amplitude or similar platforms are encouraged to apply.
Job Description About Company, Droisys is an innovation technology company focused on helping companies accelerate their digital initiatives from strategy and planning through execution. We leverage deep technical expertise, Agile methodologies, and data-driven intelligence to modernize systems of engagement and simplify human/tech interaction. Amazing things happen when we work in environments where everyone feels a true sense of belonging and when candidates have the requisite skills and opportunities to succeed. At Droisys, we invest in our talent and support career growth, and we are always on the lookout for amazing talent who can contribute to our growth by delivering top results for our clients. Join us to challenge yourself and accomplish work that matters. Here's the job details Resident Network Engineer with Juniper Mist Networking experience Grand Rapids, MI. - Onsite presence at the customer location may be required based on customer needs Rate Range $60 to $70 hr C2C All Inc or $60 hr W2 All Inc LOCATION REQUIREMENTS: Preferred location: Grand Rapids, Michigan Candidates based in or within reasonable commuting distance of Grand Rapids, Michigan are preferred. Onsite presence at the customer location may be required based on customer needs, project activities, and operational requirements. Flexibility to support maintenance windows and production activities outside standard business hours is required when needed. Job Description: SUMMARY: As a Network Operations Resident Engineer, you will provide proactive and reactive technical support services to ensure the stability, performance, and continuous improvement of a large-scale enterprise networking environment. You will serve as a trusted technical advisor, supporting day-to-day network operations, technology transformation initiatives, lifecycle management activities, and strategic projects while maintaining a strong focus on customer satisfaction and operational excellence. The Resident Engineer will work closely with customer stakeholders, client Networking teams, technical support organizations, and engineering resources to deliver operational excellence, minimize operational risk, and support critical business objectives. This role requires a highly motivated engineer with strong experience supporting enterprise campus networks, large-scale switching environments, wireless technologies, network migrations, and customer-facing operational engagements. RESPONSIBILITIES: Serve as a technical advisor to the customer, providing subject matter expertise across Mist WAN Assurance, Session Smart Router (SSR), SD-WAN, and Mist Wireless technologies. Design, deploy, configure, operate, and troubleshoot Mist-managed WAN Edge and SSR-based SD-WAN solutions. Provide technical expertise for WAN Edge configuration, routing, application policies, traffic steering, path selection, high availability, and site connectivity. Support Mist Wireless environments, including wireless configuration, operations, monitoring, troubleshooting, and optimization. Use Marvis Virtual Network Assistant, Service Level Expectations (SLEs), Mist insights, events, alerts, and telemetry to identify and troubleshoot network, end-user connectivity, and performance issues. Troubleshoot complex issues across WAN, SD-WAN, routing, wireless connectivity, authentication, roaming, RF, and application connectivity. Apply strong networking fundamentals to troubleshoot BGP, OSPF, TCP/IP, LAN/WAN connectivity, routing policies, VLANs, DHCP, and DNS. Analyze network behavior and performance to identify root causes and recommend technical and operational improvements. Support production changes, maintenance activities, software upgrades, incident resolution, and technical escalations. Collaborate with customer engineering and operations teams, HPE support organizations, and engineering teams to resolve complex technical issues. Develop and maintain technical documentation, implementation procedures, operational procedures, and troubleshooting guidance. Provide knowledge transfer, technical guidance, and mentoring to customer technical teams. Maintain strong ownership of technical issues and communicate status, risks, findings, and recommendations effectively to customer stakeholders. Operate as an integrated member of the customer's technical environment, collaborating effectively with both customer and HPE teams. Provide onsite support in Grand Rapids, Michigan when required based on customer needs and planned activities. Maintain flexibility to support planned production changes and maintenance activities outside normal business hours when required. TECHNICAL ENVIRONMENT: Mist WAN Assurance currently supports SSR WAN Edge deployments, including traffic steering, application policies, routing policies, high-availability designs, hub-and-spoke topologies, and SSR mesh topologies. EDUCATION AND EXPERIENCE REQUIRED Bachelor's or Master's degree in Computer Science, Computer Engineering, Electrical Engineering, Information Technology, or equivalent practical experience. Typically 6-10 years of experience in enterprise networking, network engineering, consulting, or related technical roles. Demonstrated hands-on experience supporting complex enterprise network environments. Previous experience in a customer-facing engineering, consulting, professional services, or Resident Engineer role is preferred. KNOWLEDGE AND SKILLS Advanced hands-on knowledge of Mist WAN Assurance and WAN Edge technologies. Strong practical experience with Session Smart Router (SSR), including deployment, configuration, traffic flows, routing, high availability, multiple WAN paths, monitoring, maintenance, and troubleshooting. Strong understanding of SD-WAN concepts and architectures, including WAN underlay and overlay, application policies, application-aware traffic steering, path selection, resiliency, high availability, and site-to-site connectivity. Strong hands-on experience with Mist Wireless, including WLAN configuration and operations, wireless client connectivity, authentication, roaming, RF troubleshooting, and performance optimization. Experience using Marvis Virtual Network Assistant and Mist AI-driven operational capabilities to investigate and resolve network and user-experience issues. Experience working with Mist Service Level Expectations (SLEs), insights, events, alerts, and telemetry. Strong knowledge of enterprise routing and networking technologies, including BGP, OSPF, TCP/IP, VLANs, routing policies, DHCP, and DNS. Ability to troubleshoot complex, multi-domain network issues and isolate problems across WAN, routing, wireless, client connectivity, and application paths. Knowledge of Mist Wired Assurance and Juniper EX switching is desirable. Excellent analytical and problem-solving skills, with the ability to independently lead complex technical investigations. Strong operational discipline in production environments, including change planning, validation, troubleshooting, escalation, and documentation. Excellent written and verbal communication skills, with the ability to explain complex technical concepts, issues, risks, and recommendations to technical and non-technical stakeholders. Demonstrated ability to operate independently in a customer-facing environment while collaborating effectively with customer teams, support organizations, and engineering resources. Ability to provide technical leadership, knowledge transfer, and mentoring to other engineers and customer technical teams. Relevant Juniper Networking or Mist certifications are desirable. Droisys is an equal opportunity employer. We do not discriminate based on race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law. Droisys believes in diversity, inclusion, and belonging, and we are committed to fostering a diverse work environment.
11/14/2026
Full time
Job Description About Company, Droisys is an innovation technology company focused on helping companies accelerate their digital initiatives from strategy and planning through execution. We leverage deep technical expertise, Agile methodologies, and data-driven intelligence to modernize systems of engagement and simplify human/tech interaction. Amazing things happen when we work in environments where everyone feels a true sense of belonging and when candidates have the requisite skills and opportunities to succeed. At Droisys, we invest in our talent and support career growth, and we are always on the lookout for amazing talent who can contribute to our growth by delivering top results for our clients. Join us to challenge yourself and accomplish work that matters. Here's the job details Resident Network Engineer with Juniper Mist Networking experience Grand Rapids, MI. - Onsite presence at the customer location may be required based on customer needs Rate Range $60 to $70 hr C2C All Inc or $60 hr W2 All Inc LOCATION REQUIREMENTS: Preferred location: Grand Rapids, Michigan Candidates based in or within reasonable commuting distance of Grand Rapids, Michigan are preferred. Onsite presence at the customer location may be required based on customer needs, project activities, and operational requirements. Flexibility to support maintenance windows and production activities outside standard business hours is required when needed. Job Description: SUMMARY: As a Network Operations Resident Engineer, you will provide proactive and reactive technical support services to ensure the stability, performance, and continuous improvement of a large-scale enterprise networking environment. You will serve as a trusted technical advisor, supporting day-to-day network operations, technology transformation initiatives, lifecycle management activities, and strategic projects while maintaining a strong focus on customer satisfaction and operational excellence. The Resident Engineer will work closely with customer stakeholders, client Networking teams, technical support organizations, and engineering resources to deliver operational excellence, minimize operational risk, and support critical business objectives. This role requires a highly motivated engineer with strong experience supporting enterprise campus networks, large-scale switching environments, wireless technologies, network migrations, and customer-facing operational engagements. RESPONSIBILITIES: Serve as a technical advisor to the customer, providing subject matter expertise across Mist WAN Assurance, Session Smart Router (SSR), SD-WAN, and Mist Wireless technologies. Design, deploy, configure, operate, and troubleshoot Mist-managed WAN Edge and SSR-based SD-WAN solutions. Provide technical expertise for WAN Edge configuration, routing, application policies, traffic steering, path selection, high availability, and site connectivity. Support Mist Wireless environments, including wireless configuration, operations, monitoring, troubleshooting, and optimization. Use Marvis Virtual Network Assistant, Service Level Expectations (SLEs), Mist insights, events, alerts, and telemetry to identify and troubleshoot network, end-user connectivity, and performance issues. Troubleshoot complex issues across WAN, SD-WAN, routing, wireless connectivity, authentication, roaming, RF, and application connectivity. Apply strong networking fundamentals to troubleshoot BGP, OSPF, TCP/IP, LAN/WAN connectivity, routing policies, VLANs, DHCP, and DNS. Analyze network behavior and performance to identify root causes and recommend technical and operational improvements. Support production changes, maintenance activities, software upgrades, incident resolution, and technical escalations. Collaborate with customer engineering and operations teams, HPE support organizations, and engineering teams to resolve complex technical issues. Develop and maintain technical documentation, implementation procedures, operational procedures, and troubleshooting guidance. Provide knowledge transfer, technical guidance, and mentoring to customer technical teams. Maintain strong ownership of technical issues and communicate status, risks, findings, and recommendations effectively to customer stakeholders. Operate as an integrated member of the customer's technical environment, collaborating effectively with both customer and HPE teams. Provide onsite support in Grand Rapids, Michigan when required based on customer needs and planned activities. Maintain flexibility to support planned production changes and maintenance activities outside normal business hours when required. TECHNICAL ENVIRONMENT: Mist WAN Assurance currently supports SSR WAN Edge deployments, including traffic steering, application policies, routing policies, high-availability designs, hub-and-spoke topologies, and SSR mesh topologies. EDUCATION AND EXPERIENCE REQUIRED Bachelor's or Master's degree in Computer Science, Computer Engineering, Electrical Engineering, Information Technology, or equivalent practical experience. Typically 6-10 years of experience in enterprise networking, network engineering, consulting, or related technical roles. Demonstrated hands-on experience supporting complex enterprise network environments. Previous experience in a customer-facing engineering, consulting, professional services, or Resident Engineer role is preferred. KNOWLEDGE AND SKILLS Advanced hands-on knowledge of Mist WAN Assurance and WAN Edge technologies. Strong practical experience with Session Smart Router (SSR), including deployment, configuration, traffic flows, routing, high availability, multiple WAN paths, monitoring, maintenance, and troubleshooting. Strong understanding of SD-WAN concepts and architectures, including WAN underlay and overlay, application policies, application-aware traffic steering, path selection, resiliency, high availability, and site-to-site connectivity. Strong hands-on experience with Mist Wireless, including WLAN configuration and operations, wireless client connectivity, authentication, roaming, RF troubleshooting, and performance optimization. Experience using Marvis Virtual Network Assistant and Mist AI-driven operational capabilities to investigate and resolve network and user-experience issues. Experience working with Mist Service Level Expectations (SLEs), insights, events, alerts, and telemetry. Strong knowledge of enterprise routing and networking technologies, including BGP, OSPF, TCP/IP, VLANs, routing policies, DHCP, and DNS. Ability to troubleshoot complex, multi-domain network issues and isolate problems across WAN, routing, wireless, client connectivity, and application paths. Knowledge of Mist Wired Assurance and Juniper EX switching is desirable. Excellent analytical and problem-solving skills, with the ability to independently lead complex technical investigations. Strong operational discipline in production environments, including change planning, validation, troubleshooting, escalation, and documentation. Excellent written and verbal communication skills, with the ability to explain complex technical concepts, issues, risks, and recommendations to technical and non-technical stakeholders. Demonstrated ability to operate independently in a customer-facing environment while collaborating effectively with customer teams, support organizations, and engineering resources. Ability to provide technical leadership, knowledge transfer, and mentoring to other engineers and customer technical teams. Relevant Juniper Networking or Mist certifications are desirable. Droisys is an equal opportunity employer. We do not discriminate based on race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law. Droisys believes in diversity, inclusion, and belonging, and we are committed to fostering a diverse work environment.
ConsultNet Technology Services and Solutions
Washington, Washington DC
Job Description Title: Technical Program Manager - Business Intelligence Location: McLean, VA - Hybrid (3 days onsite per week) Target Start Date: Not specified Type: Contract - 6 months, potential extension Join an established Business Intelligence organization where you'll have the opportunity to help shape how technical teams collaborate, execute initiatives, and improve operational processes. This position is ideal for a BI or analytics professional looking to expand into technical program management while remaining closely connected to data technologies. You'll collaborate with BI and analytics engineering leadership, contribute to a structured operational roadmap, and help improve the efficiency of a large, cross-functional technical organization. Job Description We are seeking a Technical Program Manager with hands-on Business Intelligence experience to coordinate operational initiatives, improve technical processes, and support execution of a BI Operations Roadmap. This individual will partner with BI developers, analytics engineering leadership, and cross-functional stakeholders to manage timelines, track dependencies, coordinate platform changes, and maintain clear technical documentation. Responsibilities include identifying operational roadblocks, communicating technical updates, improving governance and documentation standards, and ensuring initiatives are executed consistently across teams. The ideal candidate has prior BI development experience, particularly with MicroStrategy, combined with strong organizational skills, experience coordinating technical projects, and the ability to translate complex technical needs into actionable plans. Required Skills MicroStrategy: Minimum 1 year of hands-on development experience creating dashboards, datasets, reports, or other BI artifacts. Experience does not need to be recent. SQL and/or Python: Minimum 1 year of experience with at least one of these technologies or a comparable technical skill set. Database Platforms: Minimum 1 year of experience with Amazon Redshift, SQL Server, MySQL, or comparable data technologies. Experience with BI reporting or visualization tools such as MicroStrategy, Power BI, or Tableau. Strong understanding of data structures, BI development processes, and foundational data architecture. Experience coordinating technical projects, tracking timelines, managing dependencies, and ensuring deliverables are completed. Demonstrated experience working with multiple technical teams and cross-functional stakeholders. Ability to translate technical requirements and platform changes into actionable project plans and communications. Experience creating structured technical documentation, maintaining processes, and tracking operational changes. Strong written and verbal communication, organizational skills, and attention to detail. Bonus/Soft Skills Experience with Jira, Confluence, SharePoint, or comparable ticketing and documentation platforms. Experience supporting BI operations, analytics engineering, or data platform teams. Familiarity with change management, process improvement, and technical governance. Experience coordinating platform maintenance, upgrades, or operational changes. Experience developing documentation standards, reporting conventions, or repeatable operational workflows. Exposure to Generative AI for documentation or process improvements. Ability to identify roadblocks and proactively coordinate solutions. Comfortable facilitating technical meetings, training sessions, and office hours. Interest in developing into technical program management leadership. Strong analytical, problem-solving, and stakeholder management skills. Welcome to ConsultNet, a premier national provider of technology talent and solutions. Our expertise spans across project services, contract-to-hire, direct search, and managed services onshore, nearshore, and hybrid. For over 25 years, we have connected thousands of consultants with meaningful roles through a personal, communication-driven approach, partnering with a diverse client base to build high-performing teams and create lasting impact. Our comprehensive service offerings cover a wide range of technology and engineering positions across key markets nationwide. Learn more at . We champion equality and inclusivity, proudly supporting an Equal Opportunity Employer policy. We welcome applicants regardless of Race, Color, Religion, Sex, Sexual Orientation, Gender Identity, National Origin, Age, Genetic Information, Disability, Protected Veteran Status, or any other status protected by law.
11/14/2026
Full time
Job Description Title: Technical Program Manager - Business Intelligence Location: McLean, VA - Hybrid (3 days onsite per week) Target Start Date: Not specified Type: Contract - 6 months, potential extension Join an established Business Intelligence organization where you'll have the opportunity to help shape how technical teams collaborate, execute initiatives, and improve operational processes. This position is ideal for a BI or analytics professional looking to expand into technical program management while remaining closely connected to data technologies. You'll collaborate with BI and analytics engineering leadership, contribute to a structured operational roadmap, and help improve the efficiency of a large, cross-functional technical organization. Job Description We are seeking a Technical Program Manager with hands-on Business Intelligence experience to coordinate operational initiatives, improve technical processes, and support execution of a BI Operations Roadmap. This individual will partner with BI developers, analytics engineering leadership, and cross-functional stakeholders to manage timelines, track dependencies, coordinate platform changes, and maintain clear technical documentation. Responsibilities include identifying operational roadblocks, communicating technical updates, improving governance and documentation standards, and ensuring initiatives are executed consistently across teams. The ideal candidate has prior BI development experience, particularly with MicroStrategy, combined with strong organizational skills, experience coordinating technical projects, and the ability to translate complex technical needs into actionable plans. Required Skills MicroStrategy: Minimum 1 year of hands-on development experience creating dashboards, datasets, reports, or other BI artifacts. Experience does not need to be recent. SQL and/or Python: Minimum 1 year of experience with at least one of these technologies or a comparable technical skill set. Database Platforms: Minimum 1 year of experience with Amazon Redshift, SQL Server, MySQL, or comparable data technologies. Experience with BI reporting or visualization tools such as MicroStrategy, Power BI, or Tableau. Strong understanding of data structures, BI development processes, and foundational data architecture. Experience coordinating technical projects, tracking timelines, managing dependencies, and ensuring deliverables are completed. Demonstrated experience working with multiple technical teams and cross-functional stakeholders. Ability to translate technical requirements and platform changes into actionable project plans and communications. Experience creating structured technical documentation, maintaining processes, and tracking operational changes. Strong written and verbal communication, organizational skills, and attention to detail. Bonus/Soft Skills Experience with Jira, Confluence, SharePoint, or comparable ticketing and documentation platforms. Experience supporting BI operations, analytics engineering, or data platform teams. Familiarity with change management, process improvement, and technical governance. Experience coordinating platform maintenance, upgrades, or operational changes. Experience developing documentation standards, reporting conventions, or repeatable operational workflows. Exposure to Generative AI for documentation or process improvements. Ability to identify roadblocks and proactively coordinate solutions. Comfortable facilitating technical meetings, training sessions, and office hours. Interest in developing into technical program management leadership. Strong analytical, problem-solving, and stakeholder management skills. Welcome to ConsultNet, a premier national provider of technology talent and solutions. Our expertise spans across project services, contract-to-hire, direct search, and managed services onshore, nearshore, and hybrid. For over 25 years, we have connected thousands of consultants with meaningful roles through a personal, communication-driven approach, partnering with a diverse client base to build high-performing teams and create lasting impact. Our comprehensive service offerings cover a wide range of technology and engineering positions across key markets nationwide. Learn more at . We champion equality and inclusivity, proudly supporting an Equal Opportunity Employer policy. We welcome applicants regardless of Race, Color, Religion, Sex, Sexual Orientation, Gender Identity, National Origin, Age, Genetic Information, Disability, Protected Veteran Status, or any other status protected by law.
Job Description Job Summary Neutrino Advisory is looking for a Senior Analytics Engineer to help build modern, scalable, and trusted data foundations that enable organizations to make better business decisions. In this role, you will design, build, and maintain transformation and semantic layers that convert raw data from enterprise platforms into governed, well-tested, documented, and business-ready datasets and metrics. You will play a key role in enabling both centralized and self-service analytics, ensuring that analysts, business stakeholders, and AI-enabled tools can access and generate trustworthy insights from enterprise data. The ideal candidate brings strong software engineering discipline to analytics development, including version control, automated testing, code reviews, and continuous integration and deployment. You will work closely with business stakeholders, data engineers, BI developers, and technology teams to establish best practices and deliver high-quality data products. This is a hands-on senior-level role with opportunities to influence architecture, establish engineering standards, mentor team members, and contribute to Neutrino's growing Data & Analytics practice. Key Responsibilities • Design, develop, and maintain dbt models on Microsoft Fabric, transforming raw source data into clean, well-documented staging, intermediate, and mart layers using consistent modeling standards and naming conventions. • Design and co-own Power BI semantic models, including certified datasets, shared measures, and row-level security, ensuring consistent metric definitions across reports, dashboards, and self-service analytics. • Establish and implement data quality standards through dbt tests, source freshness checks, data contracts, monitoring, and alerting mechanisms. • Implement software engineering best practices for analytics development, including Git-based workflows, pull request reviews, automated CI/CD for dbt and Fabric deployments, and environment management across development, testing, and production. • Collaborate with business stakeholders, finance, operations, and technology teams to translate business requirements into reliable data models, metrics, and analytical solutions. • Establish clear documentation for data models, metrics, business definitions, and data lineage to enable analysts, business users, and AI-powered tools to discover and confidently use enterprise data. • Develop and maintain a catalog of certified datasets, business metrics, and data ownership. • Optimize data transformation pipelines and semantic models for performance, scalability, and cost through incremental loading, partitioning, and efficient query design. • Apply appropriate data access controls, privacy protections, security standards, and auditability requirements in collaboration with information security and compliance teams. • Review technical deliverables, mentor junior analysts and engineers, and promote best practices in analytics engineering and data modeling. • Contribute to the development of reusable templates, technical standards, frameworks, and onboarding documentation. • Evaluate emerging tools, technologies, and architectural approaches to continuously improve the data and analytics ecosystem. • Troubleshoot complex data and pipeline issues, conduct root cause analysis, and communicate resolutions and business impact effectively to technical and non-technical stakeholders. Required Knowledge, Skills & Qualifications • Bachelor's degree in Computer Science, Engineering, Data Science, Statistics, Information Systems, or a related field, or equivalent practical experience. • 6+ years of experience in Analytics Engineering, Data Engineering, or Business Intelligence development, with demonstrated experience delivering production-grade data models. • Advanced SQL skills, including query optimization, dimensional modeling, fact and dimension tables, and slowly changing dimensions (SCD). • Hands-on experience with dbt in production environments, including modular model development, testing, documentation, macros, incremental models, and deployment practices. • Experience with Microsoft Fabric, including Lakehouse, Warehouse, OneLake, Data Factory, and data pipelines, or comparable cloud data platforms such as Snowflake, Databricks, or BigQuery. • Strong Power BI experience, including semantic model design, DAX, row-level security, and governance of shared datasets. • Familiarity with AI-enabled analytics tools and the data architecture, governed metrics, metadata, and documentation required to support reliable AI-driven insights. • Working knowledge of Git, pull request workflows, and CI/CD pipelines using tools such as Azure DevOps or GitHub Actions. • Proficiency in Python for scripting, automation, and data validation. • Experience implementing data quality, testing, monitoring, and observability practices. • Ability to translate complex or ambiguous business requirements into clear technical designs and communicate architectural decisions and trade-offs effectively. • Strong written and verbal communication skills, with the ability to collaborate across technical and business teams. • Understanding of data privacy, security, governance, and compliance principles. Preferred Qualifications • Experience in financial services, wealth management, banking, healthcare, or other regulated industries. • Familiarity with CRM, portfolio accounting, financial reporting, or custodial data. • Experience building enterprise-scale analytics platforms using Microsoft Azure and Microsoft Fabric. • Exposure to modern data architecture patterns, including medallion architecture, data lakes, lakehouses, and enterprise data warehouses. • Experience working with AI-powered analytics, natural language querying, and enterprise data governance for AI adoption. What We Offer • Opportunity to work on modern data engineering and analytics transformation initiatives. • Exposure to enterprise-scale implementations across Microsoft Fabric, Power BI, Azure, and modern data platforms. • Opportunity to work with emerging AI technologies and help shape the future of enterprise analytics. • A collaborative, technology-driven environment with opportunities for continuous learning and professional growth. • The opportunity to take ownership, influence technical direction, and contribute to building Neutrino's Data & Analytics practice. About Neutrino Advisory Neutrino Advisory is a Digital Strategy, Advisory & Marketing Technology firm helping organizations navigate digital transformation through data, cloud, CRM, enterprise platforms, and applied AI. We combine business strategy with technology expertise to build scalable solutions that deliver measurable business outcomes. We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, sex, gender, gender expression, sexual orientation, age, marital status, veteran status, or disability status. We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform crucial job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.
11/14/2026
Full time
Job Description Job Summary Neutrino Advisory is looking for a Senior Analytics Engineer to help build modern, scalable, and trusted data foundations that enable organizations to make better business decisions. In this role, you will design, build, and maintain transformation and semantic layers that convert raw data from enterprise platforms into governed, well-tested, documented, and business-ready datasets and metrics. You will play a key role in enabling both centralized and self-service analytics, ensuring that analysts, business stakeholders, and AI-enabled tools can access and generate trustworthy insights from enterprise data. The ideal candidate brings strong software engineering discipline to analytics development, including version control, automated testing, code reviews, and continuous integration and deployment. You will work closely with business stakeholders, data engineers, BI developers, and technology teams to establish best practices and deliver high-quality data products. This is a hands-on senior-level role with opportunities to influence architecture, establish engineering standards, mentor team members, and contribute to Neutrino's growing Data & Analytics practice. Key Responsibilities • Design, develop, and maintain dbt models on Microsoft Fabric, transforming raw source data into clean, well-documented staging, intermediate, and mart layers using consistent modeling standards and naming conventions. • Design and co-own Power BI semantic models, including certified datasets, shared measures, and row-level security, ensuring consistent metric definitions across reports, dashboards, and self-service analytics. • Establish and implement data quality standards through dbt tests, source freshness checks, data contracts, monitoring, and alerting mechanisms. • Implement software engineering best practices for analytics development, including Git-based workflows, pull request reviews, automated CI/CD for dbt and Fabric deployments, and environment management across development, testing, and production. • Collaborate with business stakeholders, finance, operations, and technology teams to translate business requirements into reliable data models, metrics, and analytical solutions. • Establish clear documentation for data models, metrics, business definitions, and data lineage to enable analysts, business users, and AI-powered tools to discover and confidently use enterprise data. • Develop and maintain a catalog of certified datasets, business metrics, and data ownership. • Optimize data transformation pipelines and semantic models for performance, scalability, and cost through incremental loading, partitioning, and efficient query design. • Apply appropriate data access controls, privacy protections, security standards, and auditability requirements in collaboration with information security and compliance teams. • Review technical deliverables, mentor junior analysts and engineers, and promote best practices in analytics engineering and data modeling. • Contribute to the development of reusable templates, technical standards, frameworks, and onboarding documentation. • Evaluate emerging tools, technologies, and architectural approaches to continuously improve the data and analytics ecosystem. • Troubleshoot complex data and pipeline issues, conduct root cause analysis, and communicate resolutions and business impact effectively to technical and non-technical stakeholders. Required Knowledge, Skills & Qualifications • Bachelor's degree in Computer Science, Engineering, Data Science, Statistics, Information Systems, or a related field, or equivalent practical experience. • 6+ years of experience in Analytics Engineering, Data Engineering, or Business Intelligence development, with demonstrated experience delivering production-grade data models. • Advanced SQL skills, including query optimization, dimensional modeling, fact and dimension tables, and slowly changing dimensions (SCD). • Hands-on experience with dbt in production environments, including modular model development, testing, documentation, macros, incremental models, and deployment practices. • Experience with Microsoft Fabric, including Lakehouse, Warehouse, OneLake, Data Factory, and data pipelines, or comparable cloud data platforms such as Snowflake, Databricks, or BigQuery. • Strong Power BI experience, including semantic model design, DAX, row-level security, and governance of shared datasets. • Familiarity with AI-enabled analytics tools and the data architecture, governed metrics, metadata, and documentation required to support reliable AI-driven insights. • Working knowledge of Git, pull request workflows, and CI/CD pipelines using tools such as Azure DevOps or GitHub Actions. • Proficiency in Python for scripting, automation, and data validation. • Experience implementing data quality, testing, monitoring, and observability practices. • Ability to translate complex or ambiguous business requirements into clear technical designs and communicate architectural decisions and trade-offs effectively. • Strong written and verbal communication skills, with the ability to collaborate across technical and business teams. • Understanding of data privacy, security, governance, and compliance principles. Preferred Qualifications • Experience in financial services, wealth management, banking, healthcare, or other regulated industries. • Familiarity with CRM, portfolio accounting, financial reporting, or custodial data. • Experience building enterprise-scale analytics platforms using Microsoft Azure and Microsoft Fabric. • Exposure to modern data architecture patterns, including medallion architecture, data lakes, lakehouses, and enterprise data warehouses. • Experience working with AI-powered analytics, natural language querying, and enterprise data governance for AI adoption. What We Offer • Opportunity to work on modern data engineering and analytics transformation initiatives. • Exposure to enterprise-scale implementations across Microsoft Fabric, Power BI, Azure, and modern data platforms. • Opportunity to work with emerging AI technologies and help shape the future of enterprise analytics. • A collaborative, technology-driven environment with opportunities for continuous learning and professional growth. • The opportunity to take ownership, influence technical direction, and contribute to building Neutrino's Data & Analytics practice. About Neutrino Advisory Neutrino Advisory is a Digital Strategy, Advisory & Marketing Technology firm helping organizations navigate digital transformation through data, cloud, CRM, enterprise platforms, and applied AI. We combine business strategy with technology expertise to build scalable solutions that deliver measurable business outcomes. We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, sex, gender, gender expression, sexual orientation, age, marital status, veteran status, or disability status. We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform crucial job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.
Job Description Job Description - Document Intelligence AI Product Manager Location: Phoenix AZ Onsite Must Have8 Years of Experience. Rate $60/hr on w2 Job Summary We are looking for a Document Intelligence AI Product Manager / Strategist with strong experience in Document AI, Intelligent Document Processing (IDP), and AI-driven product strategy. The candidate will research emerging market capabilities, evaluate competing technologies, conduct lightweight POCs, and provide strategic recommendations to product and engineering teams. Key Responsibilities Research market trends, emerging AI technologies, vendors, and industry capabilities in Document Intelligence. Evaluate capabilities across document understanding, classification, extraction, complex documents, and package documents. Assess competing solutions and platforms such as Google, Microsoft, and other Document AI vendors. Develop product strategies and recommendations based on market research and technology evaluations. Conduct lightweight POCs using available tools, open-source technologies, vendor trials, and basic Python scripting in notebooks. Test and compare technology capabilities, analyze results, and identify potential product improvements. Define success metrics, document findings, and present evidence-based recommendations. Evaluate capabilities related to Digital Auditor, language translation, and other Document Intelligence products. Collaborate with product, engineering, and senior leadership teams to translate findings into actionable product direction. Continuously monitor AI advancements and recommend opportunities for product innovation. Required Skills Strong experience in Document AI, Document Intelligence, or Intelligent Document Processing (IDP). Knowledge of document classification, extraction, understanding, and complex document processing. Experience with AI product strategy, market research, competitive analysis, and technology evaluation. Hands-on ability to conduct lightweight POCs and test AI tools/platforms. Basic Python programming and experience working with Jupyter notebooks. Ability to compare AI solutions and translate technical findings into business recommendations. Strong analytical, problem-solving, presentation, and documentation skills. Excellent communication skills with the ability to engage product teams, engineering, and senior leadership. Ideal Candidate A combination of Document AI domain expertise, product strategy, market research, and hands-on technical evaluation . This is not a full-time engineering role; the focus is on evaluating emerging technologies, conducting lightweight POCs, and recommending the right product direction. "We are an equal opportunity employer. It is our policy to provide employment, compensation, and other benefits related to employment without regard to race, color, religion, sex, gender, national or ethnic origin, disability, veteran status, age, genetic information, citizenship, or any other basis prohibited by applicable federal, state, or local law.
11/14/2026
Full time
Job Description Job Description - Document Intelligence AI Product Manager Location: Phoenix AZ Onsite Must Have8 Years of Experience. Rate $60/hr on w2 Job Summary We are looking for a Document Intelligence AI Product Manager / Strategist with strong experience in Document AI, Intelligent Document Processing (IDP), and AI-driven product strategy. The candidate will research emerging market capabilities, evaluate competing technologies, conduct lightweight POCs, and provide strategic recommendations to product and engineering teams. Key Responsibilities Research market trends, emerging AI technologies, vendors, and industry capabilities in Document Intelligence. Evaluate capabilities across document understanding, classification, extraction, complex documents, and package documents. Assess competing solutions and platforms such as Google, Microsoft, and other Document AI vendors. Develop product strategies and recommendations based on market research and technology evaluations. Conduct lightweight POCs using available tools, open-source technologies, vendor trials, and basic Python scripting in notebooks. Test and compare technology capabilities, analyze results, and identify potential product improvements. Define success metrics, document findings, and present evidence-based recommendations. Evaluate capabilities related to Digital Auditor, language translation, and other Document Intelligence products. Collaborate with product, engineering, and senior leadership teams to translate findings into actionable product direction. Continuously monitor AI advancements and recommend opportunities for product innovation. Required Skills Strong experience in Document AI, Document Intelligence, or Intelligent Document Processing (IDP). Knowledge of document classification, extraction, understanding, and complex document processing. Experience with AI product strategy, market research, competitive analysis, and technology evaluation. Hands-on ability to conduct lightweight POCs and test AI tools/platforms. Basic Python programming and experience working with Jupyter notebooks. Ability to compare AI solutions and translate technical findings into business recommendations. Strong analytical, problem-solving, presentation, and documentation skills. Excellent communication skills with the ability to engage product teams, engineering, and senior leadership. Ideal Candidate A combination of Document AI domain expertise, product strategy, market research, and hands-on technical evaluation . This is not a full-time engineering role; the focus is on evaluating emerging technologies, conducting lightweight POCs, and recommending the right product direction. "We are an equal opportunity employer. It is our policy to provide employment, compensation, and other benefits related to employment without regard to race, color, religion, sex, gender, national or ethnic origin, disability, veteran status, age, genetic information, citizenship, or any other basis prohibited by applicable federal, state, or local law.
Job Description Job Description At Boeing, we innovate and collaborate to make the world a better place. We're committed to fostering an environment for every teammate that's welcoming, respectful and inclusive, with great opportunity for professional growth. Find your future with us. Tapestry Solutions, A Boeing Company, brings over 30 years of industry experience designing, implementing, training, and supporting high-quality, cost-effective information technology and business intelligence solutions. With a dedicated team of approximately 500 professionals, we proudly serve 75 defense, commercial, and government clients across more than 50 U.S. locations and 9 countries worldwide. As a trusted partner, our employees embody our core values by consistently delivering excellence, taking full ownership, and developing innovative solutions that enable critical missions and ensure the safety of our global customers and team members. Joining Tapestry Solutions means enjoying the best of both worlds: access to the vast resources of Boeing combined with the agility and people-focused, family-oriented culture of a small business where your contributions truly matter. Tapestry Solutions, a part of Boeing Global Services (BGS), is seeking a Software Engineering Manager in Hazelwood, MO to join our Mission Planning team. The position is pivotal to the success of the Tomahawk Cruise Missile program as the team continues to grow. This position will oversee the program's P&L as well as 15+ software engineers tasked with maintaining and transforming the Tomahawk Planning System. This position is ideal for someone motivated by a role that will help the U.S. and its allies advance their mission planning capabilities. Position Responsibilities: Create and communicate a compelling vision for the team, inspiring others to achieve shared goals Apply strategic thinking skills, enabling the development and execution of long-term plans that align with organizational objectives Foster a culture of continuous learning and professional development, empowering team members to reach their full potential Execute sound judgment and decision-making capabilities, balancing data-driven insights with intuition to guide the team effectively Build strong relationships across departments, leveraging influence to drive collaboration and achieve common objectives Lead teams through change with resilience and adaptability, ensuring smooth transitions and maintaining high levels of engagement Set clear performance expectations and provides constructive feedback, driving accountability and high performance within the team Deliver results, utilizing metrics and KPIs to measure success and drive continuous improvement Responsible for program's cost, schedule and performance as well as oversee the CDRL preparation and submission Meets or exceeds goals for productivity, quality and customer satisfaction Coaches, counsels, mentors and provides developmental opportunities and job assignments to enhance employee satisfaction and performance while expanding capabilities Basic Qualifications (Required Skills/Experience): Active US Secret Clearance with the ability to obtain a Top-Secret Clearance Candidates must have at least one year of experience in a leadership role (team leader, temp manager, large scale cross functional project/program management, or formal manager experience) OR have completed relevant internal Boeing or external coursework to demonstrate the knowledge 5+ years of experience with Agile software development methodologies 3+ years of experience formally managing software engineers Excellent oral and written communication skills Preferred Qualifications (Desired Skills/Experience): Bachelor's Degree 1+ years of domain experience with software engineering for government applications 1+ years of experience as a Program Manager 3+ years of experience developing and presenting recommendations to leadership Drug Free Workplace: We are a Drug Free Workplace where post offer applicants and employees are subject to testing for marijuana, cocaine, opioids, amphetamines, PCP, and alcohol when criteria is met as outlined in our policies. Pay & Benefits: We strive to deliver a total rewards package that will attract, engage and retain the top talent. Elements of this package include competitive base pay and variable compensation opportunities. We also provide eligible employees with an opportunity to enroll in a variety of benefit programs, generally including health insurance, flexible spending accounts, health savings accounts, retirement savings plans, life and disability insurance programs, and a number of programs that provide for both paid and unpaid time away from work. The specific programs and options available to any given employee may vary depending on eligibility factors such as geographic location and date of hire. Pay is based upon candidate experience and qualifications, as well as market and business considerations. Summary base pay range $140,000 - $155,000 Applications for this position will be accepted until Dec. 19, 2026 Export Control Requirements: This position must meet U.S. export control compliance requirements. To meet U.S. export control compliance requirements, a "U.S. Person" as defined by 22 C.F.R. 120.62 is required. "U.S. Person" includes U.S. Citizen, U.S. National, lawful permanent resident, refugee, or asylee. Export Control Details: US based job, US Person required Relocation Relocation assistance is not a negotiable benefit for this position. Security Clearance This position requires an active U.S. Secret Security Clearance (U.S. Citizenship Required). (A U.S. Security Clearance that has been active in the past 24 months is considered active) Visa Sponsorship Employer will not sponsor applicants for employment visa status. Shift This position is for 1st shift Equal Opportunity Employer: Boeing is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, national origin, gender, sexual orientation, gender identity, age, physical or mental disability, genetic factors, military/veteran status or other characteristics protected by law.
11/14/2026
Full time
Job Description Job Description At Boeing, we innovate and collaborate to make the world a better place. We're committed to fostering an environment for every teammate that's welcoming, respectful and inclusive, with great opportunity for professional growth. Find your future with us. Tapestry Solutions, A Boeing Company, brings over 30 years of industry experience designing, implementing, training, and supporting high-quality, cost-effective information technology and business intelligence solutions. With a dedicated team of approximately 500 professionals, we proudly serve 75 defense, commercial, and government clients across more than 50 U.S. locations and 9 countries worldwide. As a trusted partner, our employees embody our core values by consistently delivering excellence, taking full ownership, and developing innovative solutions that enable critical missions and ensure the safety of our global customers and team members. Joining Tapestry Solutions means enjoying the best of both worlds: access to the vast resources of Boeing combined with the agility and people-focused, family-oriented culture of a small business where your contributions truly matter. Tapestry Solutions, a part of Boeing Global Services (BGS), is seeking a Software Engineering Manager in Hazelwood, MO to join our Mission Planning team. The position is pivotal to the success of the Tomahawk Cruise Missile program as the team continues to grow. This position will oversee the program's P&L as well as 15+ software engineers tasked with maintaining and transforming the Tomahawk Planning System. This position is ideal for someone motivated by a role that will help the U.S. and its allies advance their mission planning capabilities. Position Responsibilities: Create and communicate a compelling vision for the team, inspiring others to achieve shared goals Apply strategic thinking skills, enabling the development and execution of long-term plans that align with organizational objectives Foster a culture of continuous learning and professional development, empowering team members to reach their full potential Execute sound judgment and decision-making capabilities, balancing data-driven insights with intuition to guide the team effectively Build strong relationships across departments, leveraging influence to drive collaboration and achieve common objectives Lead teams through change with resilience and adaptability, ensuring smooth transitions and maintaining high levels of engagement Set clear performance expectations and provides constructive feedback, driving accountability and high performance within the team Deliver results, utilizing metrics and KPIs to measure success and drive continuous improvement Responsible for program's cost, schedule and performance as well as oversee the CDRL preparation and submission Meets or exceeds goals for productivity, quality and customer satisfaction Coaches, counsels, mentors and provides developmental opportunities and job assignments to enhance employee satisfaction and performance while expanding capabilities Basic Qualifications (Required Skills/Experience): Active US Secret Clearance with the ability to obtain a Top-Secret Clearance Candidates must have at least one year of experience in a leadership role (team leader, temp manager, large scale cross functional project/program management, or formal manager experience) OR have completed relevant internal Boeing or external coursework to demonstrate the knowledge 5+ years of experience with Agile software development methodologies 3+ years of experience formally managing software engineers Excellent oral and written communication skills Preferred Qualifications (Desired Skills/Experience): Bachelor's Degree 1+ years of domain experience with software engineering for government applications 1+ years of experience as a Program Manager 3+ years of experience developing and presenting recommendations to leadership Drug Free Workplace: We are a Drug Free Workplace where post offer applicants and employees are subject to testing for marijuana, cocaine, opioids, amphetamines, PCP, and alcohol when criteria is met as outlined in our policies. Pay & Benefits: We strive to deliver a total rewards package that will attract, engage and retain the top talent. Elements of this package include competitive base pay and variable compensation opportunities. We also provide eligible employees with an opportunity to enroll in a variety of benefit programs, generally including health insurance, flexible spending accounts, health savings accounts, retirement savings plans, life and disability insurance programs, and a number of programs that provide for both paid and unpaid time away from work. The specific programs and options available to any given employee may vary depending on eligibility factors such as geographic location and date of hire. Pay is based upon candidate experience and qualifications, as well as market and business considerations. Summary base pay range $140,000 - $155,000 Applications for this position will be accepted until Dec. 19, 2026 Export Control Requirements: This position must meet U.S. export control compliance requirements. To meet U.S. export control compliance requirements, a "U.S. Person" as defined by 22 C.F.R. 120.62 is required. "U.S. Person" includes U.S. Citizen, U.S. National, lawful permanent resident, refugee, or asylee. Export Control Details: US based job, US Person required Relocation Relocation assistance is not a negotiable benefit for this position. Security Clearance This position requires an active U.S. Secret Security Clearance (U.S. Citizenship Required). (A U.S. Security Clearance that has been active in the past 24 months is considered active) Visa Sponsorship Employer will not sponsor applicants for employment visa status. Shift This position is for 1st shift Equal Opportunity Employer: Boeing is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, national origin, gender, sexual orientation, gender identity, age, physical or mental disability, genetic factors, military/veteran status or other characteristics protected by law.
Job Description Job Description: Agentic AI Engineer Experience: (8-10) + Years Location: Fort Mill, SC Annual Salary: $120K Per Annum Job Summary We are seeking an experienced Agentic AI Engineer with 10+ years of experience in software engineering, AI/ML, and enterprise application development to design, develop, and deploy intelligent AI agents for wealth management applications. The ideal candidate will have strong expertise in Python, Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), multi-agent architectures, and enterprise AI integration. This role requires hands-on experience building production-grade AI solutions that can reason, plan, use tools, retrieve information, and execute business workflows with appropriate human oversight. Experience in wealth management, financial services, investment management, portfolio analytics, or financial advisory platforms is highly preferred. Key Responsibilities Design, develop, and deploy production-ready Agentic AI solutions for wealth management and financial services applications. Build autonomous and semi-autonomous AI agents capable of planning tasks, reasoning, invoking tools, and executing multi-step workflows. Develop multi-agent systems using frameworks such as LangGraph, LangChain, Semantic Kernel, AutoGen, or equivalent technologies. Design and implement LLM-powered applications using models from OpenAI, Anthropic, Azure OpenAI, AWS Bedrock, or similar platforms. Develop and optimize RAG pipelines, including document ingestion, chunking, embeddings, semantic search, reranking, and context retrieval. Integrate AI agents with enterprise systems, REST APIs, databases, knowledge repositories, and financial data platforms. Implement tool/function calling, structured outputs, workflow orchestration, memory management, and stateful agent execution. Build solutions for wealth management use cases, including portfolio research, advisor assistance, investment document analysis, client servicing, financial insights, and knowledge retrieval. Implement responsible AI practices, including guardrails, prompt-injection protection, access controls, PII protection, auditability, and human-in-the-loop approvals. Evaluate AI solutions for accuracy, groundedness, latency, reliability, cost, and business effectiveness. Deploy, monitor, and maintain AI applications using CI/CD, containerization, cloud services, logging, and observability tools. Collaborate with product managers, architects, data engineers, business analysts, and compliance teams to translate business requirements into scalable AI solutions. Mentor engineers, establish engineering best practices, and provide technical leadership across AI initiatives. Required Technical Skills 1. Programming and Software Engineering Strong hands-on experience with Python and object-oriented programming. Expertise in REST APIs, microservices, asynchronous processing, and enterprise application integration. Proficiency with Git, automated testing, debugging, and software engineering best practices. 2. Agentic AI and LLMs Hands-on experience designing and implementing AI agents and multi-agent workflows. Strong understanding of LLM architecture, prompt engineering, context management, and model selection. Experience with agent orchestration frameworks such as LangGraph, LangChain, Semantic Kernel, or AutoGen. Experience implementing tool calling, function calling, planning, state management, retries, and error handling. Understanding of agent autonomy, workflow determinism, and human-in-the-loop controls. 3. RAG and Knowledge Retrieval Experience building enterprise-grade RAG applications and document intelligence solutions. Knowledge of embedding models, vector search, hybrid search, reranking, and retrieval optimization. Experience with vector databases such as Pinecone, Weaviate, Milvus, Chroma, or FAISS. Familiarity with Elasticsearch/OpenSearch and traditional relational or NoSQL databases. 4. Cloud and AI Deployment Experience deploying AI applications on AWS, Azure, or GCP. Familiarity with services such as AWS Bedrock, Azure OpenAI, or equivalent managed AI platforms. Experience with Docker, Kubernetes, CI/CD pipelines, and production monitoring. Understanding of scalability, performance optimization, model serving, and LLM cost management. 5. AI Quality, Security, and Governance Experience implementing LLM evaluation, hallucination mitigation, grounded responses, and AI guardrails. Knowledge of responsible AI, data privacy, secure API integration, and enterprise access controls. Understanding of observability, tracing, prompt/version management, and production incident troubleshooting. Wealth Management Domain Experience Experience working in wealth management, financial services, investment management, banking, or fintech. Understanding of portfolio management, asset allocation, investment research, financial advisors, and client servicing workflows. Familiarity with financial statements, investment reports, market data, and financial research documents. Ability to develop AI solutions that support advisors and operations teams while maintaining data confidentiality, traceability, and compliance requirements. Experience with regulated financial environments and human approval workflows for sensitive or consequential actions is a strong plus. Preferred Qualifications Bachelor's or Master's degree in Computer Science, Engineering, Artificial Intelligence, or a related field. 10+ years of overall software engineering experience, with substantial hands-on experience in AI/ML, LLM applications, or Generative AI. Demonstrated experience delivering AI solutions from proof of concept through production deployment. Strong analytical, problem-solving, communication, and stakeholder-management skills. Experience leading technical design discussions and mentoring engineering teams. Important: Candidates should demonstrate hands-on implementation of production-grade Agentic AI solutions, not just chatbot development, prompt engineering, or proof-of-concept projects.
11/14/2026
Full time
Job Description Job Description: Agentic AI Engineer Experience: (8-10) + Years Location: Fort Mill, SC Annual Salary: $120K Per Annum Job Summary We are seeking an experienced Agentic AI Engineer with 10+ years of experience in software engineering, AI/ML, and enterprise application development to design, develop, and deploy intelligent AI agents for wealth management applications. The ideal candidate will have strong expertise in Python, Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), multi-agent architectures, and enterprise AI integration. This role requires hands-on experience building production-grade AI solutions that can reason, plan, use tools, retrieve information, and execute business workflows with appropriate human oversight. Experience in wealth management, financial services, investment management, portfolio analytics, or financial advisory platforms is highly preferred. Key Responsibilities Design, develop, and deploy production-ready Agentic AI solutions for wealth management and financial services applications. Build autonomous and semi-autonomous AI agents capable of planning tasks, reasoning, invoking tools, and executing multi-step workflows. Develop multi-agent systems using frameworks such as LangGraph, LangChain, Semantic Kernel, AutoGen, or equivalent technologies. Design and implement LLM-powered applications using models from OpenAI, Anthropic, Azure OpenAI, AWS Bedrock, or similar platforms. Develop and optimize RAG pipelines, including document ingestion, chunking, embeddings, semantic search, reranking, and context retrieval. Integrate AI agents with enterprise systems, REST APIs, databases, knowledge repositories, and financial data platforms. Implement tool/function calling, structured outputs, workflow orchestration, memory management, and stateful agent execution. Build solutions for wealth management use cases, including portfolio research, advisor assistance, investment document analysis, client servicing, financial insights, and knowledge retrieval. Implement responsible AI practices, including guardrails, prompt-injection protection, access controls, PII protection, auditability, and human-in-the-loop approvals. Evaluate AI solutions for accuracy, groundedness, latency, reliability, cost, and business effectiveness. Deploy, monitor, and maintain AI applications using CI/CD, containerization, cloud services, logging, and observability tools. Collaborate with product managers, architects, data engineers, business analysts, and compliance teams to translate business requirements into scalable AI solutions. Mentor engineers, establish engineering best practices, and provide technical leadership across AI initiatives. Required Technical Skills 1. Programming and Software Engineering Strong hands-on experience with Python and object-oriented programming. Expertise in REST APIs, microservices, asynchronous processing, and enterprise application integration. Proficiency with Git, automated testing, debugging, and software engineering best practices. 2. Agentic AI and LLMs Hands-on experience designing and implementing AI agents and multi-agent workflows. Strong understanding of LLM architecture, prompt engineering, context management, and model selection. Experience with agent orchestration frameworks such as LangGraph, LangChain, Semantic Kernel, or AutoGen. Experience implementing tool calling, function calling, planning, state management, retries, and error handling. Understanding of agent autonomy, workflow determinism, and human-in-the-loop controls. 3. RAG and Knowledge Retrieval Experience building enterprise-grade RAG applications and document intelligence solutions. Knowledge of embedding models, vector search, hybrid search, reranking, and retrieval optimization. Experience with vector databases such as Pinecone, Weaviate, Milvus, Chroma, or FAISS. Familiarity with Elasticsearch/OpenSearch and traditional relational or NoSQL databases. 4. Cloud and AI Deployment Experience deploying AI applications on AWS, Azure, or GCP. Familiarity with services such as AWS Bedrock, Azure OpenAI, or equivalent managed AI platforms. Experience with Docker, Kubernetes, CI/CD pipelines, and production monitoring. Understanding of scalability, performance optimization, model serving, and LLM cost management. 5. AI Quality, Security, and Governance Experience implementing LLM evaluation, hallucination mitigation, grounded responses, and AI guardrails. Knowledge of responsible AI, data privacy, secure API integration, and enterprise access controls. Understanding of observability, tracing, prompt/version management, and production incident troubleshooting. Wealth Management Domain Experience Experience working in wealth management, financial services, investment management, banking, or fintech. Understanding of portfolio management, asset allocation, investment research, financial advisors, and client servicing workflows. Familiarity with financial statements, investment reports, market data, and financial research documents. Ability to develop AI solutions that support advisors and operations teams while maintaining data confidentiality, traceability, and compliance requirements. Experience with regulated financial environments and human approval workflows for sensitive or consequential actions is a strong plus. Preferred Qualifications Bachelor's or Master's degree in Computer Science, Engineering, Artificial Intelligence, or a related field. 10+ years of overall software engineering experience, with substantial hands-on experience in AI/ML, LLM applications, or Generative AI. Demonstrated experience delivering AI solutions from proof of concept through production deployment. Strong analytical, problem-solving, communication, and stakeholder-management skills. Experience leading technical design discussions and mentoring engineering teams. Important: Candidates should demonstrate hands-on implementation of production-grade Agentic AI solutions, not just chatbot development, prompt engineering, or proof-of-concept projects.
Job Description We are At Synechron, we believe in the power of digital to transform businesses for the better. Our global consulting firm combines creativity and innovative technology to deliver industry-leading digital solutions. Synechron's progressive technologies and optimization strategies span end-to-end Artificial Intelligence, Consulting, Digital, Cloud & DevOps, Data, and Software Engineering, servicing an array of noteworthy financial services and technology firms. Through research and development initiatives in our FinLabs we develop solutions for modernization, from Artificial Intelligence and Blockchain to Data Science models, Digital Underwriting, mobile-first applications and more. Over the last 20+ years, our company has been honored with multiple employer awards, recognizing our commitment to our talented teams. With top clients to boast about, Synechron has a global workforce of 17000+, and has 58 offices in 22 countries within key global markets. Our challenge You will be a part of Swift Development Team (CIO) working with CTO Production Support Partners and Project partners. SWIFT technologist is responsible for developing and delivering complex requirements to accomplish business goals. Key responsibilities of the role include ensuring that SWIFT provided software is installed, configured, and supported to meet functional, non-functional, and compliance requirements. Requires knowledge for different services provided by the SWIFT network. Additional Information The base salary for this position will vary based on geography and other factors. In accordance with law, the base salary for this role if filled in Hudson, NJ is between $120K - $130K per annum & benefits (see below). The Role Responsibilities: Contribute to story refinement/defining requirements. Participate and guide team in estimating work necessary to realize a story/requirement through the delivery lifecycle. Perform proof of concept as necessary to mitigate risk or implement new ideas. Implement solutions and unit test to deliver a requirement/story per the defined acceptance criteria and compliance requirements. Contribute to existing test suites (integration, regression, performance), analyze test reports, identify any test issues/errors, and triage the underlying cause. Document and communicate required information for deployment, maintenance, support, and business functionality. Requirements: Strong Technology background with BFSI industry experience. 3 to 5 years hands-on experience in installing patches, maintaining, troubleshoot and testing SWIFT products: SWIFT Alliance Gateway, SWIFT Alliance Access, SWIFT Web Platform, SWIFT Net Link Able to demonstrate a knowledge of all SWIFT messaging formats Demonstrated experience in SWIFT protocols Strong communication skills - written, verbal, visual presentations, and effective listening skills Ability and desire to think creatively to deliver business results both independently and as part of a team Experience in Alliance Messaging Hub a plus Good understanding of the SDLC lifecycle Experience with SWIFT Hardware Security Modules We offer: A highly competitive compensation and benefits package. A multinational organization with 58 offices in 22 countries and the possibility to work abroad. 10 days of paid annual leave (plus sick leave and national holidays). Maternity & paternity leave plans. A comprehensive insurance plan including medical, dental, vision, life insurance, and long-/short-term disability (plans vary by region). Retirement savings plans. A higher education certification policy. Commuter benefits (varies by region). Extensive training opportunities, focused on skills, substantive knowledge, and personal development. On-demand Udemy for Business for all Synechron employees with free access to more than 5000 curated courses. Coaching opportunities with experienced colleagues from our Financial Innovation Labs (FinLabs) and Center of Excellences (CoE) groups. Cutting edge projects at the world's leading tier-one banks, financial institutions and insurance firms. A flat and approachable organization. A truly diverse, fun-loving, and global work culture. S YNECHRON'S DIVERSITY & INCLUSION STATEMENT Diversity & Inclusion are fundamental to our culture, and Synechron is proud to be an equal opportunity workplace and is an affirmative action employer. Our Diversity, Equity, and Inclusion (DEI) initiative 'Same Difference' is committed to fostering an inclusive culture - promoting equality, diversity and an environment that is respectful to all. We strongly believe that a diverse workforce helps build stronger, successful businesses as a global company. We encourage applicants from across diverse backgrounds, race, ethnicities, religion, age, marital status, gender, sexual orientations, or disabilities to apply. We empower our global workforce by offering flexible workplace arrangements, mentoring, internal mobility, learning and development programs, and more. All employment decisions at Synechron are based on business needs, job requirements and individual qualifications, without regard to the applicant's gender, gender identity, sexual orientation, race, ethnicity, disabled or veteran status, or any other characteristic protected by law.
11/14/2026
Full time
Job Description We are At Synechron, we believe in the power of digital to transform businesses for the better. Our global consulting firm combines creativity and innovative technology to deliver industry-leading digital solutions. Synechron's progressive technologies and optimization strategies span end-to-end Artificial Intelligence, Consulting, Digital, Cloud & DevOps, Data, and Software Engineering, servicing an array of noteworthy financial services and technology firms. Through research and development initiatives in our FinLabs we develop solutions for modernization, from Artificial Intelligence and Blockchain to Data Science models, Digital Underwriting, mobile-first applications and more. Over the last 20+ years, our company has been honored with multiple employer awards, recognizing our commitment to our talented teams. With top clients to boast about, Synechron has a global workforce of 17000+, and has 58 offices in 22 countries within key global markets. Our challenge You will be a part of Swift Development Team (CIO) working with CTO Production Support Partners and Project partners. SWIFT technologist is responsible for developing and delivering complex requirements to accomplish business goals. Key responsibilities of the role include ensuring that SWIFT provided software is installed, configured, and supported to meet functional, non-functional, and compliance requirements. Requires knowledge for different services provided by the SWIFT network. Additional Information The base salary for this position will vary based on geography and other factors. In accordance with law, the base salary for this role if filled in Hudson, NJ is between $120K - $130K per annum & benefits (see below). The Role Responsibilities: Contribute to story refinement/defining requirements. Participate and guide team in estimating work necessary to realize a story/requirement through the delivery lifecycle. Perform proof of concept as necessary to mitigate risk or implement new ideas. Implement solutions and unit test to deliver a requirement/story per the defined acceptance criteria and compliance requirements. Contribute to existing test suites (integration, regression, performance), analyze test reports, identify any test issues/errors, and triage the underlying cause. Document and communicate required information for deployment, maintenance, support, and business functionality. Requirements: Strong Technology background with BFSI industry experience. 3 to 5 years hands-on experience in installing patches, maintaining, troubleshoot and testing SWIFT products: SWIFT Alliance Gateway, SWIFT Alliance Access, SWIFT Web Platform, SWIFT Net Link Able to demonstrate a knowledge of all SWIFT messaging formats Demonstrated experience in SWIFT protocols Strong communication skills - written, verbal, visual presentations, and effective listening skills Ability and desire to think creatively to deliver business results both independently and as part of a team Experience in Alliance Messaging Hub a plus Good understanding of the SDLC lifecycle Experience with SWIFT Hardware Security Modules We offer: A highly competitive compensation and benefits package. A multinational organization with 58 offices in 22 countries and the possibility to work abroad. 10 days of paid annual leave (plus sick leave and national holidays). Maternity & paternity leave plans. A comprehensive insurance plan including medical, dental, vision, life insurance, and long-/short-term disability (plans vary by region). Retirement savings plans. A higher education certification policy. Commuter benefits (varies by region). Extensive training opportunities, focused on skills, substantive knowledge, and personal development. On-demand Udemy for Business for all Synechron employees with free access to more than 5000 curated courses. Coaching opportunities with experienced colleagues from our Financial Innovation Labs (FinLabs) and Center of Excellences (CoE) groups. Cutting edge projects at the world's leading tier-one banks, financial institutions and insurance firms. A flat and approachable organization. A truly diverse, fun-loving, and global work culture. S YNECHRON'S DIVERSITY & INCLUSION STATEMENT Diversity & Inclusion are fundamental to our culture, and Synechron is proud to be an equal opportunity workplace and is an affirmative action employer. Our Diversity, Equity, and Inclusion (DEI) initiative 'Same Difference' is committed to fostering an inclusive culture - promoting equality, diversity and an environment that is respectful to all. We strongly believe that a diverse workforce helps build stronger, successful businesses as a global company. We encourage applicants from across diverse backgrounds, race, ethnicities, religion, age, marital status, gender, sexual orientations, or disabilities to apply. We empower our global workforce by offering flexible workplace arrangements, mentoring, internal mobility, learning and development programs, and more. All employment decisions at Synechron are based on business needs, job requirements and individual qualifications, without regard to the applicant's gender, gender identity, sexual orientation, race, ethnicity, disabled or veteran status, or any other characteristic protected by law.
Job Description C&F is a technology services company providing innovative solutions in Data Management, Big Data, Advanced Analytics and Compliance. With a highly integrated team of 400+ experts, for over 20 years C&F has been delivering superior engineering and premium operations to Fortune 500 companies, primarily in the Life Science industry. About Our Manufacturing Business Unit Our company is organized into unique Business Units, each delivering innovative and differentiated business technology solutions across industries. The Manufacturing Business Unit specializes in enterprise-scale manufacturing solutions that drive site- and network-level outcomes aligned to strategic objectives and KPIs. Our applications, data products, and advanced platform technologies-including AI and IoT-enable Digital Manufacturing at Scale. We primarily serve enterprise clients across Human Pharma, Animal Health, and Consumer Goods industries. Our Manufacturing Business Unit operates through three integrated functions: • Strategy & Growth - Develops differentiated offerings and industry thought leadership. • Business Consulting - Defines client-customized solutions and ensures sustained value realization. • Engineering Delivery - Delivers solution architecture, development, deployment, and sustainment. The Business Consulting function is hiring a Manager, Manufacturing Solutions Business Consultant to serve as a Product Owner and consulting lead across manufacturing digital initiatives. Position Overview The Consultant supports delivery of Digital Manufacturing initiatives by acting as a Business Analyst and/or Junior Product Owner within client engagements. This role partners closely with Managers and Senior Managers to define requirements, structure documentation, develop client-ready materials, and support Agile delivery execution. The Consultant plays a key role in translating manufacturing business needs into functional artifacts that enable engineering teams to deliver value. This is a hands-on, consulting and analytical role suited for individuals with early experience in Manufacturing OT, Manufacturing IT or technology. The role also requires a working understanding of artificial intelligence (AI), including generative AI and agentic technologies, and an interest in applying these capabilities to practical manufacturing and business challenges. Key Responsibilities Consulting & Problem Solving Support consulting engagements by analyzing manufacturing business needs, contributing to client discussions, and helping develop practical recommendations and solutions. Business Analysis & Requirements Development • Support facilitation of client workshops to gather functional and non-functional requirements. • Document business processes, current-state pain points, and future-state solution designs. • Develop structured requirements documentation, user stories, and acceptance criteria. • Assist in translating manufacturing KPIs (OEE, quality, throughput, asset performance) into measurable solution objectives. • Maintain traceability between business requirements and delivered functionality. Product & Backlog Support • Support backlog development and refinement under guidance of a Manager or Senior Manager. • Draft epics, features, and user stories aligned to defined roadmap priorities. • Participate in sprint planning, demos, and retrospectives. • Track action items, risks, and dependencies across delivery workstreams. • Assist in maintaining roadmap documentation and milestone trackers. Documentation & Presentation Development Develop high-quality client-ready materials including: Roadmap summaries Workshop outputs Business case inputs Solution overviews Executive presentation drafts: -Structure content using clear, logical storytelling and data-supported insights. -Support development of proposal materials and Statements of Work. -Ensure documentation is clear, concise, and professionally formatted. Agile & Delivery Support • Operate within Agile delivery models (Scrum, SAFe, or hybrid environments). • Support backlog grooming and sprint documentation. • Assist with tracking sprint progress and updating delivery artifacts. • Promote disciplined documentation and communication standards. Manufacturing Domain & Technical Acumen • Build working knowledge of manufacturing business processes (production execution, quality, maintenance, traceability). • Develop familiarity with manufacturing technology ecosystems • Support analysis of integration points across MES, ERP, IoT, and data platforms. AI & Agentic Solution Support • Support identification and documentation of AI-enabled use cases across manufacturing processes, knowledge workflows, decision support, and task automation. • Translate AI use cases into business requirements, process flows, user stories, acceptance criteria, test scenarios, and measurable success criteria. • Build familiarity with large language models, AI agents, retrieval-augmented generation, machine learning, and enterprise AI governance concepts. Required Qualifications • 3+ years of consulting experience in manufacturing, technology, or digital delivery environments. • Proven consulting experience supporting client discussions and helping develop practical recommendations and solutions. • Experience supporting requirements gathering and documentation. • Exposure to Agile delivery methodologies. • Strong written and verbal communication skills. • Analytical mindset with structured problem-solving capabilities. • Proficiency in presentation development tools (e.g., PowerPoint, Excel). Preferred Qualifications • Bachelor's degree • Experience in technology delivery or implementation • Experience with project management practices and project management software • Experience working with cross functional teams such as UI/UX designers, software/data engineers and end users What we offer: Competitive remuneration and various benefits: 401(k) Retirement Plan (Immediate eligibility with 100% employer match up to 4%.) Medical Insurance Maternity and Paternity Leave Long-Term Disability Bereavement leave Generous Sick Leave Internet and Phone stipend Development stipend Wellness stipend Generous Paid Time Off: 20 days in the first year, increasing to 25 days We work fully remotely but expect openness to occasional travel Company culture is rooted in respect and cooperation. You'll be working with great people, who are open to new challenges and directions. If you are tired of the proverbial corporate treadmill, come to us to rest mentally. If you've had luck with employers, we'll do our best not to buck the trend. Additional Info: Range: $100,000 - $115,000 + Bonus Location: Remote (US East Coast) Travel: 10%
11/14/2026
Full time
Job Description C&F is a technology services company providing innovative solutions in Data Management, Big Data, Advanced Analytics and Compliance. With a highly integrated team of 400+ experts, for over 20 years C&F has been delivering superior engineering and premium operations to Fortune 500 companies, primarily in the Life Science industry. About Our Manufacturing Business Unit Our company is organized into unique Business Units, each delivering innovative and differentiated business technology solutions across industries. The Manufacturing Business Unit specializes in enterprise-scale manufacturing solutions that drive site- and network-level outcomes aligned to strategic objectives and KPIs. Our applications, data products, and advanced platform technologies-including AI and IoT-enable Digital Manufacturing at Scale. We primarily serve enterprise clients across Human Pharma, Animal Health, and Consumer Goods industries. Our Manufacturing Business Unit operates through three integrated functions: • Strategy & Growth - Develops differentiated offerings and industry thought leadership. • Business Consulting - Defines client-customized solutions and ensures sustained value realization. • Engineering Delivery - Delivers solution architecture, development, deployment, and sustainment. The Business Consulting function is hiring a Manager, Manufacturing Solutions Business Consultant to serve as a Product Owner and consulting lead across manufacturing digital initiatives. Position Overview The Consultant supports delivery of Digital Manufacturing initiatives by acting as a Business Analyst and/or Junior Product Owner within client engagements. This role partners closely with Managers and Senior Managers to define requirements, structure documentation, develop client-ready materials, and support Agile delivery execution. The Consultant plays a key role in translating manufacturing business needs into functional artifacts that enable engineering teams to deliver value. This is a hands-on, consulting and analytical role suited for individuals with early experience in Manufacturing OT, Manufacturing IT or technology. The role also requires a working understanding of artificial intelligence (AI), including generative AI and agentic technologies, and an interest in applying these capabilities to practical manufacturing and business challenges. Key Responsibilities Consulting & Problem Solving Support consulting engagements by analyzing manufacturing business needs, contributing to client discussions, and helping develop practical recommendations and solutions. Business Analysis & Requirements Development • Support facilitation of client workshops to gather functional and non-functional requirements. • Document business processes, current-state pain points, and future-state solution designs. • Develop structured requirements documentation, user stories, and acceptance criteria. • Assist in translating manufacturing KPIs (OEE, quality, throughput, asset performance) into measurable solution objectives. • Maintain traceability between business requirements and delivered functionality. Product & Backlog Support • Support backlog development and refinement under guidance of a Manager or Senior Manager. • Draft epics, features, and user stories aligned to defined roadmap priorities. • Participate in sprint planning, demos, and retrospectives. • Track action items, risks, and dependencies across delivery workstreams. • Assist in maintaining roadmap documentation and milestone trackers. Documentation & Presentation Development Develop high-quality client-ready materials including: Roadmap summaries Workshop outputs Business case inputs Solution overviews Executive presentation drafts: -Structure content using clear, logical storytelling and data-supported insights. -Support development of proposal materials and Statements of Work. -Ensure documentation is clear, concise, and professionally formatted. Agile & Delivery Support • Operate within Agile delivery models (Scrum, SAFe, or hybrid environments). • Support backlog grooming and sprint documentation. • Assist with tracking sprint progress and updating delivery artifacts. • Promote disciplined documentation and communication standards. Manufacturing Domain & Technical Acumen • Build working knowledge of manufacturing business processes (production execution, quality, maintenance, traceability). • Develop familiarity with manufacturing technology ecosystems • Support analysis of integration points across MES, ERP, IoT, and data platforms. AI & Agentic Solution Support • Support identification and documentation of AI-enabled use cases across manufacturing processes, knowledge workflows, decision support, and task automation. • Translate AI use cases into business requirements, process flows, user stories, acceptance criteria, test scenarios, and measurable success criteria. • Build familiarity with large language models, AI agents, retrieval-augmented generation, machine learning, and enterprise AI governance concepts. Required Qualifications • 3+ years of consulting experience in manufacturing, technology, or digital delivery environments. • Proven consulting experience supporting client discussions and helping develop practical recommendations and solutions. • Experience supporting requirements gathering and documentation. • Exposure to Agile delivery methodologies. • Strong written and verbal communication skills. • Analytical mindset with structured problem-solving capabilities. • Proficiency in presentation development tools (e.g., PowerPoint, Excel). Preferred Qualifications • Bachelor's degree • Experience in technology delivery or implementation • Experience with project management practices and project management software • Experience working with cross functional teams such as UI/UX designers, software/data engineers and end users What we offer: Competitive remuneration and various benefits: 401(k) Retirement Plan (Immediate eligibility with 100% employer match up to 4%.) Medical Insurance Maternity and Paternity Leave Long-Term Disability Bereavement leave Generous Sick Leave Internet and Phone stipend Development stipend Wellness stipend Generous Paid Time Off: 20 days in the first year, increasing to 25 days We work fully remotely but expect openness to occasional travel Company culture is rooted in respect and cooperation. You'll be working with great people, who are open to new challenges and directions. If you are tired of the proverbial corporate treadmill, come to us to rest mentally. If you've had luck with employers, we'll do our best not to buck the trend. Additional Info: Range: $100,000 - $115,000 + Bonus Location: Remote (US East Coast) Travel: 10%
Job Description Position Summary Vantage is seeking a strategic and hands-on Analytics Manager to lead and grow its enterprise analytics capability. This individual will oversee the development of advanced data solutions and reporting frameworks that enable stakeholders across the business to make data-driven decisions. This role is both a builder and a leader-responsible for aligning analytics strategies to business goals while managing a small team of high-performing data professionals. The successful candidate will bring strong experience in enterprise data environments (e.g., Power BI, Azure, Snowflake, Databricks), a solid understanding of data modeling and architecture, and the leadership skills to guide a growing analytics function. This is a highly visible role with direct impact on organizational performance, technology evolution, and strategic insight delivery. Essential Duties And Responsibilities Lead the execution of a scalable and forward-looking analytics strategy in alignment with enterprise goals and IT architecture. Manage and mentor a team of two Data Engineers and one Data/Business Analyst, fostering collaboration, skill development, and performance. Collaborate directly with business stakeholders to translate their needs into actionable data solutions, analytics dashboards, and decision-support tools. Oversee and enhance the data pipeline lifecycle-ingestion, transformation, storage, and visualization-ensuring high data quality and performance. Architect and maintain robust data models that support scalable self-service analytics and advanced reporting across the organization. Design and enforce data governance and standardization practices in partnership with the IT architecture team. Serve as a subject matter expert in analytics technologies including Power BI, Snowflake, Azure Data Factory, and Databricks. Champion the use of data to drive innovation, efficiency, and business value across departments. Proactively research, evaluate, and implement emerging analytics tools and practices to strengthen platform capabilities. Support strategic projects and act as the analytics lead on cross-functional initiatives. Education & Experience Bachelor's or Master's degree in Analytics, Computer Science, Information Systems, or related field. 5-10 years of experience in analytics, data engineering, or business intelligence roles, with 2+ years in a leadership capacity. Knowledge, Skills, & Talents Demonstrated expertise in SQL and Python for data analysis and transformation. Strong grasp of data modeling, warehouse architecture, and business intelligence tools. Proven ability to manage teams, projects, and timelines in a cross-functional environment. Ability to balance changing and potentially conflicting priorities & working with uncertainty. Strong communication skills for making presentations, developing and maintaining relationships with ability to communicate complex issues in a crisp, clear and concise way is ideal. Knowledge of data quality frameworks and data governance best practices. Previous experience with ELT/ETL pipeline design and implementation in cloud-based environments. Exposure to agile delivery methodologies and collaborative project management tools. Experience aligning analytics with business goals, including performance metrics, reporting standards, and operational KPIs. Ability to identify problems, formulate solutions, influence others, and drive results are important skills for this role. Pay And Benefits The estimated base pay range for this position is: $120,000 - $180,000 annually. Actual pay will be determined based on education, certifications, experience, qualifications, skills and geographic location. This position is eligible to participate in a short-term incentive program. Vantage offers a comprehensive benefits package to eligible employees, including: Medical, HSA, dental, vision FSA (limited purpose, dependent care, and commuter/parking) Life and AD&D insurance Accident, hospital indemnity and critical illness insurance Short- and long-term disability EAP, identity theft protection Paid time off, Parental Leave 401(k) with company match Equal Employment Opportunity Vantage is an equal opportunity employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, protected veteran status or any other protected category. About Vantage Vantage provides natural solutions to our customers' technical performance and marketing needs through a unique combination of chemistry, application expertise and service. Underpinned by our broad portfolio of formulations, ingredients and actives that are built on a backbone of sustainable oils, fats and their derivatives, Vantage targets selected markets and applications including personal care, food, surface treatment, agriculture, pharma, and consumer and industrial performance. Vantage is headquartered in Deerfield, IL., operates in 11 countries worldwide and employs more than 1,000 talented professionals focused on delivering exceptional customer experiences with every interaction. We are a dynamic people-centered organization where you'll be part of a collaborative global team. Embracing our cultural diversity, we learn from each other to constantly improve, adapt and iterate. We value the voices and talents of our colleagues, empowering them to drive their unique ideas to completion. We're convinced that exceptionally motivated employees produce outstanding results and we celebrate them by fostering a culture of recognition, development, learning, excellence and shared achievement. Most importantly, we know you're going to like it here. For more information visit: or LinkedIn/vantage.
11/14/2026
Full time
Job Description Position Summary Vantage is seeking a strategic and hands-on Analytics Manager to lead and grow its enterprise analytics capability. This individual will oversee the development of advanced data solutions and reporting frameworks that enable stakeholders across the business to make data-driven decisions. This role is both a builder and a leader-responsible for aligning analytics strategies to business goals while managing a small team of high-performing data professionals. The successful candidate will bring strong experience in enterprise data environments (e.g., Power BI, Azure, Snowflake, Databricks), a solid understanding of data modeling and architecture, and the leadership skills to guide a growing analytics function. This is a highly visible role with direct impact on organizational performance, technology evolution, and strategic insight delivery. Essential Duties And Responsibilities Lead the execution of a scalable and forward-looking analytics strategy in alignment with enterprise goals and IT architecture. Manage and mentor a team of two Data Engineers and one Data/Business Analyst, fostering collaboration, skill development, and performance. Collaborate directly with business stakeholders to translate their needs into actionable data solutions, analytics dashboards, and decision-support tools. Oversee and enhance the data pipeline lifecycle-ingestion, transformation, storage, and visualization-ensuring high data quality and performance. Architect and maintain robust data models that support scalable self-service analytics and advanced reporting across the organization. Design and enforce data governance and standardization practices in partnership with the IT architecture team. Serve as a subject matter expert in analytics technologies including Power BI, Snowflake, Azure Data Factory, and Databricks. Champion the use of data to drive innovation, efficiency, and business value across departments. Proactively research, evaluate, and implement emerging analytics tools and practices to strengthen platform capabilities. Support strategic projects and act as the analytics lead on cross-functional initiatives. Education & Experience Bachelor's or Master's degree in Analytics, Computer Science, Information Systems, or related field. 5-10 years of experience in analytics, data engineering, or business intelligence roles, with 2+ years in a leadership capacity. Knowledge, Skills, & Talents Demonstrated expertise in SQL and Python for data analysis and transformation. Strong grasp of data modeling, warehouse architecture, and business intelligence tools. Proven ability to manage teams, projects, and timelines in a cross-functional environment. Ability to balance changing and potentially conflicting priorities & working with uncertainty. Strong communication skills for making presentations, developing and maintaining relationships with ability to communicate complex issues in a crisp, clear and concise way is ideal. Knowledge of data quality frameworks and data governance best practices. Previous experience with ELT/ETL pipeline design and implementation in cloud-based environments. Exposure to agile delivery methodologies and collaborative project management tools. Experience aligning analytics with business goals, including performance metrics, reporting standards, and operational KPIs. Ability to identify problems, formulate solutions, influence others, and drive results are important skills for this role. Pay And Benefits The estimated base pay range for this position is: $120,000 - $180,000 annually. Actual pay will be determined based on education, certifications, experience, qualifications, skills and geographic location. This position is eligible to participate in a short-term incentive program. Vantage offers a comprehensive benefits package to eligible employees, including: Medical, HSA, dental, vision FSA (limited purpose, dependent care, and commuter/parking) Life and AD&D insurance Accident, hospital indemnity and critical illness insurance Short- and long-term disability EAP, identity theft protection Paid time off, Parental Leave 401(k) with company match Equal Employment Opportunity Vantage is an equal opportunity employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, protected veteran status or any other protected category. About Vantage Vantage provides natural solutions to our customers' technical performance and marketing needs through a unique combination of chemistry, application expertise and service. Underpinned by our broad portfolio of formulations, ingredients and actives that are built on a backbone of sustainable oils, fats and their derivatives, Vantage targets selected markets and applications including personal care, food, surface treatment, agriculture, pharma, and consumer and industrial performance. Vantage is headquartered in Deerfield, IL., operates in 11 countries worldwide and employs more than 1,000 talented professionals focused on delivering exceptional customer experiences with every interaction. We are a dynamic people-centered organization where you'll be part of a collaborative global team. Embracing our cultural diversity, we learn from each other to constantly improve, adapt and iterate. We value the voices and talents of our colleagues, empowering them to drive their unique ideas to completion. We're convinced that exceptionally motivated employees produce outstanding results and we celebrate them by fostering a culture of recognition, development, learning, excellence and shared achievement. Most importantly, we know you're going to like it here. For more information visit: or LinkedIn/vantage.
Job Description Job Title: GenAI Architect Location: New York City, NY (Onsite/Local Candidates Preferred) Experience: 10+ Years Visa: Open to All Visa Types Job Summary: We are seeking an experienced GenAI Architect with 10+ years of overall experience to design, architect, and lead the delivery of enterprise-grade Generative AI solutions. The ideal candidate will have strong expertise in Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), Agentic AI workflows, and cloud-based AI architectures. The candidate will be responsible for translating business requirements into scalable, secure, and production-ready AI solutions while collaborating closely with business stakeholders, data scientists, and engineering teams. Key Responsibilities: Design and architect enterprise-grade Generative AI solutions leveraging LLMs, RAG pipelines, and agentic AI frameworks. Lead the development and implementation of scalable AI applications and intelligent automation solutions. Architect end-to-end RAG solutions, including document ingestion, chunking, embedding generation, vector databases, retrieval, and response generation. Design and implement agentic workflows using tools, APIs, orchestration frameworks, and multi-agent architectures. Evaluate and integrate LLM models from providers such as OpenAI, Anthropic, Google, and open-source ecosystems. Leverage cloud platforms such as AWS, Azure, or GCP to build and deploy enterprise AI solutions. Establish best practices for prompt engineering, context management, model evaluation, performance optimization, and LLM observability. Ensure AI solutions meet enterprise requirements for security, scalability, governance, compliance, and responsible AI. Collaborate with business stakeholders and technical teams to identify AI opportunities and translate business use cases into technical architectures. Provide technical leadership, architecture guidance, and mentorship to engineering teams throughout the development lifecycle. Required Technical Skills: 10+ years of overall experience in software engineering, solution architecture, AI/ML, or related technology domains. Strong hands-on experience designing and implementing Generative AI and LLM-based applications. Extensive experience with RAG architecture, vector databases, embeddings, semantic search, and knowledge retrieval systems. Strong understanding of Agentic AI, AI agents, multi-agent systems, and tool/function calling. Experience with frameworks such as LangChain, LangGraph, LlamaIndex, Semantic Kernel, or similar. Proficiency in Python and experience developing enterprise-grade applications and APIs. Experience working with LLM providers such as OpenAI, Azure OpenAI, Anthropic, Gemini, or open-source LLMs. Strong experience with at least one major cloud platform: AWS, Microsoft Azure, or Google Cloud Platform. Knowledge of vector databases such as Pinecone, Azure AI Search, FAISS, Weaviate, Milvus, or Chroma. Understanding of LLMOps, model deployment, monitoring, evaluation, and optimization. Experience with enterprise security, data privacy, access controls, and responsible AI practices. Preferred Qualifications: Experience architecting and delivering enterprise-scale GenAI solutions from concept to production. Knowledge of Kubernetes, Docker, microservices, and CI/CD pipelines. Experience with fine-tuning, model customization, and prompt optimization. Familiarity with AI governance, guardrails, hallucination mitigation, and responsible AI implementation. Excellent communication, stakeholder management, and technical leadership skills.
11/14/2026
Full time
Job Description Job Title: GenAI Architect Location: New York City, NY (Onsite/Local Candidates Preferred) Experience: 10+ Years Visa: Open to All Visa Types Job Summary: We are seeking an experienced GenAI Architect with 10+ years of overall experience to design, architect, and lead the delivery of enterprise-grade Generative AI solutions. The ideal candidate will have strong expertise in Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), Agentic AI workflows, and cloud-based AI architectures. The candidate will be responsible for translating business requirements into scalable, secure, and production-ready AI solutions while collaborating closely with business stakeholders, data scientists, and engineering teams. Key Responsibilities: Design and architect enterprise-grade Generative AI solutions leveraging LLMs, RAG pipelines, and agentic AI frameworks. Lead the development and implementation of scalable AI applications and intelligent automation solutions. Architect end-to-end RAG solutions, including document ingestion, chunking, embedding generation, vector databases, retrieval, and response generation. Design and implement agentic workflows using tools, APIs, orchestration frameworks, and multi-agent architectures. Evaluate and integrate LLM models from providers such as OpenAI, Anthropic, Google, and open-source ecosystems. Leverage cloud platforms such as AWS, Azure, or GCP to build and deploy enterprise AI solutions. Establish best practices for prompt engineering, context management, model evaluation, performance optimization, and LLM observability. Ensure AI solutions meet enterprise requirements for security, scalability, governance, compliance, and responsible AI. Collaborate with business stakeholders and technical teams to identify AI opportunities and translate business use cases into technical architectures. Provide technical leadership, architecture guidance, and mentorship to engineering teams throughout the development lifecycle. Required Technical Skills: 10+ years of overall experience in software engineering, solution architecture, AI/ML, or related technology domains. Strong hands-on experience designing and implementing Generative AI and LLM-based applications. Extensive experience with RAG architecture, vector databases, embeddings, semantic search, and knowledge retrieval systems. Strong understanding of Agentic AI, AI agents, multi-agent systems, and tool/function calling. Experience with frameworks such as LangChain, LangGraph, LlamaIndex, Semantic Kernel, or similar. Proficiency in Python and experience developing enterprise-grade applications and APIs. Experience working with LLM providers such as OpenAI, Azure OpenAI, Anthropic, Gemini, or open-source LLMs. Strong experience with at least one major cloud platform: AWS, Microsoft Azure, or Google Cloud Platform. Knowledge of vector databases such as Pinecone, Azure AI Search, FAISS, Weaviate, Milvus, or Chroma. Understanding of LLMOps, model deployment, monitoring, evaluation, and optimization. Experience with enterprise security, data privacy, access controls, and responsible AI practices. Preferred Qualifications: Experience architecting and delivering enterprise-scale GenAI solutions from concept to production. Knowledge of Kubernetes, Docker, microservices, and CI/CD pipelines. Experience with fine-tuning, model customization, and prompt optimization. Familiarity with AI governance, guardrails, hallucination mitigation, and responsible AI implementation. Excellent communication, stakeholder management, and technical leadership skills.
Job Description Senior Full Stack Developer (Python / React) - TS/SCI with CI Polygraph Bethesda, MD or McLean, VA About the role Join a high-performing development team that reports directly to senior executives in the Intelligence Community. The team builds the environment and applications that put business data and analytics to work. This is a hands-on development role. We're looking for a senior engineer who can raise the technical bar on a team of strong junior and mid-level developers. What you'll do Design, build and maintain full stack applications that turn business data into analytics and decision-support tools. Develop back-end services and data pipelines in Python and front-end interfaces in TypeScript and React. Work with PostgreSQL databases and AWS-hosted environments. Contribute hands-on code every day, and also set technical direction, review code and mentor teammates. Work directly with the customer and stakeholders to turn their needs into working software. Tech stack (not all required) Back end: Python, Flask, SQLAlchemy, Pandas Front end: TypeScript, React, PrimeReact Data: PostgreSQL Cloud: AWS Required qualifications Active TS/SCI with a CI polygraph Senior-level experience in full stack software development Strong Python and TypeScript/React experience, Experience with relational databases Ability to work on site in Bethesda, MD or McLean, VA
11/14/2026
Full time
Job Description Senior Full Stack Developer (Python / React) - TS/SCI with CI Polygraph Bethesda, MD or McLean, VA About the role Join a high-performing development team that reports directly to senior executives in the Intelligence Community. The team builds the environment and applications that put business data and analytics to work. This is a hands-on development role. We're looking for a senior engineer who can raise the technical bar on a team of strong junior and mid-level developers. What you'll do Design, build and maintain full stack applications that turn business data into analytics and decision-support tools. Develop back-end services and data pipelines in Python and front-end interfaces in TypeScript and React. Work with PostgreSQL databases and AWS-hosted environments. Contribute hands-on code every day, and also set technical direction, review code and mentor teammates. Work directly with the customer and stakeholders to turn their needs into working software. Tech stack (not all required) Back end: Python, Flask, SQLAlchemy, Pandas Front end: TypeScript, React, PrimeReact Data: PostgreSQL Cloud: AWS Required qualifications Active TS/SCI with a CI polygraph Senior-level experience in full stack software development Strong Python and TypeScript/React experience, Experience with relational databases Ability to work on site in Bethesda, MD or McLean, VA
Job Description Top tier financial investment firm seeks an AI Engineer who will lead the design, build, and end-to-end delivery of business-facing AI applications and automation across the Firm. As a member of the AI team within Business Technology, the AI Engineer will work directly with front office Investment Profesionals to understand transaction workflows, translate business needs into technical specifications, and own delivery of practical solutions within the Firm's ecosystem, anticipating issues and managing priorities, resources, and timelines. This is a hands-on, full-stack engineering role combining stakeholder engagement, requirements analysis, software development, testing, deployment, and support. The AI Engineer will also contribute to the Firm's internal AI platform by building and maintaining reusable API integrations, Model Context Protocol (MCP) connectors, and workflow components that securely connect AI applications and agents to approved enterprise systems and data. The AI Engineer will lead day-to-day delivery with a high degree of independence, provide technical guidance and mentoring to junior colleagues, and coordinate with Businesses, Data Science, IT, Information Security, Compliance, and external vendors. Key Responsibilities: Partner with Business to lead requirements gathering and documentation; translate workflows into user stories, technical specifications, and acceptance criteria. Evaluate existing tools before recommending a new build. Lead the design and development of full-stack applications, dashboards, and workflow tools, connecting user interfaces, APIs, databases, and approved AI services to support information synthesis and banker productivity. Own the design, build, testing, and maintenance of secure, reusable API integrations and MCP connectors between the Firm's AI platform and approved enterprise systems, data sources, and third-party services. Lead the development and maintenance of reviewed, configurable templates and reusable components so solutions can be adapted across transactions rather than rebuilt for each deal. Guide AI workflow orchestration and contribute to technical planning. Apply and reinforce engineering best practices, including version control, peer code review, automated testing, secure credential management, logging, and technical documentation. Evaluate AI output quality, reliability, latency, and cost. Lead user acceptance testing, user training, and feedback. Work with IT and engineering on approved deployment, monitoring, support handover, and retirement of temporary deal tools. Partner with Information Security and Compliance to identify and review material changes to solutions or enhancements that warrant additional assessment. Required Skills: Strong hands-on software development expertise in Python and JavaScript or TypeScript , with experience building web interfaces and backend services using frameworks such as React, Next.js, or Django. Demonstrated expertise designing, building, consuming, and troubleshooting APIs and connectors, with familiarity with Model Context Protocol (MCP) desirable. Strong working knowledge of SQL and relational databases Proficiency in Git, testing, debugging, and deployment practices, with the ability to write clear, maintainable, reviewable code. Working knowledge of generative AI architecture and demonstrated experience with large language model integration, including output validation and the limitations of AI-generated results and code. Ability to translate complex business needs into workable technical solutions, exercise sound technical judgment, and explain trade-offs and business objectives clearly to technical and non-technical stakeholders. Strong analytical thinking, organization, documentation, attention to detail, and customer service orientation. Sound judgment when handling confidential information and escalating risks. Intellectual curiosity, adaptability, and the ability to lead projects from start to finish with a high degree of independence, guide junior colleagues, and recognize when to involve senior colleagues on architecture, security, and production readiness. Plusses: Experience with AI-enabled applications, retrieval-augmented generation, agent workflows, or model evaluation. Experience with cloud platforms such as Azure, containers, CI/CD, authentication, role-based access controls, and application monitoring. Experience working in an Agile environment, using tools such as Jira, and conducting stakeholder demos, user acceptance testing, or user training. Education & Experience: Bachelor's degree in Computer Science, Software Engineering, or a related technical field Demonstrated professional experience delivering full-stack applications and integrations, with ownership of projects or workstreams from requirements through deployment and support.
11/14/2026
Full time
Job Description Top tier financial investment firm seeks an AI Engineer who will lead the design, build, and end-to-end delivery of business-facing AI applications and automation across the Firm. As a member of the AI team within Business Technology, the AI Engineer will work directly with front office Investment Profesionals to understand transaction workflows, translate business needs into technical specifications, and own delivery of practical solutions within the Firm's ecosystem, anticipating issues and managing priorities, resources, and timelines. This is a hands-on, full-stack engineering role combining stakeholder engagement, requirements analysis, software development, testing, deployment, and support. The AI Engineer will also contribute to the Firm's internal AI platform by building and maintaining reusable API integrations, Model Context Protocol (MCP) connectors, and workflow components that securely connect AI applications and agents to approved enterprise systems and data. The AI Engineer will lead day-to-day delivery with a high degree of independence, provide technical guidance and mentoring to junior colleagues, and coordinate with Businesses, Data Science, IT, Information Security, Compliance, and external vendors. Key Responsibilities: Partner with Business to lead requirements gathering and documentation; translate workflows into user stories, technical specifications, and acceptance criteria. Evaluate existing tools before recommending a new build. Lead the design and development of full-stack applications, dashboards, and workflow tools, connecting user interfaces, APIs, databases, and approved AI services to support information synthesis and banker productivity. Own the design, build, testing, and maintenance of secure, reusable API integrations and MCP connectors between the Firm's AI platform and approved enterprise systems, data sources, and third-party services. Lead the development and maintenance of reviewed, configurable templates and reusable components so solutions can be adapted across transactions rather than rebuilt for each deal. Guide AI workflow orchestration and contribute to technical planning. Apply and reinforce engineering best practices, including version control, peer code review, automated testing, secure credential management, logging, and technical documentation. Evaluate AI output quality, reliability, latency, and cost. Lead user acceptance testing, user training, and feedback. Work with IT and engineering on approved deployment, monitoring, support handover, and retirement of temporary deal tools. Partner with Information Security and Compliance to identify and review material changes to solutions or enhancements that warrant additional assessment. Required Skills: Strong hands-on software development expertise in Python and JavaScript or TypeScript , with experience building web interfaces and backend services using frameworks such as React, Next.js, or Django. Demonstrated expertise designing, building, consuming, and troubleshooting APIs and connectors, with familiarity with Model Context Protocol (MCP) desirable. Strong working knowledge of SQL and relational databases Proficiency in Git, testing, debugging, and deployment practices, with the ability to write clear, maintainable, reviewable code. Working knowledge of generative AI architecture and demonstrated experience with large language model integration, including output validation and the limitations of AI-generated results and code. Ability to translate complex business needs into workable technical solutions, exercise sound technical judgment, and explain trade-offs and business objectives clearly to technical and non-technical stakeholders. Strong analytical thinking, organization, documentation, attention to detail, and customer service orientation. Sound judgment when handling confidential information and escalating risks. Intellectual curiosity, adaptability, and the ability to lead projects from start to finish with a high degree of independence, guide junior colleagues, and recognize when to involve senior colleagues on architecture, security, and production readiness. Plusses: Experience with AI-enabled applications, retrieval-augmented generation, agent workflows, or model evaluation. Experience with cloud platforms such as Azure, containers, CI/CD, authentication, role-based access controls, and application monitoring. Experience working in an Agile environment, using tools such as Jira, and conducting stakeholder demos, user acceptance testing, or user training. Education & Experience: Bachelor's degree in Computer Science, Software Engineering, or a related technical field Demonstrated professional experience delivering full-stack applications and integrations, with ownership of projects or workstreams from requirements through deployment and support.
Job Description Role : Data & Solution Architect Location: Fort Collins (Colorado) Onsite Contract Position . Must : Minimum 6 years in data/platform engineering or solution design, including at least 3 years in architecture responsibilities Education : Bachelor's degree in Computer Science, Information Systems, Software Engineering, Information Technology, or related engineering discipline. A master's degree is preferred but not essential. Technical Required Info Snowflake: practical architecture knowledge of warehouses, data layers, secure sharing, transformations, access patterns and performance fundamentals. SQL and data modeling: strong SQL literacy; relational and analytical models; dimensional design, data contracts and enterprise entity models. Data integration: ETL/ELT, batch processing, REST APIs, JSON, orchestration, CDC concepts and event-driven integration patterns. Cloud solution architecture: security boundaries, IAM/access controls, encryption, monitoring, resilience, cost/performance trade-offs and integration with enterprise applications. Enterprise information architecture: master data/identity, catalog, metadata, data quality, lineage, source provenance, permissions and retention. BI and data products: Tableau or equivalent consumption/semantic -layer architecture, certified metrics, data products, trusted services and interoperability. Architecture deliverables: C4/solution context diagrams or equivalent, sequence/data-flow diagrams, design decision records and nonfunctional requirements. Key responsibilities Assess the existing Snowflake-centered data platform, ingestion and transformation paths, customer/partner identity, data products, operational interfaces and reporting consumption. Document current-state architecture and target-state options with context diagrams, source-to-consumption flows, integration inventory, nonfunctional requirements and interface contracts. Evaluate source-faithful acquisition, raw/curated layer separation, data classification, permitted-use metadata, data governance, lineage and retention requirements. Evaluate customer/entity resolution, master data patterns, cross-system identifiers, match confidence and controlled exception management. Assess batch versus event-driven integration, APIs, orchestration, observability, error handling, reconciliation, availability and recovery requirements. Identify dependencies and reusable services for partner activation, customer value, enterprise intelligence and governed AI applications. Coordinate architecture review with onsite Data Architect, security and business stakeholders; document trade-offs, ownership and decisions. Guide feasibility and effort considerations for execution plans without assuming that a specific new platform or vendor must be purchased. Thank you, Bharath M Account Manager Astir IT Solutions, Inc - An E-Verified Company Email: Direct : 50 Cragwood Rd. Suite # 219, South Plainfield, NJ 07080
11/14/2026
Full time
Job Description Role : Data & Solution Architect Location: Fort Collins (Colorado) Onsite Contract Position . Must : Minimum 6 years in data/platform engineering or solution design, including at least 3 years in architecture responsibilities Education : Bachelor's degree in Computer Science, Information Systems, Software Engineering, Information Technology, or related engineering discipline. A master's degree is preferred but not essential. Technical Required Info Snowflake: practical architecture knowledge of warehouses, data layers, secure sharing, transformations, access patterns and performance fundamentals. SQL and data modeling: strong SQL literacy; relational and analytical models; dimensional design, data contracts and enterprise entity models. Data integration: ETL/ELT, batch processing, REST APIs, JSON, orchestration, CDC concepts and event-driven integration patterns. Cloud solution architecture: security boundaries, IAM/access controls, encryption, monitoring, resilience, cost/performance trade-offs and integration with enterprise applications. Enterprise information architecture: master data/identity, catalog, metadata, data quality, lineage, source provenance, permissions and retention. BI and data products: Tableau or equivalent consumption/semantic -layer architecture, certified metrics, data products, trusted services and interoperability. Architecture deliverables: C4/solution context diagrams or equivalent, sequence/data-flow diagrams, design decision records and nonfunctional requirements. Key responsibilities Assess the existing Snowflake-centered data platform, ingestion and transformation paths, customer/partner identity, data products, operational interfaces and reporting consumption. Document current-state architecture and target-state options with context diagrams, source-to-consumption flows, integration inventory, nonfunctional requirements and interface contracts. Evaluate source-faithful acquisition, raw/curated layer separation, data classification, permitted-use metadata, data governance, lineage and retention requirements. Evaluate customer/entity resolution, master data patterns, cross-system identifiers, match confidence and controlled exception management. Assess batch versus event-driven integration, APIs, orchestration, observability, error handling, reconciliation, availability and recovery requirements. Identify dependencies and reusable services for partner activation, customer value, enterprise intelligence and governed AI applications. Coordinate architecture review with onsite Data Architect, security and business stakeholders; document trade-offs, ownership and decisions. Guide feasibility and effort considerations for execution plans without assuming that a specific new platform or vendor must be purchased. Thank you, Bharath M Account Manager Astir IT Solutions, Inc - An E-Verified Company Email: Direct : 50 Cragwood Rd. Suite # 219, South Plainfield, NJ 07080
Intelliswift - An LTTS Company
Bellevue, Washington
Job Description Job Title: Data Scientist IV (Product Analytics & Experimentation) Location: Bellevue, WA Duration: 12 Months (Potential Extensions) We are seeking a Data Scientist to join a team focused on measuring platform performance, identifying growth opportunities, and driving data-informed decision making. In this role, you will partner closely with Product Managers, Engineers, and cross-functional stakeholders to develop key metrics, evaluate experiments, and provide actionable insights that influence product and infrastructure investments. This is an excellent opportunity for a data scientist who thrives at the intersection of analytics, experimentation, and product strategy, and enjoys solving complex problems at scale. Required Skills SQL - Advanced Product Analytics Experimentation & A/B Testing Statistical Analysis Hypothesis Testing Dashboard Development Data Visualization KPI Development Data Storytelling Cross-Functional Collaboration Python (Preferred) Nice-to-Have Experience: Product growth analytics User behavior analysis Performance measurement and reporting Business intelligence and decision support Large-scale data environments Responsibilities Define, develop, and maintain core business and product metrics. Design and analyze online experiments and A/B tests to measure feature and product performance. Build dashboards and reporting solutions that provide visibility into key performance indicators. Perform exploratory data analysis to identify trends, opportunities, and areas for improvement. Partner with Product, Engineering, and Operations teams to understand business challenges and translate them into analytical solutions. Communicate complex analytical findings clearly to both technical and non-technical stakeholders. Develop recommendations based on data insights and influence decision-making across cross-functional teams. Ensure data quality, accuracy, and consistency across reporting and analysis workflows. Minimum Qualifications Bachelor's degree in Statistics, Mathematics, Computer Science, Engineering, Economics, Data Science, or a related quantitative field. 4+ years of experience in Data Science, Product Analytics, Business Analytics, or a related field. Advanced SQL skills with experience querying and analyzing large-scale datasets. Strong experience with experimental design, A/B testing, hypothesis testing, and statistical inference. Experience defining and monitoring product metrics and KPIs. Experience building dashboards and data visualization solutions. Proven ability to communicate insights and recommendations to cross-functional stakeholders. Strong analytical, problem-solving, and critical-thinking skills. Preferred Qualifications Master's degree in a quantitative discipline. Experience using Python for data analysis and statistical modeling. Experience working with large-scale data platforms and distributed datasets. Familiarity with causal inference, experimentation methodologies, and product measurement frameworks. Experience partnering with Product Managers and Engineering teams in a technology or digital product environment.
11/14/2026
Full time
Job Description Job Title: Data Scientist IV (Product Analytics & Experimentation) Location: Bellevue, WA Duration: 12 Months (Potential Extensions) We are seeking a Data Scientist to join a team focused on measuring platform performance, identifying growth opportunities, and driving data-informed decision making. In this role, you will partner closely with Product Managers, Engineers, and cross-functional stakeholders to develop key metrics, evaluate experiments, and provide actionable insights that influence product and infrastructure investments. This is an excellent opportunity for a data scientist who thrives at the intersection of analytics, experimentation, and product strategy, and enjoys solving complex problems at scale. Required Skills SQL - Advanced Product Analytics Experimentation & A/B Testing Statistical Analysis Hypothesis Testing Dashboard Development Data Visualization KPI Development Data Storytelling Cross-Functional Collaboration Python (Preferred) Nice-to-Have Experience: Product growth analytics User behavior analysis Performance measurement and reporting Business intelligence and decision support Large-scale data environments Responsibilities Define, develop, and maintain core business and product metrics. Design and analyze online experiments and A/B tests to measure feature and product performance. Build dashboards and reporting solutions that provide visibility into key performance indicators. Perform exploratory data analysis to identify trends, opportunities, and areas for improvement. Partner with Product, Engineering, and Operations teams to understand business challenges and translate them into analytical solutions. Communicate complex analytical findings clearly to both technical and non-technical stakeholders. Develop recommendations based on data insights and influence decision-making across cross-functional teams. Ensure data quality, accuracy, and consistency across reporting and analysis workflows. Minimum Qualifications Bachelor's degree in Statistics, Mathematics, Computer Science, Engineering, Economics, Data Science, or a related quantitative field. 4+ years of experience in Data Science, Product Analytics, Business Analytics, or a related field. Advanced SQL skills with experience querying and analyzing large-scale datasets. Strong experience with experimental design, A/B testing, hypothesis testing, and statistical inference. Experience defining and monitoring product metrics and KPIs. Experience building dashboards and data visualization solutions. Proven ability to communicate insights and recommendations to cross-functional stakeholders. Strong analytical, problem-solving, and critical-thinking skills. Preferred Qualifications Master's degree in a quantitative discipline. Experience using Python for data analysis and statistical modeling. Experience working with large-scale data platforms and distributed datasets. Familiarity with causal inference, experimentation methodologies, and product measurement frameworks. Experience partnering with Product Managers and Engineering teams in a technology or digital product environment.
