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. Boeing Company is currently seeking an Agile Solutions Manager to support a complex cross-functional program within the Air Dominance organization for program AMH in Berkeley, MO. This role will work across program segments and Integrated Product Teams (IPTs) to coordinate, standardize, and improve Agile execution practices across the program. The Agile Solutions Manager will lead the Agile Steering Committee, with representation from all program segments, and will be responsible for standardizing and leading quarterly Program Increment (PI) planning, aligning sprint execution, and using metrics to inform program execution and decision-making. This position is ideal for a highly motivated, collaborative, and detail-oriented individual who can drive alignment across multiple teams, promote consistency in Agile execution practices, and help teams deliver with greater transparency, predictability, and efficiency. Applicable and appropriate educational/certification credentials from an accredited institution and/or equivalent experience is required. Position Responsibilities: Leads large-scale Agile execution and improvement initiatives across program segments and IPTs Coordinates and standardizes workflows, planning practices, and execution processes across all program segments and teams Chairs and facilitates the Agile Steering Committee, ensuring alignment, engagement, and follow-through across the program Standardizes and leads quarterly PI planning activities across segments and teams Supports sprint alignment, cadence, and integration across multiple teams Partners with program leadership and stakeholders to remove impediments, resolve dependencies, and support program objectives Supports continuous improvement efforts and organizational assessments to identify opportunities to enhance operational and delivery maturity across the program Basic Qualifications (Required Skills/ Experience): Bachelors Degree Active Secret U.S. Security Clearance. (A U.S. Security Clearance that has been active in the past 24 months is considered active.) 10+ years of experience in a role requiring project / program management skills 5+ years of experience working across organizations and cross-functional groups to ensure project coordination, implementation and completion Preferred Qualifications (Desired Skills/Experience): Bachelor of Science degree from an accredited course of study in engineering, engineering technology (includes manufacturing engineering technology), chemistry, physics, mathematics, data science, or computer science Experience leading large-scale Agile standardization efforts across multiple teams or program segments Experience facilitating Agile planning events, sprint activities, and cross-functional coordination Ability to establish and manage partnerships across organizational levels Ability to manage competing priorities and drive alignment in a dynamic environment Demonstrated ability to influence others and build commitment to shared objectives Strong communication, facilitation, and stakeholder management skills Experience with quarterly PI planning in an Agile environment Familiarity with Agile frameworks such as Scrum, Kanban, Lean, or hybrid Agile models Experience using tools such as Jira, Confluence, Azure DevOps, or similar collaboration tools Strong understanding of metrics, delivery flow, execution reporting, and continuous improvement methods Experience supporting large-scale, cross-functional programs Demonstrated ability to support organizational learning, training, and Agile adoption Travel: 10% Drug Free Workplace: Boeing is a Drug Free Workplace (DFW) 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. Conflict of Interest: Successful candidates for this job must satisfy the Company's Conflict of Interest (COI) assessment process. CodeVue Coding Challenge: To be considered for this position you will be required to complete a technical assessment as part of the selection process. Failure to complete the assessment will remove you from consideration. Pay & Benefits: At Boeing, we strive to deliver a Total Rewards package that will attract, engage and retain the top talent. Elements of the Total Rewards package include competitive base pay and variable compensation opportunities. The Boeing Company also provides 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, date of hire, and the applicability of collective bargaining agreements. Pay is based upon candidate experience and qualifications, as well as market and business considerations. Summary Pay Range for Lead level (Level 5): $177,650 - $240,350 Applications for this position will be accepted until Oct. 07, 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 Education Bachelor's Degree or Equivalent Required Relocation This position offers relocation based on candidate eligibility. 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.
09/24/2026
Full time
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. Boeing Company is currently seeking an Agile Solutions Manager to support a complex cross-functional program within the Air Dominance organization for program AMH in Berkeley, MO. This role will work across program segments and Integrated Product Teams (IPTs) to coordinate, standardize, and improve Agile execution practices across the program. The Agile Solutions Manager will lead the Agile Steering Committee, with representation from all program segments, and will be responsible for standardizing and leading quarterly Program Increment (PI) planning, aligning sprint execution, and using metrics to inform program execution and decision-making. This position is ideal for a highly motivated, collaborative, and detail-oriented individual who can drive alignment across multiple teams, promote consistency in Agile execution practices, and help teams deliver with greater transparency, predictability, and efficiency. Applicable and appropriate educational/certification credentials from an accredited institution and/or equivalent experience is required. Position Responsibilities: Leads large-scale Agile execution and improvement initiatives across program segments and IPTs Coordinates and standardizes workflows, planning practices, and execution processes across all program segments and teams Chairs and facilitates the Agile Steering Committee, ensuring alignment, engagement, and follow-through across the program Standardizes and leads quarterly PI planning activities across segments and teams Supports sprint alignment, cadence, and integration across multiple teams Partners with program leadership and stakeholders to remove impediments, resolve dependencies, and support program objectives Supports continuous improvement efforts and organizational assessments to identify opportunities to enhance operational and delivery maturity across the program Basic Qualifications (Required Skills/ Experience): Bachelors Degree Active Secret U.S. Security Clearance. (A U.S. Security Clearance that has been active in the past 24 months is considered active.) 10+ years of experience in a role requiring project / program management skills 5+ years of experience working across organizations and cross-functional groups to ensure project coordination, implementation and completion Preferred Qualifications (Desired Skills/Experience): Bachelor of Science degree from an accredited course of study in engineering, engineering technology (includes manufacturing engineering technology), chemistry, physics, mathematics, data science, or computer science Experience leading large-scale Agile standardization efforts across multiple teams or program segments Experience facilitating Agile planning events, sprint activities, and cross-functional coordination Ability to establish and manage partnerships across organizational levels Ability to manage competing priorities and drive alignment in a dynamic environment Demonstrated ability to influence others and build commitment to shared objectives Strong communication, facilitation, and stakeholder management skills Experience with quarterly PI planning in an Agile environment Familiarity with Agile frameworks such as Scrum, Kanban, Lean, or hybrid Agile models Experience using tools such as Jira, Confluence, Azure DevOps, or similar collaboration tools Strong understanding of metrics, delivery flow, execution reporting, and continuous improvement methods Experience supporting large-scale, cross-functional programs Demonstrated ability to support organizational learning, training, and Agile adoption Travel: 10% Drug Free Workplace: Boeing is a Drug Free Workplace (DFW) 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. Conflict of Interest: Successful candidates for this job must satisfy the Company's Conflict of Interest (COI) assessment process. CodeVue Coding Challenge: To be considered for this position you will be required to complete a technical assessment as part of the selection process. Failure to complete the assessment will remove you from consideration. Pay & Benefits: At Boeing, we strive to deliver a Total Rewards package that will attract, engage and retain the top talent. Elements of the Total Rewards package include competitive base pay and variable compensation opportunities. The Boeing Company also provides 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, date of hire, and the applicability of collective bargaining agreements. Pay is based upon candidate experience and qualifications, as well as market and business considerations. Summary Pay Range for Lead level (Level 5): $177,650 - $240,350 Applications for this position will be accepted until Oct. 07, 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 Education Bachelor's Degree or Equivalent Required Relocation This position offers relocation based on candidate eligibility. 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.
About the Role We are seeking a motivated and skilled Software Engineer to join our API Engineering team. In this role, you will design, develop, test, document, and support REST APIs that power critical business applications, partner integrations, and client-facing services. You will work closely with architects, product managers, quality engineers, and platform teams to build secure, scalable, and reliable APIs using modern software engineering practices. This position is ideal for an engineer who enjoys backend development, systems integration, API design, and solving complex technical challenges. Key Responsibilities API Development Design, develop, and maintain RESTful APIs and backend services. Build reusable components, libraries, and integration services. Ensure APIs meet performance, scalability, reliability, and security requirements. Participate in API versioning, lifecycle management, and backward compatibility planning. Troubleshoot and resolve API and integration issues across development, testing, and production environments. Documentation & Knowledge Sharing Create and maintain comprehensive API and integration documentation, including API specifications, developer guides, authentication and authorization requirements, onboarding materials, operational procedures, troubleshooting guides, and usage examples for internal and external consumers. Document system designs, technical decisions, and implementation approaches. Contribute to knowledge repositories and engineering best practices. Integration & Architecture Develop integrations between internal systems, external partners, and cloud services. Implement API solutions that align with enterprise architecture standards. Contribute to microservices and event-driven integration patterns. Support API gateway onboarding and policy implementation activities. Assist with API modernization and legacy system integration initiatives. Quality Engineering Develop unit, integration, and automated API tests. Participate in peer code reviews and design reviews. Support CI/CD adoption and deployment automation. Identify and address reliability, performance, and maintainability issues. Security & Compliance Implement secure authentication and authorization mechanisms using OAuth 2.0, JWT, and related standards. Follow secure coding practices and enterprise security requirements. Support vulnerability remediation and compliance initiatives. Ensure appropriate logging, monitoring, and auditing capabilities are implemented. Collaboration Participate in Agile/Scrum ceremonies and engineering planning activities. Collaborate with product, architecture, security, operations, and support teams. Communicate technical solutions effectively to technical and non-technical stakeholders. Contribute to continuous improvement of engineering standards and processes. Required Qualifications Education Bachelor's degree in Computer Science, Software Engineering, Information Technology, or a related field, or equivalent practical experience. Experience 3+ years of professional software development experience. 2+ years of experience developing and supporting REST APIs. Experience building backend services using Java, C#, .NET, Spring Boot, or similar technologies. Experience working with distributed applications and service integrations. Experience using Git-based source control and CI/CD platforms. Technical Skills Strong understanding of REST API principles and HTTP protocols. Experience designing and implementing RESTful services and integrations. Experience with JSON, XML, and API integration patterns. Experience with relational databases and SQL. Knowledge of software design patterns and object-oriented programming. Familiarity with API security concepts and best practices including OAuth 2.0 and JWT. Experience with automated testing frameworks and API testing tools. Hands-on experience developing and deploying applications on Microsoft Azure. Experience with Kubernetes and containerized applications using Docker or similar technologies. Understanding of cloud-native application development, deployment, scaling, and operational best practices. Experience with CI/CD pipelines and DevOps practices. Preferred Qualifications Experience with Azure API Management (APIM). Experience with event-driven architectures and messaging platforms such as Azure Service Bus, Event Hubs, Kafka, or RabbitMQ. Experience producing API and technical documentation. Experience with monitoring and observability tools such as Azure Monitor, Application Insights, Splunk, Prometheus, Grafana, or OpenTelemetry. Familiarity with Infrastructure as Code tools such as Terraform, Bicep, or ARM templates. Experience in financial services, fintech, or other regulated industries. What We Value Strong analytical and problem-solving skills. Passion for building high-quality, maintainable software. Attention to detail and commitment to engineering excellence. Strong written and verbal communication skills. Ability to collaborate effectively in a cross-functional environment. Continuous learning mindset and willingness to adopt new technologies. Customer-focused approach to designing and delivering APIs. Ownership mindset with the ability to independently drive tasks to completion. Salary Range: $90,000 - $157,500 Annual The range quoted above applies to the role in the primary location specified. If the candidate would ultimately work outside of the primary location above, the applicable range could differ. Employees are eligible to participate in State Street's comprehensive benefits program, which includes: our retirement savings plan (401K) with company match; insurance coverage including basic life, medical, dental, vision, long-term disability, and other optional additional coverages; paid-time off including vacation, sick leave, short term disability, and family care responsibilities; access to our Employee Assistance Program; incentive compensation including eligibility for annual performance-based awards (excluding certain sales roles subject to sales incentive plans); and, eligibility for certain tax advantaged savings plans. For a full overview, visit . About State Street Across the globe, institutional investors rely on us to help them manage risk, respond to challenges, and drive performance and profitability. We keep our clients at the heart of everything we do, and smart, engaged employees are essential to our continued success. We are committed to fostering an environment where every employee feels valued and empowered to reach their full potential. As an essential partner in our shared success, you'll benefit from inclusive development opportunities, flexible work-life support, paid volunteer days, and vibrant employee networks that keep you connected to what matters most. Join us in shaping the future. As an Equal Opportunity Employer, we consider all qualified applicants for all positions without regard to race, creed, color, religion, national origin, ancestry, ethnicity, age, disability, genetic information, sex, sexual orientation, gender identity or expression, citizenship, marital status, domestic partnership or civil union status, familial status, military and veteran status, and other characteristics protected by applicable law. Discover more information on jobs at Read our CEO Statement Job Application Disclosure: It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.
09/24/2026
Full time
About the Role We are seeking a motivated and skilled Software Engineer to join our API Engineering team. In this role, you will design, develop, test, document, and support REST APIs that power critical business applications, partner integrations, and client-facing services. You will work closely with architects, product managers, quality engineers, and platform teams to build secure, scalable, and reliable APIs using modern software engineering practices. This position is ideal for an engineer who enjoys backend development, systems integration, API design, and solving complex technical challenges. Key Responsibilities API Development Design, develop, and maintain RESTful APIs and backend services. Build reusable components, libraries, and integration services. Ensure APIs meet performance, scalability, reliability, and security requirements. Participate in API versioning, lifecycle management, and backward compatibility planning. Troubleshoot and resolve API and integration issues across development, testing, and production environments. Documentation & Knowledge Sharing Create and maintain comprehensive API and integration documentation, including API specifications, developer guides, authentication and authorization requirements, onboarding materials, operational procedures, troubleshooting guides, and usage examples for internal and external consumers. Document system designs, technical decisions, and implementation approaches. Contribute to knowledge repositories and engineering best practices. Integration & Architecture Develop integrations between internal systems, external partners, and cloud services. Implement API solutions that align with enterprise architecture standards. Contribute to microservices and event-driven integration patterns. Support API gateway onboarding and policy implementation activities. Assist with API modernization and legacy system integration initiatives. Quality Engineering Develop unit, integration, and automated API tests. Participate in peer code reviews and design reviews. Support CI/CD adoption and deployment automation. Identify and address reliability, performance, and maintainability issues. Security & Compliance Implement secure authentication and authorization mechanisms using OAuth 2.0, JWT, and related standards. Follow secure coding practices and enterprise security requirements. Support vulnerability remediation and compliance initiatives. Ensure appropriate logging, monitoring, and auditing capabilities are implemented. Collaboration Participate in Agile/Scrum ceremonies and engineering planning activities. Collaborate with product, architecture, security, operations, and support teams. Communicate technical solutions effectively to technical and non-technical stakeholders. Contribute to continuous improvement of engineering standards and processes. Required Qualifications Education Bachelor's degree in Computer Science, Software Engineering, Information Technology, or a related field, or equivalent practical experience. Experience 3+ years of professional software development experience. 2+ years of experience developing and supporting REST APIs. Experience building backend services using Java, C#, .NET, Spring Boot, or similar technologies. Experience working with distributed applications and service integrations. Experience using Git-based source control and CI/CD platforms. Technical Skills Strong understanding of REST API principles and HTTP protocols. Experience designing and implementing RESTful services and integrations. Experience with JSON, XML, and API integration patterns. Experience with relational databases and SQL. Knowledge of software design patterns and object-oriented programming. Familiarity with API security concepts and best practices including OAuth 2.0 and JWT. Experience with automated testing frameworks and API testing tools. Hands-on experience developing and deploying applications on Microsoft Azure. Experience with Kubernetes and containerized applications using Docker or similar technologies. Understanding of cloud-native application development, deployment, scaling, and operational best practices. Experience with CI/CD pipelines and DevOps practices. Preferred Qualifications Experience with Azure API Management (APIM). Experience with event-driven architectures and messaging platforms such as Azure Service Bus, Event Hubs, Kafka, or RabbitMQ. Experience producing API and technical documentation. Experience with monitoring and observability tools such as Azure Monitor, Application Insights, Splunk, Prometheus, Grafana, or OpenTelemetry. Familiarity with Infrastructure as Code tools such as Terraform, Bicep, or ARM templates. Experience in financial services, fintech, or other regulated industries. What We Value Strong analytical and problem-solving skills. Passion for building high-quality, maintainable software. Attention to detail and commitment to engineering excellence. Strong written and verbal communication skills. Ability to collaborate effectively in a cross-functional environment. Continuous learning mindset and willingness to adopt new technologies. Customer-focused approach to designing and delivering APIs. Ownership mindset with the ability to independently drive tasks to completion. Salary Range: $90,000 - $157,500 Annual The range quoted above applies to the role in the primary location specified. If the candidate would ultimately work outside of the primary location above, the applicable range could differ. Employees are eligible to participate in State Street's comprehensive benefits program, which includes: our retirement savings plan (401K) with company match; insurance coverage including basic life, medical, dental, vision, long-term disability, and other optional additional coverages; paid-time off including vacation, sick leave, short term disability, and family care responsibilities; access to our Employee Assistance Program; incentive compensation including eligibility for annual performance-based awards (excluding certain sales roles subject to sales incentive plans); and, eligibility for certain tax advantaged savings plans. For a full overview, visit . About State Street Across the globe, institutional investors rely on us to help them manage risk, respond to challenges, and drive performance and profitability. We keep our clients at the heart of everything we do, and smart, engaged employees are essential to our continued success. We are committed to fostering an environment where every employee feels valued and empowered to reach their full potential. As an essential partner in our shared success, you'll benefit from inclusive development opportunities, flexible work-life support, paid volunteer days, and vibrant employee networks that keep you connected to what matters most. Join us in shaping the future. As an Equal Opportunity Employer, we consider all qualified applicants for all positions without regard to race, creed, color, religion, national origin, ancestry, ethnicity, age, disability, genetic information, sex, sexual orientation, gender identity or expression, citizenship, marital status, domestic partnership or civil union status, familial status, military and veteran status, and other characteristics protected by applicable law. Discover more information on jobs at Read our CEO Statement Job Application Disclosure: It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.
About the Role We are seeking an enthusiastic and motivated Junior Software Engineer to join our API Engineering team. In this role, you will help design, develop, test, document, and support REST APIs that power business applications, partner integrations, and client-facing services. You will work closely with senior engineers, architects, product managers, quality engineers, and platform teams to learn and apply modern software engineering practices while contributing to secure, scalable, and reliable APIs. This position is ideal for an early-career engineer who is eager to grow in backend development, systems integration, and API design, and who enjoys solving technical problems in a collaborative, mentorship-driven environment. Key Responsibilities API Development Assist in designing, developing, and maintaining RESTful APIs and backend services under the guidance of senior engineers. Build and maintain reusable components, libraries, and integration services. Help ensure APIs meet performance, reliability, and security requirements. Learn and apply API versioning and lifecycle management practices. Troubleshoot and help resolve API and integration issues across development and testing environments, escalating complex issues as needed. Documentation & Knowledge Sharing Create and maintain clear API and integration documentation, including API specifications, developer guides, and usage examples. Document technical work, implementation notes, and lessons learned. Contribute to team knowledge repositories and engineering best practices. Integration & Architecture Support the development of integrations between internal systems, external partners, and cloud services. Follow enterprise architecture standards when implementing API solutions. Learn and contribute to microservices and event-driven integration patterns. Assist with API gateway onboarding and basic policy implementation tasks. Quality Engineering Write unit, integration, and automated API tests with guidance from senior team members. Participate in peer code reviews and design reviews to learn team standards. Support CI/CD pipeline usage and basic deployment automation tasks. Help identify reliability, performance, and maintainability issues. Security & Compliance Learn and apply secure authentication and authorization mechanisms such as OAuth 2.0 and JWT. Follow secure coding practices and enterprise security requirements. Support vulnerability remediation activities as directed. Help ensure appropriate logging and monitoring is implemented in the services you build. Collaboration Actively participate in Agile/Scrum ceremonies and engineering planning activities. Collaborate with product, architecture, security, and operations teams. Communicate progress, questions, and technical ideas clearly to teammates and mentors. Seek feedback and apply it to continuously improve technical skills. Required Qualifications Education Bachelor's degree in Computer Science, Software Engineering, Information Technology, or a related field (or equivalent practical experience, including internships, bootcamps, or personal projects). Experience 0-2 years of professional software development experience (internships, co-ops, and academic projects are valued). Some exposure to building or consuming REST APIs, through coursework, internships, or personal projects. Familiarity with at least one backend language/framework such as Java, C#, .NET, or Spring Boot. Basic experience with Git-based source control. Technical Skills Basic understanding of REST API principles and HTTP protocols. Familiarity with JSON and API integration concepts. Basic understanding of relational databases and SQL. Foundational knowledge of software design patterns and object-oriented programming. Willingness to learn API security concepts, including OAuth 2.0 and JWT. Exposure to automated testing frameworks (unit testing) is a plus. Interest in or coursework experience with cloud platforms such as Microsoft Azure. Curiosity about containerization technologies such as Docker and Kubernetes. Eagerness to learn CI/CD pipelines and DevOps practices. Preferred Qualifications Coursework, certifications, or personal projects involving Microsoft Azure. Exposure to messaging or event-driven concepts (e.g., Kafka, RabbitMQ, Azure Service Bus). Experience writing basic technical documentation. Familiarity with monitoring/logging concepts. Internship or academic experience in financial services, fintech, or other regulated industries. What We Value Strong desire to learn and grow as a software engineer. Analytical and problem-solving mindset. Attention to detail and commitment to writing quality code. Strong written and verbal communication skills. Ability to collaborate effectively and accept mentorship in a team environment. Growth mindset and willingness to adopt new technologies. Ownership mindset with the ability to drive assigned tasks to completion with support. Core Technologies REST APIs (foundational) Java, Spring Boot, C#, or .NET Git SQL Databases Basic OAuth 2.0 / JWT concepts Nice to Have Technologies Microsoft Azure Docker / Kubernetes (exposure) CI/CD Pipelines Kafka or similar messaging platforms Desired Traits Strong foundational engineering skills Eagerness to learn cloud-native development Security-aware mindset Good communication and documentation habits Ability to work effectively in Agile teams with mentorship Passion for building reliable software and growing into a stronger engineer Role Summary This job description is aligned for an entry-level/junior engineer joining an Azure-based REST API platform team. The role emphasizes hands-on learning, mentorship, and gradual ownership of API development, integrations, testing, documentation, and cloud-native application delivery under the guidance of senior engineers. Salary Range: $70,000 - $118,750 Annual The range quoted above applies to the role in the primary location specified. If the candidate would ultimately work outside of the primary location above, the applicable range could differ. Employees are eligible to participate in State Street's comprehensive benefits program, which includes: our retirement savings plan (401K) with company match; insurance coverage including basic life, medical, dental, vision, long-term disability, and other optional additional coverages; paid-time off including vacation, sick leave, short term disability, and family care responsibilities; access to our Employee Assistance Program; incentive compensation including eligibility for annual performance-based awards (excluding certain sales roles subject to sales incentive plans); and, eligibility for certain tax advantaged savings plans. For a full overview, visit . About State Street Across the globe, institutional investors rely on us to help them manage risk, respond to challenges, and drive performance and profitability. We keep our clients at the heart of everything we do, and smart, engaged employees are essential to our continued success. We are committed to fostering an environment where every employee feels valued and empowered to reach their full potential. As an essential partner in our shared success, you'll benefit from inclusive development opportunities, flexible work-life support, paid volunteer days, and vibrant employee networks that keep you connected to what matters most. Join us in shaping the future. As an Equal Opportunity Employer, we consider all qualified applicants for all positions without regard to race, creed, color, religion, national origin, ancestry, ethnicity, age, disability, genetic information, sex, sexual orientation, gender identity or expression, citizenship, marital status, domestic partnership or civil union status, familial status, military and veteran status, and other characteristics protected by applicable law. Discover more information on jobs at Read our CEO Statement Job Application Disclosure: It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.
09/24/2026
Full time
About the Role We are seeking an enthusiastic and motivated Junior Software Engineer to join our API Engineering team. In this role, you will help design, develop, test, document, and support REST APIs that power business applications, partner integrations, and client-facing services. You will work closely with senior engineers, architects, product managers, quality engineers, and platform teams to learn and apply modern software engineering practices while contributing to secure, scalable, and reliable APIs. This position is ideal for an early-career engineer who is eager to grow in backend development, systems integration, and API design, and who enjoys solving technical problems in a collaborative, mentorship-driven environment. Key Responsibilities API Development Assist in designing, developing, and maintaining RESTful APIs and backend services under the guidance of senior engineers. Build and maintain reusable components, libraries, and integration services. Help ensure APIs meet performance, reliability, and security requirements. Learn and apply API versioning and lifecycle management practices. Troubleshoot and help resolve API and integration issues across development and testing environments, escalating complex issues as needed. Documentation & Knowledge Sharing Create and maintain clear API and integration documentation, including API specifications, developer guides, and usage examples. Document technical work, implementation notes, and lessons learned. Contribute to team knowledge repositories and engineering best practices. Integration & Architecture Support the development of integrations between internal systems, external partners, and cloud services. Follow enterprise architecture standards when implementing API solutions. Learn and contribute to microservices and event-driven integration patterns. Assist with API gateway onboarding and basic policy implementation tasks. Quality Engineering Write unit, integration, and automated API tests with guidance from senior team members. Participate in peer code reviews and design reviews to learn team standards. Support CI/CD pipeline usage and basic deployment automation tasks. Help identify reliability, performance, and maintainability issues. Security & Compliance Learn and apply secure authentication and authorization mechanisms such as OAuth 2.0 and JWT. Follow secure coding practices and enterprise security requirements. Support vulnerability remediation activities as directed. Help ensure appropriate logging and monitoring is implemented in the services you build. Collaboration Actively participate in Agile/Scrum ceremonies and engineering planning activities. Collaborate with product, architecture, security, and operations teams. Communicate progress, questions, and technical ideas clearly to teammates and mentors. Seek feedback and apply it to continuously improve technical skills. Required Qualifications Education Bachelor's degree in Computer Science, Software Engineering, Information Technology, or a related field (or equivalent practical experience, including internships, bootcamps, or personal projects). Experience 0-2 years of professional software development experience (internships, co-ops, and academic projects are valued). Some exposure to building or consuming REST APIs, through coursework, internships, or personal projects. Familiarity with at least one backend language/framework such as Java, C#, .NET, or Spring Boot. Basic experience with Git-based source control. Technical Skills Basic understanding of REST API principles and HTTP protocols. Familiarity with JSON and API integration concepts. Basic understanding of relational databases and SQL. Foundational knowledge of software design patterns and object-oriented programming. Willingness to learn API security concepts, including OAuth 2.0 and JWT. Exposure to automated testing frameworks (unit testing) is a plus. Interest in or coursework experience with cloud platforms such as Microsoft Azure. Curiosity about containerization technologies such as Docker and Kubernetes. Eagerness to learn CI/CD pipelines and DevOps practices. Preferred Qualifications Coursework, certifications, or personal projects involving Microsoft Azure. Exposure to messaging or event-driven concepts (e.g., Kafka, RabbitMQ, Azure Service Bus). Experience writing basic technical documentation. Familiarity with monitoring/logging concepts. Internship or academic experience in financial services, fintech, or other regulated industries. What We Value Strong desire to learn and grow as a software engineer. Analytical and problem-solving mindset. Attention to detail and commitment to writing quality code. Strong written and verbal communication skills. Ability to collaborate effectively and accept mentorship in a team environment. Growth mindset and willingness to adopt new technologies. Ownership mindset with the ability to drive assigned tasks to completion with support. Core Technologies REST APIs (foundational) Java, Spring Boot, C#, or .NET Git SQL Databases Basic OAuth 2.0 / JWT concepts Nice to Have Technologies Microsoft Azure Docker / Kubernetes (exposure) CI/CD Pipelines Kafka or similar messaging platforms Desired Traits Strong foundational engineering skills Eagerness to learn cloud-native development Security-aware mindset Good communication and documentation habits Ability to work effectively in Agile teams with mentorship Passion for building reliable software and growing into a stronger engineer Role Summary This job description is aligned for an entry-level/junior engineer joining an Azure-based REST API platform team. The role emphasizes hands-on learning, mentorship, and gradual ownership of API development, integrations, testing, documentation, and cloud-native application delivery under the guidance of senior engineers. Salary Range: $70,000 - $118,750 Annual The range quoted above applies to the role in the primary location specified. If the candidate would ultimately work outside of the primary location above, the applicable range could differ. Employees are eligible to participate in State Street's comprehensive benefits program, which includes: our retirement savings plan (401K) with company match; insurance coverage including basic life, medical, dental, vision, long-term disability, and other optional additional coverages; paid-time off including vacation, sick leave, short term disability, and family care responsibilities; access to our Employee Assistance Program; incentive compensation including eligibility for annual performance-based awards (excluding certain sales roles subject to sales incentive plans); and, eligibility for certain tax advantaged savings plans. For a full overview, visit . About State Street Across the globe, institutional investors rely on us to help them manage risk, respond to challenges, and drive performance and profitability. We keep our clients at the heart of everything we do, and smart, engaged employees are essential to our continued success. We are committed to fostering an environment where every employee feels valued and empowered to reach their full potential. As an essential partner in our shared success, you'll benefit from inclusive development opportunities, flexible work-life support, paid volunteer days, and vibrant employee networks that keep you connected to what matters most. Join us in shaping the future. As an Equal Opportunity Employer, we consider all qualified applicants for all positions without regard to race, creed, color, religion, national origin, ancestry, ethnicity, age, disability, genetic information, sex, sexual orientation, gender identity or expression, citizenship, marital status, domestic partnership or civil union status, familial status, military and veteran status, and other characteristics protected by applicable law. Discover more information on jobs at Read our CEO Statement Job Application Disclosure: It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.
Owns moderately complex components within Compute/Imaging platform services; leads team-level improvements to integration frameworks and developer tooling. Performs deep debugging across a bounded set of Operating System, Infrastructure Orchestration, distributed services, driving fixes that protect downstream consumers and upgrade paths. Analyzes usage, performance, and error budgets for specific platform surfaces; implements targeted resilience and capacity optimizations. Authors and curates team-scoped documentation, samples, and adoption guidance. Designs, implements, and optimizes components in distributed systems with an emphasis on scalability, resiliency, and operability. Delivers features and load/performance tests; leverages data plane platforms and distributed state tools for high-volume retrieval, storage, and processing; and reviews peers' implementations for scalability compliance. Builds fault-tolerant paths (redundancy, replication, automatic failover), applies recovery oriented principles, and implements retries, circuit breakers, and timeouts. Proactively detects and mitigates issues via tests, alarms, dashboards, and telemetry; authors runbooks and participates in incident response and RCAs. Implements standard replication and synchronization, develops automation/IaC for troubleshooting and maintenance, and applies advanced security controls (encryption, access, remediation) while ensuring change, compliance, and documentation standards are met. Responsibilities Key Responsibilities Platform Software Development: Own a bounded Compute/Imaging platform component (service module area) and evolve its contracts for multi-tenant use. Perform deep debugging across a limited-service graph; drive compatibility-safe remediation plans. Implement targeted resilience/capacity patterns and document adoption guidance for team consumers. Software Development and Coding - Design, Testing, and Optimization: Designs software solutions and analyzes and helps identify requirements to achieve business and operational goals, independently. Adheres to and suggests improvements to all phases of the software development lifecycle. Utilizes working knowledge to develop new software features and enhancements following design specifications and develops documents to clarify software design and code. Leads code reviews in designated areas to help drive improvements. Conducts debugging and troubleshooting to identify and fix moderately complex software issues. Develops fixes for identified issues. Implements software testing (e.g., functional and non-functional testing), quality assurance processes, software error logging, monitoring, and observability for effective debugging, ensuring review by manager and/or lead throughout the process. Exercises judgment and discretion to conduct performance profiling and optimization of coding. Troubleshoots and resolves moderately complex issues related to application programming interface (API) functionality and integration. Implements moderately complex API versioning, lifecycle, and interoperability strategies. Software Architecture - Software System Structural Design: Designs and develops software, systems, and services aligned to pre-defined system architecture. Develops working knowledge of software architecture decisions and best practices. Collaborates with team leads to review work to ensure alignment with software architecture. Implements moderately complex performance optimization and scalability strategies in software design. Issue/Defect Collaboration - Software Products Support: Collaborates within and beyond immediate team to understand customer issues and align solutions. May provide technical guidance and support to customers regarding customer-reported issues, independently. Coaches, mentors, and guides others to advocate for customers' interests and suggests product enhancements based on feedback. Influences team to ensure customer satisfaction through timely resolution of issues and effective communication. Implements customer issue and/or defect handling and training processes, independently. Investigates and troubleshoots complex product maintenance issues to ensure customer agreement on short- and long-term solutions (e.g., future enhancements). Practices and Standards Compliance - Security and Compliance: Collaborates with the team to establish and follow development practices and coding standards. Exercises judgment and discretion to ensure code quality and adherence to broad acceptance criteria during development. Keeps up to date with industry best practices and applies them to software development processes. Implements secure coding practices to prevent security vulnerabilities. Development Operations - System Maintenance: Performs periodic maintenance and testing operations for systems that require upgrading or patching (e.g., for critical vulnerabilities). Exercises judgment and discretion to drive improvements, ensure automation, testing, and debugging of systems to ensure service/product availability, health, support, and reliability. Participate in Teams Oncall Rotations to provide reactive support for team's service area for critical incidents recovery. Core Responsibilities Planning & Execution: Independently manages work, monitoring timelines and deliverables to ensure projects or initiatives stay on track and meet requirements. Proactively prioritizes work and adapts to resource or timeline shifts, suggesting adjustments to maintain project efficiency. Collaboration & Partnership: Collaborates across teams to align on expectations and achieve shared objectives. Builds and maintains a comprehensive understanding of business, stakeholder, and/or customer needs to build and support effective partnerships. Actively listens to diverse perspectives and asks questions to ensure understanding of others. Problem Solving: Independently identifies and addresses standard and non-standard issues in accordance with standard practices, escalating more complex issues as appropriate. Analyzes data and/or information from multiple sources to troubleshoot standard and non-standard errors. Contributes to knowledge sharing and best practices. Continuous Learning: Embraces continuous learning by actively seeking to build knowledge and new skills and/or tools and staying current with industry trends and best practices. Seeks out and leverages feedback and training to improve skills. Contributes to a culture of continuous learning and knowledge sharing with team members. Continuous Improvement: Develops ideas and recommends updates to increase the efficiency and effectiveness of processes, protocols, and workflows within a team. Seeks input from team members on alternative approaches and methods for improving work. Requirements 5+ years' experience delivering and operating large scale, highly available distributed systems. Strong knowledge and interest in AI adoption including prompt engineering and agentic programming, with ChatGPT and Codex experience a plus. Strong knowledge of a base language such as Java, with a preference for functional programming language such as Scala. Strong knowledge of data structures, algorithms, operating systems, and distributed systems fundamentals. Experience with tools such as Terraform for Infrastructure as Code. Deep knowledge with networking protocols (TCP/IP, HTTP) and network architectures. Ability to design, troubleshoot and maintain networking infrastructure for high throughput use cases. Strong understanding of databases, storage, and distributed persistence technologies. Strong troubleshooting and performance tuning skills. Experience building multi-tenant, virtualized infrastructure a strong plus. Qualifications Disclaimer: Certain U.S. based or U.S. customer or client-facing roles may be required to comply with applicable requirements, such as immunization/occupational health mandates, and/or drug testing requirements. Range and benefit information provided in this posting are specific to the stated locations only US: Hiring Range in USD from: $92,500 to $209,500 per annum. May be eligible for bonus and equity. Oracle maintains broad salary ranges for its roles in order to account for variations in knowledge, skills, experience, market conditions and locations, as well as reflect Oracle's differing products, industries and lines of business. Candidates are typically placed into the range based on the preceding factors as well as internal peer equity. Oracle US offers a comprehensive benefits package which includes the following: 1. Medical, dental, and vision insurance, including expert medical opinion 2. Short term disability and long term disability 3. Life insurance and AD&D 4. Supplemental life insurance (Employee/Spouse/Child) 5. Health care and dependent care Flexible Spending Accounts 6. Pre-tax commuter and parking benefits 7. 401(k) Savings and Investment Plan with company match 8. Paid time off: Flexible Vacation is provided to all eligible employees assigned to a salaried (non-overtime eligible) position. Accrued Vacation is provided to all other employees eligible for vacation benefits. For employees working at least 35 hours per week . click apply for full job details
09/24/2026
Full time
Owns moderately complex components within Compute/Imaging platform services; leads team-level improvements to integration frameworks and developer tooling. Performs deep debugging across a bounded set of Operating System, Infrastructure Orchestration, distributed services, driving fixes that protect downstream consumers and upgrade paths. Analyzes usage, performance, and error budgets for specific platform surfaces; implements targeted resilience and capacity optimizations. Authors and curates team-scoped documentation, samples, and adoption guidance. Designs, implements, and optimizes components in distributed systems with an emphasis on scalability, resiliency, and operability. Delivers features and load/performance tests; leverages data plane platforms and distributed state tools for high-volume retrieval, storage, and processing; and reviews peers' implementations for scalability compliance. Builds fault-tolerant paths (redundancy, replication, automatic failover), applies recovery oriented principles, and implements retries, circuit breakers, and timeouts. Proactively detects and mitigates issues via tests, alarms, dashboards, and telemetry; authors runbooks and participates in incident response and RCAs. Implements standard replication and synchronization, develops automation/IaC for troubleshooting and maintenance, and applies advanced security controls (encryption, access, remediation) while ensuring change, compliance, and documentation standards are met. Responsibilities Key Responsibilities Platform Software Development: Own a bounded Compute/Imaging platform component (service module area) and evolve its contracts for multi-tenant use. Perform deep debugging across a limited-service graph; drive compatibility-safe remediation plans. Implement targeted resilience/capacity patterns and document adoption guidance for team consumers. Software Development and Coding - Design, Testing, and Optimization: Designs software solutions and analyzes and helps identify requirements to achieve business and operational goals, independently. Adheres to and suggests improvements to all phases of the software development lifecycle. Utilizes working knowledge to develop new software features and enhancements following design specifications and develops documents to clarify software design and code. Leads code reviews in designated areas to help drive improvements. Conducts debugging and troubleshooting to identify and fix moderately complex software issues. Develops fixes for identified issues. Implements software testing (e.g., functional and non-functional testing), quality assurance processes, software error logging, monitoring, and observability for effective debugging, ensuring review by manager and/or lead throughout the process. Exercises judgment and discretion to conduct performance profiling and optimization of coding. Troubleshoots and resolves moderately complex issues related to application programming interface (API) functionality and integration. Implements moderately complex API versioning, lifecycle, and interoperability strategies. Software Architecture - Software System Structural Design: Designs and develops software, systems, and services aligned to pre-defined system architecture. Develops working knowledge of software architecture decisions and best practices. Collaborates with team leads to review work to ensure alignment with software architecture. Implements moderately complex performance optimization and scalability strategies in software design. Issue/Defect Collaboration - Software Products Support: Collaborates within and beyond immediate team to understand customer issues and align solutions. May provide technical guidance and support to customers regarding customer-reported issues, independently. Coaches, mentors, and guides others to advocate for customers' interests and suggests product enhancements based on feedback. Influences team to ensure customer satisfaction through timely resolution of issues and effective communication. Implements customer issue and/or defect handling and training processes, independently. Investigates and troubleshoots complex product maintenance issues to ensure customer agreement on short- and long-term solutions (e.g., future enhancements). Practices and Standards Compliance - Security and Compliance: Collaborates with the team to establish and follow development practices and coding standards. Exercises judgment and discretion to ensure code quality and adherence to broad acceptance criteria during development. Keeps up to date with industry best practices and applies them to software development processes. Implements secure coding practices to prevent security vulnerabilities. Development Operations - System Maintenance: Performs periodic maintenance and testing operations for systems that require upgrading or patching (e.g., for critical vulnerabilities). Exercises judgment and discretion to drive improvements, ensure automation, testing, and debugging of systems to ensure service/product availability, health, support, and reliability. Participate in Teams Oncall Rotations to provide reactive support for team's service area for critical incidents recovery. Core Responsibilities Planning & Execution: Independently manages work, monitoring timelines and deliverables to ensure projects or initiatives stay on track and meet requirements. Proactively prioritizes work and adapts to resource or timeline shifts, suggesting adjustments to maintain project efficiency. Collaboration & Partnership: Collaborates across teams to align on expectations and achieve shared objectives. Builds and maintains a comprehensive understanding of business, stakeholder, and/or customer needs to build and support effective partnerships. Actively listens to diverse perspectives and asks questions to ensure understanding of others. Problem Solving: Independently identifies and addresses standard and non-standard issues in accordance with standard practices, escalating more complex issues as appropriate. Analyzes data and/or information from multiple sources to troubleshoot standard and non-standard errors. Contributes to knowledge sharing and best practices. Continuous Learning: Embraces continuous learning by actively seeking to build knowledge and new skills and/or tools and staying current with industry trends and best practices. Seeks out and leverages feedback and training to improve skills. Contributes to a culture of continuous learning and knowledge sharing with team members. Continuous Improvement: Develops ideas and recommends updates to increase the efficiency and effectiveness of processes, protocols, and workflows within a team. Seeks input from team members on alternative approaches and methods for improving work. Requirements 5+ years' experience delivering and operating large scale, highly available distributed systems. Strong knowledge and interest in AI adoption including prompt engineering and agentic programming, with ChatGPT and Codex experience a plus. Strong knowledge of a base language such as Java, with a preference for functional programming language such as Scala. Strong knowledge of data structures, algorithms, operating systems, and distributed systems fundamentals. Experience with tools such as Terraform for Infrastructure as Code. Deep knowledge with networking protocols (TCP/IP, HTTP) and network architectures. Ability to design, troubleshoot and maintain networking infrastructure for high throughput use cases. Strong understanding of databases, storage, and distributed persistence technologies. Strong troubleshooting and performance tuning skills. Experience building multi-tenant, virtualized infrastructure a strong plus. Qualifications Disclaimer: Certain U.S. based or U.S. customer or client-facing roles may be required to comply with applicable requirements, such as immunization/occupational health mandates, and/or drug testing requirements. Range and benefit information provided in this posting are specific to the stated locations only US: Hiring Range in USD from: $92,500 to $209,500 per annum. May be eligible for bonus and equity. Oracle maintains broad salary ranges for its roles in order to account for variations in knowledge, skills, experience, market conditions and locations, as well as reflect Oracle's differing products, industries and lines of business. Candidates are typically placed into the range based on the preceding factors as well as internal peer equity. Oracle US offers a comprehensive benefits package which includes the following: 1. Medical, dental, and vision insurance, including expert medical opinion 2. Short term disability and long term disability 3. Life insurance and AD&D 4. Supplemental life insurance (Employee/Spouse/Child) 5. Health care and dependent care Flexible Spending Accounts 6. Pre-tax commuter and parking benefits 7. 401(k) Savings and Investment Plan with company match 8. Paid time off: Flexible Vacation is provided to all eligible employees assigned to a salaried (non-overtime eligible) position. Accrued Vacation is provided to all other employees eligible for vacation benefits. For employees working at least 35 hours per week . click apply for full job details
At EY, we're all in to shape your future with confidence. We'll help you succeed in a globally connected powerhouse of diverse teams and take your career wherever you want it to go. Join EY and help to build a better working world. The opportunity The Talent Advanced Analytics Lead is responsible for shaping and delivering the organization's next-generation Talent Intelligence and Advanced Analytics strategy. This role combines executive leadership advisory, advanced analytics, AI innovation, talent intelligence, and data product delivery to enable leaders to make faster, more informed decisions to unlock value and drive business impact. The role serves as a strategic advisor to global Talent, Function, Service Line, and Sector leaders by transforming talent, business, operational, and external market data into actionable intelligence. The individual will lead the development of scalable analytics products, AI-powered insights, and agentic solutions that enhance planning, skills intelligence, talent mobility, employee experience, productivity, and organizational effectiveness. Essential Functions: Talent Intelligence Strategy & Executive Advisory Partner with Global Talent Leadership, Function Talent Leaders, Service Line Leaders, and Planning leaders to define and execute the Talent Intelligence strategy. Act as a trusted advisor to executive stakeholders, translating complex workforce trends into strategic recommendations and actionable decisions. Drive data-informed decision making across planning, skills transformation, workforce evolution, talent acquisition, retention, learning, talent mobility, and succession planning, etc. Deliver executive-ready narratives that combine quantitative insights with business context and future workforce implications. Influence enterprise talent priorities through predictive and prescriptive analytics. Advanced Analytics & AI Solutions Lead the development of advanced analytics models to identify workforce risks, forecast talent demand, predict workforce trends, and uncover opportunities to improve organizational performance. Design and deploy AI-powered talent intelligence solutions using machine learning, Generative AI, natural language processing, knowledge graphs, and predictive modelling techniques. Establish scalable approaches for skills intelligence, workforce segmentation, talent forecasting, organizational network analysis, and workforce optimization. Define methodologies that combine internal talent data with external labour market intelligence and economic indicators. Continuously evaluate emerging technologies and analytics techniques to advance talent decision science capabilities. Generative AI, Copilot & Agentic Solutions Lead development of AI-enabled experiences using Data Bricks, Microsoft Fabric, Power BI, Microsoft Copilot, Copilot Studio, Azure AI, enterprise GenAI platforms and machine learning, and intelligent automation capabilities. Design and implement intelligent agents that automate talent insights generation, workforce analytics, executive insights, and decision support processes. Build conversational analytics experiences that enable leaders to interact with talent data through natural language. Establish governance, explainability, responsible AI, and adoption practices for AI-powered talent solutions. Partner with technology teams to integrate agentic workflows into Talent operating models and business processes. Drive experimentation and innovation through AI use cases that unlock measurable business value. Data Products & Platform Leadership Own the vision, roadmap, and lifecycle management of Talent analytics products and self-service insight solutions. Lead development of enterprise Talent data products designed for broad organizational consumption. Establish product management disciplines, user-centric design practices, and adoption strategies across Talent Intelligence initiatives. Drive the transition from static reporting toward intelligent, scalable, reusable analytics products. Identify opportunities to industrialize analytics capabilities and increase insight accessibility across stakeholder groups. Enable scalable analytics architecture supporting structured and unstructured talent data. Collaborate with Data Engineering and Technology teams to optimize data quality, governance, lineage, accessibility, and security. Drive modernization of the talent analytics ecosystem through cloud-native analytics capabilities. Insights, Storytelling & Executive Communications Transform analytical outputs into compelling executive narratives and strategic workforce recommendations. Create executive dashboards and insight products that simplify complex workforce information. Develop thought leadership that shapes future Talent Intelligence capabilities and workforce decision-making practices. Present findings confidently to executive talent leaders and senior business stakeholders. Drive adoption of analytics by making insights easily understandable, relevant, and actionable. Leadership & Capability Development Lead and develop a high-performing team of data scientists, workforce strategists, analytics consultants, AI practitioners, and product managers. Establish talent intelligence standards, methodologies, and governance frameworks. Foster a culture of innovation, experimentation, continuous learning, and responsible AI usage. Build organizational capabilities in analytics, AI literacy, data storytelling, and product thinking. Manage delivery across global, offshore, vendor, and managed-service teams where applicable. Analytical/Decision Making Responsibilities: Determine strategic priorities for Talent Intelligence and Advanced Analytics programs. Prioritize investments and resource allocation across analytics, AI, and data product portfolios. Define and monitor key workforce intelligence metrics and success measures. Evaluate emerging workforce trends, technologies, and market developments to influence strategic direction. Balance innovation investments with operational scalability, governance, and business value realization. Ensure responsible and ethical use of workforce data and AI solutions. Knowledge and Skills Requirements: Strategic & Business Skills Deep understanding of Talent Intelligence, Planning, Talent Analytics, Workforce Evolution and Talent Strategy. Strong consulting, stakeholder management, and executive influence capabilities. Ability to align talent analytics outcomes with broader business objectives. Strong commercial acumen and understanding of organizational transformation. Analytics & Data Science Skills Advanced statistical analysis and predictive modelling, Machine Learning and AI solution design, Experimental design and causal inference methodologies, Skills intelligence and talent marketplace analytics, Expertise in data storytelling and executive reporting. AI & Emerging Technology Skills Generative AI solutions design and implementation, Microsoft Copilot ecosystem expertise, Copilot Studio and conversational AI development, Agentic AI architecture and orchestration, Retrieval-Augmented Generation (RAG) patterns, Prompt engineering and AI governance, Responsible AI and model explainability, Knowledge management and semantic search solutions. Data & Technology Skills Data Bricks, Microsoft Fabric, Power BI and advanced visualization. SQL and advanced data modelling. Microsoft Copilot, Copilot Studio, Azure AI, Enterprise GenAI platforms and Machine Learning Python and R, Modern cloud analytics architectures. API and data integration concepts, Data governance and metadata management. Leadership Competencies Executive presence, Strategic thinking, Innovation mindset, Change leadership. Product-centric thinking, Collaboration across global teams, Enterprise influence and stakeholder engagement. Ability to cope with ambiguity; to drive change and performance outcomes in a complex and agile environment. Supervision Responsibilities: Work closely with the Leads across Global Talent and wider Talent Functions to ensure the provision of services that support business and functional delivery. Lead / manage a team of expert data analytics specialists responsible for functional execution, also build skills and capabilities of the team. Develop AI capabilities, define key AI competencies for the team, and ensure provision of learning to advance skills Independently maintain and leverage (when appropriate) an internal network, including effective partnerships with senior stakeholders, across EY practices / functions that will enable personal effectiveness in the position. Other Requirements: Due to global nature of the role; travel and willingness to work alternative hours will be required. Due to global nature of the role; English language skills - excellent written and verbal communication will be required. Job Requirements: Education: Bachelor's degree in data science, Analytics, Statistics, Computer Science, Economics, Business Analytics, Organizational Psychology, Industrial Engineering, Human Resources, or related discipline. . click apply for full job details
09/24/2026
Full time
At EY, we're all in to shape your future with confidence. We'll help you succeed in a globally connected powerhouse of diverse teams and take your career wherever you want it to go. Join EY and help to build a better working world. The opportunity The Talent Advanced Analytics Lead is responsible for shaping and delivering the organization's next-generation Talent Intelligence and Advanced Analytics strategy. This role combines executive leadership advisory, advanced analytics, AI innovation, talent intelligence, and data product delivery to enable leaders to make faster, more informed decisions to unlock value and drive business impact. The role serves as a strategic advisor to global Talent, Function, Service Line, and Sector leaders by transforming talent, business, operational, and external market data into actionable intelligence. The individual will lead the development of scalable analytics products, AI-powered insights, and agentic solutions that enhance planning, skills intelligence, talent mobility, employee experience, productivity, and organizational effectiveness. Essential Functions: Talent Intelligence Strategy & Executive Advisory Partner with Global Talent Leadership, Function Talent Leaders, Service Line Leaders, and Planning leaders to define and execute the Talent Intelligence strategy. Act as a trusted advisor to executive stakeholders, translating complex workforce trends into strategic recommendations and actionable decisions. Drive data-informed decision making across planning, skills transformation, workforce evolution, talent acquisition, retention, learning, talent mobility, and succession planning, etc. Deliver executive-ready narratives that combine quantitative insights with business context and future workforce implications. Influence enterprise talent priorities through predictive and prescriptive analytics. Advanced Analytics & AI Solutions Lead the development of advanced analytics models to identify workforce risks, forecast talent demand, predict workforce trends, and uncover opportunities to improve organizational performance. Design and deploy AI-powered talent intelligence solutions using machine learning, Generative AI, natural language processing, knowledge graphs, and predictive modelling techniques. Establish scalable approaches for skills intelligence, workforce segmentation, talent forecasting, organizational network analysis, and workforce optimization. Define methodologies that combine internal talent data with external labour market intelligence and economic indicators. Continuously evaluate emerging technologies and analytics techniques to advance talent decision science capabilities. Generative AI, Copilot & Agentic Solutions Lead development of AI-enabled experiences using Data Bricks, Microsoft Fabric, Power BI, Microsoft Copilot, Copilot Studio, Azure AI, enterprise GenAI platforms and machine learning, and intelligent automation capabilities. Design and implement intelligent agents that automate talent insights generation, workforce analytics, executive insights, and decision support processes. Build conversational analytics experiences that enable leaders to interact with talent data through natural language. Establish governance, explainability, responsible AI, and adoption practices for AI-powered talent solutions. Partner with technology teams to integrate agentic workflows into Talent operating models and business processes. Drive experimentation and innovation through AI use cases that unlock measurable business value. Data Products & Platform Leadership Own the vision, roadmap, and lifecycle management of Talent analytics products and self-service insight solutions. Lead development of enterprise Talent data products designed for broad organizational consumption. Establish product management disciplines, user-centric design practices, and adoption strategies across Talent Intelligence initiatives. Drive the transition from static reporting toward intelligent, scalable, reusable analytics products. Identify opportunities to industrialize analytics capabilities and increase insight accessibility across stakeholder groups. Enable scalable analytics architecture supporting structured and unstructured talent data. Collaborate with Data Engineering and Technology teams to optimize data quality, governance, lineage, accessibility, and security. Drive modernization of the talent analytics ecosystem through cloud-native analytics capabilities. Insights, Storytelling & Executive Communications Transform analytical outputs into compelling executive narratives and strategic workforce recommendations. Create executive dashboards and insight products that simplify complex workforce information. Develop thought leadership that shapes future Talent Intelligence capabilities and workforce decision-making practices. Present findings confidently to executive talent leaders and senior business stakeholders. Drive adoption of analytics by making insights easily understandable, relevant, and actionable. Leadership & Capability Development Lead and develop a high-performing team of data scientists, workforce strategists, analytics consultants, AI practitioners, and product managers. Establish talent intelligence standards, methodologies, and governance frameworks. Foster a culture of innovation, experimentation, continuous learning, and responsible AI usage. Build organizational capabilities in analytics, AI literacy, data storytelling, and product thinking. Manage delivery across global, offshore, vendor, and managed-service teams where applicable. Analytical/Decision Making Responsibilities: Determine strategic priorities for Talent Intelligence and Advanced Analytics programs. Prioritize investments and resource allocation across analytics, AI, and data product portfolios. Define and monitor key workforce intelligence metrics and success measures. Evaluate emerging workforce trends, technologies, and market developments to influence strategic direction. Balance innovation investments with operational scalability, governance, and business value realization. Ensure responsible and ethical use of workforce data and AI solutions. Knowledge and Skills Requirements: Strategic & Business Skills Deep understanding of Talent Intelligence, Planning, Talent Analytics, Workforce Evolution and Talent Strategy. Strong consulting, stakeholder management, and executive influence capabilities. Ability to align talent analytics outcomes with broader business objectives. Strong commercial acumen and understanding of organizational transformation. Analytics & Data Science Skills Advanced statistical analysis and predictive modelling, Machine Learning and AI solution design, Experimental design and causal inference methodologies, Skills intelligence and talent marketplace analytics, Expertise in data storytelling and executive reporting. AI & Emerging Technology Skills Generative AI solutions design and implementation, Microsoft Copilot ecosystem expertise, Copilot Studio and conversational AI development, Agentic AI architecture and orchestration, Retrieval-Augmented Generation (RAG) patterns, Prompt engineering and AI governance, Responsible AI and model explainability, Knowledge management and semantic search solutions. Data & Technology Skills Data Bricks, Microsoft Fabric, Power BI and advanced visualization. SQL and advanced data modelling. Microsoft Copilot, Copilot Studio, Azure AI, Enterprise GenAI platforms and Machine Learning Python and R, Modern cloud analytics architectures. API and data integration concepts, Data governance and metadata management. Leadership Competencies Executive presence, Strategic thinking, Innovation mindset, Change leadership. Product-centric thinking, Collaboration across global teams, Enterprise influence and stakeholder engagement. Ability to cope with ambiguity; to drive change and performance outcomes in a complex and agile environment. Supervision Responsibilities: Work closely with the Leads across Global Talent and wider Talent Functions to ensure the provision of services that support business and functional delivery. Lead / manage a team of expert data analytics specialists responsible for functional execution, also build skills and capabilities of the team. Develop AI capabilities, define key AI competencies for the team, and ensure provision of learning to advance skills Independently maintain and leverage (when appropriate) an internal network, including effective partnerships with senior stakeholders, across EY practices / functions that will enable personal effectiveness in the position. Other Requirements: Due to global nature of the role; travel and willingness to work alternative hours will be required. Due to global nature of the role; English language skills - excellent written and verbal communication will be required. Job Requirements: Education: Bachelor's degree in data science, Analytics, Statistics, Computer Science, Economics, Business Analytics, Organizational Psychology, Industrial Engineering, Human Resources, or related discipline. . click apply for full job details
Req ID: 378685 NTT DATA strives to hire exceptional, innovative and passionate individuals who want to grow with us. If you want to be part of an inclusive, adaptable, and forward-thinking organization, apply now. We are currently seeking a Networking Advisor to join our team in Plano, Texas (US-TX), United States (US). This is a hybrid role, on-site at our client site several days per week. Only local candidates will be considered. The Disaster Recovery (DR) Specialist is responsible for leading the organization's disaster recovery and IT resilience program to ensure business continuity during system outages, cyber incidents, natural disasters, or other disruptive events. This role oversees the development, implementation, testing, and continuous improvement of disaster recovery strategies, recovery plans, and operational readiness across critical business and technology environments. The DR Manager collaborates with infrastructure, cybersecurity, cloud, application, network, and business stakeholders to establish recovery objectives, coordinate recovery exercises, manage crisis response activities, and ensure compliance with regulatory and organizational requirements. The role also provides leadership during disaster recovery events and drives continuous enhancement of recovery capabilities, governance, and resilience standards. The ideal candidate possesses strong expertise in disaster recovery planning, business continuity management, infrastructure operations, risk management, and stakeholder coordination, along with the ability to lead cross-functional teams in high-pressure situations. Basic Qualifications: 5+ years of Disaster Recovery/Risk Management Experience Additional Skills: Applied knowledge of risk management concepts Strong knowledge of systems and network administration (i.e., desktop, server) Knowledge and application of Globally Accepted Information Security Principles Strong knowledge of network security that pertains to communications, computer system environments and related infrastructures Thorough knowledge of server and desktop configurations that will protect systems from unauthorized access and software invasion Preferred: CISSP, GIAC, SSCP or CEH NTT DATA provides a reasonable range of compensation for U.S.-based positions. The starting pay range for this role is $87,720 - $131,580. Actual compensation will depend on a number of factors, including the candidate's relevant experience, technical skills, and other qualifications. This position may also be eligible for incentive compensation based on individual and/or company performance. This position is eligible for company benefits including medical, dental, and vision insurance with an employer contribution, flexible spending or health savings account, life and AD&D insurance, short and long term disability coverage, paid time off, employee assistance, participation in a 401k program with company match, and additional voluntary or legally-required benefits. About NTT DATA NTT DATA is a $30 billion business and technology services leader, serving 75% of the Fortune Global 100. We are committed to accelerating client success and positively impacting society through responsible innovation. We are one of the world's leading AI and digital infrastructure providers, with unmatched capabilities in enterprise-scale AI, cloud, security, connectivity, data centers and application services. our consulting and Industry solutions help organizations and society move confidently and sustainably into the digital future. As a Global Top Employer, we have experts in more than 50 countries. We also offer clients access to a robust ecosystem of innovation centers as well as established and start-up partners. NTT DATA is a part of NTT Group, which invests over $3 billion each year in R&D. Whenever possible, we hire locally to NTT DATA offices or client sites. This ensures we can provide timely and effective support tailored to each client's needs. While many positions offer remote or hybrid work options, these arrangements are subject to change based on client requirements. For employees near an NTT DATA office or client site, in-office attendance may be required for meetings or events, depending on business needs. At NTT DATA, we are committed to staying flexible and meeting the evolving needs of both our clients and employees. NTT DATA recruiters will never ask for payment or banking information and will only email addresses. If you are requested to provide payment or disclose banking information, please submit a contact us form, NTT DATA endeavors to make accessible to any and all users. If you would like to contact us regarding the accessibility of our website or need assistance completing the application process, please contact us at This contact information is for accommodation requests only and cannot be used to inquire about the status of applications. NTT DATA 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 or protected veteran status. For our EEO Policy Statement, please click here. If you'd like more information on your EEO rights under the law, please click here. For Pay Transparency information, please click here.
09/24/2026
Full time
Req ID: 378685 NTT DATA strives to hire exceptional, innovative and passionate individuals who want to grow with us. If you want to be part of an inclusive, adaptable, and forward-thinking organization, apply now. We are currently seeking a Networking Advisor to join our team in Plano, Texas (US-TX), United States (US). This is a hybrid role, on-site at our client site several days per week. Only local candidates will be considered. The Disaster Recovery (DR) Specialist is responsible for leading the organization's disaster recovery and IT resilience program to ensure business continuity during system outages, cyber incidents, natural disasters, or other disruptive events. This role oversees the development, implementation, testing, and continuous improvement of disaster recovery strategies, recovery plans, and operational readiness across critical business and technology environments. The DR Manager collaborates with infrastructure, cybersecurity, cloud, application, network, and business stakeholders to establish recovery objectives, coordinate recovery exercises, manage crisis response activities, and ensure compliance with regulatory and organizational requirements. The role also provides leadership during disaster recovery events and drives continuous enhancement of recovery capabilities, governance, and resilience standards. The ideal candidate possesses strong expertise in disaster recovery planning, business continuity management, infrastructure operations, risk management, and stakeholder coordination, along with the ability to lead cross-functional teams in high-pressure situations. Basic Qualifications: 5+ years of Disaster Recovery/Risk Management Experience Additional Skills: Applied knowledge of risk management concepts Strong knowledge of systems and network administration (i.e., desktop, server) Knowledge and application of Globally Accepted Information Security Principles Strong knowledge of network security that pertains to communications, computer system environments and related infrastructures Thorough knowledge of server and desktop configurations that will protect systems from unauthorized access and software invasion Preferred: CISSP, GIAC, SSCP or CEH NTT DATA provides a reasonable range of compensation for U.S.-based positions. The starting pay range for this role is $87,720 - $131,580. Actual compensation will depend on a number of factors, including the candidate's relevant experience, technical skills, and other qualifications. This position may also be eligible for incentive compensation based on individual and/or company performance. This position is eligible for company benefits including medical, dental, and vision insurance with an employer contribution, flexible spending or health savings account, life and AD&D insurance, short and long term disability coverage, paid time off, employee assistance, participation in a 401k program with company match, and additional voluntary or legally-required benefits. About NTT DATA NTT DATA is a $30 billion business and technology services leader, serving 75% of the Fortune Global 100. We are committed to accelerating client success and positively impacting society through responsible innovation. We are one of the world's leading AI and digital infrastructure providers, with unmatched capabilities in enterprise-scale AI, cloud, security, connectivity, data centers and application services. our consulting and Industry solutions help organizations and society move confidently and sustainably into the digital future. As a Global Top Employer, we have experts in more than 50 countries. We also offer clients access to a robust ecosystem of innovation centers as well as established and start-up partners. NTT DATA is a part of NTT Group, which invests over $3 billion each year in R&D. Whenever possible, we hire locally to NTT DATA offices or client sites. This ensures we can provide timely and effective support tailored to each client's needs. While many positions offer remote or hybrid work options, these arrangements are subject to change based on client requirements. For employees near an NTT DATA office or client site, in-office attendance may be required for meetings or events, depending on business needs. At NTT DATA, we are committed to staying flexible and meeting the evolving needs of both our clients and employees. NTT DATA recruiters will never ask for payment or banking information and will only email addresses. If you are requested to provide payment or disclose banking information, please submit a contact us form, NTT DATA endeavors to make accessible to any and all users. If you would like to contact us regarding the accessibility of our website or need assistance completing the application process, please contact us at This contact information is for accommodation requests only and cannot be used to inquire about the status of applications. NTT DATA 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 or protected veteran status. For our EEO Policy Statement, please click here. If you'd like more information on your EEO rights under the law, please click here. For Pay Transparency information, please click here.
Manages team delivering scalable distributed systems and components on a 2-4 quarter horizon. Standardizes engineering practices and scalability requirements across teams; oversees optimization for high throughput, hyper scale workloads; and ensures effective use of distributed state tools and data plane platforms. Guides teams to design fault tolerant, in service upgradable systems, set SLO aligned durability/availability targets, and implement resiliency mechanisms (load shedding, throttling, rate limiting). Provides oversight for KPIs, telemetry, and moderately complex dashboards; directs design of functional/correctness requirements, fault injection tests, and replication/synchronization strategies. Ensures proactive incident management, operational readiness, and on call coverage; drives encryption/access control practices, remediation plans, and compliance documentation. Oversees development and maintenance of automation/IaC and partners with teams on change management plans enabling safe patching, updates, and rollbacks. Responsibilities Key Responsibilities System Design & Architecture - System Scalability: Manages the development and implementation of scalable distributed systems and components across multiple teams, including the effective use of distributed state management tools. Oversees code and/or system optimization efforts for large-scale data processing and high-throughput requirements within and across teams to support hyper-scale systems. Guides teams to define scalability requirements for owned components and ensures design and implementation requirements are met. Manages the use of data plane platforms to effectively handle large-scale data retrieval, storage, and processing. Ensures team accurately designs performance and load testing. System Design & Architecture - System Reliability Design: Manages the strategy for building fault-tolerant components and systems capable of withstanding in-service updates by guiding the implementation of redundancy, replication, and automatic failover mechanisms. Develops design strategies for systems to effectively handle service disruptions (e.g., network partitions) by prioritizing consistency, availability, or partition tolerance. Leads implementation and optimization initiatives across teams for approaches to handle network unreliability, including load-shedding, throttling, and rate-limiting. Guides teams to design components and systems that are durable and adhere to service level objectives (SLOs), setting expectations for availability and durability of other computing services within the department. System Design & Architecture - System Reliability Performance: Provides oversight in defining key performance indicators (KPIs) and telemetry to identify gaps or issues in running systems. Oversees the building and customization of moderately complex dashboards, telemetry systems, and alerting mechanisms to proactively monitor components and system health. System Design & Architecture - Correctness / Availability: Oversees the design and implementation of functional and correctness requirements for feature sets and/or systems in new or existing systems. Guides teams to design complex test scenarios (e.g., fault-injection, brown-out) to evaluate system correctness. Directs implementation strategies for data replication and synchronization techniques to maintain data integrity and availability. Operational Troubleshooting & Incident Management: Guides teams to be proactive when diagnosing, debugging, and resolving issues in active components and systems to support ongoing operation. Ensures teams leverage expertise to prevent interruptions, ensuring no maintenance windows are required for customers and users when resolving issues. Oversees operational readiness protocol and ensures teams remain knowledgeable of owned components and systems to support effective troubleshooting and performance. Oversees and approves schedules for operational support rotations. Compliance & Security: Oversees implementation of robust security measures to protect data and applications in multi-tenant environments, ensuring team strategies incorporate encryption techniques and access controls. Directs execution of remediation plans to address identified security gaps, promoting continuous improvement of security measures. Ensures comprehensive documentation and cloud infrastructure compliance with industry standards and regulations. Automation & Change Management: Oversees the development and maintenance of automation scripts and tools (e.g., Infrastructure as Code (IaC to manage cloud infrastructure. Works with teams to create and adhere to change management plans for patching, updating, and rolling back applications, and guides development of components to allow for automation of these processes. Core Responsibilities Planning & Execution: Manages multiple medium- to large-scale projects or initiatives across teams, ensuring timelines, deliverables, and budgets (when applicable) are monitored and met. Provides direction to teams on project work, setting priorities, and aligning with business needs. Guides teams on adjusting plans to accommodate resource or timeline changes. Collaboration & Partnership: Drives cross-functional partnerships to align on expectations and shared objectives across multiple teams. Coaches team members to develop strategic relationships with business leaders, stakeholders, and external partners to foster collaboration and long-term success. Promotes inclusivity by actively seeking and listening to diverse perspectives, ensuring others feel heard and respected. Problem Solving: Provides direction to multiple teams on addressing complex operational and/or technical issues, as well as guidance on analyzing complex data and/or information to identify solutions. Reviews and provides insights into unresolved or critical issues, helping teams to identify potential solutions. Continuous Learning: Models engaging in continuous learning to deepen expertise and stay ahead of industry trends, integrating best practices into strategic planning. Leverages feedback to drive personal and team skill improvements. Identifies skill gaps across teams and empowers team members to pursue learning and knowledge-sharing opportunities that build their expertise in new areas, coaching them to apply learnings to advance the organization. Continuous Improvement: Drives teams to collaborate on, develop, and implement ideas to increase the efficiency and effectiveness of processes, protocols, and workflows within and across teams, providing oversight. Guides teams to adopt new ideas for alternative approaches and methods and encourages feedback for continued improvement. Performance and Development: Drives performance across teams by providing feedback and coaching in alignment with performance management processes, guidelines, and expectations. Discusses development goals with team members, shares opportunities to facilitate career development, and ensures individual goals are aligned with broader organizational goals. Develops and manages talent acquisition pipeline by leading candidate interviews, monitoring promotion eligibility, and/or orchestrating talent resources. Minimum Job Qualifications Education and/or Experience: •9 years of experience in software development OR •Bachelor's of Technology (B.Tech) Degree in Computer Science, Computer Engineering, Software Engineering, Electrical/Electronics Engineering, Computer Information Systems, Information Systems, Information Technology, Telecommunications, Mathematics, Physics, or related field AND 5 years of experience in software development OR •Bachelor's Degree in Computer Science, Computer Engineering, Software Engineering, Electrical/Electronics Engineering, Computer Information Systems, Information Systems, Information Technology, Telecommunications, Mathematics, Physics, or related field AND 5 years of experience in software development OR •Master's of Technology (M.Tech) Degree in Computer Science, Computer Engineering, Software Engineering, Electrical/Electronics Engineering, Computer Information Systems, Information Systems, Information Technology, Telecommunications, Mathematics, Physics, or related field AND 3 years of experience in software development OR •Master's Degree in Computer Science, Computer Engineering, Software Engineering, Electrical/Electronics Engineering, Computer Information Systems, Information Systems, Information Technology, Telecommunications, Mathematics, Physics, or related field AND 3 years of experience in software development OR •Doctorate in Computer Science, Computer Engineering, Software Engineering, Electrical/Electronics Engineering, Computer Information Systems, Information Systems, Information Technology, Telecommunications, Mathematics, Physics, or related field AND 1 year of experience in software development. Job Skills: Same skills as prior level, plus: •Agile Methodologies: Demonstrated ability to use agile methodologies to drive continuous improvement and product delivery. •Automation: Demonstrated ability in or knowledge of automation, including designing, implementing . click apply for full job details
09/24/2026
Full time
Manages team delivering scalable distributed systems and components on a 2-4 quarter horizon. Standardizes engineering practices and scalability requirements across teams; oversees optimization for high throughput, hyper scale workloads; and ensures effective use of distributed state tools and data plane platforms. Guides teams to design fault tolerant, in service upgradable systems, set SLO aligned durability/availability targets, and implement resiliency mechanisms (load shedding, throttling, rate limiting). Provides oversight for KPIs, telemetry, and moderately complex dashboards; directs design of functional/correctness requirements, fault injection tests, and replication/synchronization strategies. Ensures proactive incident management, operational readiness, and on call coverage; drives encryption/access control practices, remediation plans, and compliance documentation. Oversees development and maintenance of automation/IaC and partners with teams on change management plans enabling safe patching, updates, and rollbacks. Responsibilities Key Responsibilities System Design & Architecture - System Scalability: Manages the development and implementation of scalable distributed systems and components across multiple teams, including the effective use of distributed state management tools. Oversees code and/or system optimization efforts for large-scale data processing and high-throughput requirements within and across teams to support hyper-scale systems. Guides teams to define scalability requirements for owned components and ensures design and implementation requirements are met. Manages the use of data plane platforms to effectively handle large-scale data retrieval, storage, and processing. Ensures team accurately designs performance and load testing. System Design & Architecture - System Reliability Design: Manages the strategy for building fault-tolerant components and systems capable of withstanding in-service updates by guiding the implementation of redundancy, replication, and automatic failover mechanisms. Develops design strategies for systems to effectively handle service disruptions (e.g., network partitions) by prioritizing consistency, availability, or partition tolerance. Leads implementation and optimization initiatives across teams for approaches to handle network unreliability, including load-shedding, throttling, and rate-limiting. Guides teams to design components and systems that are durable and adhere to service level objectives (SLOs), setting expectations for availability and durability of other computing services within the department. System Design & Architecture - System Reliability Performance: Provides oversight in defining key performance indicators (KPIs) and telemetry to identify gaps or issues in running systems. Oversees the building and customization of moderately complex dashboards, telemetry systems, and alerting mechanisms to proactively monitor components and system health. System Design & Architecture - Correctness / Availability: Oversees the design and implementation of functional and correctness requirements for feature sets and/or systems in new or existing systems. Guides teams to design complex test scenarios (e.g., fault-injection, brown-out) to evaluate system correctness. Directs implementation strategies for data replication and synchronization techniques to maintain data integrity and availability. Operational Troubleshooting & Incident Management: Guides teams to be proactive when diagnosing, debugging, and resolving issues in active components and systems to support ongoing operation. Ensures teams leverage expertise to prevent interruptions, ensuring no maintenance windows are required for customers and users when resolving issues. Oversees operational readiness protocol and ensures teams remain knowledgeable of owned components and systems to support effective troubleshooting and performance. Oversees and approves schedules for operational support rotations. Compliance & Security: Oversees implementation of robust security measures to protect data and applications in multi-tenant environments, ensuring team strategies incorporate encryption techniques and access controls. Directs execution of remediation plans to address identified security gaps, promoting continuous improvement of security measures. Ensures comprehensive documentation and cloud infrastructure compliance with industry standards and regulations. Automation & Change Management: Oversees the development and maintenance of automation scripts and tools (e.g., Infrastructure as Code (IaC to manage cloud infrastructure. Works with teams to create and adhere to change management plans for patching, updating, and rolling back applications, and guides development of components to allow for automation of these processes. Core Responsibilities Planning & Execution: Manages multiple medium- to large-scale projects or initiatives across teams, ensuring timelines, deliverables, and budgets (when applicable) are monitored and met. Provides direction to teams on project work, setting priorities, and aligning with business needs. Guides teams on adjusting plans to accommodate resource or timeline changes. Collaboration & Partnership: Drives cross-functional partnerships to align on expectations and shared objectives across multiple teams. Coaches team members to develop strategic relationships with business leaders, stakeholders, and external partners to foster collaboration and long-term success. Promotes inclusivity by actively seeking and listening to diverse perspectives, ensuring others feel heard and respected. Problem Solving: Provides direction to multiple teams on addressing complex operational and/or technical issues, as well as guidance on analyzing complex data and/or information to identify solutions. Reviews and provides insights into unresolved or critical issues, helping teams to identify potential solutions. Continuous Learning: Models engaging in continuous learning to deepen expertise and stay ahead of industry trends, integrating best practices into strategic planning. Leverages feedback to drive personal and team skill improvements. Identifies skill gaps across teams and empowers team members to pursue learning and knowledge-sharing opportunities that build their expertise in new areas, coaching them to apply learnings to advance the organization. Continuous Improvement: Drives teams to collaborate on, develop, and implement ideas to increase the efficiency and effectiveness of processes, protocols, and workflows within and across teams, providing oversight. Guides teams to adopt new ideas for alternative approaches and methods and encourages feedback for continued improvement. Performance and Development: Drives performance across teams by providing feedback and coaching in alignment with performance management processes, guidelines, and expectations. Discusses development goals with team members, shares opportunities to facilitate career development, and ensures individual goals are aligned with broader organizational goals. Develops and manages talent acquisition pipeline by leading candidate interviews, monitoring promotion eligibility, and/or orchestrating talent resources. Minimum Job Qualifications Education and/or Experience: •9 years of experience in software development OR •Bachelor's of Technology (B.Tech) Degree in Computer Science, Computer Engineering, Software Engineering, Electrical/Electronics Engineering, Computer Information Systems, Information Systems, Information Technology, Telecommunications, Mathematics, Physics, or related field AND 5 years of experience in software development OR •Bachelor's Degree in Computer Science, Computer Engineering, Software Engineering, Electrical/Electronics Engineering, Computer Information Systems, Information Systems, Information Technology, Telecommunications, Mathematics, Physics, or related field AND 5 years of experience in software development OR •Master's of Technology (M.Tech) Degree in Computer Science, Computer Engineering, Software Engineering, Electrical/Electronics Engineering, Computer Information Systems, Information Systems, Information Technology, Telecommunications, Mathematics, Physics, or related field AND 3 years of experience in software development OR •Master's Degree in Computer Science, Computer Engineering, Software Engineering, Electrical/Electronics Engineering, Computer Information Systems, Information Systems, Information Technology, Telecommunications, Mathematics, Physics, or related field AND 3 years of experience in software development OR •Doctorate in Computer Science, Computer Engineering, Software Engineering, Electrical/Electronics Engineering, Computer Information Systems, Information Systems, Information Technology, Telecommunications, Mathematics, Physics, or related field AND 1 year of experience in software development. Job Skills: Same skills as prior level, plus: •Agile Methodologies: Demonstrated ability to use agile methodologies to drive continuous improvement and product delivery. •Automation: Demonstrated ability in or knowledge of automation, including designing, implementing . click apply for full job details
At EY, we're all in to shape your future with confidence. We'll help you succeed in a globally connected powerhouse of diverse teams and take your career wherever you want it to go. Join EY and help to build a better working world. The opportunity The Talent Advanced Analytics Lead is responsible for shaping and delivering the organization's next-generation Talent Intelligence and Advanced Analytics strategy. This role combines executive leadership advisory, advanced analytics, AI innovation, talent intelligence, and data product delivery to enable leaders to make faster, more informed decisions to unlock value and drive business impact. The role serves as a strategic advisor to global Talent, Function, Service Line, and Sector leaders by transforming talent, business, operational, and external market data into actionable intelligence. The individual will lead the development of scalable analytics products, AI-powered insights, and agentic solutions that enhance planning, skills intelligence, talent mobility, employee experience, productivity, and organizational effectiveness. Essential Functions: Talent Intelligence Strategy & Executive Advisory Partner with Global Talent Leadership, Function Talent Leaders, Service Line Leaders, and Planning leaders to define and execute the Talent Intelligence strategy. Act as a trusted advisor to executive stakeholders, translating complex workforce trends into strategic recommendations and actionable decisions. Drive data-informed decision making across planning, skills transformation, workforce evolution, talent acquisition, retention, learning, talent mobility, and succession planning, etc. Deliver executive-ready narratives that combine quantitative insights with business context and future workforce implications. Influence enterprise talent priorities through predictive and prescriptive analytics. Advanced Analytics & AI Solutions Lead the development of advanced analytics models to identify workforce risks, forecast talent demand, predict workforce trends, and uncover opportunities to improve organizational performance. Design and deploy AI-powered talent intelligence solutions using machine learning, Generative AI, natural language processing, knowledge graphs, and predictive modelling techniques. Establish scalable approaches for skills intelligence, workforce segmentation, talent forecasting, organizational network analysis, and workforce optimization. Define methodologies that combine internal talent data with external labour market intelligence and economic indicators. Continuously evaluate emerging technologies and analytics techniques to advance talent decision science capabilities. Generative AI, Copilot & Agentic Solutions Lead development of AI-enabled experiences using Data Bricks, Microsoft Fabric, Power BI, Microsoft Copilot, Copilot Studio, Azure AI, enterprise GenAI platforms and machine learning, and intelligent automation capabilities. Design and implement intelligent agents that automate talent insights generation, workforce analytics, executive insights, and decision support processes. Build conversational analytics experiences that enable leaders to interact with talent data through natural language. Establish governance, explainability, responsible AI, and adoption practices for AI-powered talent solutions. Partner with technology teams to integrate agentic workflows into Talent operating models and business processes. Drive experimentation and innovation through AI use cases that unlock measurable business value. Data Products & Platform Leadership Own the vision, roadmap, and lifecycle management of Talent analytics products and self-service insight solutions. Lead development of enterprise Talent data products designed for broad organizational consumption. Establish product management disciplines, user-centric design practices, and adoption strategies across Talent Intelligence initiatives. Drive the transition from static reporting toward intelligent, scalable, reusable analytics products. Identify opportunities to industrialize analytics capabilities and increase insight accessibility across stakeholder groups. Enable scalable analytics architecture supporting structured and unstructured talent data. Collaborate with Data Engineering and Technology teams to optimize data quality, governance, lineage, accessibility, and security. Drive modernization of the talent analytics ecosystem through cloud-native analytics capabilities. Insights, Storytelling & Executive Communications Transform analytical outputs into compelling executive narratives and strategic workforce recommendations. Create executive dashboards and insight products that simplify complex workforce information. Develop thought leadership that shapes future Talent Intelligence capabilities and workforce decision-making practices. Present findings confidently to executive talent leaders and senior business stakeholders. Drive adoption of analytics by making insights easily understandable, relevant, and actionable. Leadership & Capability Development Lead and develop a high-performing team of data scientists, workforce strategists, analytics consultants, AI practitioners, and product managers. Establish talent intelligence standards, methodologies, and governance frameworks. Foster a culture of innovation, experimentation, continuous learning, and responsible AI usage. Build organizational capabilities in analytics, AI literacy, data storytelling, and product thinking. Manage delivery across global, offshore, vendor, and managed-service teams where applicable. Analytical/Decision Making Responsibilities: Determine strategic priorities for Talent Intelligence and Advanced Analytics programs. Prioritize investments and resource allocation across analytics, AI, and data product portfolios. Define and monitor key workforce intelligence metrics and success measures. Evaluate emerging workforce trends, technologies, and market developments to influence strategic direction. Balance innovation investments with operational scalability, governance, and business value realization. Ensure responsible and ethical use of workforce data and AI solutions. Knowledge and Skills Requirements: Strategic & Business Skills Deep understanding of Talent Intelligence, Planning, Talent Analytics, Workforce Evolution and Talent Strategy. Strong consulting, stakeholder management, and executive influence capabilities. Ability to align talent analytics outcomes with broader business objectives. Strong commercial acumen and understanding of organizational transformation. Analytics & Data Science Skills Advanced statistical analysis and predictive modelling, Machine Learning and AI solution design, Experimental design and causal inference methodologies, Skills intelligence and talent marketplace analytics, Expertise in data storytelling and executive reporting. AI & Emerging Technology Skills Generative AI solutions design and implementation, Microsoft Copilot ecosystem expertise, Copilot Studio and conversational AI development, Agentic AI architecture and orchestration, Retrieval-Augmented Generation (RAG) patterns, Prompt engineering and AI governance, Responsible AI and model explainability, Knowledge management and semantic search solutions. Data & Technology Skills Data Bricks, Microsoft Fabric, Power BI and advanced visualization. SQL and advanced data modelling. Microsoft Copilot, Copilot Studio, Azure AI, Enterprise GenAI platforms and Machine Learning Python and R, Modern cloud analytics architectures. API and data integration concepts, Data governance and metadata management. Leadership Competencies Executive presence, Strategic thinking, Innovation mindset, Change leadership. Product-centric thinking, Collaboration across global teams, Enterprise influence and stakeholder engagement. Ability to cope with ambiguity; to drive change and performance outcomes in a complex and agile environment. Supervision Responsibilities: Work closely with the Leads across Global Talent and wider Talent Functions to ensure the provision of services that support business and functional delivery. Lead / manage a team of expert data analytics specialists responsible for functional execution, also build skills and capabilities of the team. Develop AI capabilities, define key AI competencies for the team, and ensure provision of learning to advance skills Independently maintain and leverage (when appropriate) an internal network, including effective partnerships with senior stakeholders, across EY practices / functions that will enable personal effectiveness in the position. Other Requirements: Due to global nature of the role; travel and willingness to work alternative hours will be required. Due to global nature of the role; English language skills - excellent written and verbal communication will be required. Job Requirements: Education: Bachelor's degree in data science, Analytics, Statistics, Computer Science, Economics, Business Analytics, Organizational Psychology, Industrial Engineering, Human Resources, or related discipline. . click apply for full job details
09/24/2026
Full time
At EY, we're all in to shape your future with confidence. We'll help you succeed in a globally connected powerhouse of diverse teams and take your career wherever you want it to go. Join EY and help to build a better working world. The opportunity The Talent Advanced Analytics Lead is responsible for shaping and delivering the organization's next-generation Talent Intelligence and Advanced Analytics strategy. This role combines executive leadership advisory, advanced analytics, AI innovation, talent intelligence, and data product delivery to enable leaders to make faster, more informed decisions to unlock value and drive business impact. The role serves as a strategic advisor to global Talent, Function, Service Line, and Sector leaders by transforming talent, business, operational, and external market data into actionable intelligence. The individual will lead the development of scalable analytics products, AI-powered insights, and agentic solutions that enhance planning, skills intelligence, talent mobility, employee experience, productivity, and organizational effectiveness. Essential Functions: Talent Intelligence Strategy & Executive Advisory Partner with Global Talent Leadership, Function Talent Leaders, Service Line Leaders, and Planning leaders to define and execute the Talent Intelligence strategy. Act as a trusted advisor to executive stakeholders, translating complex workforce trends into strategic recommendations and actionable decisions. Drive data-informed decision making across planning, skills transformation, workforce evolution, talent acquisition, retention, learning, talent mobility, and succession planning, etc. Deliver executive-ready narratives that combine quantitative insights with business context and future workforce implications. Influence enterprise talent priorities through predictive and prescriptive analytics. Advanced Analytics & AI Solutions Lead the development of advanced analytics models to identify workforce risks, forecast talent demand, predict workforce trends, and uncover opportunities to improve organizational performance. Design and deploy AI-powered talent intelligence solutions using machine learning, Generative AI, natural language processing, knowledge graphs, and predictive modelling techniques. Establish scalable approaches for skills intelligence, workforce segmentation, talent forecasting, organizational network analysis, and workforce optimization. Define methodologies that combine internal talent data with external labour market intelligence and economic indicators. Continuously evaluate emerging technologies and analytics techniques to advance talent decision science capabilities. Generative AI, Copilot & Agentic Solutions Lead development of AI-enabled experiences using Data Bricks, Microsoft Fabric, Power BI, Microsoft Copilot, Copilot Studio, Azure AI, enterprise GenAI platforms and machine learning, and intelligent automation capabilities. Design and implement intelligent agents that automate talent insights generation, workforce analytics, executive insights, and decision support processes. Build conversational analytics experiences that enable leaders to interact with talent data through natural language. Establish governance, explainability, responsible AI, and adoption practices for AI-powered talent solutions. Partner with technology teams to integrate agentic workflows into Talent operating models and business processes. Drive experimentation and innovation through AI use cases that unlock measurable business value. Data Products & Platform Leadership Own the vision, roadmap, and lifecycle management of Talent analytics products and self-service insight solutions. Lead development of enterprise Talent data products designed for broad organizational consumption. Establish product management disciplines, user-centric design practices, and adoption strategies across Talent Intelligence initiatives. Drive the transition from static reporting toward intelligent, scalable, reusable analytics products. Identify opportunities to industrialize analytics capabilities and increase insight accessibility across stakeholder groups. Enable scalable analytics architecture supporting structured and unstructured talent data. Collaborate with Data Engineering and Technology teams to optimize data quality, governance, lineage, accessibility, and security. Drive modernization of the talent analytics ecosystem through cloud-native analytics capabilities. Insights, Storytelling & Executive Communications Transform analytical outputs into compelling executive narratives and strategic workforce recommendations. Create executive dashboards and insight products that simplify complex workforce information. Develop thought leadership that shapes future Talent Intelligence capabilities and workforce decision-making practices. Present findings confidently to executive talent leaders and senior business stakeholders. Drive adoption of analytics by making insights easily understandable, relevant, and actionable. Leadership & Capability Development Lead and develop a high-performing team of data scientists, workforce strategists, analytics consultants, AI practitioners, and product managers. Establish talent intelligence standards, methodologies, and governance frameworks. Foster a culture of innovation, experimentation, continuous learning, and responsible AI usage. Build organizational capabilities in analytics, AI literacy, data storytelling, and product thinking. Manage delivery across global, offshore, vendor, and managed-service teams where applicable. Analytical/Decision Making Responsibilities: Determine strategic priorities for Talent Intelligence and Advanced Analytics programs. Prioritize investments and resource allocation across analytics, AI, and data product portfolios. Define and monitor key workforce intelligence metrics and success measures. Evaluate emerging workforce trends, technologies, and market developments to influence strategic direction. Balance innovation investments with operational scalability, governance, and business value realization. Ensure responsible and ethical use of workforce data and AI solutions. Knowledge and Skills Requirements: Strategic & Business Skills Deep understanding of Talent Intelligence, Planning, Talent Analytics, Workforce Evolution and Talent Strategy. Strong consulting, stakeholder management, and executive influence capabilities. Ability to align talent analytics outcomes with broader business objectives. Strong commercial acumen and understanding of organizational transformation. Analytics & Data Science Skills Advanced statistical analysis and predictive modelling, Machine Learning and AI solution design, Experimental design and causal inference methodologies, Skills intelligence and talent marketplace analytics, Expertise in data storytelling and executive reporting. AI & Emerging Technology Skills Generative AI solutions design and implementation, Microsoft Copilot ecosystem expertise, Copilot Studio and conversational AI development, Agentic AI architecture and orchestration, Retrieval-Augmented Generation (RAG) patterns, Prompt engineering and AI governance, Responsible AI and model explainability, Knowledge management and semantic search solutions. Data & Technology Skills Data Bricks, Microsoft Fabric, Power BI and advanced visualization. SQL and advanced data modelling. Microsoft Copilot, Copilot Studio, Azure AI, Enterprise GenAI platforms and Machine Learning Python and R, Modern cloud analytics architectures. API and data integration concepts, Data governance and metadata management. Leadership Competencies Executive presence, Strategic thinking, Innovation mindset, Change leadership. Product-centric thinking, Collaboration across global teams, Enterprise influence and stakeholder engagement. Ability to cope with ambiguity; to drive change and performance outcomes in a complex and agile environment. Supervision Responsibilities: Work closely with the Leads across Global Talent and wider Talent Functions to ensure the provision of services that support business and functional delivery. Lead / manage a team of expert data analytics specialists responsible for functional execution, also build skills and capabilities of the team. Develop AI capabilities, define key AI competencies for the team, and ensure provision of learning to advance skills Independently maintain and leverage (when appropriate) an internal network, including effective partnerships with senior stakeholders, across EY practices / functions that will enable personal effectiveness in the position. Other Requirements: Due to global nature of the role; travel and willingness to work alternative hours will be required. Due to global nature of the role; English language skills - excellent written and verbal communication will be required. Job Requirements: Education: Bachelor's degree in data science, Analytics, Statistics, Computer Science, Economics, Business Analytics, Organizational Psychology, Industrial Engineering, Human Resources, or related discipline. . click apply for full job details
At EY, we're all in to shape your future with confidence. We'll help you succeed in a globally connected powerhouse of diverse teams and take your career wherever you want it to go. Join EY and help to build a better working world. The opportunity The Talent Advanced Analytics Lead is responsible for shaping and delivering the organization's next-generation Talent Intelligence and Advanced Analytics strategy. This role combines executive leadership advisory, advanced analytics, AI innovation, talent intelligence, and data product delivery to enable leaders to make faster, more informed decisions to unlock value and drive business impact. The role serves as a strategic advisor to global Talent, Function, Service Line, and Sector leaders by transforming talent, business, operational, and external market data into actionable intelligence. The individual will lead the development of scalable analytics products, AI-powered insights, and agentic solutions that enhance planning, skills intelligence, talent mobility, employee experience, productivity, and organizational effectiveness. Essential Functions: Talent Intelligence Strategy & Executive Advisory Partner with Global Talent Leadership, Function Talent Leaders, Service Line Leaders, and Planning leaders to define and execute the Talent Intelligence strategy. Act as a trusted advisor to executive stakeholders, translating complex workforce trends into strategic recommendations and actionable decisions. Drive data-informed decision making across planning, skills transformation, workforce evolution, talent acquisition, retention, learning, talent mobility, and succession planning, etc. Deliver executive-ready narratives that combine quantitative insights with business context and future workforce implications. Influence enterprise talent priorities through predictive and prescriptive analytics. Advanced Analytics & AI Solutions Lead the development of advanced analytics models to identify workforce risks, forecast talent demand, predict workforce trends, and uncover opportunities to improve organizational performance. Design and deploy AI-powered talent intelligence solutions using machine learning, Generative AI, natural language processing, knowledge graphs, and predictive modelling techniques. Establish scalable approaches for skills intelligence, workforce segmentation, talent forecasting, organizational network analysis, and workforce optimization. Define methodologies that combine internal talent data with external labour market intelligence and economic indicators. Continuously evaluate emerging technologies and analytics techniques to advance talent decision science capabilities. Generative AI, Copilot & Agentic Solutions Lead development of AI-enabled experiences using Data Bricks, Microsoft Fabric, Power BI, Microsoft Copilot, Copilot Studio, Azure AI, enterprise GenAI platforms and machine learning, and intelligent automation capabilities. Design and implement intelligent agents that automate talent insights generation, workforce analytics, executive insights, and decision support processes. Build conversational analytics experiences that enable leaders to interact with talent data through natural language. Establish governance, explainability, responsible AI, and adoption practices for AI-powered talent solutions. Partner with technology teams to integrate agentic workflows into Talent operating models and business processes. Drive experimentation and innovation through AI use cases that unlock measurable business value. Data Products & Platform Leadership Own the vision, roadmap, and lifecycle management of Talent analytics products and self-service insight solutions. Lead development of enterprise Talent data products designed for broad organizational consumption. Establish product management disciplines, user-centric design practices, and adoption strategies across Talent Intelligence initiatives. Drive the transition from static reporting toward intelligent, scalable, reusable analytics products. Identify opportunities to industrialize analytics capabilities and increase insight accessibility across stakeholder groups. Enable scalable analytics architecture supporting structured and unstructured talent data. Collaborate with Data Engineering and Technology teams to optimize data quality, governance, lineage, accessibility, and security. Drive modernization of the talent analytics ecosystem through cloud-native analytics capabilities. Insights, Storytelling & Executive Communications Transform analytical outputs into compelling executive narratives and strategic workforce recommendations. Create executive dashboards and insight products that simplify complex workforce information. Develop thought leadership that shapes future Talent Intelligence capabilities and workforce decision-making practices. Present findings confidently to executive talent leaders and senior business stakeholders. Drive adoption of analytics by making insights easily understandable, relevant, and actionable. Leadership & Capability Development Lead and develop a high-performing team of data scientists, workforce strategists, analytics consultants, AI practitioners, and product managers. Establish talent intelligence standards, methodologies, and governance frameworks. Foster a culture of innovation, experimentation, continuous learning, and responsible AI usage. Build organizational capabilities in analytics, AI literacy, data storytelling, and product thinking. Manage delivery across global, offshore, vendor, and managed-service teams where applicable. Analytical/Decision Making Responsibilities: Determine strategic priorities for Talent Intelligence and Advanced Analytics programs. Prioritize investments and resource allocation across analytics, AI, and data product portfolios. Define and monitor key workforce intelligence metrics and success measures. Evaluate emerging workforce trends, technologies, and market developments to influence strategic direction. Balance innovation investments with operational scalability, governance, and business value realization. Ensure responsible and ethical use of workforce data and AI solutions. Knowledge and Skills Requirements: Strategic & Business Skills Deep understanding of Talent Intelligence, Planning, Talent Analytics, Workforce Evolution and Talent Strategy. Strong consulting, stakeholder management, and executive influence capabilities. Ability to align talent analytics outcomes with broader business objectives. Strong commercial acumen and understanding of organizational transformation. Analytics & Data Science Skills Advanced statistical analysis and predictive modelling, Machine Learning and AI solution design, Experimental design and causal inference methodologies, Skills intelligence and talent marketplace analytics, Expertise in data storytelling and executive reporting. AI & Emerging Technology Skills Generative AI solutions design and implementation, Microsoft Copilot ecosystem expertise, Copilot Studio and conversational AI development, Agentic AI architecture and orchestration, Retrieval-Augmented Generation (RAG) patterns, Prompt engineering and AI governance, Responsible AI and model explainability, Knowledge management and semantic search solutions. Data & Technology Skills Data Bricks, Microsoft Fabric, Power BI and advanced visualization. SQL and advanced data modelling. Microsoft Copilot, Copilot Studio, Azure AI, Enterprise GenAI platforms and Machine Learning Python and R, Modern cloud analytics architectures. API and data integration concepts, Data governance and metadata management. Leadership Competencies Executive presence, Strategic thinking, Innovation mindset, Change leadership. Product-centric thinking, Collaboration across global teams, Enterprise influence and stakeholder engagement. Ability to cope with ambiguity; to drive change and performance outcomes in a complex and agile environment. Supervision Responsibilities: Work closely with the Leads across Global Talent and wider Talent Functions to ensure the provision of services that support business and functional delivery. Lead / manage a team of expert data analytics specialists responsible for functional execution, also build skills and capabilities of the team. Develop AI capabilities, define key AI competencies for the team, and ensure provision of learning to advance skills Independently maintain and leverage (when appropriate) an internal network, including effective partnerships with senior stakeholders, across EY practices / functions that will enable personal effectiveness in the position. Other Requirements: Due to global nature of the role; travel and willingness to work alternative hours will be required. Due to global nature of the role; English language skills - excellent written and verbal communication will be required. Job Requirements: Education: Bachelor's degree in data science, Analytics, Statistics, Computer Science, Economics, Business Analytics, Organizational Psychology, Industrial Engineering, Human Resources, or related discipline. . click apply for full job details
09/24/2026
Full time
At EY, we're all in to shape your future with confidence. We'll help you succeed in a globally connected powerhouse of diverse teams and take your career wherever you want it to go. Join EY and help to build a better working world. The opportunity The Talent Advanced Analytics Lead is responsible for shaping and delivering the organization's next-generation Talent Intelligence and Advanced Analytics strategy. This role combines executive leadership advisory, advanced analytics, AI innovation, talent intelligence, and data product delivery to enable leaders to make faster, more informed decisions to unlock value and drive business impact. The role serves as a strategic advisor to global Talent, Function, Service Line, and Sector leaders by transforming talent, business, operational, and external market data into actionable intelligence. The individual will lead the development of scalable analytics products, AI-powered insights, and agentic solutions that enhance planning, skills intelligence, talent mobility, employee experience, productivity, and organizational effectiveness. Essential Functions: Talent Intelligence Strategy & Executive Advisory Partner with Global Talent Leadership, Function Talent Leaders, Service Line Leaders, and Planning leaders to define and execute the Talent Intelligence strategy. Act as a trusted advisor to executive stakeholders, translating complex workforce trends into strategic recommendations and actionable decisions. Drive data-informed decision making across planning, skills transformation, workforce evolution, talent acquisition, retention, learning, talent mobility, and succession planning, etc. Deliver executive-ready narratives that combine quantitative insights with business context and future workforce implications. Influence enterprise talent priorities through predictive and prescriptive analytics. Advanced Analytics & AI Solutions Lead the development of advanced analytics models to identify workforce risks, forecast talent demand, predict workforce trends, and uncover opportunities to improve organizational performance. Design and deploy AI-powered talent intelligence solutions using machine learning, Generative AI, natural language processing, knowledge graphs, and predictive modelling techniques. Establish scalable approaches for skills intelligence, workforce segmentation, talent forecasting, organizational network analysis, and workforce optimization. Define methodologies that combine internal talent data with external labour market intelligence and economic indicators. Continuously evaluate emerging technologies and analytics techniques to advance talent decision science capabilities. Generative AI, Copilot & Agentic Solutions Lead development of AI-enabled experiences using Data Bricks, Microsoft Fabric, Power BI, Microsoft Copilot, Copilot Studio, Azure AI, enterprise GenAI platforms and machine learning, and intelligent automation capabilities. Design and implement intelligent agents that automate talent insights generation, workforce analytics, executive insights, and decision support processes. Build conversational analytics experiences that enable leaders to interact with talent data through natural language. Establish governance, explainability, responsible AI, and adoption practices for AI-powered talent solutions. Partner with technology teams to integrate agentic workflows into Talent operating models and business processes. Drive experimentation and innovation through AI use cases that unlock measurable business value. Data Products & Platform Leadership Own the vision, roadmap, and lifecycle management of Talent analytics products and self-service insight solutions. Lead development of enterprise Talent data products designed for broad organizational consumption. Establish product management disciplines, user-centric design practices, and adoption strategies across Talent Intelligence initiatives. Drive the transition from static reporting toward intelligent, scalable, reusable analytics products. Identify opportunities to industrialize analytics capabilities and increase insight accessibility across stakeholder groups. Enable scalable analytics architecture supporting structured and unstructured talent data. Collaborate with Data Engineering and Technology teams to optimize data quality, governance, lineage, accessibility, and security. Drive modernization of the talent analytics ecosystem through cloud-native analytics capabilities. Insights, Storytelling & Executive Communications Transform analytical outputs into compelling executive narratives and strategic workforce recommendations. Create executive dashboards and insight products that simplify complex workforce information. Develop thought leadership that shapes future Talent Intelligence capabilities and workforce decision-making practices. Present findings confidently to executive talent leaders and senior business stakeholders. Drive adoption of analytics by making insights easily understandable, relevant, and actionable. Leadership & Capability Development Lead and develop a high-performing team of data scientists, workforce strategists, analytics consultants, AI practitioners, and product managers. Establish talent intelligence standards, methodologies, and governance frameworks. Foster a culture of innovation, experimentation, continuous learning, and responsible AI usage. Build organizational capabilities in analytics, AI literacy, data storytelling, and product thinking. Manage delivery across global, offshore, vendor, and managed-service teams where applicable. Analytical/Decision Making Responsibilities: Determine strategic priorities for Talent Intelligence and Advanced Analytics programs. Prioritize investments and resource allocation across analytics, AI, and data product portfolios. Define and monitor key workforce intelligence metrics and success measures. Evaluate emerging workforce trends, technologies, and market developments to influence strategic direction. Balance innovation investments with operational scalability, governance, and business value realization. Ensure responsible and ethical use of workforce data and AI solutions. Knowledge and Skills Requirements: Strategic & Business Skills Deep understanding of Talent Intelligence, Planning, Talent Analytics, Workforce Evolution and Talent Strategy. Strong consulting, stakeholder management, and executive influence capabilities. Ability to align talent analytics outcomes with broader business objectives. Strong commercial acumen and understanding of organizational transformation. Analytics & Data Science Skills Advanced statistical analysis and predictive modelling, Machine Learning and AI solution design, Experimental design and causal inference methodologies, Skills intelligence and talent marketplace analytics, Expertise in data storytelling and executive reporting. AI & Emerging Technology Skills Generative AI solutions design and implementation, Microsoft Copilot ecosystem expertise, Copilot Studio and conversational AI development, Agentic AI architecture and orchestration, Retrieval-Augmented Generation (RAG) patterns, Prompt engineering and AI governance, Responsible AI and model explainability, Knowledge management and semantic search solutions. Data & Technology Skills Data Bricks, Microsoft Fabric, Power BI and advanced visualization. SQL and advanced data modelling. Microsoft Copilot, Copilot Studio, Azure AI, Enterprise GenAI platforms and Machine Learning Python and R, Modern cloud analytics architectures. API and data integration concepts, Data governance and metadata management. Leadership Competencies Executive presence, Strategic thinking, Innovation mindset, Change leadership. Product-centric thinking, Collaboration across global teams, Enterprise influence and stakeholder engagement. Ability to cope with ambiguity; to drive change and performance outcomes in a complex and agile environment. Supervision Responsibilities: Work closely with the Leads across Global Talent and wider Talent Functions to ensure the provision of services that support business and functional delivery. Lead / manage a team of expert data analytics specialists responsible for functional execution, also build skills and capabilities of the team. Develop AI capabilities, define key AI competencies for the team, and ensure provision of learning to advance skills Independently maintain and leverage (when appropriate) an internal network, including effective partnerships with senior stakeholders, across EY practices / functions that will enable personal effectiveness in the position. Other Requirements: Due to global nature of the role; travel and willingness to work alternative hours will be required. Due to global nature of the role; English language skills - excellent written and verbal communication will be required. Job Requirements: Education: Bachelor's degree in data science, Analytics, Statistics, Computer Science, Economics, Business Analytics, Organizational Psychology, Industrial Engineering, Human Resources, or related discipline. . click apply for full job details
At EY, we're all in to shape your future with confidence. We'll help you succeed in a globally connected powerhouse of diverse teams and take your career wherever you want it to go. Join EY and help to build a better working world. The opportunity The Talent Advanced Analytics Lead is responsible for shaping and delivering the organization's next-generation Talent Intelligence and Advanced Analytics strategy. This role combines executive leadership advisory, advanced analytics, AI innovation, talent intelligence, and data product delivery to enable leaders to make faster, more informed decisions to unlock value and drive business impact. The role serves as a strategic advisor to global Talent, Function, Service Line, and Sector leaders by transforming talent, business, operational, and external market data into actionable intelligence. The individual will lead the development of scalable analytics products, AI-powered insights, and agentic solutions that enhance planning, skills intelligence, talent mobility, employee experience, productivity, and organizational effectiveness. Essential Functions: Talent Intelligence Strategy & Executive Advisory Partner with Global Talent Leadership, Function Talent Leaders, Service Line Leaders, and Planning leaders to define and execute the Talent Intelligence strategy. Act as a trusted advisor to executive stakeholders, translating complex workforce trends into strategic recommendations and actionable decisions. Drive data-informed decision making across planning, skills transformation, workforce evolution, talent acquisition, retention, learning, talent mobility, and succession planning, etc. Deliver executive-ready narratives that combine quantitative insights with business context and future workforce implications. Influence enterprise talent priorities through predictive and prescriptive analytics. Advanced Analytics & AI Solutions Lead the development of advanced analytics models to identify workforce risks, forecast talent demand, predict workforce trends, and uncover opportunities to improve organizational performance. Design and deploy AI-powered talent intelligence solutions using machine learning, Generative AI, natural language processing, knowledge graphs, and predictive modelling techniques. Establish scalable approaches for skills intelligence, workforce segmentation, talent forecasting, organizational network analysis, and workforce optimization. Define methodologies that combine internal talent data with external labour market intelligence and economic indicators. Continuously evaluate emerging technologies and analytics techniques to advance talent decision science capabilities. Generative AI, Copilot & Agentic Solutions Lead development of AI-enabled experiences using Data Bricks, Microsoft Fabric, Power BI, Microsoft Copilot, Copilot Studio, Azure AI, enterprise GenAI platforms and machine learning, and intelligent automation capabilities. Design and implement intelligent agents that automate talent insights generation, workforce analytics, executive insights, and decision support processes. Build conversational analytics experiences that enable leaders to interact with talent data through natural language. Establish governance, explainability, responsible AI, and adoption practices for AI-powered talent solutions. Partner with technology teams to integrate agentic workflows into Talent operating models and business processes. Drive experimentation and innovation through AI use cases that unlock measurable business value. Data Products & Platform Leadership Own the vision, roadmap, and lifecycle management of Talent analytics products and self-service insight solutions. Lead development of enterprise Talent data products designed for broad organizational consumption. Establish product management disciplines, user-centric design practices, and adoption strategies across Talent Intelligence initiatives. Drive the transition from static reporting toward intelligent, scalable, reusable analytics products. Identify opportunities to industrialize analytics capabilities and increase insight accessibility across stakeholder groups. Enable scalable analytics architecture supporting structured and unstructured talent data. Collaborate with Data Engineering and Technology teams to optimize data quality, governance, lineage, accessibility, and security. Drive modernization of the talent analytics ecosystem through cloud-native analytics capabilities. Insights, Storytelling & Executive Communications Transform analytical outputs into compelling executive narratives and strategic workforce recommendations. Create executive dashboards and insight products that simplify complex workforce information. Develop thought leadership that shapes future Talent Intelligence capabilities and workforce decision-making practices. Present findings confidently to executive talent leaders and senior business stakeholders. Drive adoption of analytics by making insights easily understandable, relevant, and actionable. Leadership & Capability Development Lead and develop a high-performing team of data scientists, workforce strategists, analytics consultants, AI practitioners, and product managers. Establish talent intelligence standards, methodologies, and governance frameworks. Foster a culture of innovation, experimentation, continuous learning, and responsible AI usage. Build organizational capabilities in analytics, AI literacy, data storytelling, and product thinking. Manage delivery across global, offshore, vendor, and managed-service teams where applicable. Analytical/Decision Making Responsibilities: Determine strategic priorities for Talent Intelligence and Advanced Analytics programs. Prioritize investments and resource allocation across analytics, AI, and data product portfolios. Define and monitor key workforce intelligence metrics and success measures. Evaluate emerging workforce trends, technologies, and market developments to influence strategic direction. Balance innovation investments with operational scalability, governance, and business value realization. Ensure responsible and ethical use of workforce data and AI solutions. Knowledge and Skills Requirements: Strategic & Business Skills Deep understanding of Talent Intelligence, Planning, Talent Analytics, Workforce Evolution and Talent Strategy. Strong consulting, stakeholder management, and executive influence capabilities. Ability to align talent analytics outcomes with broader business objectives. Strong commercial acumen and understanding of organizational transformation. Analytics & Data Science Skills Advanced statistical analysis and predictive modelling, Machine Learning and AI solution design, Experimental design and causal inference methodologies, Skills intelligence and talent marketplace analytics, Expertise in data storytelling and executive reporting. AI & Emerging Technology Skills Generative AI solutions design and implementation, Microsoft Copilot ecosystem expertise, Copilot Studio and conversational AI development, Agentic AI architecture and orchestration, Retrieval-Augmented Generation (RAG) patterns, Prompt engineering and AI governance, Responsible AI and model explainability, Knowledge management and semantic search solutions. Data & Technology Skills Data Bricks, Microsoft Fabric, Power BI and advanced visualization. SQL and advanced data modelling. Microsoft Copilot, Copilot Studio, Azure AI, Enterprise GenAI platforms and Machine Learning Python and R, Modern cloud analytics architectures. API and data integration concepts, Data governance and metadata management. Leadership Competencies Executive presence, Strategic thinking, Innovation mindset, Change leadership. Product-centric thinking, Collaboration across global teams, Enterprise influence and stakeholder engagement. Ability to cope with ambiguity; to drive change and performance outcomes in a complex and agile environment. Supervision Responsibilities: Work closely with the Leads across Global Talent and wider Talent Functions to ensure the provision of services that support business and functional delivery. Lead / manage a team of expert data analytics specialists responsible for functional execution, also build skills and capabilities of the team. Develop AI capabilities, define key AI competencies for the team, and ensure provision of learning to advance skills Independently maintain and leverage (when appropriate) an internal network, including effective partnerships with senior stakeholders, across EY practices / functions that will enable personal effectiveness in the position. Other Requirements: Due to global nature of the role; travel and willingness to work alternative hours will be required. Due to global nature of the role; English language skills - excellent written and verbal communication will be required. Job Requirements: Education: Bachelor's degree in data science, Analytics, Statistics, Computer Science, Economics, Business Analytics, Organizational Psychology, Industrial Engineering, Human Resources, or related discipline. . click apply for full job details
09/24/2026
Full time
At EY, we're all in to shape your future with confidence. We'll help you succeed in a globally connected powerhouse of diverse teams and take your career wherever you want it to go. Join EY and help to build a better working world. The opportunity The Talent Advanced Analytics Lead is responsible for shaping and delivering the organization's next-generation Talent Intelligence and Advanced Analytics strategy. This role combines executive leadership advisory, advanced analytics, AI innovation, talent intelligence, and data product delivery to enable leaders to make faster, more informed decisions to unlock value and drive business impact. The role serves as a strategic advisor to global Talent, Function, Service Line, and Sector leaders by transforming talent, business, operational, and external market data into actionable intelligence. The individual will lead the development of scalable analytics products, AI-powered insights, and agentic solutions that enhance planning, skills intelligence, talent mobility, employee experience, productivity, and organizational effectiveness. Essential Functions: Talent Intelligence Strategy & Executive Advisory Partner with Global Talent Leadership, Function Talent Leaders, Service Line Leaders, and Planning leaders to define and execute the Talent Intelligence strategy. Act as a trusted advisor to executive stakeholders, translating complex workforce trends into strategic recommendations and actionable decisions. Drive data-informed decision making across planning, skills transformation, workforce evolution, talent acquisition, retention, learning, talent mobility, and succession planning, etc. Deliver executive-ready narratives that combine quantitative insights with business context and future workforce implications. Influence enterprise talent priorities through predictive and prescriptive analytics. Advanced Analytics & AI Solutions Lead the development of advanced analytics models to identify workforce risks, forecast talent demand, predict workforce trends, and uncover opportunities to improve organizational performance. Design and deploy AI-powered talent intelligence solutions using machine learning, Generative AI, natural language processing, knowledge graphs, and predictive modelling techniques. Establish scalable approaches for skills intelligence, workforce segmentation, talent forecasting, organizational network analysis, and workforce optimization. Define methodologies that combine internal talent data with external labour market intelligence and economic indicators. Continuously evaluate emerging technologies and analytics techniques to advance talent decision science capabilities. Generative AI, Copilot & Agentic Solutions Lead development of AI-enabled experiences using Data Bricks, Microsoft Fabric, Power BI, Microsoft Copilot, Copilot Studio, Azure AI, enterprise GenAI platforms and machine learning, and intelligent automation capabilities. Design and implement intelligent agents that automate talent insights generation, workforce analytics, executive insights, and decision support processes. Build conversational analytics experiences that enable leaders to interact with talent data through natural language. Establish governance, explainability, responsible AI, and adoption practices for AI-powered talent solutions. Partner with technology teams to integrate agentic workflows into Talent operating models and business processes. Drive experimentation and innovation through AI use cases that unlock measurable business value. Data Products & Platform Leadership Own the vision, roadmap, and lifecycle management of Talent analytics products and self-service insight solutions. Lead development of enterprise Talent data products designed for broad organizational consumption. Establish product management disciplines, user-centric design practices, and adoption strategies across Talent Intelligence initiatives. Drive the transition from static reporting toward intelligent, scalable, reusable analytics products. Identify opportunities to industrialize analytics capabilities and increase insight accessibility across stakeholder groups. Enable scalable analytics architecture supporting structured and unstructured talent data. Collaborate with Data Engineering and Technology teams to optimize data quality, governance, lineage, accessibility, and security. Drive modernization of the talent analytics ecosystem through cloud-native analytics capabilities. Insights, Storytelling & Executive Communications Transform analytical outputs into compelling executive narratives and strategic workforce recommendations. Create executive dashboards and insight products that simplify complex workforce information. Develop thought leadership that shapes future Talent Intelligence capabilities and workforce decision-making practices. Present findings confidently to executive talent leaders and senior business stakeholders. Drive adoption of analytics by making insights easily understandable, relevant, and actionable. Leadership & Capability Development Lead and develop a high-performing team of data scientists, workforce strategists, analytics consultants, AI practitioners, and product managers. Establish talent intelligence standards, methodologies, and governance frameworks. Foster a culture of innovation, experimentation, continuous learning, and responsible AI usage. Build organizational capabilities in analytics, AI literacy, data storytelling, and product thinking. Manage delivery across global, offshore, vendor, and managed-service teams where applicable. Analytical/Decision Making Responsibilities: Determine strategic priorities for Talent Intelligence and Advanced Analytics programs. Prioritize investments and resource allocation across analytics, AI, and data product portfolios. Define and monitor key workforce intelligence metrics and success measures. Evaluate emerging workforce trends, technologies, and market developments to influence strategic direction. Balance innovation investments with operational scalability, governance, and business value realization. Ensure responsible and ethical use of workforce data and AI solutions. Knowledge and Skills Requirements: Strategic & Business Skills Deep understanding of Talent Intelligence, Planning, Talent Analytics, Workforce Evolution and Talent Strategy. Strong consulting, stakeholder management, and executive influence capabilities. Ability to align talent analytics outcomes with broader business objectives. Strong commercial acumen and understanding of organizational transformation. Analytics & Data Science Skills Advanced statistical analysis and predictive modelling, Machine Learning and AI solution design, Experimental design and causal inference methodologies, Skills intelligence and talent marketplace analytics, Expertise in data storytelling and executive reporting. AI & Emerging Technology Skills Generative AI solutions design and implementation, Microsoft Copilot ecosystem expertise, Copilot Studio and conversational AI development, Agentic AI architecture and orchestration, Retrieval-Augmented Generation (RAG) patterns, Prompt engineering and AI governance, Responsible AI and model explainability, Knowledge management and semantic search solutions. Data & Technology Skills Data Bricks, Microsoft Fabric, Power BI and advanced visualization. SQL and advanced data modelling. Microsoft Copilot, Copilot Studio, Azure AI, Enterprise GenAI platforms and Machine Learning Python and R, Modern cloud analytics architectures. API and data integration concepts, Data governance and metadata management. Leadership Competencies Executive presence, Strategic thinking, Innovation mindset, Change leadership. Product-centric thinking, Collaboration across global teams, Enterprise influence and stakeholder engagement. Ability to cope with ambiguity; to drive change and performance outcomes in a complex and agile environment. Supervision Responsibilities: Work closely with the Leads across Global Talent and wider Talent Functions to ensure the provision of services that support business and functional delivery. Lead / manage a team of expert data analytics specialists responsible for functional execution, also build skills and capabilities of the team. Develop AI capabilities, define key AI competencies for the team, and ensure provision of learning to advance skills Independently maintain and leverage (when appropriate) an internal network, including effective partnerships with senior stakeholders, across EY practices / functions that will enable personal effectiveness in the position. Other Requirements: Due to global nature of the role; travel and willingness to work alternative hours will be required. Due to global nature of the role; English language skills - excellent written and verbal communication will be required. Job Requirements: Education: Bachelor's degree in data science, Analytics, Statistics, Computer Science, Economics, Business Analytics, Organizational Psychology, Industrial Engineering, Human Resources, or related discipline. . click apply for full job details
At EY, we're all in to shape your future with confidence. We'll help you succeed in a globally connected powerhouse of diverse teams and take your career wherever you want it to go. Join EY and help to build a better working world. The opportunity The Talent Advanced Analytics Lead is responsible for shaping and delivering the organization's next-generation Talent Intelligence and Advanced Analytics strategy. This role combines executive leadership advisory, advanced analytics, AI innovation, talent intelligence, and data product delivery to enable leaders to make faster, more informed decisions to unlock value and drive business impact. The role serves as a strategic advisor to global Talent, Function, Service Line, and Sector leaders by transforming talent, business, operational, and external market data into actionable intelligence. The individual will lead the development of scalable analytics products, AI-powered insights, and agentic solutions that enhance planning, skills intelligence, talent mobility, employee experience, productivity, and organizational effectiveness. Essential Functions: Talent Intelligence Strategy & Executive Advisory Partner with Global Talent Leadership, Function Talent Leaders, Service Line Leaders, and Planning leaders to define and execute the Talent Intelligence strategy. Act as a trusted advisor to executive stakeholders, translating complex workforce trends into strategic recommendations and actionable decisions. Drive data-informed decision making across planning, skills transformation, workforce evolution, talent acquisition, retention, learning, talent mobility, and succession planning, etc. Deliver executive-ready narratives that combine quantitative insights with business context and future workforce implications. Influence enterprise talent priorities through predictive and prescriptive analytics. Advanced Analytics & AI Solutions Lead the development of advanced analytics models to identify workforce risks, forecast talent demand, predict workforce trends, and uncover opportunities to improve organizational performance. Design and deploy AI-powered talent intelligence solutions using machine learning, Generative AI, natural language processing, knowledge graphs, and predictive modelling techniques. Establish scalable approaches for skills intelligence, workforce segmentation, talent forecasting, organizational network analysis, and workforce optimization. Define methodologies that combine internal talent data with external labour market intelligence and economic indicators. Continuously evaluate emerging technologies and analytics techniques to advance talent decision science capabilities. Generative AI, Copilot & Agentic Solutions Lead development of AI-enabled experiences using Data Bricks, Microsoft Fabric, Power BI, Microsoft Copilot, Copilot Studio, Azure AI, enterprise GenAI platforms and machine learning, and intelligent automation capabilities. Design and implement intelligent agents that automate talent insights generation, workforce analytics, executive insights, and decision support processes. Build conversational analytics experiences that enable leaders to interact with talent data through natural language. Establish governance, explainability, responsible AI, and adoption practices for AI-powered talent solutions. Partner with technology teams to integrate agentic workflows into Talent operating models and business processes. Drive experimentation and innovation through AI use cases that unlock measurable business value. Data Products & Platform Leadership Own the vision, roadmap, and lifecycle management of Talent analytics products and self-service insight solutions. Lead development of enterprise Talent data products designed for broad organizational consumption. Establish product management disciplines, user-centric design practices, and adoption strategies across Talent Intelligence initiatives. Drive the transition from static reporting toward intelligent, scalable, reusable analytics products. Identify opportunities to industrialize analytics capabilities and increase insight accessibility across stakeholder groups. Enable scalable analytics architecture supporting structured and unstructured talent data. Collaborate with Data Engineering and Technology teams to optimize data quality, governance, lineage, accessibility, and security. Drive modernization of the talent analytics ecosystem through cloud-native analytics capabilities. Insights, Storytelling & Executive Communications Transform analytical outputs into compelling executive narratives and strategic workforce recommendations. Create executive dashboards and insight products that simplify complex workforce information. Develop thought leadership that shapes future Talent Intelligence capabilities and workforce decision-making practices. Present findings confidently to executive talent leaders and senior business stakeholders. Drive adoption of analytics by making insights easily understandable, relevant, and actionable. Leadership & Capability Development Lead and develop a high-performing team of data scientists, workforce strategists, analytics consultants, AI practitioners, and product managers. Establish talent intelligence standards, methodologies, and governance frameworks. Foster a culture of innovation, experimentation, continuous learning, and responsible AI usage. Build organizational capabilities in analytics, AI literacy, data storytelling, and product thinking. Manage delivery across global, offshore, vendor, and managed-service teams where applicable. Analytical/Decision Making Responsibilities: Determine strategic priorities for Talent Intelligence and Advanced Analytics programs. Prioritize investments and resource allocation across analytics, AI, and data product portfolios. Define and monitor key workforce intelligence metrics and success measures. Evaluate emerging workforce trends, technologies, and market developments to influence strategic direction. Balance innovation investments with operational scalability, governance, and business value realization. Ensure responsible and ethical use of workforce data and AI solutions. Knowledge and Skills Requirements: Strategic & Business Skills Deep understanding of Talent Intelligence, Planning, Talent Analytics, Workforce Evolution and Talent Strategy. Strong consulting, stakeholder management, and executive influence capabilities. Ability to align talent analytics outcomes with broader business objectives. Strong commercial acumen and understanding of organizational transformation. Analytics & Data Science Skills Advanced statistical analysis and predictive modelling, Machine Learning and AI solution design, Experimental design and causal inference methodologies, Skills intelligence and talent marketplace analytics, Expertise in data storytelling and executive reporting. AI & Emerging Technology Skills Generative AI solutions design and implementation, Microsoft Copilot ecosystem expertise, Copilot Studio and conversational AI development, Agentic AI architecture and orchestration, Retrieval-Augmented Generation (RAG) patterns, Prompt engineering and AI governance, Responsible AI and model explainability, Knowledge management and semantic search solutions. Data & Technology Skills Data Bricks, Microsoft Fabric, Power BI and advanced visualization. SQL and advanced data modelling. Microsoft Copilot, Copilot Studio, Azure AI, Enterprise GenAI platforms and Machine Learning Python and R, Modern cloud analytics architectures. API and data integration concepts, Data governance and metadata management. Leadership Competencies Executive presence, Strategic thinking, Innovation mindset, Change leadership. Product-centric thinking, Collaboration across global teams, Enterprise influence and stakeholder engagement. Ability to cope with ambiguity; to drive change and performance outcomes in a complex and agile environment. Supervision Responsibilities: Work closely with the Leads across Global Talent and wider Talent Functions to ensure the provision of services that support business and functional delivery. Lead / manage a team of expert data analytics specialists responsible for functional execution, also build skills and capabilities of the team. Develop AI capabilities, define key AI competencies for the team, and ensure provision of learning to advance skills Independently maintain and leverage (when appropriate) an internal network, including effective partnerships with senior stakeholders, across EY practices / functions that will enable personal effectiveness in the position. Other Requirements: Due to global nature of the role; travel and willingness to work alternative hours will be required. Due to global nature of the role; English language skills - excellent written and verbal communication will be required. Job Requirements: Education: Bachelor's degree in data science, Analytics, Statistics, Computer Science, Economics, Business Analytics, Organizational Psychology, Industrial Engineering, Human Resources, or related discipline. . click apply for full job details
09/24/2026
Full time
At EY, we're all in to shape your future with confidence. We'll help you succeed in a globally connected powerhouse of diverse teams and take your career wherever you want it to go. Join EY and help to build a better working world. The opportunity The Talent Advanced Analytics Lead is responsible for shaping and delivering the organization's next-generation Talent Intelligence and Advanced Analytics strategy. This role combines executive leadership advisory, advanced analytics, AI innovation, talent intelligence, and data product delivery to enable leaders to make faster, more informed decisions to unlock value and drive business impact. The role serves as a strategic advisor to global Talent, Function, Service Line, and Sector leaders by transforming talent, business, operational, and external market data into actionable intelligence. The individual will lead the development of scalable analytics products, AI-powered insights, and agentic solutions that enhance planning, skills intelligence, talent mobility, employee experience, productivity, and organizational effectiveness. Essential Functions: Talent Intelligence Strategy & Executive Advisory Partner with Global Talent Leadership, Function Talent Leaders, Service Line Leaders, and Planning leaders to define and execute the Talent Intelligence strategy. Act as a trusted advisor to executive stakeholders, translating complex workforce trends into strategic recommendations and actionable decisions. Drive data-informed decision making across planning, skills transformation, workforce evolution, talent acquisition, retention, learning, talent mobility, and succession planning, etc. Deliver executive-ready narratives that combine quantitative insights with business context and future workforce implications. Influence enterprise talent priorities through predictive and prescriptive analytics. Advanced Analytics & AI Solutions Lead the development of advanced analytics models to identify workforce risks, forecast talent demand, predict workforce trends, and uncover opportunities to improve organizational performance. Design and deploy AI-powered talent intelligence solutions using machine learning, Generative AI, natural language processing, knowledge graphs, and predictive modelling techniques. Establish scalable approaches for skills intelligence, workforce segmentation, talent forecasting, organizational network analysis, and workforce optimization. Define methodologies that combine internal talent data with external labour market intelligence and economic indicators. Continuously evaluate emerging technologies and analytics techniques to advance talent decision science capabilities. Generative AI, Copilot & Agentic Solutions Lead development of AI-enabled experiences using Data Bricks, Microsoft Fabric, Power BI, Microsoft Copilot, Copilot Studio, Azure AI, enterprise GenAI platforms and machine learning, and intelligent automation capabilities. Design and implement intelligent agents that automate talent insights generation, workforce analytics, executive insights, and decision support processes. Build conversational analytics experiences that enable leaders to interact with talent data through natural language. Establish governance, explainability, responsible AI, and adoption practices for AI-powered talent solutions. Partner with technology teams to integrate agentic workflows into Talent operating models and business processes. Drive experimentation and innovation through AI use cases that unlock measurable business value. Data Products & Platform Leadership Own the vision, roadmap, and lifecycle management of Talent analytics products and self-service insight solutions. Lead development of enterprise Talent data products designed for broad organizational consumption. Establish product management disciplines, user-centric design practices, and adoption strategies across Talent Intelligence initiatives. Drive the transition from static reporting toward intelligent, scalable, reusable analytics products. Identify opportunities to industrialize analytics capabilities and increase insight accessibility across stakeholder groups. Enable scalable analytics architecture supporting structured and unstructured talent data. Collaborate with Data Engineering and Technology teams to optimize data quality, governance, lineage, accessibility, and security. Drive modernization of the talent analytics ecosystem through cloud-native analytics capabilities. Insights, Storytelling & Executive Communications Transform analytical outputs into compelling executive narratives and strategic workforce recommendations. Create executive dashboards and insight products that simplify complex workforce information. Develop thought leadership that shapes future Talent Intelligence capabilities and workforce decision-making practices. Present findings confidently to executive talent leaders and senior business stakeholders. Drive adoption of analytics by making insights easily understandable, relevant, and actionable. Leadership & Capability Development Lead and develop a high-performing team of data scientists, workforce strategists, analytics consultants, AI practitioners, and product managers. Establish talent intelligence standards, methodologies, and governance frameworks. Foster a culture of innovation, experimentation, continuous learning, and responsible AI usage. Build organizational capabilities in analytics, AI literacy, data storytelling, and product thinking. Manage delivery across global, offshore, vendor, and managed-service teams where applicable. Analytical/Decision Making Responsibilities: Determine strategic priorities for Talent Intelligence and Advanced Analytics programs. Prioritize investments and resource allocation across analytics, AI, and data product portfolios. Define and monitor key workforce intelligence metrics and success measures. Evaluate emerging workforce trends, technologies, and market developments to influence strategic direction. Balance innovation investments with operational scalability, governance, and business value realization. Ensure responsible and ethical use of workforce data and AI solutions. Knowledge and Skills Requirements: Strategic & Business Skills Deep understanding of Talent Intelligence, Planning, Talent Analytics, Workforce Evolution and Talent Strategy. Strong consulting, stakeholder management, and executive influence capabilities. Ability to align talent analytics outcomes with broader business objectives. Strong commercial acumen and understanding of organizational transformation. Analytics & Data Science Skills Advanced statistical analysis and predictive modelling, Machine Learning and AI solution design, Experimental design and causal inference methodologies, Skills intelligence and talent marketplace analytics, Expertise in data storytelling and executive reporting. AI & Emerging Technology Skills Generative AI solutions design and implementation, Microsoft Copilot ecosystem expertise, Copilot Studio and conversational AI development, Agentic AI architecture and orchestration, Retrieval-Augmented Generation (RAG) patterns, Prompt engineering and AI governance, Responsible AI and model explainability, Knowledge management and semantic search solutions. Data & Technology Skills Data Bricks, Microsoft Fabric, Power BI and advanced visualization. SQL and advanced data modelling. Microsoft Copilot, Copilot Studio, Azure AI, Enterprise GenAI platforms and Machine Learning Python and R, Modern cloud analytics architectures. API and data integration concepts, Data governance and metadata management. Leadership Competencies Executive presence, Strategic thinking, Innovation mindset, Change leadership. Product-centric thinking, Collaboration across global teams, Enterprise influence and stakeholder engagement. Ability to cope with ambiguity; to drive change and performance outcomes in a complex and agile environment. Supervision Responsibilities: Work closely with the Leads across Global Talent and wider Talent Functions to ensure the provision of services that support business and functional delivery. Lead / manage a team of expert data analytics specialists responsible for functional execution, also build skills and capabilities of the team. Develop AI capabilities, define key AI competencies for the team, and ensure provision of learning to advance skills Independently maintain and leverage (when appropriate) an internal network, including effective partnerships with senior stakeholders, across EY practices / functions that will enable personal effectiveness in the position. Other Requirements: Due to global nature of the role; travel and willingness to work alternative hours will be required. Due to global nature of the role; English language skills - excellent written and verbal communication will be required. Job Requirements: Education: Bachelor's degree in data science, Analytics, Statistics, Computer Science, Economics, Business Analytics, Organizational Psychology, Industrial Engineering, Human Resources, or related discipline. . click apply for full job details
At EY, we're all in to shape your future with confidence. We'll help you succeed in a globally connected powerhouse of diverse teams and take your career wherever you want it to go. Join EY and help to build a better working world. The opportunity The Talent Advanced Analytics Lead is responsible for shaping and delivering the organization's next-generation Talent Intelligence and Advanced Analytics strategy. This role combines executive leadership advisory, advanced analytics, AI innovation, talent intelligence, and data product delivery to enable leaders to make faster, more informed decisions to unlock value and drive business impact. The role serves as a strategic advisor to global Talent, Function, Service Line, and Sector leaders by transforming talent, business, operational, and external market data into actionable intelligence. The individual will lead the development of scalable analytics products, AI-powered insights, and agentic solutions that enhance planning, skills intelligence, talent mobility, employee experience, productivity, and organizational effectiveness. Essential Functions: Talent Intelligence Strategy & Executive Advisory Partner with Global Talent Leadership, Function Talent Leaders, Service Line Leaders, and Planning leaders to define and execute the Talent Intelligence strategy. Act as a trusted advisor to executive stakeholders, translating complex workforce trends into strategic recommendations and actionable decisions. Drive data-informed decision making across planning, skills transformation, workforce evolution, talent acquisition, retention, learning, talent mobility, and succession planning, etc. Deliver executive-ready narratives that combine quantitative insights with business context and future workforce implications. Influence enterprise talent priorities through predictive and prescriptive analytics. Advanced Analytics & AI Solutions Lead the development of advanced analytics models to identify workforce risks, forecast talent demand, predict workforce trends, and uncover opportunities to improve organizational performance. Design and deploy AI-powered talent intelligence solutions using machine learning, Generative AI, natural language processing, knowledge graphs, and predictive modelling techniques. Establish scalable approaches for skills intelligence, workforce segmentation, talent forecasting, organizational network analysis, and workforce optimization. Define methodologies that combine internal talent data with external labour market intelligence and economic indicators. Continuously evaluate emerging technologies and analytics techniques to advance talent decision science capabilities. Generative AI, Copilot & Agentic Solutions Lead development of AI-enabled experiences using Data Bricks, Microsoft Fabric, Power BI, Microsoft Copilot, Copilot Studio, Azure AI, enterprise GenAI platforms and machine learning, and intelligent automation capabilities. Design and implement intelligent agents that automate talent insights generation, workforce analytics, executive insights, and decision support processes. Build conversational analytics experiences that enable leaders to interact with talent data through natural language. Establish governance, explainability, responsible AI, and adoption practices for AI-powered talent solutions. Partner with technology teams to integrate agentic workflows into Talent operating models and business processes. Drive experimentation and innovation through AI use cases that unlock measurable business value. Data Products & Platform Leadership Own the vision, roadmap, and lifecycle management of Talent analytics products and self-service insight solutions. Lead development of enterprise Talent data products designed for broad organizational consumption. Establish product management disciplines, user-centric design practices, and adoption strategies across Talent Intelligence initiatives. Drive the transition from static reporting toward intelligent, scalable, reusable analytics products. Identify opportunities to industrialize analytics capabilities and increase insight accessibility across stakeholder groups. Enable scalable analytics architecture supporting structured and unstructured talent data. Collaborate with Data Engineering and Technology teams to optimize data quality, governance, lineage, accessibility, and security. Drive modernization of the talent analytics ecosystem through cloud-native analytics capabilities. Insights, Storytelling & Executive Communications Transform analytical outputs into compelling executive narratives and strategic workforce recommendations. Create executive dashboards and insight products that simplify complex workforce information. Develop thought leadership that shapes future Talent Intelligence capabilities and workforce decision-making practices. Present findings confidently to executive talent leaders and senior business stakeholders. Drive adoption of analytics by making insights easily understandable, relevant, and actionable. Leadership & Capability Development Lead and develop a high-performing team of data scientists, workforce strategists, analytics consultants, AI practitioners, and product managers. Establish talent intelligence standards, methodologies, and governance frameworks. Foster a culture of innovation, experimentation, continuous learning, and responsible AI usage. Build organizational capabilities in analytics, AI literacy, data storytelling, and product thinking. Manage delivery across global, offshore, vendor, and managed-service teams where applicable. Analytical/Decision Making Responsibilities: Determine strategic priorities for Talent Intelligence and Advanced Analytics programs. Prioritize investments and resource allocation across analytics, AI, and data product portfolios. Define and monitor key workforce intelligence metrics and success measures. Evaluate emerging workforce trends, technologies, and market developments to influence strategic direction. Balance innovation investments with operational scalability, governance, and business value realization. Ensure responsible and ethical use of workforce data and AI solutions. Knowledge and Skills Requirements: Strategic & Business Skills Deep understanding of Talent Intelligence, Planning, Talent Analytics, Workforce Evolution and Talent Strategy. Strong consulting, stakeholder management, and executive influence capabilities. Ability to align talent analytics outcomes with broader business objectives. Strong commercial acumen and understanding of organizational transformation. Analytics & Data Science Skills Advanced statistical analysis and predictive modelling, Machine Learning and AI solution design, Experimental design and causal inference methodologies, Skills intelligence and talent marketplace analytics, Expertise in data storytelling and executive reporting. AI & Emerging Technology Skills Generative AI solutions design and implementation, Microsoft Copilot ecosystem expertise, Copilot Studio and conversational AI development, Agentic AI architecture and orchestration, Retrieval-Augmented Generation (RAG) patterns, Prompt engineering and AI governance, Responsible AI and model explainability, Knowledge management and semantic search solutions. Data & Technology Skills Data Bricks, Microsoft Fabric, Power BI and advanced visualization. SQL and advanced data modelling. Microsoft Copilot, Copilot Studio, Azure AI, Enterprise GenAI platforms and Machine Learning Python and R, Modern cloud analytics architectures. API and data integration concepts, Data governance and metadata management. Leadership Competencies Executive presence, Strategic thinking, Innovation mindset, Change leadership. Product-centric thinking, Collaboration across global teams, Enterprise influence and stakeholder engagement. Ability to cope with ambiguity; to drive change and performance outcomes in a complex and agile environment. Supervision Responsibilities: Work closely with the Leads across Global Talent and wider Talent Functions to ensure the provision of services that support business and functional delivery. Lead / manage a team of expert data analytics specialists responsible for functional execution, also build skills and capabilities of the team. Develop AI capabilities, define key AI competencies for the team, and ensure provision of learning to advance skills Independently maintain and leverage (when appropriate) an internal network, including effective partnerships with senior stakeholders, across EY practices / functions that will enable personal effectiveness in the position. Other Requirements: Due to global nature of the role; travel and willingness to work alternative hours will be required. Due to global nature of the role; English language skills - excellent written and verbal communication will be required. Job Requirements: Education: Bachelor's degree in data science, Analytics, Statistics, Computer Science, Economics, Business Analytics, Organizational Psychology, Industrial Engineering, Human Resources, or related discipline. . click apply for full job details
09/24/2026
Full time
At EY, we're all in to shape your future with confidence. We'll help you succeed in a globally connected powerhouse of diverse teams and take your career wherever you want it to go. Join EY and help to build a better working world. The opportunity The Talent Advanced Analytics Lead is responsible for shaping and delivering the organization's next-generation Talent Intelligence and Advanced Analytics strategy. This role combines executive leadership advisory, advanced analytics, AI innovation, talent intelligence, and data product delivery to enable leaders to make faster, more informed decisions to unlock value and drive business impact. The role serves as a strategic advisor to global Talent, Function, Service Line, and Sector leaders by transforming talent, business, operational, and external market data into actionable intelligence. The individual will lead the development of scalable analytics products, AI-powered insights, and agentic solutions that enhance planning, skills intelligence, talent mobility, employee experience, productivity, and organizational effectiveness. Essential Functions: Talent Intelligence Strategy & Executive Advisory Partner with Global Talent Leadership, Function Talent Leaders, Service Line Leaders, and Planning leaders to define and execute the Talent Intelligence strategy. Act as a trusted advisor to executive stakeholders, translating complex workforce trends into strategic recommendations and actionable decisions. Drive data-informed decision making across planning, skills transformation, workforce evolution, talent acquisition, retention, learning, talent mobility, and succession planning, etc. Deliver executive-ready narratives that combine quantitative insights with business context and future workforce implications. Influence enterprise talent priorities through predictive and prescriptive analytics. Advanced Analytics & AI Solutions Lead the development of advanced analytics models to identify workforce risks, forecast talent demand, predict workforce trends, and uncover opportunities to improve organizational performance. Design and deploy AI-powered talent intelligence solutions using machine learning, Generative AI, natural language processing, knowledge graphs, and predictive modelling techniques. Establish scalable approaches for skills intelligence, workforce segmentation, talent forecasting, organizational network analysis, and workforce optimization. Define methodologies that combine internal talent data with external labour market intelligence and economic indicators. Continuously evaluate emerging technologies and analytics techniques to advance talent decision science capabilities. Generative AI, Copilot & Agentic Solutions Lead development of AI-enabled experiences using Data Bricks, Microsoft Fabric, Power BI, Microsoft Copilot, Copilot Studio, Azure AI, enterprise GenAI platforms and machine learning, and intelligent automation capabilities. Design and implement intelligent agents that automate talent insights generation, workforce analytics, executive insights, and decision support processes. Build conversational analytics experiences that enable leaders to interact with talent data through natural language. Establish governance, explainability, responsible AI, and adoption practices for AI-powered talent solutions. Partner with technology teams to integrate agentic workflows into Talent operating models and business processes. Drive experimentation and innovation through AI use cases that unlock measurable business value. Data Products & Platform Leadership Own the vision, roadmap, and lifecycle management of Talent analytics products and self-service insight solutions. Lead development of enterprise Talent data products designed for broad organizational consumption. Establish product management disciplines, user-centric design practices, and adoption strategies across Talent Intelligence initiatives. Drive the transition from static reporting toward intelligent, scalable, reusable analytics products. Identify opportunities to industrialize analytics capabilities and increase insight accessibility across stakeholder groups. Enable scalable analytics architecture supporting structured and unstructured talent data. Collaborate with Data Engineering and Technology teams to optimize data quality, governance, lineage, accessibility, and security. Drive modernization of the talent analytics ecosystem through cloud-native analytics capabilities. Insights, Storytelling & Executive Communications Transform analytical outputs into compelling executive narratives and strategic workforce recommendations. Create executive dashboards and insight products that simplify complex workforce information. Develop thought leadership that shapes future Talent Intelligence capabilities and workforce decision-making practices. Present findings confidently to executive talent leaders and senior business stakeholders. Drive adoption of analytics by making insights easily understandable, relevant, and actionable. Leadership & Capability Development Lead and develop a high-performing team of data scientists, workforce strategists, analytics consultants, AI practitioners, and product managers. Establish talent intelligence standards, methodologies, and governance frameworks. Foster a culture of innovation, experimentation, continuous learning, and responsible AI usage. Build organizational capabilities in analytics, AI literacy, data storytelling, and product thinking. Manage delivery across global, offshore, vendor, and managed-service teams where applicable. Analytical/Decision Making Responsibilities: Determine strategic priorities for Talent Intelligence and Advanced Analytics programs. Prioritize investments and resource allocation across analytics, AI, and data product portfolios. Define and monitor key workforce intelligence metrics and success measures. Evaluate emerging workforce trends, technologies, and market developments to influence strategic direction. Balance innovation investments with operational scalability, governance, and business value realization. Ensure responsible and ethical use of workforce data and AI solutions. Knowledge and Skills Requirements: Strategic & Business Skills Deep understanding of Talent Intelligence, Planning, Talent Analytics, Workforce Evolution and Talent Strategy. Strong consulting, stakeholder management, and executive influence capabilities. Ability to align talent analytics outcomes with broader business objectives. Strong commercial acumen and understanding of organizational transformation. Analytics & Data Science Skills Advanced statistical analysis and predictive modelling, Machine Learning and AI solution design, Experimental design and causal inference methodologies, Skills intelligence and talent marketplace analytics, Expertise in data storytelling and executive reporting. AI & Emerging Technology Skills Generative AI solutions design and implementation, Microsoft Copilot ecosystem expertise, Copilot Studio and conversational AI development, Agentic AI architecture and orchestration, Retrieval-Augmented Generation (RAG) patterns, Prompt engineering and AI governance, Responsible AI and model explainability, Knowledge management and semantic search solutions. Data & Technology Skills Data Bricks, Microsoft Fabric, Power BI and advanced visualization. SQL and advanced data modelling. Microsoft Copilot, Copilot Studio, Azure AI, Enterprise GenAI platforms and Machine Learning Python and R, Modern cloud analytics architectures. API and data integration concepts, Data governance and metadata management. Leadership Competencies Executive presence, Strategic thinking, Innovation mindset, Change leadership. Product-centric thinking, Collaboration across global teams, Enterprise influence and stakeholder engagement. Ability to cope with ambiguity; to drive change and performance outcomes in a complex and agile environment. Supervision Responsibilities: Work closely with the Leads across Global Talent and wider Talent Functions to ensure the provision of services that support business and functional delivery. Lead / manage a team of expert data analytics specialists responsible for functional execution, also build skills and capabilities of the team. Develop AI capabilities, define key AI competencies for the team, and ensure provision of learning to advance skills Independently maintain and leverage (when appropriate) an internal network, including effective partnerships with senior stakeholders, across EY practices / functions that will enable personal effectiveness in the position. Other Requirements: Due to global nature of the role; travel and willingness to work alternative hours will be required. Due to global nature of the role; English language skills - excellent written and verbal communication will be required. Job Requirements: Education: Bachelor's degree in data science, Analytics, Statistics, Computer Science, Economics, Business Analytics, Organizational Psychology, Industrial Engineering, Human Resources, or related discipline. . click apply for full job details
Job Title: IT Project Manager (Cloud & Infrastructure Delivery Focused) Pay Type : SALARIED EXEMPT Location: Hybrid, Washington, DC (Must Work East Coast Hours) Citizenship: U.S. Citizenship (Required) Summary of Position Role/Responsibilities The IT Project Manager (Cloud & Infrastructure Delivery Focus) oversees the delivery of cloud, network, and infrastructure security engineering initiatives across Quzara's federal and commercial environments. This role manages schedules, dependencies, risks, and reporting to support modernization efforts, coordinates technical execution among engineering teams, and ensures readiness for deployment. The ideal candidate possesses strong project management skills and experience with cloud and infrastructure delivery in regulated or high-availability settings, maintaining alignment with performance, availability, and continuity goals. Essential Functions of the Job Manage cloud and infrastructure delivery projects, ensuring alignment with defined scope, timelines, and technical objectives. Coordinate with Cloud Engineers, Network Security Engineers, and Infrastructure teams to support execution of engineering workstreams. Develop and maintain deployment schedules, tracking milestones and ensuring readiness for implementation activities. Track and manage dependencies, environment readiness, and change management activities across all phases of delivery. Identify and manage risks related to performance, system availability, and business continuity, escalating issues as needed. Provide delivery-focused progress reporting, including status updates, risk summaries, and milestone tracking to stakeholders. Support coordination of infrastructure changes, upgrades, and modernization activities across cloud and on-prem environments. Ensure consistent communication and alignment between technical teams, program management, and leadership. Marginal Functions of the Job Other duties as assigned Normal Work Schedule : This full-time role runs Monday to Friday, 8:30 AM-5:30 PM and requires flexibility to work remotely or on-site (if applicable per client RTO policies). On occasion additional hours may be necessary. Education, Training, and Experience Bachelor's degree in Information Technology, Computer Science, Business Administration, or a related field. 5-8+ years of experience in IT project management, with a focus on cloud, infrastructure, or engineering delivery. Experience managing cloud and infrastructure modernization projects, including deployment and change coordination. Familiarity with cloud platforms such as AWS and/or Microsoft Azure, and infrastructure environments. Experience coordinating with engineering teams across cloud, network, and security domains. Strong understanding of project scheduling, dependency management, and change management processes. Ability to manage risks related to system performance, availability, and continuity. Excellent organizational and communication skills, with the ability to manage multiple workstreams simultaneously. Must be a U.S. Citizen and eligible to support federal contracting environments. Preferred Certifications Project Management Professional (PMP) Certified Scrum Master (CSM) or Agile certification Cloud-related certifications (e.g., AWS Certified Cloud Practitioner, Azure Fundamentals) EEO Statement The Company is an Equal Employment Opportunity (EEO) employer and does not discriminate based on race, color, religion, sex, sexual orientation, national origin, age, marital status, disability, veteran's status, or any other basis protected by applicable discrimination laws.
09/24/2026
Full time
Job Title: IT Project Manager (Cloud & Infrastructure Delivery Focused) Pay Type : SALARIED EXEMPT Location: Hybrid, Washington, DC (Must Work East Coast Hours) Citizenship: U.S. Citizenship (Required) Summary of Position Role/Responsibilities The IT Project Manager (Cloud & Infrastructure Delivery Focus) oversees the delivery of cloud, network, and infrastructure security engineering initiatives across Quzara's federal and commercial environments. This role manages schedules, dependencies, risks, and reporting to support modernization efforts, coordinates technical execution among engineering teams, and ensures readiness for deployment. The ideal candidate possesses strong project management skills and experience with cloud and infrastructure delivery in regulated or high-availability settings, maintaining alignment with performance, availability, and continuity goals. Essential Functions of the Job Manage cloud and infrastructure delivery projects, ensuring alignment with defined scope, timelines, and technical objectives. Coordinate with Cloud Engineers, Network Security Engineers, and Infrastructure teams to support execution of engineering workstreams. Develop and maintain deployment schedules, tracking milestones and ensuring readiness for implementation activities. Track and manage dependencies, environment readiness, and change management activities across all phases of delivery. Identify and manage risks related to performance, system availability, and business continuity, escalating issues as needed. Provide delivery-focused progress reporting, including status updates, risk summaries, and milestone tracking to stakeholders. Support coordination of infrastructure changes, upgrades, and modernization activities across cloud and on-prem environments. Ensure consistent communication and alignment between technical teams, program management, and leadership. Marginal Functions of the Job Other duties as assigned Normal Work Schedule : This full-time role runs Monday to Friday, 8:30 AM-5:30 PM and requires flexibility to work remotely or on-site (if applicable per client RTO policies). On occasion additional hours may be necessary. Education, Training, and Experience Bachelor's degree in Information Technology, Computer Science, Business Administration, or a related field. 5-8+ years of experience in IT project management, with a focus on cloud, infrastructure, or engineering delivery. Experience managing cloud and infrastructure modernization projects, including deployment and change coordination. Familiarity with cloud platforms such as AWS and/or Microsoft Azure, and infrastructure environments. Experience coordinating with engineering teams across cloud, network, and security domains. Strong understanding of project scheduling, dependency management, and change management processes. Ability to manage risks related to system performance, availability, and continuity. Excellent organizational and communication skills, with the ability to manage multiple workstreams simultaneously. Must be a U.S. Citizen and eligible to support federal contracting environments. Preferred Certifications Project Management Professional (PMP) Certified Scrum Master (CSM) or Agile certification Cloud-related certifications (e.g., AWS Certified Cloud Practitioner, Azure Fundamentals) EEO Statement The Company is an Equal Employment Opportunity (EEO) employer and does not discriminate based on race, color, religion, sex, sexual orientation, national origin, age, marital status, disability, veteran's status, or any other basis protected by applicable discrimination laws.
About you and this role: Robust AI is a fast-growing, early-stage startup founded in 2019 by an unsurpassed team of veterans in robotics, AI, and business. We are a collaborative group with a wide range of backgrounds and perspectives, seeking talented individuals who are just as excited about robotics and AI as we are! Help us redefine the very foundation of robotics and build robots that are smart, collaborative, robust, safe, flexible, and genuinely autonomous. As a Pre-Deployment Manager at Robust AI, you will play a critical role in planning and executing customer deployments of the next generation of warehouse robotic systems. You will serve as the primary coordinator across customer stakeholders and internal teams during implementation, helping ensure launches are successful, risks are surfaced early, and communication stays clear throughout the deployment lifecycle. This is a high-visibility role reporting to the Director of Deployments and working closely with customer operations teams, Sales, Product, Engineering, Hardware, and Fleet Operations. You will possess a unique combination of customer-facing skills, operational rigor, problem-solving ability, and relationship management through effective communication. You are someone who is comfortable working in an early-stage startup environment, can collaborate across functions, and can pivot effectively as field conditions change. The base pay range for this role is between $120,000 and $150,000, dependent on your skills, qualifications and experience. Main responsibilities: Own day-to-day planning and coordination for customer deployments and launch readiness Serve as the primary point of contact for customer deployment execution and communication Build and manage project plans, milestones, action trackers, risk logs, and deployment status updates Run kickoff meetings, weekly deployment meetings, readiness reviews, and go-live check-ins with customer and internal teams Coordinate customer readiness across operations, facilities, IT/networking, training, staffing, and workflow requirements Partner with Robot Technicians, Engineering, Product, Hardware, Sales, and Customer Success leadership to support successful launches Escalate risks and blockers quickly and ensure timely follow-up across cross-functional teams Support onsite launch execution and customer communication during critical deployment periods Prepare status reports by gathering, analyzing, and summarizing relevant information Provide deployment metrics readouts and support post-launch reviews and lessons learned Build trusted customer relationships during deployment and early stabilization, and support expansion coordination over time as needed Able to travel on short notice up to 80% of the time within the United States for customer launches and onsite support What you'll bring to the table: BS in Business Administration, Operations, Engineering, or related field and at least 4 years of related work experience Strong knowledge and understanding of distribution and fulfillment operations Experience managing implementations, customer deployments, or complex operational projects Ability to communicate technical/complex information both verbally and in writing Self-motivated and able to solve problems independently and in customer settings Strong communication skills to collaborate effectively with internal and external teams Knowledge of and interest in diverse technical topics, including software, hardware, and robotics Strong leadership and relationship-building skills Ability to perform multiple tasks concurrently and respond to pressure situations effectively Experience building trust with customer stakeholders while driving execution and accountability What we offer: Base salary, depending on your skills, qualifications and experience Stock options and huge growth potential Strong startup (and fun) culture Medical, Dental, and Vision coverage Flexible vacation and sick leave practices Paid parental leave $120,000 - $150,000 a year Robust AI fosters a culture of belonging and a shared commitment to equality and equity. Having a diverse set of perspectives is key to ensuring AI and robotics serve the needs of all.
09/24/2026
Full time
About you and this role: Robust AI is a fast-growing, early-stage startup founded in 2019 by an unsurpassed team of veterans in robotics, AI, and business. We are a collaborative group with a wide range of backgrounds and perspectives, seeking talented individuals who are just as excited about robotics and AI as we are! Help us redefine the very foundation of robotics and build robots that are smart, collaborative, robust, safe, flexible, and genuinely autonomous. As a Pre-Deployment Manager at Robust AI, you will play a critical role in planning and executing customer deployments of the next generation of warehouse robotic systems. You will serve as the primary coordinator across customer stakeholders and internal teams during implementation, helping ensure launches are successful, risks are surfaced early, and communication stays clear throughout the deployment lifecycle. This is a high-visibility role reporting to the Director of Deployments and working closely with customer operations teams, Sales, Product, Engineering, Hardware, and Fleet Operations. You will possess a unique combination of customer-facing skills, operational rigor, problem-solving ability, and relationship management through effective communication. You are someone who is comfortable working in an early-stage startup environment, can collaborate across functions, and can pivot effectively as field conditions change. The base pay range for this role is between $120,000 and $150,000, dependent on your skills, qualifications and experience. Main responsibilities: Own day-to-day planning and coordination for customer deployments and launch readiness Serve as the primary point of contact for customer deployment execution and communication Build and manage project plans, milestones, action trackers, risk logs, and deployment status updates Run kickoff meetings, weekly deployment meetings, readiness reviews, and go-live check-ins with customer and internal teams Coordinate customer readiness across operations, facilities, IT/networking, training, staffing, and workflow requirements Partner with Robot Technicians, Engineering, Product, Hardware, Sales, and Customer Success leadership to support successful launches Escalate risks and blockers quickly and ensure timely follow-up across cross-functional teams Support onsite launch execution and customer communication during critical deployment periods Prepare status reports by gathering, analyzing, and summarizing relevant information Provide deployment metrics readouts and support post-launch reviews and lessons learned Build trusted customer relationships during deployment and early stabilization, and support expansion coordination over time as needed Able to travel on short notice up to 80% of the time within the United States for customer launches and onsite support What you'll bring to the table: BS in Business Administration, Operations, Engineering, or related field and at least 4 years of related work experience Strong knowledge and understanding of distribution and fulfillment operations Experience managing implementations, customer deployments, or complex operational projects Ability to communicate technical/complex information both verbally and in writing Self-motivated and able to solve problems independently and in customer settings Strong communication skills to collaborate effectively with internal and external teams Knowledge of and interest in diverse technical topics, including software, hardware, and robotics Strong leadership and relationship-building skills Ability to perform multiple tasks concurrently and respond to pressure situations effectively Experience building trust with customer stakeholders while driving execution and accountability What we offer: Base salary, depending on your skills, qualifications and experience Stock options and huge growth potential Strong startup (and fun) culture Medical, Dental, and Vision coverage Flexible vacation and sick leave practices Paid parental leave $120,000 - $150,000 a year Robust AI fosters a culture of belonging and a shared commitment to equality and equity. Having a diverse set of perspectives is key to ensuring AI and robotics serve the needs of all.
Description Looking for a rewarding and challenging career where you get to use your Restaurant experience to make a meaningful impact to the Greater Houston Metro restaurant industry on a daily basis? Wish to use your years of restaurant knowledge for a new career in POS technology? Well, join us at the rapidly growing Sora Partners! We work with some of the best restaurants in the country and are currently looking for happy and fun individuals who have meaningful experience using the TOAST POS platform in a restaurant setting as supervisors or Managers: Please do not apply if you do not have TOAST POS platform experience as a restaurant manager. In order to function successfully in this role, you will need to understand basic computer technology, have experience in restaurant operations, and comfort using front and back of house terminology. You will be installing, training and supporting our POS customers out in the field, and remotely. There is some mild ( 10# ) lifting of the Hardware which primarily consists of terminals, printers and other smaller devices, also since this is a Field role and not remote, candidates who wish to be considered must have a reliable vehicle and also possess legal vehicle Insurance as well as a legal, government-issued Driver's License. You must be comfortable speaking to and teaching groups of restaurant staff, managers and decision makers: from independent restaurants to restaurant groups, and from Front-Line employees to Directors, stakeholders and owners. Occasionally you will support our customers remotely and so you should have access to a quiet place, free from noise or distractions, in order to provide the required high-level of support. Some basic requirements are:1- Knowledge and experience specifically using TOAST POS (not just general POS knowledge) in a management role, with an ability and willingness to learn new and other POS solutions like Square.2- This is a field role: Mass Transit is not sufficient for this role.3- Willingness to keep a flexible schedule.: We work with restaurants and occasional weekend, or late-night work is to be expected.4- Helpful and friendly attitude with ability to adjust on the fly.5- A professional demeanor is required at all times.6 - Must live within the Houston TX Metro . Our employees also act as ambassadors: committed to customer success, and who are honest, tenacious professional and friendly. We focus on providing exceptional customer service and expect our new team members to embody that same level of commitment and enthusiasm. Flexible schedule, which includes early mornings, weekend work and overnight travel, should be expected and embraced. Job Type: Full-time Pay: $25.00 - $28.00 per hour Expected hours: 35 - 50 per week Benefits: 401(k) Dental insurance Health insurance Life insurance Paid time off Vision insurance Requirements Application Question(s): Do you have experience using Toast POS as a restaurant manager or supervisor? (required) Do you have a reliable automobile and legal Auto Insurance and Driver's license? (required) Experience: Restaurant manager/supervisor: 1 year (Required) Language: Required: full Fluency in the Spanish language to include reading and writing Shift availability: Day Shift (Required)Night Shift (Required)Overnight Shift (Required) Weekends (required) Willingness to travel (75% required) Work Location: Houston TX-On the road
09/24/2026
Full time
Description Looking for a rewarding and challenging career where you get to use your Restaurant experience to make a meaningful impact to the Greater Houston Metro restaurant industry on a daily basis? Wish to use your years of restaurant knowledge for a new career in POS technology? Well, join us at the rapidly growing Sora Partners! We work with some of the best restaurants in the country and are currently looking for happy and fun individuals who have meaningful experience using the TOAST POS platform in a restaurant setting as supervisors or Managers: Please do not apply if you do not have TOAST POS platform experience as a restaurant manager. In order to function successfully in this role, you will need to understand basic computer technology, have experience in restaurant operations, and comfort using front and back of house terminology. You will be installing, training and supporting our POS customers out in the field, and remotely. There is some mild ( 10# ) lifting of the Hardware which primarily consists of terminals, printers and other smaller devices, also since this is a Field role and not remote, candidates who wish to be considered must have a reliable vehicle and also possess legal vehicle Insurance as well as a legal, government-issued Driver's License. You must be comfortable speaking to and teaching groups of restaurant staff, managers and decision makers: from independent restaurants to restaurant groups, and from Front-Line employees to Directors, stakeholders and owners. Occasionally you will support our customers remotely and so you should have access to a quiet place, free from noise or distractions, in order to provide the required high-level of support. Some basic requirements are:1- Knowledge and experience specifically using TOAST POS (not just general POS knowledge) in a management role, with an ability and willingness to learn new and other POS solutions like Square.2- This is a field role: Mass Transit is not sufficient for this role.3- Willingness to keep a flexible schedule.: We work with restaurants and occasional weekend, or late-night work is to be expected.4- Helpful and friendly attitude with ability to adjust on the fly.5- A professional demeanor is required at all times.6 - Must live within the Houston TX Metro . Our employees also act as ambassadors: committed to customer success, and who are honest, tenacious professional and friendly. We focus on providing exceptional customer service and expect our new team members to embody that same level of commitment and enthusiasm. Flexible schedule, which includes early mornings, weekend work and overnight travel, should be expected and embraced. Job Type: Full-time Pay: $25.00 - $28.00 per hour Expected hours: 35 - 50 per week Benefits: 401(k) Dental insurance Health insurance Life insurance Paid time off Vision insurance Requirements Application Question(s): Do you have experience using Toast POS as a restaurant manager or supervisor? (required) Do you have a reliable automobile and legal Auto Insurance and Driver's license? (required) Experience: Restaurant manager/supervisor: 1 year (Required) Language: Required: full Fluency in the Spanish language to include reading and writing Shift availability: Day Shift (Required)Night Shift (Required)Overnight Shift (Required) Weekends (required) Willingness to travel (75% required) Work Location: Houston TX-On the road
Be part of a team that unleashes the power of leading-edge technologies to help improve the health and well-being of those most vulnerable in our country and communities. Working at Gainwell carries its rewards. You'll have an incredible opportunity to grow your career in a company that values work flexibility, learning, and career development. You'll add to your technical credentials and certifications while enjoying a generous, flexible vacation policy and educational assistance. We also have comprehensive leadership and technical development academies to help build your skills and capabilities. Summary Gainwell Technologies is seeking a Product Manager, Medicaid Claims Transformation , to lead Medicaid claims-related product domains as part of the transformation of our core adjudication products. This role is for a product leader who can combine deep Medicaid domain expertise, modern product management practices, and executive-level influence on shape platform strategy and turn complex payer and program needs into product direction. The Product Manager, Medicaid Claims Transformation will own domain strategy and outcomes across one or more claims-adjacent domains, including member, provider, benefits, clinical, and finance. The role will partner across product, engineering, architecture, operations, client-facing teams, and business stakeholders to modernize how Gainwell defines, builds, measures, and evolves core Medicaid capabilities. Your role in our mission Lead product strategy for Medicaid claims-related domains, translating member, provider, benefits, clinical, and finance needs into clear product outcomes and domain roadmaps. Shape the transformation of core adjudication capabilities by defining modern product direction, platform opportunities, and domain-level investment priorities. Develop a deep understanding of Medicaid program operations, claims workflows, regulatory and policy context, client pain points, market dynamics, and ecosystem shifts. Use product discovery, customer research, workflow analysis, data, and experimentation to validate problems, prioritize opportunities, and reduce delivery risk before large-scale build commitments. Partner with engineering, architecture, design, operations, implementation, sales, and client-facing teams to align domain strategy with feasible, scalable product execution. Frame ambiguous domain and platform decisions, evaluate tradeoffs, and bring recommendations forward with clear rationale, product economics, and business impact. Create and evangelize product narratives that help executives, delivery teams, and stakeholders understand the transformation vision and the why behind priority decisions. Define success measures for domain outcomes and use qualitative and quantitative insights to evaluate adoption, operational impact, user experience, and product performance. Identify new product opportunities within Medicaid claims and adjacent domains, including opportunities enabled by platform modernization, workflow redesign, automation, data, and interoperability. Coach and influence other product managers and cross-functional partners by modeling modern product practices and raising the quality of product decision-making. What we're looking for 12+ years of experience in Product Management, Software Development, Consulting, Technical Support, Business Analysis, and Data Analysis, with a proven ability to drive product strategy, innovation, and business outcomes. Deep expertise in Product Systems Design, Customization Strategies, and Integrating Software and Technology Solutions to meet complex business and operational requirements. Strong understanding of Technology Architecture, Mainframe Environments, Scheduling Software, and Related Enterprise Technologies, with the ability to align technical capabilities with business objectives. Experience partnering with clients and stakeholders to translate business, technical, and data requirements into scalable product solutions, leveraging software development tools, methodologies, and best practices. Demonstrated strengths in Product Development Methodologies, Strategic Planning, Analytical Problem Solving, Decision Making, and Prioritizing Initiatives in Complex Environments. Experience with AI Product use cases, solution design, and the application of artificial intelligence technologies to enhance business and product outcomes is preferred. What you should expect in this role Fully remote opportunity with the option to work anywhere within the United States Opportunities to travel through your work (0-10%) Willingness to work a flexible schedule to accommodate business needs and travel as required Video cameras must be used during all interviews, as well as during the initial week of orientation The deadline to submit applications for this posting is December 30, 2026 The pay range for this position is $108,500.00 - $155,000.00 per year, however, the base pay offered may vary depending on geographic region, internal equity, job-related knowledge, skills, and experience among other factors. Put your passion to work at Gainwell. You'll have the opportunity to grow your career in a company that values work flexibility, learning, and career development. All salaried, full-time candidates are eligible for our generous, flexible vacation policy, a 401(k) employer match, comprehensive health benefits, and educational assistance. We also have a variety of leadership and technical development academies to help build your skills and capabilities. We believe nothing is impossible when you bring together people who care deeply about making healthcare work better for everyone. Build your career with Gainwell, an industry leader. You'll be joining a company where collaboration, innovation, and inclusion fuel our growth. Learn more about Gainwell at our company website and visit our Careers site for all available job role openings. Gainwell Technologies is an Equal Opportunity Employer, where all qualified applicants will receive consideration for employment without regard to race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical condition), age, sexual orientation, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. Gainwell Technologies defines "wages" and "wage rates" to include "all forms of pay, including, but not limited to, salary, overtime pay, bonuses, stock, stock options, profit sharing and bonus plans, life insurance, vacation and holiday pay, cleaning or gasoline allowances, hotel accommodations, reimbursement for travel expenses, and benefits.
09/24/2026
Full time
Be part of a team that unleashes the power of leading-edge technologies to help improve the health and well-being of those most vulnerable in our country and communities. Working at Gainwell carries its rewards. You'll have an incredible opportunity to grow your career in a company that values work flexibility, learning, and career development. You'll add to your technical credentials and certifications while enjoying a generous, flexible vacation policy and educational assistance. We also have comprehensive leadership and technical development academies to help build your skills and capabilities. Summary Gainwell Technologies is seeking a Product Manager, Medicaid Claims Transformation , to lead Medicaid claims-related product domains as part of the transformation of our core adjudication products. This role is for a product leader who can combine deep Medicaid domain expertise, modern product management practices, and executive-level influence on shape platform strategy and turn complex payer and program needs into product direction. The Product Manager, Medicaid Claims Transformation will own domain strategy and outcomes across one or more claims-adjacent domains, including member, provider, benefits, clinical, and finance. The role will partner across product, engineering, architecture, operations, client-facing teams, and business stakeholders to modernize how Gainwell defines, builds, measures, and evolves core Medicaid capabilities. Your role in our mission Lead product strategy for Medicaid claims-related domains, translating member, provider, benefits, clinical, and finance needs into clear product outcomes and domain roadmaps. Shape the transformation of core adjudication capabilities by defining modern product direction, platform opportunities, and domain-level investment priorities. Develop a deep understanding of Medicaid program operations, claims workflows, regulatory and policy context, client pain points, market dynamics, and ecosystem shifts. Use product discovery, customer research, workflow analysis, data, and experimentation to validate problems, prioritize opportunities, and reduce delivery risk before large-scale build commitments. Partner with engineering, architecture, design, operations, implementation, sales, and client-facing teams to align domain strategy with feasible, scalable product execution. Frame ambiguous domain and platform decisions, evaluate tradeoffs, and bring recommendations forward with clear rationale, product economics, and business impact. Create and evangelize product narratives that help executives, delivery teams, and stakeholders understand the transformation vision and the why behind priority decisions. Define success measures for domain outcomes and use qualitative and quantitative insights to evaluate adoption, operational impact, user experience, and product performance. Identify new product opportunities within Medicaid claims and adjacent domains, including opportunities enabled by platform modernization, workflow redesign, automation, data, and interoperability. Coach and influence other product managers and cross-functional partners by modeling modern product practices and raising the quality of product decision-making. What we're looking for 12+ years of experience in Product Management, Software Development, Consulting, Technical Support, Business Analysis, and Data Analysis, with a proven ability to drive product strategy, innovation, and business outcomes. Deep expertise in Product Systems Design, Customization Strategies, and Integrating Software and Technology Solutions to meet complex business and operational requirements. Strong understanding of Technology Architecture, Mainframe Environments, Scheduling Software, and Related Enterprise Technologies, with the ability to align technical capabilities with business objectives. Experience partnering with clients and stakeholders to translate business, technical, and data requirements into scalable product solutions, leveraging software development tools, methodologies, and best practices. Demonstrated strengths in Product Development Methodologies, Strategic Planning, Analytical Problem Solving, Decision Making, and Prioritizing Initiatives in Complex Environments. Experience with AI Product use cases, solution design, and the application of artificial intelligence technologies to enhance business and product outcomes is preferred. What you should expect in this role Fully remote opportunity with the option to work anywhere within the United States Opportunities to travel through your work (0-10%) Willingness to work a flexible schedule to accommodate business needs and travel as required Video cameras must be used during all interviews, as well as during the initial week of orientation The deadline to submit applications for this posting is December 30, 2026 The pay range for this position is $108,500.00 - $155,000.00 per year, however, the base pay offered may vary depending on geographic region, internal equity, job-related knowledge, skills, and experience among other factors. Put your passion to work at Gainwell. You'll have the opportunity to grow your career in a company that values work flexibility, learning, and career development. All salaried, full-time candidates are eligible for our generous, flexible vacation policy, a 401(k) employer match, comprehensive health benefits, and educational assistance. We also have a variety of leadership and technical development academies to help build your skills and capabilities. We believe nothing is impossible when you bring together people who care deeply about making healthcare work better for everyone. Build your career with Gainwell, an industry leader. You'll be joining a company where collaboration, innovation, and inclusion fuel our growth. Learn more about Gainwell at our company website and visit our Careers site for all available job role openings. Gainwell Technologies is an Equal Opportunity Employer, where all qualified applicants will receive consideration for employment without regard to race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical condition), age, sexual orientation, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. Gainwell Technologies defines "wages" and "wage rates" to include "all forms of pay, including, but not limited to, salary, overtime pay, bonuses, stock, stock options, profit sharing and bonus plans, life insurance, vacation and holiday pay, cleaning or gasoline allowances, hotel accommodations, reimbursement for travel expenses, and benefits.
Be part of a team that unleashes the power of leading-edge technologies to help improve the health and well-being of those most vulnerable in our country and communities. Working at Gainwell carries its rewards. You'll have an incredible opportunity to grow your career in a company that values work flexibility, learning, and career development. You'll add to your technical credentials and certifications while enjoying a generous, flexible vacation policy and educational assistance. We also have comprehensive leadership and technical development academies to help build your skills and capabilities. Summary Gainwell Technologies is seeking a Product Manager, Medicaid Claims Transformation , to lead Medicaid claims-related product domains as part of the transformation of our core adjudication products. This role is for a product leader who can combine deep Medicaid domain expertise, modern product management practices, and executive-level influence on shape platform strategy and turn complex payer and program needs into product direction. The Product Manager, Medicaid Claims Transformation will own domain strategy and outcomes across one or more claims-adjacent domains, including member, provider, benefits, clinical, and finance. The role will partner across product, engineering, architecture, operations, client-facing teams, and business stakeholders to modernize how Gainwell defines, builds, measures, and evolves core Medicaid capabilities. Your role in our mission Lead product strategy for Medicaid claims-related domains, translating member, provider, benefits, clinical, and finance needs into clear product outcomes and domain roadmaps. Shape the transformation of core adjudication capabilities by defining modern product direction, platform opportunities, and domain-level investment priorities. Develop a deep understanding of Medicaid program operations, claims workflows, regulatory and policy context, client pain points, market dynamics, and ecosystem shifts. Use product discovery, customer research, workflow analysis, data, and experimentation to validate problems, prioritize opportunities, and reduce delivery risk before large-scale build commitments. Partner with engineering, architecture, design, operations, implementation, sales, and client-facing teams to align domain strategy with feasible, scalable product execution. Frame ambiguous domain and platform decisions, evaluate tradeoffs, and bring recommendations forward with clear rationale, product economics, and business impact. Create and evangelize product narratives that help executives, delivery teams, and stakeholders understand the transformation vision and the why behind priority decisions. Define success measures for domain outcomes and use qualitative and quantitative insights to evaluate adoption, operational impact, user experience, and product performance. Identify new product opportunities within Medicaid claims and adjacent domains, including opportunities enabled by platform modernization, workflow redesign, automation, data, and interoperability. Coach and influence other product managers and cross-functional partners by modeling modern product practices and raising the quality of product decision-making. What we're looking for 12+ years of experience in Product Management, Software Development, Consulting, Technical Support, Business Analysis, and Data Analysis, with a proven ability to drive product strategy, innovation, and business outcomes. Deep expertise in Product Systems Design, Customization Strategies, and Integrating Software and Technology Solutions to meet complex business and operational requirements. Strong understanding of Technology Architecture, Mainframe Environments, Scheduling Software, and Related Enterprise Technologies, with the ability to align technical capabilities with business objectives. Experience partnering with clients and stakeholders to translate business, technical, and data requirements into scalable product solutions, leveraging software development tools, methodologies, and best practices. Demonstrated strengths in Product Development Methodologies, Strategic Planning, Analytical Problem Solving, Decision Making, and Prioritizing Initiatives in Complex Environments. Experience with AI Product use cases, solution design, and the application of artificial intelligence technologies to enhance business and product outcomes is preferred. What you should expect in this role Fully remote opportunity with the option to work anywhere within the United States Opportunities to travel through your work (0-10%) Willingness to work a flexible schedule to accommodate business needs and travel as required Video cameras must be used during all interviews, as well as during the initial week of orientation The deadline to submit applications for this posting is December 30, 2026 The pay range for this position is $108,500.00 - $155,000.00 per year, however, the base pay offered may vary depending on geographic region, internal equity, job-related knowledge, skills, and experience among other factors. Put your passion to work at Gainwell. You'll have the opportunity to grow your career in a company that values work flexibility, learning, and career development. All salaried, full-time candidates are eligible for our generous, flexible vacation policy, a 401(k) employer match, comprehensive health benefits, and educational assistance. We also have a variety of leadership and technical development academies to help build your skills and capabilities. We believe nothing is impossible when you bring together people who care deeply about making healthcare work better for everyone. Build your career with Gainwell, an industry leader. You'll be joining a company where collaboration, innovation, and inclusion fuel our growth. Learn more about Gainwell at our company website and visit our Careers site for all available job role openings. Gainwell Technologies is an Equal Opportunity Employer, where all qualified applicants will receive consideration for employment without regard to race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical condition), age, sexual orientation, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. Gainwell Technologies defines "wages" and "wage rates" to include "all forms of pay, including, but not limited to, salary, overtime pay, bonuses, stock, stock options, profit sharing and bonus plans, life insurance, vacation and holiday pay, cleaning or gasoline allowances, hotel accommodations, reimbursement for travel expenses, and benefits.
09/24/2026
Full time
Be part of a team that unleashes the power of leading-edge technologies to help improve the health and well-being of those most vulnerable in our country and communities. Working at Gainwell carries its rewards. You'll have an incredible opportunity to grow your career in a company that values work flexibility, learning, and career development. You'll add to your technical credentials and certifications while enjoying a generous, flexible vacation policy and educational assistance. We also have comprehensive leadership and technical development academies to help build your skills and capabilities. Summary Gainwell Technologies is seeking a Product Manager, Medicaid Claims Transformation , to lead Medicaid claims-related product domains as part of the transformation of our core adjudication products. This role is for a product leader who can combine deep Medicaid domain expertise, modern product management practices, and executive-level influence on shape platform strategy and turn complex payer and program needs into product direction. The Product Manager, Medicaid Claims Transformation will own domain strategy and outcomes across one or more claims-adjacent domains, including member, provider, benefits, clinical, and finance. The role will partner across product, engineering, architecture, operations, client-facing teams, and business stakeholders to modernize how Gainwell defines, builds, measures, and evolves core Medicaid capabilities. Your role in our mission Lead product strategy for Medicaid claims-related domains, translating member, provider, benefits, clinical, and finance needs into clear product outcomes and domain roadmaps. Shape the transformation of core adjudication capabilities by defining modern product direction, platform opportunities, and domain-level investment priorities. Develop a deep understanding of Medicaid program operations, claims workflows, regulatory and policy context, client pain points, market dynamics, and ecosystem shifts. Use product discovery, customer research, workflow analysis, data, and experimentation to validate problems, prioritize opportunities, and reduce delivery risk before large-scale build commitments. Partner with engineering, architecture, design, operations, implementation, sales, and client-facing teams to align domain strategy with feasible, scalable product execution. Frame ambiguous domain and platform decisions, evaluate tradeoffs, and bring recommendations forward with clear rationale, product economics, and business impact. Create and evangelize product narratives that help executives, delivery teams, and stakeholders understand the transformation vision and the why behind priority decisions. Define success measures for domain outcomes and use qualitative and quantitative insights to evaluate adoption, operational impact, user experience, and product performance. Identify new product opportunities within Medicaid claims and adjacent domains, including opportunities enabled by platform modernization, workflow redesign, automation, data, and interoperability. Coach and influence other product managers and cross-functional partners by modeling modern product practices and raising the quality of product decision-making. What we're looking for 12+ years of experience in Product Management, Software Development, Consulting, Technical Support, Business Analysis, and Data Analysis, with a proven ability to drive product strategy, innovation, and business outcomes. Deep expertise in Product Systems Design, Customization Strategies, and Integrating Software and Technology Solutions to meet complex business and operational requirements. Strong understanding of Technology Architecture, Mainframe Environments, Scheduling Software, and Related Enterprise Technologies, with the ability to align technical capabilities with business objectives. Experience partnering with clients and stakeholders to translate business, technical, and data requirements into scalable product solutions, leveraging software development tools, methodologies, and best practices. Demonstrated strengths in Product Development Methodologies, Strategic Planning, Analytical Problem Solving, Decision Making, and Prioritizing Initiatives in Complex Environments. Experience with AI Product use cases, solution design, and the application of artificial intelligence technologies to enhance business and product outcomes is preferred. What you should expect in this role Fully remote opportunity with the option to work anywhere within the United States Opportunities to travel through your work (0-10%) Willingness to work a flexible schedule to accommodate business needs and travel as required Video cameras must be used during all interviews, as well as during the initial week of orientation The deadline to submit applications for this posting is December 30, 2026 The pay range for this position is $108,500.00 - $155,000.00 per year, however, the base pay offered may vary depending on geographic region, internal equity, job-related knowledge, skills, and experience among other factors. Put your passion to work at Gainwell. You'll have the opportunity to grow your career in a company that values work flexibility, learning, and career development. All salaried, full-time candidates are eligible for our generous, flexible vacation policy, a 401(k) employer match, comprehensive health benefits, and educational assistance. We also have a variety of leadership and technical development academies to help build your skills and capabilities. We believe nothing is impossible when you bring together people who care deeply about making healthcare work better for everyone. Build your career with Gainwell, an industry leader. You'll be joining a company where collaboration, innovation, and inclusion fuel our growth. Learn more about Gainwell at our company website and visit our Careers site for all available job role openings. Gainwell Technologies is an Equal Opportunity Employer, where all qualified applicants will receive consideration for employment without regard to race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical condition), age, sexual orientation, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. Gainwell Technologies defines "wages" and "wage rates" to include "all forms of pay, including, but not limited to, salary, overtime pay, bonuses, stock, stock options, profit sharing and bonus plans, life insurance, vacation and holiday pay, cleaning or gasoline allowances, hotel accommodations, reimbursement for travel expenses, and benefits.
Are you ready to unlock intelligence? If you don't think you meet all of the criteria below but are still interested in the job, please apply. Nobody checks every box - we're looking for candidates that are particularly strong in a few areas, and have some interest and capabilities in others. About the Role: We are seeking a Forward Deployed Engineer (FDE) to join Kong's growing Professional Services organization. This is a highly strategic, customer-facing engineering role focused on helping enterprise customers accelerate adoption of Kong's API and AI Connectivity platform through hands-on implementation, automation, migration tooling, and solution engineering. As an FDE, you will work directly alongside customer engineering teams to solve complex technical challenges, accelerate migrations, build reusable automation, and deliver production-grade solutions in real-world enterprise environments. You will operate at the intersection of software engineering, architecture, platform engineering, and customer delivery. This role is ideal for engineers who enjoy building, coding, solving ambiguous problems, and working directly with customers on mission-critical initiatives involving APIs, AI gateways, service connectivity, modernization, and cloud-native platforms. You will collaborate closely with Solutions Architects, Engagement Managers, Product Engineering, Customer Success, and Product teams to ensure successful customer outcomes while also influencing Kong's product direction based on field experience. Working at Kong is a unique opportunity to make a massive impact on Fortune 50/500 customers as they modernize mission-critical systems for the AI era. What's in it for you? Impact Work directly with some of the world's largest enterprises to modernize API infrastructure and accelerate AI adoption through Kong's connectivity platform. Growth Accelerate your technical and professional growth through exposure to cutting-edge cloud-native technologies, distributed systems, AI connectivity, automation frameworks, and large-scale enterprise architectures. Opportunity Be part of a rapidly growing Professional Services organization that is shaping how enterprises adopt APIs, AI gateways, and modern connectivity platforms globally. What You'll Do: Partner directly with enterprise customers to design, build, and implement Kong-based solutions across cloud, hybrid, and on-premise environments. Lead hands-on implementation efforts for API gateways, AI gateways, service mesh, developer portals, and related connectivity technologies. Build automation frameworks, migration tooling, custom integrations, and reusable accelerators to simplify customer adoption and modernization efforts. Drive migration initiatives from legacy API management platforms to Kong. Work closely with customer developers, platform teams, architects, security teams, and executives to solve complex technical and operational challenges. Develop production-grade code, scripts, plugins, CI/CD integrations, Kubernetes automation, and infrastructure tooling as part of customer engagements. Collaborate with Kong Product and Engineering teams to influence roadmap priorities based on real-world customer feedback and implementation learnings. Create reusable best practices, technical assets, reference architectures, documentation, and design patterns to scale delivery excellence across the organization. Support strategic customer initiatives involving AI connectivity, governance, platform modernization, and cloud-native transformation. What You'll Bring: Experience 8+ years in customer-facing engineering, platform engineering, professional services, site reliability engineering, or software engineering roles. Strong hands-on software engineering and implementation experience. Experience with API gateways, API management, integrations, or distributed systems platforms. Strong Kubernetes and cloud-native infrastructure expertise. Experience building automation frameworks, deployment tooling, CI/CD pipelines, or migration tooling. Strong proficiency in Linux, networking, cloud infrastructure, and DevOps practices. Experience with major cloud providers including AWS, Azure, or GCP. Programming experience in languages such as Python, Go, Java, JavaScript, or Lua. Experience with Infrastructure-as-Code and automation tooling such as Terraform, Helm, Ansible, or GitOps frameworks. Prior experience working in API Management, Open Source, Middleware, SaaS, or Infrastructure software companies is highly preferred. Preferred Attributes: Strong builder mindset with the ability to solve complex technical problems with minimal supervision. Comfortable operating in ambiguous, fast-moving enterprise environments. Passion for working directly with customers and delivering measurable business outcomes. Excellent communication and collaboration skills across technical and executive audiences. Highly organized with strong prioritization and execution skills. Passion for innovation, modern infrastructure, APIs, AI, and cloud-native technologies. Team-oriented with a strong sense of ownership and accountability. About Kong: Kong Inc., the AI Connectivity Company, is building the connectivity layer of AI. Trusted by the Fortune 500 and AI-native startups alike, Kong's unified API and AI platform enables organizations to secure, manage, accelerate, govern, and monetize the flow of intelligence across APIs and AI traffic - on any model, any cloud. For more information, visit .
09/24/2026
Full time
Are you ready to unlock intelligence? If you don't think you meet all of the criteria below but are still interested in the job, please apply. Nobody checks every box - we're looking for candidates that are particularly strong in a few areas, and have some interest and capabilities in others. About the Role: We are seeking a Forward Deployed Engineer (FDE) to join Kong's growing Professional Services organization. This is a highly strategic, customer-facing engineering role focused on helping enterprise customers accelerate adoption of Kong's API and AI Connectivity platform through hands-on implementation, automation, migration tooling, and solution engineering. As an FDE, you will work directly alongside customer engineering teams to solve complex technical challenges, accelerate migrations, build reusable automation, and deliver production-grade solutions in real-world enterprise environments. You will operate at the intersection of software engineering, architecture, platform engineering, and customer delivery. This role is ideal for engineers who enjoy building, coding, solving ambiguous problems, and working directly with customers on mission-critical initiatives involving APIs, AI gateways, service connectivity, modernization, and cloud-native platforms. You will collaborate closely with Solutions Architects, Engagement Managers, Product Engineering, Customer Success, and Product teams to ensure successful customer outcomes while also influencing Kong's product direction based on field experience. Working at Kong is a unique opportunity to make a massive impact on Fortune 50/500 customers as they modernize mission-critical systems for the AI era. What's in it for you? Impact Work directly with some of the world's largest enterprises to modernize API infrastructure and accelerate AI adoption through Kong's connectivity platform. Growth Accelerate your technical and professional growth through exposure to cutting-edge cloud-native technologies, distributed systems, AI connectivity, automation frameworks, and large-scale enterprise architectures. Opportunity Be part of a rapidly growing Professional Services organization that is shaping how enterprises adopt APIs, AI gateways, and modern connectivity platforms globally. What You'll Do: Partner directly with enterprise customers to design, build, and implement Kong-based solutions across cloud, hybrid, and on-premise environments. Lead hands-on implementation efforts for API gateways, AI gateways, service mesh, developer portals, and related connectivity technologies. Build automation frameworks, migration tooling, custom integrations, and reusable accelerators to simplify customer adoption and modernization efforts. Drive migration initiatives from legacy API management platforms to Kong. Work closely with customer developers, platform teams, architects, security teams, and executives to solve complex technical and operational challenges. Develop production-grade code, scripts, plugins, CI/CD integrations, Kubernetes automation, and infrastructure tooling as part of customer engagements. Collaborate with Kong Product and Engineering teams to influence roadmap priorities based on real-world customer feedback and implementation learnings. Create reusable best practices, technical assets, reference architectures, documentation, and design patterns to scale delivery excellence across the organization. Support strategic customer initiatives involving AI connectivity, governance, platform modernization, and cloud-native transformation. What You'll Bring: Experience 8+ years in customer-facing engineering, platform engineering, professional services, site reliability engineering, or software engineering roles. Strong hands-on software engineering and implementation experience. Experience with API gateways, API management, integrations, or distributed systems platforms. Strong Kubernetes and cloud-native infrastructure expertise. Experience building automation frameworks, deployment tooling, CI/CD pipelines, or migration tooling. Strong proficiency in Linux, networking, cloud infrastructure, and DevOps practices. Experience with major cloud providers including AWS, Azure, or GCP. Programming experience in languages such as Python, Go, Java, JavaScript, or Lua. Experience with Infrastructure-as-Code and automation tooling such as Terraform, Helm, Ansible, or GitOps frameworks. Prior experience working in API Management, Open Source, Middleware, SaaS, or Infrastructure software companies is highly preferred. Preferred Attributes: Strong builder mindset with the ability to solve complex technical problems with minimal supervision. Comfortable operating in ambiguous, fast-moving enterprise environments. Passion for working directly with customers and delivering measurable business outcomes. Excellent communication and collaboration skills across technical and executive audiences. Highly organized with strong prioritization and execution skills. Passion for innovation, modern infrastructure, APIs, AI, and cloud-native technologies. Team-oriented with a strong sense of ownership and accountability. About Kong: Kong Inc., the AI Connectivity Company, is building the connectivity layer of AI. Trusted by the Fortune 500 and AI-native startups alike, Kong's unified API and AI platform enables organizations to secure, manage, accelerate, govern, and monetize the flow of intelligence across APIs and AI traffic - on any model, any cloud. For more information, visit .
About Latent Health Latent Health is redefining how healthcare systems unlock the power of clinical data. Through our AI-powered platform, we streamline clinical workflows, reduce clinician burden, and improve health system efficiency. We partner with leading hospitals and health systems to deliver fast, reliable, and high-impact implementations that transform patient care. Role Overview The Implementation Project Manager is responsible for leading end-to-end onboarding and deployment projects for health systems adopting Latent's platform. You'll drive timelines, coordination, communication, and successful activation across clinical, IT, integration, and operational stakeholders. This role requires exceptional organization, customer-facing presence, and the ability to operate in the dynamic environment of a high-growth healthcare SaaS startup. You will ensure customers go live efficiently, achieve measurable value quickly, and are set up for long-term success. Key Responsibilities Project Leadership & Customer Delivery Lead full-cycle implementation projects - from kickoff through go-live and stabilization - across a portfolio of health system customers. Build and manage detailed project plans, timelines, milestones, and risk logs. Facilitate cross-functional meetings with customer IT, clinical operations, and technical teams (e.g., data integration, SSO, EHR workflows). Serve as the primary project point of contact, ensuring exceptional communication and alignment across all parties. Technical Coordination Coordinate collection and validation of required technical inputs (integration specifications, data feeds, configuration requirements). Partner with Latent engineering, product, and clinical teams to ensure smooth handoffs and timely execution. Understand and translate technical requirements to non-technical stakeholders (and vice versa). Monitor progress of integrations (e.g., Epic, Cerner, Meditech) and escalate blockers proactively. Operational Excellence Own project documentation, including requirements tracking, decisions, status updates, risk mitigation plans, and post-go-live handoff materials. Build repeatable processes and contribute to the evolution of Latent's implementation playbooks and best practices. Track and report project KPIs (e.g., activation timelines, milestone adherence, customer readiness). Ensure clean transition to Support teams post-implementation. Customer Relationship & Change Management Build trusted relationships with clinical and operational leaders at customer sites. Guide customers through workflow adoption, training readiness, and change-management planning. Ensure customer stakeholders understand project expectations, responsibilities, and timelines. Drive customer accountability to keep projects on track and on time. Qualifications Required 3-7 years of project management experience in healthcare, SaaS implementations, or health IT. Strong understanding of healthcare environments - clinical operations, IT workflows, data integrations. Proven ability to manage multiple complex projects simultaneously. Excellent communication, meeting facilitation, and stakeholder management skills. Demonstrated ability to drive accountability and navigate competing priorities. Experience with project management tools (e.g., Asana, Jira, Smartsheet, ). Comfort operating in a fast-paced, ambiguous startup environment. Preferred Experience implementing solutions with EHR systems (Epic, Cerner, Meditech). PMP, CSM, or other project management certification. Background in clinical workflow optimization or healthcare operations. Prior experience in Series A-C SaaS or health-tech companies. Success in This Role Looks Like Customers consistently launch on time, on budget, and with high satisfaction. Clear, proactive communication minimizes surprises and escalations. Implementation cycles shorten over time due to improved processes and customer readiness. Cross-functional teams view you as a trusted coordinator and problem-solver. Customers transition seamlessly to Customer Success with strong early adoption signals. Why Latent Health Mission-driven team transforming healthcare through cutting-edge AI. Fast-growing environment with opportunities for career growth. Deep collaboration across clinical, technical, and product teams. A chance to make a real impact on clinician workflows and patient outcomes.
09/24/2026
Full time
About Latent Health Latent Health is redefining how healthcare systems unlock the power of clinical data. Through our AI-powered platform, we streamline clinical workflows, reduce clinician burden, and improve health system efficiency. We partner with leading hospitals and health systems to deliver fast, reliable, and high-impact implementations that transform patient care. Role Overview The Implementation Project Manager is responsible for leading end-to-end onboarding and deployment projects for health systems adopting Latent's platform. You'll drive timelines, coordination, communication, and successful activation across clinical, IT, integration, and operational stakeholders. This role requires exceptional organization, customer-facing presence, and the ability to operate in the dynamic environment of a high-growth healthcare SaaS startup. You will ensure customers go live efficiently, achieve measurable value quickly, and are set up for long-term success. Key Responsibilities Project Leadership & Customer Delivery Lead full-cycle implementation projects - from kickoff through go-live and stabilization - across a portfolio of health system customers. Build and manage detailed project plans, timelines, milestones, and risk logs. Facilitate cross-functional meetings with customer IT, clinical operations, and technical teams (e.g., data integration, SSO, EHR workflows). Serve as the primary project point of contact, ensuring exceptional communication and alignment across all parties. Technical Coordination Coordinate collection and validation of required technical inputs (integration specifications, data feeds, configuration requirements). Partner with Latent engineering, product, and clinical teams to ensure smooth handoffs and timely execution. Understand and translate technical requirements to non-technical stakeholders (and vice versa). Monitor progress of integrations (e.g., Epic, Cerner, Meditech) and escalate blockers proactively. Operational Excellence Own project documentation, including requirements tracking, decisions, status updates, risk mitigation plans, and post-go-live handoff materials. Build repeatable processes and contribute to the evolution of Latent's implementation playbooks and best practices. Track and report project KPIs (e.g., activation timelines, milestone adherence, customer readiness). Ensure clean transition to Support teams post-implementation. Customer Relationship & Change Management Build trusted relationships with clinical and operational leaders at customer sites. Guide customers through workflow adoption, training readiness, and change-management planning. Ensure customer stakeholders understand project expectations, responsibilities, and timelines. Drive customer accountability to keep projects on track and on time. Qualifications Required 3-7 years of project management experience in healthcare, SaaS implementations, or health IT. Strong understanding of healthcare environments - clinical operations, IT workflows, data integrations. Proven ability to manage multiple complex projects simultaneously. Excellent communication, meeting facilitation, and stakeholder management skills. Demonstrated ability to drive accountability and navigate competing priorities. Experience with project management tools (e.g., Asana, Jira, Smartsheet, ). Comfort operating in a fast-paced, ambiguous startup environment. Preferred Experience implementing solutions with EHR systems (Epic, Cerner, Meditech). PMP, CSM, or other project management certification. Background in clinical workflow optimization or healthcare operations. Prior experience in Series A-C SaaS or health-tech companies. Success in This Role Looks Like Customers consistently launch on time, on budget, and with high satisfaction. Clear, proactive communication minimizes surprises and escalations. Implementation cycles shorten over time due to improved processes and customer readiness. Cross-functional teams view you as a trusted coordinator and problem-solver. Customers transition seamlessly to Customer Success with strong early adoption signals. Why Latent Health Mission-driven team transforming healthcare through cutting-edge AI. Fast-growing environment with opportunities for career growth. Deep collaboration across clinical, technical, and product teams. A chance to make a real impact on clinician workflows and patient outcomes.
Job Description Supports and enhances products on larger, more complex or multiple products for enterprise resource planning, budgeting, data warehousing, and financial reporting. Collaborates with Finance and vendors to ensure products and solutions are properly supported. Provides support to ensure all products are functioning optimally, data integrity is intact and financial reports are in alignment with are produced timely and accurately. Participates in implementing or enhancing products and solutions following the hybrid product/project development and implementation lifecycle. Job Responsibility Supports various financial systems within the portfolio, following the support model, while providing excellent customer service to all customers and end users. Analyzes and troubleshoots production problems; escalates issues and executes solutions. Works as a project / product lead on larger, more complex projects and/or on multiple projects and solutions. Collaborates with multiple product teams and solution teams, IT and Business Product Managers, IT Business Solutions Leads, and other key stakeholders. Implements or enhances systems, following the software and solution delivery lifecycle and hybrid project management methods. Maintains direct responsibility for successful outcome of assigned project(s) and solutions; interacts with end users to assist in collecting, documenting, and analyzing business requirements; communicates clearly and timely with customers and end users. Creates clear, technical designs, and specifications; develops solutions and communicates requirements to external developers. Develops, coordinates, and executes detailed test plans. Trains end users and documents processes for knowledge transfer. Identifies and documents solution related risks and issues; providing guidance and documentation, including scope of work, objectives, timelines, and quality of deliverables. Follows policies to ensure business requirements are appropriately translated and communicates risks to stakeholders. Keeps current with new functionality or technical offerings related to financial systems as well as with accounting concepts pertinent to healthcare finance. Recommends and implements improvements to end user processes as they relate to financial systems. Operates under limited guidance and work assignments involve moderately complex to complex issues where the analysis of situations or data requires in-depth evaluation of variable factors. Performs related duties as required. All responsibilities noted here are considered essential functions of the job under the Americans with Disabilities Act. Duties not mentioned here, but considered related are not essential functions. Job Qualification Bachelor's Degree required, or equivalent combination of education and related experience. Master's degree in Computer Science, Business, or Engineering, preferred. 3-5 years of relevant experience, required. Excellent strategic thinking, project management, and time management skills, preferred. Strong organization, communication, and collaboration skills, preferred. Epic Certified in Dorothy & Comfort highly preferred. Additional Salary Detail The salary range and/or hourly rate listed is a good faith determination of potential base compensation that may be offered to a successful applicant for this position at the time of this job advertisement and may be modified in the future.When determining a team member's base salary and/or rate, several factors may be considered as applicable (e.g., location, specialty, service line, years of relevant experience, education, credentials, negotiated contracts, budget and internal equity).
09/24/2026
Full time
Job Description Supports and enhances products on larger, more complex or multiple products for enterprise resource planning, budgeting, data warehousing, and financial reporting. Collaborates with Finance and vendors to ensure products and solutions are properly supported. Provides support to ensure all products are functioning optimally, data integrity is intact and financial reports are in alignment with are produced timely and accurately. Participates in implementing or enhancing products and solutions following the hybrid product/project development and implementation lifecycle. Job Responsibility Supports various financial systems within the portfolio, following the support model, while providing excellent customer service to all customers and end users. Analyzes and troubleshoots production problems; escalates issues and executes solutions. Works as a project / product lead on larger, more complex projects and/or on multiple projects and solutions. Collaborates with multiple product teams and solution teams, IT and Business Product Managers, IT Business Solutions Leads, and other key stakeholders. Implements or enhances systems, following the software and solution delivery lifecycle and hybrid project management methods. Maintains direct responsibility for successful outcome of assigned project(s) and solutions; interacts with end users to assist in collecting, documenting, and analyzing business requirements; communicates clearly and timely with customers and end users. Creates clear, technical designs, and specifications; develops solutions and communicates requirements to external developers. Develops, coordinates, and executes detailed test plans. Trains end users and documents processes for knowledge transfer. Identifies and documents solution related risks and issues; providing guidance and documentation, including scope of work, objectives, timelines, and quality of deliverables. Follows policies to ensure business requirements are appropriately translated and communicates risks to stakeholders. Keeps current with new functionality or technical offerings related to financial systems as well as with accounting concepts pertinent to healthcare finance. Recommends and implements improvements to end user processes as they relate to financial systems. Operates under limited guidance and work assignments involve moderately complex to complex issues where the analysis of situations or data requires in-depth evaluation of variable factors. Performs related duties as required. All responsibilities noted here are considered essential functions of the job under the Americans with Disabilities Act. Duties not mentioned here, but considered related are not essential functions. Job Qualification Bachelor's Degree required, or equivalent combination of education and related experience. Master's degree in Computer Science, Business, or Engineering, preferred. 3-5 years of relevant experience, required. Excellent strategic thinking, project management, and time management skills, preferred. Strong organization, communication, and collaboration skills, preferred. Epic Certified in Dorothy & Comfort highly preferred. Additional Salary Detail The salary range and/or hourly rate listed is a good faith determination of potential base compensation that may be offered to a successful applicant for this position at the time of this job advertisement and may be modified in the future.When determining a team member's base salary and/or rate, several factors may be considered as applicable (e.g., location, specialty, service line, years of relevant experience, education, credentials, negotiated contracts, budget and internal equity).
