Job Description Job Description The short version You'd build new applications for a company that makes real things, with direct access to the people who need them, and you'd make the product and design calls yourself. You'd do it alongside a small team of engineers who are very good at this. The hard integration layer, ERP, warehouse management, and the existing service fleet are already covered. You own what gets built on top. About the role Three things make this different from most "full stack" postings, plus one that will rule it out for some people: It's greenfield. You'd be building business tools from a clean slate. Modern stack, decisions still open. You are not inheriting a decade of someone else's shortcuts. You'd have strong peers, not a vacuum. An SRE owns our delivery platform and GitOps practice. Another engineer owns the integration layer between our core business systems and everything else, along with the data pipelines feeding it. Both are excellent at what they do and aren't going anywhere. You'd own the applications built on top. You would have genuine ownership, and real peers worth arguing with when a decision is genuinely hard. One expectation worth stating plainly: we want developers who extend those patterns, not just consume them. You don't have to own the platform, but you should be able to read it, add to it, and be trusted to do so. This is a small team. Your work is visible and your judgment carries, and there's also nowhere to hide. You'd learn the business, not just take orders from it. Requirements come from the department heads who need the software: purchasing, nutrition, operations, sales. They don't get filtered through a product organization, and they won't be. We don't have project managers and aren't planning to hire any. This is the part of the job we care about most, so it's worth being direct about it. The people asking will describe what they think they need. The work is to absorb their process well enough to understand what they actually need, which is frequently different and occasionally the opposite. We have seen that change the course of a project, more than once. An application built from the first description tends to work for a quarter and then quietly stop fitting. Plenty of capable developers can't do this, or don't want to. That's a legitimate preference and this is the wrong job for it. The trade: no product manager to turn a vague request into a spec, no designer to hand you a comp, and light management. Nobody will assign you tickets or check your progress daily. If you build your own structure, that's freedom. If you need someone else to build it for you, this will go badly for both of us. What you'll own Architecture, API design, and user experience for the applications you build Turning business requirements into roadmaps and shipped code, including deciding what not to build Build and deployment automation: containerization, GitOps, fast and boring releases Application-layer infrastructure as code, extending our existing GitOps and deployment patterns rather than working around them The code quality and security standards that keep all of the above safe to move quickly in How we build We're deliberately polyglot: several languages in production, more than one kind of data store, containerized workloads, GitOps delivery, infrastructure as code. We aren't listing the specifics, on purpose. They change, and we'd rather hear how you choose tools than check whether you've used ours. What matters is that you've worked across enough languages and runtimes to know the language is rarely the hard part, and that you reach for the right tool for the problem t comfortable in. How we work with AI We use agentic AI development tools daily, and we've done the unglamorous part. Agent instructions, coding standards, and architecture decision records live alongside the code, so the tools produce work that fits our conventions instead of fighting them. We'd want you to extend that practice, not invent one from scratch. We're also clear-eyed about it. These tools make it easy to produce something that demos well and falls apart in six months, and we've watched it happen elsewhere. The conventions exist to prevent that. We'd rather you use them heavily and understand exactly what you shipped than either avoid them or trust them blindly. If you have opinions about where they genuinely help and where they quietly create problems, we want to hear them. What we're looking for We're not listing a number of years. What matters is what you've actually done: You've architected, shipped, and operated production systems, including being the one paged when they broke You've decided what to build, not only how, on at least one system that mattered You've learned a business process deeply enough to build something different from what was requested, and you were right You can weigh trade-offs and constraints on your own and defend the call afterward You've picked up someone else's deployment and infrastructure conventions and extended them, rather than routing around them or building a parallel path of your own You've made a UX call that shipped, turned out wrong, and fixed it You've shipped production work in more than one language and runtime, and can say why each was the right choice at the time You're comfortable across relational and non-relational data modeling, API design, and modern web architecture If you can speak to those from experience, the number on your résumé isn't interesting to us.
11/13/2026
Full time
Job Description Job Description The short version You'd build new applications for a company that makes real things, with direct access to the people who need them, and you'd make the product and design calls yourself. You'd do it alongside a small team of engineers who are very good at this. The hard integration layer, ERP, warehouse management, and the existing service fleet are already covered. You own what gets built on top. About the role Three things make this different from most "full stack" postings, plus one that will rule it out for some people: It's greenfield. You'd be building business tools from a clean slate. Modern stack, decisions still open. You are not inheriting a decade of someone else's shortcuts. You'd have strong peers, not a vacuum. An SRE owns our delivery platform and GitOps practice. Another engineer owns the integration layer between our core business systems and everything else, along with the data pipelines feeding it. Both are excellent at what they do and aren't going anywhere. You'd own the applications built on top. You would have genuine ownership, and real peers worth arguing with when a decision is genuinely hard. One expectation worth stating plainly: we want developers who extend those patterns, not just consume them. You don't have to own the platform, but you should be able to read it, add to it, and be trusted to do so. This is a small team. Your work is visible and your judgment carries, and there's also nowhere to hide. You'd learn the business, not just take orders from it. Requirements come from the department heads who need the software: purchasing, nutrition, operations, sales. They don't get filtered through a product organization, and they won't be. We don't have project managers and aren't planning to hire any. This is the part of the job we care about most, so it's worth being direct about it. The people asking will describe what they think they need. The work is to absorb their process well enough to understand what they actually need, which is frequently different and occasionally the opposite. We have seen that change the course of a project, more than once. An application built from the first description tends to work for a quarter and then quietly stop fitting. Plenty of capable developers can't do this, or don't want to. That's a legitimate preference and this is the wrong job for it. The trade: no product manager to turn a vague request into a spec, no designer to hand you a comp, and light management. Nobody will assign you tickets or check your progress daily. If you build your own structure, that's freedom. If you need someone else to build it for you, this will go badly for both of us. What you'll own Architecture, API design, and user experience for the applications you build Turning business requirements into roadmaps and shipped code, including deciding what not to build Build and deployment automation: containerization, GitOps, fast and boring releases Application-layer infrastructure as code, extending our existing GitOps and deployment patterns rather than working around them The code quality and security standards that keep all of the above safe to move quickly in How we build We're deliberately polyglot: several languages in production, more than one kind of data store, containerized workloads, GitOps delivery, infrastructure as code. We aren't listing the specifics, on purpose. They change, and we'd rather hear how you choose tools than check whether you've used ours. What matters is that you've worked across enough languages and runtimes to know the language is rarely the hard part, and that you reach for the right tool for the problem t comfortable in. How we work with AI We use agentic AI development tools daily, and we've done the unglamorous part. Agent instructions, coding standards, and architecture decision records live alongside the code, so the tools produce work that fits our conventions instead of fighting them. We'd want you to extend that practice, not invent one from scratch. We're also clear-eyed about it. These tools make it easy to produce something that demos well and falls apart in six months, and we've watched it happen elsewhere. The conventions exist to prevent that. We'd rather you use them heavily and understand exactly what you shipped than either avoid them or trust them blindly. If you have opinions about where they genuinely help and where they quietly create problems, we want to hear them. What we're looking for We're not listing a number of years. What matters is what you've actually done: You've architected, shipped, and operated production systems, including being the one paged when they broke You've decided what to build, not only how, on at least one system that mattered You've learned a business process deeply enough to build something different from what was requested, and you were right You can weigh trade-offs and constraints on your own and defend the call afterward You've picked up someone else's deployment and infrastructure conventions and extended them, rather than routing around them or building a parallel path of your own You've made a UX call that shipped, turned out wrong, and fixed it You've shipped production work in more than one language and runtime, and can say why each was the right choice at the time You're comfortable across relational and non-relational data modeling, API design, and modern web architecture If you can speak to those from experience, the number on your résumé isn't interesting to us.
Job Title: Senior Data Engineer - Data Architecture & Cloud Position Overview Contribute to a major Medicaid technology modernization initiative focused on transforming data capabilities, architecture, and technology. This opportunity combines hands-on data engineering with architectural leadership, enabling scalable analytical data solutions, modern data platforms, and data-driven decision-making. As part of the Data Operations Hub Team, you will design, develop, and implement analytical data solutions while collaborating with cross-functional teams to advance target-state architecture and data initiatives. What You'll Do / Key Responsibilities Represent the Data Operations Hub team in technical forums and advise on data solutions. Lead the design and maintenance of scalable data solutions, including data lakes and data warehouses. Collaborate with cross-functional teams to ensure data product solutions support business needs and data-driven decision-making. Evaluate and select data technologies and drive adoption of emerging technologies. Develop architectural models using Sparkx or other available data modeling tools and supporting artifacts. Serve as a subject matter expert in designated areas. Apply modern data processing technologies such as Python, Java, and Airflow within data mesh and data lake environments. Contribute to the data engineering community and advocate for agency data practices. Perform hands-on coding and design to implement production solutions. Optimize system performance and resolve inefficiencies. Design reusable data frameworks using emerging technologies. Required Qualifications Bachelor's or Master's degree in Computer Science or a related field. 4+ years of experience as a Data Engineer or similar role leading technologists and managing complex technical challenges. 4+ years of hands-on experience in system design, application development, and operational stability. 4+ years of expertise in architecture disciplines and programming languages. 4+ years of deep knowledge of data architecture, data modeling, integration, cloud data services, data domain-driven design, best practices, and industry trends in data engineering. 4+ years of practical experience with AWS/Azure services and data engineering disciplines. 4+ years of advanced experience in one or more data engineering disciplines, such as ETL/ELT or event processing. 4+ years of proficiency in SQL, data warehousing solutions, and cloud-native relational databases such as Snowflake, Athena, or Postgres. Preferred Qualifications 4+ years of business architecture knowledge and experience with architecture assessment frameworks. Additional Skills Strong problem-solving, communication, and interpersonal skills. Ability to evaluate and recommend technologies for future-state architecture. What Makes HTC A Great Place To Build Your Future HTC Global Services wants you to join our team. Come build new things with us and advance your career. At HTC Global, you'll collaborate with experts, work alongside clients, and be part of high-performing teams driving success together. You'll have long-term opportunities to grow your career and develop skills in the latest emerging technologies. At HTC Global Services, our employees have access to a comprehensive benefits package. Benefits can include Group Health (Medical, Dental, and Vision), Paid Time Off, Paid Holidays, 401(k) matching, Group Life and Disability insurance, Professional Development opportunities, Wellness programs, and a variety of other perks. Our success as a company is built on inclusion and diversity. HTC Global Services is committed to providing a workplace free from discrimination and harassment, where every employee is treated with dignity and respect. We celebrate differences and believe that diverse cultures, perspectives, and skills drive innovation and success. HTC is an Equal Opportunity Employer and a proud National Minority Supplier. We seek to empower each individual, fostering an environment where everyone feels valued, included, and respected.
11/12/2026
Full time
Job Title: Senior Data Engineer - Data Architecture & Cloud Position Overview Contribute to a major Medicaid technology modernization initiative focused on transforming data capabilities, architecture, and technology. This opportunity combines hands-on data engineering with architectural leadership, enabling scalable analytical data solutions, modern data platforms, and data-driven decision-making. As part of the Data Operations Hub Team, you will design, develop, and implement analytical data solutions while collaborating with cross-functional teams to advance target-state architecture and data initiatives. What You'll Do / Key Responsibilities Represent the Data Operations Hub team in technical forums and advise on data solutions. Lead the design and maintenance of scalable data solutions, including data lakes and data warehouses. Collaborate with cross-functional teams to ensure data product solutions support business needs and data-driven decision-making. Evaluate and select data technologies and drive adoption of emerging technologies. Develop architectural models using Sparkx or other available data modeling tools and supporting artifacts. Serve as a subject matter expert in designated areas. Apply modern data processing technologies such as Python, Java, and Airflow within data mesh and data lake environments. Contribute to the data engineering community and advocate for agency data practices. Perform hands-on coding and design to implement production solutions. Optimize system performance and resolve inefficiencies. Design reusable data frameworks using emerging technologies. Required Qualifications Bachelor's or Master's degree in Computer Science or a related field. 4+ years of experience as a Data Engineer or similar role leading technologists and managing complex technical challenges. 4+ years of hands-on experience in system design, application development, and operational stability. 4+ years of expertise in architecture disciplines and programming languages. 4+ years of deep knowledge of data architecture, data modeling, integration, cloud data services, data domain-driven design, best practices, and industry trends in data engineering. 4+ years of practical experience with AWS/Azure services and data engineering disciplines. 4+ years of advanced experience in one or more data engineering disciplines, such as ETL/ELT or event processing. 4+ years of proficiency in SQL, data warehousing solutions, and cloud-native relational databases such as Snowflake, Athena, or Postgres. Preferred Qualifications 4+ years of business architecture knowledge and experience with architecture assessment frameworks. Additional Skills Strong problem-solving, communication, and interpersonal skills. Ability to evaluate and recommend technologies for future-state architecture. What Makes HTC A Great Place To Build Your Future HTC Global Services wants you to join our team. Come build new things with us and advance your career. At HTC Global, you'll collaborate with experts, work alongside clients, and be part of high-performing teams driving success together. You'll have long-term opportunities to grow your career and develop skills in the latest emerging technologies. At HTC Global Services, our employees have access to a comprehensive benefits package. Benefits can include Group Health (Medical, Dental, and Vision), Paid Time Off, Paid Holidays, 401(k) matching, Group Life and Disability insurance, Professional Development opportunities, Wellness programs, and a variety of other perks. Our success as a company is built on inclusion and diversity. HTC Global Services is committed to providing a workplace free from discrimination and harassment, where every employee is treated with dignity and respect. We celebrate differences and believe that diverse cultures, perspectives, and skills drive innovation and success. HTC is an Equal Opportunity Employer and a proud National Minority Supplier. We seek to empower each individual, fostering an environment where everyone feels valued, included, and respected.
Job Description Job Description As a Quality Automation Engineer III specializing in EDW and ETL testing, you are our data quality control anchor. You will ensure that our enterprise data pipelines, data warehouses, and downstream analytics applications are highly stable, accurate, and built with integrity. You will play a pivotal role in designing, creating, and automating data-centric testing frameworks to ensure complete data integrity across complex, interrelated backend systems. You will use your strong analytical and advanced SQL problem-solving skills to ensure our data platforms perform optimally. If you are a curious tester who isn't afraid to ask "why," thrives on uncovering complex data discrepancies, and loves collaborating in a team environment, you will thrive here. What You'll Do Design & Build Data Automation: Oversee, design, review, build, and deploy automated test solutions and frameworks tailored for complex EDW/ETL pipelines to ensure backend data processing meets rigorous quality standards. Root Cause Analysis: Lead the troubleshooting and triage of complex data issues and system escalations. Work closely with data engineering teams to identify root causes (such as data truncation, transformation logic errors, or performance bottlenecks) and implement long-term process improvements. Mentorship & Framework Governance: Guide and mentor other Test Automation Engineers to ensure their data-validation scripts align with our core automation frameworks, query optimization standards, and industry best practices. Cross-Functional Collaboration: Collaborate closely with Product Management, Data Architects, Developers, and business stakeholders to align on testing objectives, data schemas, and mapping requirements. End-to-End Testing: Write and execute robust manual and functional test cases when data exploration is required, transforming stable test patterns into automated regression suites. Values-Driven Execution: Always take action using Integrity, Caring, and Excellence to achieve all-win outcomes for our data consumers and the organization. What You'll Need (Required Skills) Education: Bachelor's degree in a technical field (Computer Science, Data Analytics, CIS) or equivalent professional experience. Core EDW/ETL Expertise: Strong, demonstrated experience in Enterprise Data Warehouse (EDW) and ETL testing methodology. Deep understanding of data mapping, data lineage, and data warehouse architectures. Advanced SQL: Expertise in writing complex SQL queries (e.g., multi-table joins, subqueries, analytical functions) to validate data transformations and aggregate large datasets. Test Automation Experience: 4 years of test automation experience, including experience developing functional, load, and batch testing automation solutions. Programming Background: Expertise in Java and a strong understanding of Object-Oriented Programming (OOP) concepts. Automation Frameworks: Experience using UI and API test frameworks (such as Selenium or REST-assured) paired with programming languages to build end-to-end regression paths. Problem Solving & Debugging: Expertise in independently identifying backend technical issues, database misconfigurations, and defects in application or ETL code. Version Control: Hands-on experience with a distributed version-control management system like Git. Quality Advocacy: Expert knowledge of the role of Test Automation and Software Quality Assurance across the entire Software Development Life Cycle (SDLC). Additional Preferred Skills Testing Tools & Frameworks: Experience with testing frameworks/tools such as JUnit, TestNG, Cucumber (BDD), Appium, JMeter, or SoapUI/Postman. DevOps & CI/CD Pipeline Integration: Functional knowledge of DevOps practices, including tools like Jenkins, Maven, or similar CI/CD orchestrators to trigger automated data validation jobs. Non-Functional Testing: Exposure to non-functional testing protocols, specifically Data Performance/Load testing, Security, and Accessibility testing. Job Responsibilities Design & Build Data Automation: Oversee, design, review, build, and deploy automated test solutions and frameworks tailored for complex EDW/ETL pipelines to ensure backend data processing meets rigorous quality standards. Root Cause Analysis: Lead the troubleshooting and triage of complex data issues and system escalations. Work closely with data engineering teams to identify root causes (such as data truncation, transformation logic errors, or performance bottlenecks) and implement long-term process improvements. Mentorship & Framework Governance: Guide and mentor other Test Automation Engineers to ensure their data-validation scripts align with our core automation frameworks, query optimization standards, and industry best practices. Cross-Functional Collaboration: Collaborate closely with Product Management, Data Architects, Developers, and business stakeholders to align on testing objectives, data schemas, and mapping requirements. End-to-End Testing: Write and execute robust manual and functional test cases when data exploration is required, transforming stable test patterns into automated regression suites. Values-Driven Execution: Always take action using Integrity, Caring, and Excellence to achieve all-win outcomes for our data consumers and the organization.
11/12/2026
Full time
Job Description Job Description As a Quality Automation Engineer III specializing in EDW and ETL testing, you are our data quality control anchor. You will ensure that our enterprise data pipelines, data warehouses, and downstream analytics applications are highly stable, accurate, and built with integrity. You will play a pivotal role in designing, creating, and automating data-centric testing frameworks to ensure complete data integrity across complex, interrelated backend systems. You will use your strong analytical and advanced SQL problem-solving skills to ensure our data platforms perform optimally. If you are a curious tester who isn't afraid to ask "why," thrives on uncovering complex data discrepancies, and loves collaborating in a team environment, you will thrive here. What You'll Do Design & Build Data Automation: Oversee, design, review, build, and deploy automated test solutions and frameworks tailored for complex EDW/ETL pipelines to ensure backend data processing meets rigorous quality standards. Root Cause Analysis: Lead the troubleshooting and triage of complex data issues and system escalations. Work closely with data engineering teams to identify root causes (such as data truncation, transformation logic errors, or performance bottlenecks) and implement long-term process improvements. Mentorship & Framework Governance: Guide and mentor other Test Automation Engineers to ensure their data-validation scripts align with our core automation frameworks, query optimization standards, and industry best practices. Cross-Functional Collaboration: Collaborate closely with Product Management, Data Architects, Developers, and business stakeholders to align on testing objectives, data schemas, and mapping requirements. End-to-End Testing: Write and execute robust manual and functional test cases when data exploration is required, transforming stable test patterns into automated regression suites. Values-Driven Execution: Always take action using Integrity, Caring, and Excellence to achieve all-win outcomes for our data consumers and the organization. What You'll Need (Required Skills) Education: Bachelor's degree in a technical field (Computer Science, Data Analytics, CIS) or equivalent professional experience. Core EDW/ETL Expertise: Strong, demonstrated experience in Enterprise Data Warehouse (EDW) and ETL testing methodology. Deep understanding of data mapping, data lineage, and data warehouse architectures. Advanced SQL: Expertise in writing complex SQL queries (e.g., multi-table joins, subqueries, analytical functions) to validate data transformations and aggregate large datasets. Test Automation Experience: 4 years of test automation experience, including experience developing functional, load, and batch testing automation solutions. Programming Background: Expertise in Java and a strong understanding of Object-Oriented Programming (OOP) concepts. Automation Frameworks: Experience using UI and API test frameworks (such as Selenium or REST-assured) paired with programming languages to build end-to-end regression paths. Problem Solving & Debugging: Expertise in independently identifying backend technical issues, database misconfigurations, and defects in application or ETL code. Version Control: Hands-on experience with a distributed version-control management system like Git. Quality Advocacy: Expert knowledge of the role of Test Automation and Software Quality Assurance across the entire Software Development Life Cycle (SDLC). Additional Preferred Skills Testing Tools & Frameworks: Experience with testing frameworks/tools such as JUnit, TestNG, Cucumber (BDD), Appium, JMeter, or SoapUI/Postman. DevOps & CI/CD Pipeline Integration: Functional knowledge of DevOps practices, including tools like Jenkins, Maven, or similar CI/CD orchestrators to trigger automated data validation jobs. Non-Functional Testing: Exposure to non-functional testing protocols, specifically Data Performance/Load testing, Security, and Accessibility testing. Job Responsibilities Design & Build Data Automation: Oversee, design, review, build, and deploy automated test solutions and frameworks tailored for complex EDW/ETL pipelines to ensure backend data processing meets rigorous quality standards. Root Cause Analysis: Lead the troubleshooting and triage of complex data issues and system escalations. Work closely with data engineering teams to identify root causes (such as data truncation, transformation logic errors, or performance bottlenecks) and implement long-term process improvements. Mentorship & Framework Governance: Guide and mentor other Test Automation Engineers to ensure their data-validation scripts align with our core automation frameworks, query optimization standards, and industry best practices. Cross-Functional Collaboration: Collaborate closely with Product Management, Data Architects, Developers, and business stakeholders to align on testing objectives, data schemas, and mapping requirements. End-to-End Testing: Write and execute robust manual and functional test cases when data exploration is required, transforming stable test patterns into automated regression suites. Values-Driven Execution: Always take action using Integrity, Caring, and Excellence to achieve all-win outcomes for our data consumers and the organization.
Job Description Job Description Job Title: Test Lead (Axiom) Job ID: 26-36794 Location: Onsite, Atlanta, GA Duration: 12 Months Required skills: Skill Test Lead (Axiom) Job Description We are seeking an experienced Test Lead to lead end-to-end testing efforts for enterprise data warehouse and regulatory reporting initiatives within the banking domain. The ideal candidate will have strong expertise in Application Lifecycle Management (ALM), Software Development Life Cycle (SDLC), Project Management Life Cycle (PMLC), and ServiceNow processes. This role will be responsible for driving test strategy, planning, execution, defect management, and release readiness across complex data integration and reporting projects. The candidate will work closely with Business Analysts, Developers, Project Managers, UAT users, and Regulatory Reporting stakeholders to ensure high-quality delivery of solutions. The role requires strong leadership in coordinating SIT, UAT, Regression, and Production Validation activities, facilitating defect triage meetings, managing testing deliverables, and ensuring compliance with enterprise quality standards. The ideal candidate should possess strong data testing and ETL testing expertise, hands-on SQL skills, and the ability to validate complex source-to-target data transformations and regulatory reporting requirements. Strong communication, stakeholder management, and team leadership skills are essential for success in this role. Required Skills 10+ years of QA/Test Management experience Strong knowledge of ALM Expertise in SDLC, STLC, and PMLC methodologies Hands-on experience with ServiceNow Strong Data Warehouse Testing experience Expertise in ETL Testing and Data Validation Experience with Test Strategy, Test Planning, and Test Execution Strong Test Case Preparation and Review capabilities Defect Management and Defect Triage leadership experience Experience coordinating SIT, UAT, Regression, and Production Validation testing Strong SQL skills for backend data validation and reconciliation Informatica PowerCenter knowledge and ETL workflow understanding Source-to-Target Mapping validation experience Data Reconciliation and Data Quality Testing expertise Experience collaborating with Business and UAT users Strong verbal and written communication skills Stakeholder Management and Leadership skills Experience working in Agile, Scrum, and Waterfall projects Ability to manage onsite/offshore testing teams Please apply on our company website ( ) with reference to job ID, or contact me at
11/12/2026
Full time
Job Description Job Description Job Title: Test Lead (Axiom) Job ID: 26-36794 Location: Onsite, Atlanta, GA Duration: 12 Months Required skills: Skill Test Lead (Axiom) Job Description We are seeking an experienced Test Lead to lead end-to-end testing efforts for enterprise data warehouse and regulatory reporting initiatives within the banking domain. The ideal candidate will have strong expertise in Application Lifecycle Management (ALM), Software Development Life Cycle (SDLC), Project Management Life Cycle (PMLC), and ServiceNow processes. This role will be responsible for driving test strategy, planning, execution, defect management, and release readiness across complex data integration and reporting projects. The candidate will work closely with Business Analysts, Developers, Project Managers, UAT users, and Regulatory Reporting stakeholders to ensure high-quality delivery of solutions. The role requires strong leadership in coordinating SIT, UAT, Regression, and Production Validation activities, facilitating defect triage meetings, managing testing deliverables, and ensuring compliance with enterprise quality standards. The ideal candidate should possess strong data testing and ETL testing expertise, hands-on SQL skills, and the ability to validate complex source-to-target data transformations and regulatory reporting requirements. Strong communication, stakeholder management, and team leadership skills are essential for success in this role. Required Skills 10+ years of QA/Test Management experience Strong knowledge of ALM Expertise in SDLC, STLC, and PMLC methodologies Hands-on experience with ServiceNow Strong Data Warehouse Testing experience Expertise in ETL Testing and Data Validation Experience with Test Strategy, Test Planning, and Test Execution Strong Test Case Preparation and Review capabilities Defect Management and Defect Triage leadership experience Experience coordinating SIT, UAT, Regression, and Production Validation testing Strong SQL skills for backend data validation and reconciliation Informatica PowerCenter knowledge and ETL workflow understanding Source-to-Target Mapping validation experience Data Reconciliation and Data Quality Testing expertise Experience collaborating with Business and UAT users Strong verbal and written communication skills Stakeholder Management and Leadership skills Experience working in Agile, Scrum, and Waterfall projects Ability to manage onsite/offshore testing teams Please apply on our company website ( ) with reference to job ID, or contact me at
Job Description Job Description Job Summary: The BI Manager is responsible for leading the Company's Business Intelligence, enterprise reporting, analytics, and data governance functions. This role manages the centralized team responsible for official reports, dashboards, semantic models, data analysis, and related analytical solutions, ensuring business information is accurate, consistent, governed, and aligned with organizational priorities. The BI Manager serves as the primary point of coordination for business stakeholders requesting reporting, dashboards, analytics, and decision-support capabilities. This position works closely with department leaders to understand business requirements and translates those needs into prioritized work for Business Intelligence Engineers, Data Analysts, Report Developers, and other technical resources. The BI Manager partners closely with Software Engineering to understand application data, database structures, integrations, and system changes that affect reporting. The role establishes enterprise reporting standards, authoritative data sources, metric definitions, data ownership practices, and delivery processes that reduce duplicated reporting efforts and provide trusted information across the organization. Key Responsibilities: Leadership & Team Management: Lead, develop, and manage Business Intelligence Engineers, Data Analysts, Report Developers, and other resources assigned to the centralized reporting and analytics function. Establish clear priorities, responsibilities, performance expectations, development plans, and delivery standards for the BI team. Assign and balance work across the team based on business value, urgency, complexity, dependencies, and available capacity. Build a service-oriented culture focused on data accuracy, responsiveness, collaboration, documentation, governance, and continuous improvement. Report on team performance, delivery status, risks, capacity, and strategic BI initiatives to technology and business leadership. Enterprise Reporting Strategy & Governance: Establish and maintain enterprise reporting standards, metric definitions, certified datasets, semantic models, and data governance practices. Define authoritative reporting sources and promote consistent use of approved measures and business definitions across departments. Centralize and coordinate official reporting activities within the BI function to improve consistency, accountability, supportability, and reuse. Develop and maintain processes for report intake, prioritization, approval, development, testing, publication, lifecycle management, retirement, and ongoing support. Establish data ownership, stewardship, quality, lineage, access, retention, and documentation expectations in partnership with appropriate business and technical owners. Reduce duplicate and conflicting reports by promoting reusable datasets, governed semantic models, standardized KPIs, and shared reporting assets. Balance governed enterprise reporting with appropriate self-service analytics capabilities and user enablement. Stakeholder Engagement & Requirements Management: Serve as the primary point of contact for departments requesting reports, dashboards, analytics, data extracts, and related Business Intelligence solutions. Meet with business leaders, process owners, and users to understand objectives, operational processes, reporting needs, decision points, and success criteria. Translate business requirements into clear scope, user stories, data requirements, acceptance criteria, priorities, and delivery plans for BI and technical teams. Manage competing requests across departments while balancing business value, urgency, effort, governance standards, dependencies, and available resources. Facilitate requirements workshops, design reviews, demonstrations, user acceptance testing, release communication, and post-implementation feedback. Communicate priorities, timelines, status, risks, limitations, and data-quality concerns clearly to stakeholders and leadership. Software Engineering & Data Coordination: Partner closely with Software Engineering to understand application architecture, database structures, APIs, integrations, business rules, and technology roadmaps that affect reporting and analytics. Participate in project planning and solution reviews to ensure data, reporting, governance, and analytical requirements are considered during system design and implementation. Coordinate changes to data pipelines, warehouse structures, semantic models, datasets, dashboards, and reports resulting from application, database, integration, or process changes. Work with Software Engineering to define reliable methods for exposing, transforming, validating, and supporting data used by enterprise reporting. Maintain visibility into planned system changes and ensure downstream reporting impacts, dependencies, testing needs, and communication requirements are identified. Support the creation and maintenance of data dictionaries, business definitions, source mappings, lineage documentation, and technical dependencies. BI Platform, Data Warehouse & Delivery Oversight: Own the strategy, roadmap, standards, and operational oversight for Power BI, the enterprise data warehouse, reporting datasets, semantic models, and related BI capabilities. Oversee the design, development, testing, deployment, security, performance, reliability, and support of enterprise reports, dashboards, data models, and analytical solutions. Guide the design and maintenance of ETL/ELT pipelines, dimensional models, curated datasets, and data warehouse structures supporting BI and analytics needs. Review and approve significant BI architecture, modeling, dashboard, workspace, security, and data-governance decisions. Establish standards for Power BI workspaces, access, sharing, deployment, certification, refresh, monitoring, ownership, and support. Monitor platform and report performance, data-refresh reliability, usage, adoption, data quality, and scalability; coordinate corrective and improvement actions. Manage relevant vendors, consultants, licensing, and technology evaluations supporting BI and data initiatives. Perform other duties as assigned. Qualifications: Education and Experience: Bachelor's degree in Information Systems, Business Intelligence, Data Analytics, Computer Science, Business Administration, or a related field preferred; an equivalent combination of relevant education and professional experience may be considered. Five or more years of progressively responsible experience in business intelligence, enterprise reporting, analytics, data warehousing, data governance, or a related discipline preferred. Two or more years demonstrated leadership with BI teams, reporting functions, or complex cross-functional data initiatives preferred. Experience leading reporting intake, requirements management, prioritization, stakeholder communication, and delivery across multiple business functions. Experience with Power BI, enterprise reporting platforms, semantic models, data warehouses, relational databases, and data integration concepts. Telecommunications, broadband, ISP, OSS/BSS, CRM, GIS, network operations, customer operations, or other data-intensive operational experience preferred. Microsoft Power BI, data management, business analysis, project management, or comparable certifications are valued but not required. Skills and Competencies: Strong leadership and people-management skills with the ability to develop technical and analytical professionals and establish clear accountability. Strong understanding of enterprise reporting, data governance, data quality, dimensional modeling, semantic models, ETL/ELT processes, and data warehouse concepts. Working knowledge of Power BI administration and governance, report and dashboard design, DAX, SQL, data modeling, and relational databases. Ability to understand business processes and convert stakeholder objectives into clear reporting, analytical, data, and technical requirements. Ability to collaborate effectively with Software Engineering and understand the reporting impact of application, database, integration, and architectural changes. Ability to define authoritative metrics, resolve conflicting reporting definitions, and guide decisions involving data ownership, quality, access, and governance. Strong prioritization, project coordination, problem-solving, documentation, and organizational judgment. Excellent communication and facilitation skills with the ability to explain complex data concepts, risks, tradeoffs, and status to technical and non-technical audiences. Ability to balance long-term reporting architecture and governance with timely delivery of immediate business needs. Working Conditions: Ability to communicate effectively orally and in writing and operate standard office technology and equipment. Ability to travel to company locations and vendor or partner sites as business needs require. Requires prolonged periods of sitting at a desk and working on a computer workstation. Frequent participation in stakeholder meetings, requirements workshops, design reviews, demonstrations, and planning activities. Must be able to maintain visual focus on screens, dashboards, documents, data models, and written materials for extended periods. . click apply for full job details
11/12/2026
Full time
Job Description Job Description Job Summary: The BI Manager is responsible for leading the Company's Business Intelligence, enterprise reporting, analytics, and data governance functions. This role manages the centralized team responsible for official reports, dashboards, semantic models, data analysis, and related analytical solutions, ensuring business information is accurate, consistent, governed, and aligned with organizational priorities. The BI Manager serves as the primary point of coordination for business stakeholders requesting reporting, dashboards, analytics, and decision-support capabilities. This position works closely with department leaders to understand business requirements and translates those needs into prioritized work for Business Intelligence Engineers, Data Analysts, Report Developers, and other technical resources. The BI Manager partners closely with Software Engineering to understand application data, database structures, integrations, and system changes that affect reporting. The role establishes enterprise reporting standards, authoritative data sources, metric definitions, data ownership practices, and delivery processes that reduce duplicated reporting efforts and provide trusted information across the organization. Key Responsibilities: Leadership & Team Management: Lead, develop, and manage Business Intelligence Engineers, Data Analysts, Report Developers, and other resources assigned to the centralized reporting and analytics function. Establish clear priorities, responsibilities, performance expectations, development plans, and delivery standards for the BI team. Assign and balance work across the team based on business value, urgency, complexity, dependencies, and available capacity. Build a service-oriented culture focused on data accuracy, responsiveness, collaboration, documentation, governance, and continuous improvement. Report on team performance, delivery status, risks, capacity, and strategic BI initiatives to technology and business leadership. Enterprise Reporting Strategy & Governance: Establish and maintain enterprise reporting standards, metric definitions, certified datasets, semantic models, and data governance practices. Define authoritative reporting sources and promote consistent use of approved measures and business definitions across departments. Centralize and coordinate official reporting activities within the BI function to improve consistency, accountability, supportability, and reuse. Develop and maintain processes for report intake, prioritization, approval, development, testing, publication, lifecycle management, retirement, and ongoing support. Establish data ownership, stewardship, quality, lineage, access, retention, and documentation expectations in partnership with appropriate business and technical owners. Reduce duplicate and conflicting reports by promoting reusable datasets, governed semantic models, standardized KPIs, and shared reporting assets. Balance governed enterprise reporting with appropriate self-service analytics capabilities and user enablement. Stakeholder Engagement & Requirements Management: Serve as the primary point of contact for departments requesting reports, dashboards, analytics, data extracts, and related Business Intelligence solutions. Meet with business leaders, process owners, and users to understand objectives, operational processes, reporting needs, decision points, and success criteria. Translate business requirements into clear scope, user stories, data requirements, acceptance criteria, priorities, and delivery plans for BI and technical teams. Manage competing requests across departments while balancing business value, urgency, effort, governance standards, dependencies, and available resources. Facilitate requirements workshops, design reviews, demonstrations, user acceptance testing, release communication, and post-implementation feedback. Communicate priorities, timelines, status, risks, limitations, and data-quality concerns clearly to stakeholders and leadership. Software Engineering & Data Coordination: Partner closely with Software Engineering to understand application architecture, database structures, APIs, integrations, business rules, and technology roadmaps that affect reporting and analytics. Participate in project planning and solution reviews to ensure data, reporting, governance, and analytical requirements are considered during system design and implementation. Coordinate changes to data pipelines, warehouse structures, semantic models, datasets, dashboards, and reports resulting from application, database, integration, or process changes. Work with Software Engineering to define reliable methods for exposing, transforming, validating, and supporting data used by enterprise reporting. Maintain visibility into planned system changes and ensure downstream reporting impacts, dependencies, testing needs, and communication requirements are identified. Support the creation and maintenance of data dictionaries, business definitions, source mappings, lineage documentation, and technical dependencies. BI Platform, Data Warehouse & Delivery Oversight: Own the strategy, roadmap, standards, and operational oversight for Power BI, the enterprise data warehouse, reporting datasets, semantic models, and related BI capabilities. Oversee the design, development, testing, deployment, security, performance, reliability, and support of enterprise reports, dashboards, data models, and analytical solutions. Guide the design and maintenance of ETL/ELT pipelines, dimensional models, curated datasets, and data warehouse structures supporting BI and analytics needs. Review and approve significant BI architecture, modeling, dashboard, workspace, security, and data-governance decisions. Establish standards for Power BI workspaces, access, sharing, deployment, certification, refresh, monitoring, ownership, and support. Monitor platform and report performance, data-refresh reliability, usage, adoption, data quality, and scalability; coordinate corrective and improvement actions. Manage relevant vendors, consultants, licensing, and technology evaluations supporting BI and data initiatives. Perform other duties as assigned. Qualifications: Education and Experience: Bachelor's degree in Information Systems, Business Intelligence, Data Analytics, Computer Science, Business Administration, or a related field preferred; an equivalent combination of relevant education and professional experience may be considered. Five or more years of progressively responsible experience in business intelligence, enterprise reporting, analytics, data warehousing, data governance, or a related discipline preferred. Two or more years demonstrated leadership with BI teams, reporting functions, or complex cross-functional data initiatives preferred. Experience leading reporting intake, requirements management, prioritization, stakeholder communication, and delivery across multiple business functions. Experience with Power BI, enterprise reporting platforms, semantic models, data warehouses, relational databases, and data integration concepts. Telecommunications, broadband, ISP, OSS/BSS, CRM, GIS, network operations, customer operations, or other data-intensive operational experience preferred. Microsoft Power BI, data management, business analysis, project management, or comparable certifications are valued but not required. Skills and Competencies: Strong leadership and people-management skills with the ability to develop technical and analytical professionals and establish clear accountability. Strong understanding of enterprise reporting, data governance, data quality, dimensional modeling, semantic models, ETL/ELT processes, and data warehouse concepts. Working knowledge of Power BI administration and governance, report and dashboard design, DAX, SQL, data modeling, and relational databases. Ability to understand business processes and convert stakeholder objectives into clear reporting, analytical, data, and technical requirements. Ability to collaborate effectively with Software Engineering and understand the reporting impact of application, database, integration, and architectural changes. Ability to define authoritative metrics, resolve conflicting reporting definitions, and guide decisions involving data ownership, quality, access, and governance. Strong prioritization, project coordination, problem-solving, documentation, and organizational judgment. Excellent communication and facilitation skills with the ability to explain complex data concepts, risks, tradeoffs, and status to technical and non-technical audiences. Ability to balance long-term reporting architecture and governance with timely delivery of immediate business needs. Working Conditions: Ability to communicate effectively orally and in writing and operate standard office technology and equipment. Ability to travel to company locations and vendor or partner sites as business needs require. Requires prolonged periods of sitting at a desk and working on a computer workstation. Frequent participation in stakeholder meetings, requirements workshops, design reviews, demonstrations, and planning activities. Must be able to maintain visual focus on screens, dashboards, documents, data models, and written materials for extended periods. . click apply for full job details
Job Description Job Description System Integration Engineer - Level II Duration: 36 months (Contract - NO BENEFITS) Location: Remote (consultants may occasionally need to visit the office in Albany, NY for meetings or conferences, as required) Project: Rent Regulation System Modernization Job Summary Serve as the organization's Salesforce technical expert and architect for the Rent Regulation System Modernization project, representing the organization's technical interests with the implementation vendor. Define the Salesforce technical standards (coding, configuration, naming, security, and deployment) that the vendor must follow and the internal team will inherit. Review the vendor's architecture, data model, security model, and integration designs for quality, scalability, and long-term supportability, and recommend improvements. Review the vendor's code, configuration, and deployments against organizational standards, and identify defects, technical debt, and design risks before they are accepted. Verify that the vendor's designs and deliverables trace back to documented business requirements, including all case types and rent calculation rules. Review the vendor's large data volume strategy (indexing, query performance, data archiving, and record retention) for decades of building, apartment, and rent history data. Independently validate the vendor's data migration from the legacy rent regulation system, including data mapping, record counts, reconciliation, and data quality. Review the vendor's integration with the OpenText Content Server document management system, including how existing documents and scanned images are linked to new Salesforce case, registration, building, and apartment records, how access is secured, and how retention rules are applied. Make sure links to existing documents survive the change from legacy identifiers to new ones. Define and run parallel-run and reconciliation testing that compares Salesforce results to legacy system outputs for registrations, legal rent calculations, and case processing. Work with legacy system staff to capture and document business rules, data structures, and interfaces from the legacy rent regulation system. Design and build the data warehouse models and ETL processes that bring Salesforce and legacy data into the enterprise data warehouse, and support data feeds to other external agencies. Design master data for the core business entities (buildings, apartments, owners, and other parties) and make sure the vendor's Salesforce data model aligns with it. Analyze the existing .NET applications, document their business rules and data for the vendor's replacement work, and maintain and integrate them until they are retired. Develop hands-on proofs of concept and internally owned components to test vendor approaches and estimates. Help build the internal Salesforce support team: define the skills needed, mentor and train internal developers, and involve them in vendor work so they are ready to take over. Plan and manage the transition of support from the vendor to the internal team, making sure source code, environments, administrative access, documentation, and support procedures are handed over before the contract ends. Take part in vendor sprint reviews and design sessions with business analysts, project managers, and program staff. Mandatory Qualifications (Level II) More than 7 years of experience working on complex projects, with 2 or more years in a leadership role as a System Integration Engineer. 84 months of hands-on Salesforce development using Apex, including at least 12 months within the 36 months before the Staff Augmentation Tier II submission date. 60 months developing ETL (extract, transform, load) processes for an enterprise data warehouse. Desirable Qualifications 36 months as the client-side (customer or agency) technical lead or architect overseeing a vendor's or systems integrator's Salesforce implementation, including reviewing designs and code and verifying deliverables. 60 months migrating data from legacy or mainframe systems into Salesforce or other modern platforms, including data mapping, cleansing, and reconciliation. 36 months designing Salesforce solutions for large data volumes (more than 10 million records in a single object), including query performance and data archiving strategies. 60 months designing and implementing master data management solutions, including matching, de-duplication, and survivorship rules. 60 months developing and maintaining applications using Microsoft .NET (C# or VB.NET), including ASP.NET web applications. 36 months integrating Salesforce or other enterprise applications with an enterprise content management system (e.g., OpenText Content Server, OpenText Extended ECM, Documentum, FileNet, SharePoint).
11/12/2026
Full time
Job Description Job Description System Integration Engineer - Level II Duration: 36 months (Contract - NO BENEFITS) Location: Remote (consultants may occasionally need to visit the office in Albany, NY for meetings or conferences, as required) Project: Rent Regulation System Modernization Job Summary Serve as the organization's Salesforce technical expert and architect for the Rent Regulation System Modernization project, representing the organization's technical interests with the implementation vendor. Define the Salesforce technical standards (coding, configuration, naming, security, and deployment) that the vendor must follow and the internal team will inherit. Review the vendor's architecture, data model, security model, and integration designs for quality, scalability, and long-term supportability, and recommend improvements. Review the vendor's code, configuration, and deployments against organizational standards, and identify defects, technical debt, and design risks before they are accepted. Verify that the vendor's designs and deliverables trace back to documented business requirements, including all case types and rent calculation rules. Review the vendor's large data volume strategy (indexing, query performance, data archiving, and record retention) for decades of building, apartment, and rent history data. Independently validate the vendor's data migration from the legacy rent regulation system, including data mapping, record counts, reconciliation, and data quality. Review the vendor's integration with the OpenText Content Server document management system, including how existing documents and scanned images are linked to new Salesforce case, registration, building, and apartment records, how access is secured, and how retention rules are applied. Make sure links to existing documents survive the change from legacy identifiers to new ones. Define and run parallel-run and reconciliation testing that compares Salesforce results to legacy system outputs for registrations, legal rent calculations, and case processing. Work with legacy system staff to capture and document business rules, data structures, and interfaces from the legacy rent regulation system. Design and build the data warehouse models and ETL processes that bring Salesforce and legacy data into the enterprise data warehouse, and support data feeds to other external agencies. Design master data for the core business entities (buildings, apartments, owners, and other parties) and make sure the vendor's Salesforce data model aligns with it. Analyze the existing .NET applications, document their business rules and data for the vendor's replacement work, and maintain and integrate them until they are retired. Develop hands-on proofs of concept and internally owned components to test vendor approaches and estimates. Help build the internal Salesforce support team: define the skills needed, mentor and train internal developers, and involve them in vendor work so they are ready to take over. Plan and manage the transition of support from the vendor to the internal team, making sure source code, environments, administrative access, documentation, and support procedures are handed over before the contract ends. Take part in vendor sprint reviews and design sessions with business analysts, project managers, and program staff. Mandatory Qualifications (Level II) More than 7 years of experience working on complex projects, with 2 or more years in a leadership role as a System Integration Engineer. 84 months of hands-on Salesforce development using Apex, including at least 12 months within the 36 months before the Staff Augmentation Tier II submission date. 60 months developing ETL (extract, transform, load) processes for an enterprise data warehouse. Desirable Qualifications 36 months as the client-side (customer or agency) technical lead or architect overseeing a vendor's or systems integrator's Salesforce implementation, including reviewing designs and code and verifying deliverables. 60 months migrating data from legacy or mainframe systems into Salesforce or other modern platforms, including data mapping, cleansing, and reconciliation. 36 months designing Salesforce solutions for large data volumes (more than 10 million records in a single object), including query performance and data archiving strategies. 60 months designing and implementing master data management solutions, including matching, de-duplication, and survivorship rules. 60 months developing and maintaining applications using Microsoft .NET (C# or VB.NET), including ASP.NET web applications. 36 months integrating Salesforce or other enterprise applications with an enterprise content management system (e.g., OpenText Content Server, OpenText Extended ECM, Documentum, FileNet, SharePoint).
Job Description Job Description Product Owner, Business Intelligence, Automation and AI Position Summary: At TireHub we move more than tires - we move businesses forward, support communities, and help keep America rolling. And behind it all? Our people. We call them Hubbers - because they're at the center of everything we do. From behind the wheel to the warehouse floor, from customer calls to corporate strategy, every Hubber plays a role in something bigger than themselves. And we show up every day ready to say yes - to challenges, to each other, and to getting it done right. The Product Owner, Business Intelligence, Automation and AI plans and coordinates the development, enhancement, prioritization, and adoption of AI, automation, data warehouse, and Power BI reporting products with TireHub's business partners. This position provides product leadership and subject matter expertise across intelligent automation, applied AI, enterprise data, analytics, and reporting solutions. The Product Owner serves as the primary liaison between business stakeholders, technical teams, vendors, and leadership to ensure product roadmaps, backlogs, and delivered solutions align with TireHub's strategic priorities, operational needs, governance standards, and measurable business value. This position reports to Director, Enterprise Applications. The individual must exhibit the following core TireHub commitments: Approachable - If a company could smile, we would. Instead, we rely on our people to show it. We care about each other and our customers because we know business only gets done right when people respect each other and value relationships. Adventurous - What TireHub is set up to do is intentionally outrageous. So, we readily embrace challenges with the courage to introduce new ideas and the ambition to build something unique. Relentless - We tackle our work with energy. We deliver on our commitments with enthusiasm. And we don't give up until we get to the end. Speedy - Speed is the currency in the tire industry. When we commit to a job, we get the job done - and we do it fast. Role Specifics: Owns, maintains, and communicates the short-term and long-term product roadmap for AI, automation, enterprise data, data warehouse, and Power BI reporting capabilities. Partners with business leaders and stakeholders to identify, evaluate, and prioritize high-value use cases for AI, workflow automation, data products, dashboards, analytics, and reporting solutions. Maintains, and accounts for product team progress to business stakeholders in bi-weekly prioritization. Works with assigned architect and business analyst on ongoing process of backlog grooming and elaboration to prepare actionable content for sprints. Works with technical leads in assigned areas to plan appropriate level of resource augmentation with offshore partners. Works with the scrum master on fine tuning the agile process for the product team through retrospectives and metric analysis. Creates, maintains, and prioritizes product backlog items, user stories, epics, acceptance criteria, and delivery priorities based on business value, urgency, customer needs, resource availability, and strategic alignment. Acts as the primary point of contact between business stakeholders, data teams, automation engineers, AI enablement teams, vendors, and IT leadership to translate business needs into clear, actionable product requirements. Guides Agile delivery teams through successful delivery of committed sprints, ensuring requirements are clearly understood, business priorities are aligned, and blockers are resolved quickly. Collaborates with AI and automation technical resources to define, evaluate, pilot, and scale solutions such as workflow automation, robotic process automation, AI agents, copilots, generative AI-enabled processes, and intelligent business workflows. Works with data engineering and BI teams to support the data warehouse lifecycle, including source data intake, data modeling, transformation requirements, data quality expectations, metadata standards, and reporting needs. Partners with Power BI developers and business stakeholders to define trusted datasets, dashboards, reports, KPIs, data definitions, report adoption plans, and actionable insights for leadership and operational teams. Supports data governance, AI governance, security, privacy, and access control requirements by ensuring solutions follow TireHub standards for responsible AI use, data protection, and approved business processes. Prepares business cases, value estimates, adoption plans, and success metrics for AI, automation, data warehouse, and reporting initiatives. Evaluates emerging AI, automation, data, and analytics tools and capabilities, coordinating pilots and proofs of concept to determine business value and implementation feasibility. Facilitates QA, UAT, and validation activities to ensure delivered solutions meet business requirements, acceptance criteria, data quality expectations, and reporting accuracy standards. Monitors product performance, adoption, user feedback, and operational outcomes to continuously improve AI, automation, data, and reporting products. Communicates product priorities, delivery progress, risks, dependencies, and value realization to stakeholders and leadership in clear business terms. Facilitates problem resolution and removes blockers that are preventing delivery progression or product adoption. Participates and maintains ongoing training requirements through in-class, in-person, or computer-based learning modules, as assigned. Ensures individual adherence to TireHub policies, procedures, and guidelines. Completes other tasks assigned by their supervisor or another member of Leadership, as requested. Competencies: Product Vision & Strategy: Defines and communicates clear product direction, roadmaps, priorities, and value outcomes for AI, automation, data, and reporting capabilities. Innovation Orientation: Commits to creating and exploring new approaches, particularly at the intersection of AI, automation, and analytics, that enhance business performance. Data-Driven Decision Making: Uses analytics, KPIs, product metrics, business outcomes, and stakeholder feedback to guide product decisions and prioritization. Business & Financial Acumen: Understands ROI, cost savings, efficiency gains, risk reduction, adoption, and business value when evaluating product investments and delivery decisions. Optimizes Work Processes: Identifies and implements efficient processes, automation opportunities, and continuous improvement practices to improve business outcomes. Collaborates: Builds strong partnerships and works collaboratively with business stakeholders, IT teams, vendors, and leadership to achieve shared objectives. Agility and Adaptability: Thrives in an Agile environment and embraces new technologies, methods, and business priorities in a fast-moving AI, automation, and analytics landscape. Communication: Communicates technical concepts, data insights, product priorities, and delivery progress clearly to both technical and non-technical audiences. Education and Experience: Bachelor's degree in Information Systems, Computer Science, Data Analytics, Business, Engineering, or a related field required; an equivalent combination of education and experience will be considered. 5+ years of experience in product ownership, business analysis, product management, data analytics, business intelligence, automation, enterprise applications, or a related technology delivery role. 2+ years of experience applying Agile project management methodologies, preferably using JIRA or a similar tool. Experience creating product roadmaps, managing backlogs, writing user stories, defining acceptance criteria, and supporting Agile and Scrum delivery teams. Experience working with AI, automation, workflow modernization, Power Platform, Copilot, generative AI, or related emerging technology capabilities preferred. Experience with data warehouse, data lake, Lakehouse, ETL/ELT, data modeling, data governance, or enterprise reporting concepts preferred. Experience with Power BI reporting, including dashboards, datasets, KPIs, data visualization, and report adoption preferred. Experience translating business requirements into technical specifications for data, reporting, automation, or AI-enabled solutions. Strong organizational skills and demonstrated ability to manage multiple initiatives and drive them to successful, on-schedule completion. Experience working and collaborating with remote or geographically distributed team members across multiple time zones. Experience in distribution, supply chain, retail, logistics, or a similar industry preferred. Required Knowledge, Skills, and Abilities: Strong understanding of product ownership practices, including Agile delivery methodologies, backlog management, sprint planning, and stakeholder prioritization. Ability to analyze business processes, identify operational pain points, and translate improvement opportunities into clearly defined product requirements for AI, automation, data, and reporting solutions. Working knowledge of Power BI, including dashboard and report development, dataset management, KPI definition, data definitions . click apply for full job details
11/11/2026
Full time
Job Description Job Description Product Owner, Business Intelligence, Automation and AI Position Summary: At TireHub we move more than tires - we move businesses forward, support communities, and help keep America rolling. And behind it all? Our people. We call them Hubbers - because they're at the center of everything we do. From behind the wheel to the warehouse floor, from customer calls to corporate strategy, every Hubber plays a role in something bigger than themselves. And we show up every day ready to say yes - to challenges, to each other, and to getting it done right. The Product Owner, Business Intelligence, Automation and AI plans and coordinates the development, enhancement, prioritization, and adoption of AI, automation, data warehouse, and Power BI reporting products with TireHub's business partners. This position provides product leadership and subject matter expertise across intelligent automation, applied AI, enterprise data, analytics, and reporting solutions. The Product Owner serves as the primary liaison between business stakeholders, technical teams, vendors, and leadership to ensure product roadmaps, backlogs, and delivered solutions align with TireHub's strategic priorities, operational needs, governance standards, and measurable business value. This position reports to Director, Enterprise Applications. The individual must exhibit the following core TireHub commitments: Approachable - If a company could smile, we would. Instead, we rely on our people to show it. We care about each other and our customers because we know business only gets done right when people respect each other and value relationships. Adventurous - What TireHub is set up to do is intentionally outrageous. So, we readily embrace challenges with the courage to introduce new ideas and the ambition to build something unique. Relentless - We tackle our work with energy. We deliver on our commitments with enthusiasm. And we don't give up until we get to the end. Speedy - Speed is the currency in the tire industry. When we commit to a job, we get the job done - and we do it fast. Role Specifics: Owns, maintains, and communicates the short-term and long-term product roadmap for AI, automation, enterprise data, data warehouse, and Power BI reporting capabilities. Partners with business leaders and stakeholders to identify, evaluate, and prioritize high-value use cases for AI, workflow automation, data products, dashboards, analytics, and reporting solutions. Maintains, and accounts for product team progress to business stakeholders in bi-weekly prioritization. Works with assigned architect and business analyst on ongoing process of backlog grooming and elaboration to prepare actionable content for sprints. Works with technical leads in assigned areas to plan appropriate level of resource augmentation with offshore partners. Works with the scrum master on fine tuning the agile process for the product team through retrospectives and metric analysis. Creates, maintains, and prioritizes product backlog items, user stories, epics, acceptance criteria, and delivery priorities based on business value, urgency, customer needs, resource availability, and strategic alignment. Acts as the primary point of contact between business stakeholders, data teams, automation engineers, AI enablement teams, vendors, and IT leadership to translate business needs into clear, actionable product requirements. Guides Agile delivery teams through successful delivery of committed sprints, ensuring requirements are clearly understood, business priorities are aligned, and blockers are resolved quickly. Collaborates with AI and automation technical resources to define, evaluate, pilot, and scale solutions such as workflow automation, robotic process automation, AI agents, copilots, generative AI-enabled processes, and intelligent business workflows. Works with data engineering and BI teams to support the data warehouse lifecycle, including source data intake, data modeling, transformation requirements, data quality expectations, metadata standards, and reporting needs. Partners with Power BI developers and business stakeholders to define trusted datasets, dashboards, reports, KPIs, data definitions, report adoption plans, and actionable insights for leadership and operational teams. Supports data governance, AI governance, security, privacy, and access control requirements by ensuring solutions follow TireHub standards for responsible AI use, data protection, and approved business processes. Prepares business cases, value estimates, adoption plans, and success metrics for AI, automation, data warehouse, and reporting initiatives. Evaluates emerging AI, automation, data, and analytics tools and capabilities, coordinating pilots and proofs of concept to determine business value and implementation feasibility. Facilitates QA, UAT, and validation activities to ensure delivered solutions meet business requirements, acceptance criteria, data quality expectations, and reporting accuracy standards. Monitors product performance, adoption, user feedback, and operational outcomes to continuously improve AI, automation, data, and reporting products. Communicates product priorities, delivery progress, risks, dependencies, and value realization to stakeholders and leadership in clear business terms. Facilitates problem resolution and removes blockers that are preventing delivery progression or product adoption. Participates and maintains ongoing training requirements through in-class, in-person, or computer-based learning modules, as assigned. Ensures individual adherence to TireHub policies, procedures, and guidelines. Completes other tasks assigned by their supervisor or another member of Leadership, as requested. Competencies: Product Vision & Strategy: Defines and communicates clear product direction, roadmaps, priorities, and value outcomes for AI, automation, data, and reporting capabilities. Innovation Orientation: Commits to creating and exploring new approaches, particularly at the intersection of AI, automation, and analytics, that enhance business performance. Data-Driven Decision Making: Uses analytics, KPIs, product metrics, business outcomes, and stakeholder feedback to guide product decisions and prioritization. Business & Financial Acumen: Understands ROI, cost savings, efficiency gains, risk reduction, adoption, and business value when evaluating product investments and delivery decisions. Optimizes Work Processes: Identifies and implements efficient processes, automation opportunities, and continuous improvement practices to improve business outcomes. Collaborates: Builds strong partnerships and works collaboratively with business stakeholders, IT teams, vendors, and leadership to achieve shared objectives. Agility and Adaptability: Thrives in an Agile environment and embraces new technologies, methods, and business priorities in a fast-moving AI, automation, and analytics landscape. Communication: Communicates technical concepts, data insights, product priorities, and delivery progress clearly to both technical and non-technical audiences. Education and Experience: Bachelor's degree in Information Systems, Computer Science, Data Analytics, Business, Engineering, or a related field required; an equivalent combination of education and experience will be considered. 5+ years of experience in product ownership, business analysis, product management, data analytics, business intelligence, automation, enterprise applications, or a related technology delivery role. 2+ years of experience applying Agile project management methodologies, preferably using JIRA or a similar tool. Experience creating product roadmaps, managing backlogs, writing user stories, defining acceptance criteria, and supporting Agile and Scrum delivery teams. Experience working with AI, automation, workflow modernization, Power Platform, Copilot, generative AI, or related emerging technology capabilities preferred. Experience with data warehouse, data lake, Lakehouse, ETL/ELT, data modeling, data governance, or enterprise reporting concepts preferred. Experience with Power BI reporting, including dashboards, datasets, KPIs, data visualization, and report adoption preferred. Experience translating business requirements into technical specifications for data, reporting, automation, or AI-enabled solutions. Strong organizational skills and demonstrated ability to manage multiple initiatives and drive them to successful, on-schedule completion. Experience working and collaborating with remote or geographically distributed team members across multiple time zones. Experience in distribution, supply chain, retail, logistics, or a similar industry preferred. Required Knowledge, Skills, and Abilities: Strong understanding of product ownership practices, including Agile delivery methodologies, backlog management, sprint planning, and stakeholder prioritization. Ability to analyze business processes, identify operational pain points, and translate improvement opportunities into clearly defined product requirements for AI, automation, data, and reporting solutions. Working knowledge of Power BI, including dashboard and report development, dataset management, KPI definition, data definitions . click apply for full job details
Job Description Job Description ATI is Hiring. We are looking for a SQL Developer for our Kansas City, MO client. Position Summary The SQL Developer is responsible for designing, developing, maintaining, and optimizing databases and reporting solutions that support financial and accounting operations. This role partners closely with Finance, Accounting, Admin, and IT teams to develop reliable data integrations, financial reporting, reconciliations, and data quality initiatives that ensure the accuracy, integrity, and availability of critical business data. The ideal candidate combines strong technical expertise with a solid understanding of financial systems, data governance, and software development best practices. This position plays a key role in supporting business decision-making through scalable, auditable, and high-performance data solutions. Expectations Analyze, define, and document system requirements for data, workflow, logical processes, interfaces with other systems, auditing, reporting requirements, and production configuration Design, develop, test, implement, and maintain database and reporting solutions that support financial and operational objectives Develop and support data integration processes between internal and external systems, ensuring data accuracy, consistency, and completeness Adhere to established coding standards and procedures, including participation in the peer review process Ensure that each data flow has robust audit, data validation, error handling, monitoring, and reporting steps to always ensure accuracy and completeness of loaded data Provide accurate effort estimates to the Team Lead and/or Project Manager and project teams as appropriate Deliver testing support including the design and execution and documentation of test scripts Strong analytical and problem-solving skills Strong communication, presentation, and relationship management skills Experience working in a team-oriented, collaborative environment Ability to work with diverse teams Ability to maintain confidentiality Performs other related duties as assigned and required Competencies Strong understanding of accounting and financial data, concepts, and principles Advanced analytical, troubleshooting, and problem-solving skills Excellent verbal and written communication skills with the ability to communicate technical concepts to both technical and non-technical audiences Strong organizational and time-management skills with the ability to manage multiple priorities and deadlines Ability to build effective working relationships across business and technical teams Demonstrated commitment to quality, accuracy, and continuous improvement Ability to work independently while contributing effectively within a collaborative team environment Technical Qualifications Advanced proficiency in Microsoft SQL Server development and database design Experience developing complex T-SQL queries, stored procedures, views, functions, and performance optimization techniques Hands-on experience with: SQL Server Integration Services (SSIS) SQL Server Reporting Services (SSRS) Data warehouse and ETL development concepts Database performance tuning and troubleshooting Source control and change management processes The ability to work accurately and diligently under pressure, on multiple projects within your project timeframes Experience with CTE's and temporal tables is a plus Experience with Power BI is a plus Experience documenting and following specifications with complex business logic Experience with ADF is a plus Requisites Bachelor's Degree in Computer Science, similar degree, or equivalent work experience Financial and accounting reporting and data - 3 to 5 years SQL development in SQL Server 2014 and above - 3 to 5 years SSRS reports in SQL Server 2014 and above - 2 to 3 years SSIS development in SQL Server 2014 and above - 2 to 3 years Solid understanding of databases and data processing
11/11/2026
Full time
Job Description Job Description ATI is Hiring. We are looking for a SQL Developer for our Kansas City, MO client. Position Summary The SQL Developer is responsible for designing, developing, maintaining, and optimizing databases and reporting solutions that support financial and accounting operations. This role partners closely with Finance, Accounting, Admin, and IT teams to develop reliable data integrations, financial reporting, reconciliations, and data quality initiatives that ensure the accuracy, integrity, and availability of critical business data. The ideal candidate combines strong technical expertise with a solid understanding of financial systems, data governance, and software development best practices. This position plays a key role in supporting business decision-making through scalable, auditable, and high-performance data solutions. Expectations Analyze, define, and document system requirements for data, workflow, logical processes, interfaces with other systems, auditing, reporting requirements, and production configuration Design, develop, test, implement, and maintain database and reporting solutions that support financial and operational objectives Develop and support data integration processes between internal and external systems, ensuring data accuracy, consistency, and completeness Adhere to established coding standards and procedures, including participation in the peer review process Ensure that each data flow has robust audit, data validation, error handling, monitoring, and reporting steps to always ensure accuracy and completeness of loaded data Provide accurate effort estimates to the Team Lead and/or Project Manager and project teams as appropriate Deliver testing support including the design and execution and documentation of test scripts Strong analytical and problem-solving skills Strong communication, presentation, and relationship management skills Experience working in a team-oriented, collaborative environment Ability to work with diverse teams Ability to maintain confidentiality Performs other related duties as assigned and required Competencies Strong understanding of accounting and financial data, concepts, and principles Advanced analytical, troubleshooting, and problem-solving skills Excellent verbal and written communication skills with the ability to communicate technical concepts to both technical and non-technical audiences Strong organizational and time-management skills with the ability to manage multiple priorities and deadlines Ability to build effective working relationships across business and technical teams Demonstrated commitment to quality, accuracy, and continuous improvement Ability to work independently while contributing effectively within a collaborative team environment Technical Qualifications Advanced proficiency in Microsoft SQL Server development and database design Experience developing complex T-SQL queries, stored procedures, views, functions, and performance optimization techniques Hands-on experience with: SQL Server Integration Services (SSIS) SQL Server Reporting Services (SSRS) Data warehouse and ETL development concepts Database performance tuning and troubleshooting Source control and change management processes The ability to work accurately and diligently under pressure, on multiple projects within your project timeframes Experience with CTE's and temporal tables is a plus Experience with Power BI is a plus Experience documenting and following specifications with complex business logic Experience with ADF is a plus Requisites Bachelor's Degree in Computer Science, similar degree, or equivalent work experience Financial and accounting reporting and data - 3 to 5 years SQL development in SQL Server 2014 and above - 3 to 5 years SSRS reports in SQL Server 2014 and above - 2 to 3 years SSIS development in SQL Server 2014 and above - 2 to 3 years Solid understanding of databases and data processing
Job Description Job Description Remote : Informatica powercenter developer with Teradata exp. Most recent project must be Healthcare 10+ years and W2 role H1b transfer is fine H4 EAD,GC,USC Required Qualifications: • 7+ years of experience with Informatica PowerCenter and ETL development. • 5+ years of experience writing complex SQL and performance tuning. • 5+ years of experience with Teradata (v17+), including Fastload, TPT, and Multiload utilities. • 5+ years of Informatica PowerCenter administration experience. • 2+ years of Unix Shell (Bash/Korn) scripting experience. • Strong communication, collaboration, and mentoring skills. • Bachelor's or advanced degree in IT, Computer Science, Mathematics, or a related field. • Strong organizational and time management skills. Preferred Qualifications: • Residing in or near Springfield, IL. • 5+ years of data warehouse development experience. • 5+ years of data modeling experience using ERWIN or similar tools. • 2+ years of experience with Azure Data Factory and Snowflake. • Experience with scripting languages such as Python, R, or JavaScript (React). • Familiarity with Informatica Data Quality (IDQ), Address Doctor, and Metadata Manager. • Experience with Medicaid, Medicare, or healthcare data systems. • Experience working in Agile environments. • Knowledge of BI and data integration technologies across relational and multidimensional systems. Key Responsibilities: • Design and implement ETL solutions using Informatica PowerCenter to extract, transform, and load data from various agency sources. • Automate data staging processes and optimize ETL job scheduling for performance and efficiency. • Administer and support ETL environments, including development and production systems. • Perform repository backups, recovery operations, and system maintenance. • Develop mappings, mapplets, sessions, and workflows using a wide range of Informatica transformations. • Monitor and troubleshoot ETL jobs across development, testing, and production environments. • Write and optimize complex SQL queries and Unix Shell scripts for data marts and interfaces in Teradata. • Collaborate with stakeholders to define requirements, document technical solutions, and support project planning. • Participate in unit, integration, and system testing. • Provide technical support, mentoring, and guidance to team members. • Communicate project status and deliverables to leadership and clients. • Continuously learn and apply new technologies to enhance system performance and capabilities.
11/06/2026
Full time
Job Description Job Description Remote : Informatica powercenter developer with Teradata exp. Most recent project must be Healthcare 10+ years and W2 role H1b transfer is fine H4 EAD,GC,USC Required Qualifications: • 7+ years of experience with Informatica PowerCenter and ETL development. • 5+ years of experience writing complex SQL and performance tuning. • 5+ years of experience with Teradata (v17+), including Fastload, TPT, and Multiload utilities. • 5+ years of Informatica PowerCenter administration experience. • 2+ years of Unix Shell (Bash/Korn) scripting experience. • Strong communication, collaboration, and mentoring skills. • Bachelor's or advanced degree in IT, Computer Science, Mathematics, or a related field. • Strong organizational and time management skills. Preferred Qualifications: • Residing in or near Springfield, IL. • 5+ years of data warehouse development experience. • 5+ years of data modeling experience using ERWIN or similar tools. • 2+ years of experience with Azure Data Factory and Snowflake. • Experience with scripting languages such as Python, R, or JavaScript (React). • Familiarity with Informatica Data Quality (IDQ), Address Doctor, and Metadata Manager. • Experience with Medicaid, Medicare, or healthcare data systems. • Experience working in Agile environments. • Knowledge of BI and data integration technologies across relational and multidimensional systems. Key Responsibilities: • Design and implement ETL solutions using Informatica PowerCenter to extract, transform, and load data from various agency sources. • Automate data staging processes and optimize ETL job scheduling for performance and efficiency. • Administer and support ETL environments, including development and production systems. • Perform repository backups, recovery operations, and system maintenance. • Develop mappings, mapplets, sessions, and workflows using a wide range of Informatica transformations. • Monitor and troubleshoot ETL jobs across development, testing, and production environments. • Write and optimize complex SQL queries and Unix Shell scripts for data marts and interfaces in Teradata. • Collaborate with stakeholders to define requirements, document technical solutions, and support project planning. • Participate in unit, integration, and system testing. • Provide technical support, mentoring, and guidance to team members. • Communicate project status and deliverables to leadership and clients. • Continuously learn and apply new technologies to enhance system performance and capabilities.