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Prasad eNcloud
10:13 AM (5 hours ago) 10:13 AM
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Test Lead Contractor Role
Location: Knoxville, TN (Only Locals) Remote with travel into office
Experience: 6+ Years
Summary:
This individual will be responsible for developing and executing the overall testing strategy across Workday and UKG platforms, ensuring system quality, data integrity, and readiness for deployment. The ideal candidate has extensive experience leading end-to-end testing activities for Workday and/or UKG implementations, including system integration testing, user acceptance testing, payroll parallel testing, and production validation.
Develop and manage overall testing strategy, plans, schedules, and status reporting
Lead system integration, end-to-end, regression, user acceptance, and payroll parallel testing activities
Create and maintain test scenarios, scripts, and testing documentation
Coordinate testing efforts across business, functional, technical, and vendor teams
Validate system configurations, integrations, payroll calculations, and data conversions
Manage defect tracking, prioritization, resolution, and retesting activities
Support business users during testing and provide guidance on test execution and defect documentation
Monitor testing progress, quality metrics, risks, and readiness for go-live
Facilitate test readiness reviews and deployment sign-off activities
Drive continuous improvement of testing processes, tools, and best practices
Bachelor's degree or equivalent related experience
5+ years of software testing, quality assurance, or HR technology implementation experience
Experience leading testing efforts for at least two full lifecycle Workday and/or UKG implementations
Experience with system integration testing, UAT, regression testing, and payroll parallel testing
Experience with defect management and test management tools such as Jira
Experience leading or mentoring testing teams in complex implementation environments
Strong knowledge of Workday HCM, Workday Payroll, UKG Pro, or UKG Workforce Management
Knowledge of APIs, interfaces, middleware, file-based integrations, and data reconciliation processes
Strong analytical, organizational, communication, and stakeholder management skills
Workday, UKG, QA, or testing certifications
Experience supporting large-scale enterprise HR technology transformations
Experience with go-live readiness assessments and complex reconciliations
Location: Knoxville, TN (Only Locals) Remote with travel into office
Experience: 6+ Years
Summary:
This individual will be responsible for developing and executing the overall testing strategy across Workday and UKG platforms, ensuring system quality, data integrity, and readiness for deployment. The ideal candidate has extensive experience leading end-to-end testing activities for Workday and/or UKG implementations, including system integration testing, user acceptance testing, payroll parallel testing, and production validation.
Develop and manage overall testing strategy, plans, schedules, and status reporting
Lead system integration, end-to-end, regression, user acceptance, and payroll parallel testing activities
Create and maintain test scenarios, scripts, and testing documentation
Coordinate testing efforts across business, functional, technical, and vendor teams
Validate system configurations, integrations, payroll calculations, and data conversions
Manage defect tracking, prioritization, resolution, and retesting activities
Support business users during testing and provide guidance on test execution and defect documentation
Monitor testing progress, quality metrics, risks, and readiness for go-live
Facilitate test readiness reviews and deployment sign-off activities
Drive continuous improvement of testing processes, tools, and best practices
Bachelor's degree or equivalent related experience
5+ years of software testing, quality assurance, or HR technology implementation experience
Experience leading testing efforts for at least two full lifecycle Workday and/or UKG implementations
Experience with system integration testing, UAT, regression testing, and payroll parallel testing
Experience with defect management and test management tools such as Jira
Experience leading or mentoring testing teams in complex implementation environments
Strong knowledge of Workday HCM, Workday Payroll, UKG Pro, or UKG Workforce Management
Knowledge of APIs, interfaces, middleware, file-based integrations, and data reconciliation processes
Strong analytical, organizational, communication, and stakeholder management skills
Workday, UKG, QA, or testing certifications
Experience supporting large-scale enterprise HR technology transformations
Experience with go-live readiness assessments and complex reconciliations
___________________________________________________________________
Sr. Data & AI Strategist
Location: Deerfield Beach, FL
Experience: 10+ Years
JD:
Lead data science enablement across business groups: training, coaching, and workshop follow-through that helps stakeholders interpret and act on ML models, forecasts, and optimization outputs — converting AI and analytics products into active, governed usage.
Partner with senior data scientists: translate complex models, statistical outputs, and optimization recommendations (demand forecasting, logistics planning, supply chain optimization) into language executives and frontline users both understand.
Engage leadership directly: act as a credible, leadership-facing advocate who frames AI and analytics products around business decisions and P&L impact, and secures executive sponsorship for sustained adoption.
Build reusable assets: decision playbooks, model interpretation guides, prompt and skill libraries, templates, and accelerators that grow a self-sufficient community of model consumers.
Coordinate delivery across the AI and analytics portfolio: partner with data scientists, architects, business stakeholders, and IT to track adoption, manage dependencies, facilitate follow-ups, and support project management activities across models, dashboards, data assets, and adoption initiatives.
Support governance and safe scaling: monitor usage and adoption, ensure outputs are interpreted and applied correctly, and help steward the underlying data assets — upholding data quality, model governance, data security, and responsible-use practices as the consumer community grows.
6–10 years of experience in consulting, business analysis, or solution delivery, with a proven track record advising and enabling business users on AI, analytics, data, or decision-support products.
Demonstrated success driving adoption of data science, advanced analytics, or AI outputs in a business setting.
Ability to interpret and clearly explain machine learning outputs — forecasts, optimization recommendations, and statistical results — to non-technical audiences without misrepresenting them.
Strong facilitation and consulting skills: running workshops, mapping decisions, and translating AI and analytics outputs into practical, adopted business actions.
Excellent stakeholder communication; credible and comfortable operating in a leadership-facing capacity with both executives and frontline users.
Experience building training content, documentation, and reusable resources that scale self-service.
Working knowledge of data governance and stewardship, data quality, model governance, data security, and responsible-use practices.
Ability to leverage AI tools to code (e.g., Python, SQL) sufficient to explore data, validate model outputs, and prototype enablement assets — preferred, but not required for this role.
Prior experience in a Center of Excellence or enablement function scaling analytics or AI across an enterprise.
Familiarity with the Microsoft AI and analytics stack (Microsoft Fabric, Power BI, Azure ML, Azure AI Foundry, Microsoft Purview) and how data and models move from development into production consumption.
Experience partnering with data science teams to operationalize demand forecasting, optimization, or supply chain AI and analytics.
Automotive, distribution, supply chain, or field-operations domain experience.
One or more current Microsoft Learn credentials, such as:
Microsoft Certified: Power BI Data Analyst Associate (PL-300)
Microsoft Certified: Azure AI Fundamentals (AI-900)
Microsoft Certified: Fabric Analytics Engineer Associate (DP-600)
Microsoft Certified: Azure Data Scientist Associate (DP-100)
Microsoft Certified: Azure AI Engineer Associate (AI-102)
Location: Deerfield Beach, FL
Experience: 10+ Years
JD:
Lead data science enablement across business groups: training, coaching, and workshop follow-through that helps stakeholders interpret and act on ML models, forecasts, and optimization outputs — converting AI and analytics products into active, governed usage.
Partner with senior data scientists: translate complex models, statistical outputs, and optimization recommendations (demand forecasting, logistics planning, supply chain optimization) into language executives and frontline users both understand.
Engage leadership directly: act as a credible, leadership-facing advocate who frames AI and analytics products around business decisions and P&L impact, and secures executive sponsorship for sustained adoption.
Build reusable assets: decision playbooks, model interpretation guides, prompt and skill libraries, templates, and accelerators that grow a self-sufficient community of model consumers.
Coordinate delivery across the AI and analytics portfolio: partner with data scientists, architects, business stakeholders, and IT to track adoption, manage dependencies, facilitate follow-ups, and support project management activities across models, dashboards, data assets, and adoption initiatives.
Support governance and safe scaling: monitor usage and adoption, ensure outputs are interpreted and applied correctly, and help steward the underlying data assets — upholding data quality, model governance, data security, and responsible-use practices as the consumer community grows.
6–10 years of experience in consulting, business analysis, or solution delivery, with a proven track record advising and enabling business users on AI, analytics, data, or decision-support products.
Demonstrated success driving adoption of data science, advanced analytics, or AI outputs in a business setting.
Ability to interpret and clearly explain machine learning outputs — forecasts, optimization recommendations, and statistical results — to non-technical audiences without misrepresenting them.
Strong facilitation and consulting skills: running workshops, mapping decisions, and translating AI and analytics outputs into practical, adopted business actions.
Excellent stakeholder communication; credible and comfortable operating in a leadership-facing capacity with both executives and frontline users.
Experience building training content, documentation, and reusable resources that scale self-service.
Working knowledge of data governance and stewardship, data quality, model governance, data security, and responsible-use practices.
Ability to leverage AI tools to code (e.g., Python, SQL) sufficient to explore data, validate model outputs, and prototype enablement assets — preferred, but not required for this role.
Prior experience in a Center of Excellence or enablement function scaling analytics or AI across an enterprise.
Familiarity with the Microsoft AI and analytics stack (Microsoft Fabric, Power BI, Azure ML, Azure AI Foundry, Microsoft Purview) and how data and models move from development into production consumption.
Experience partnering with data science teams to operationalize demand forecasting, optimization, or supply chain AI and analytics.
Automotive, distribution, supply chain, or field-operations domain experience.
One or more current Microsoft Learn credentials, such as:
Microsoft Certified: Power BI Data Analyst Associate (PL-300)
Microsoft Certified: Azure AI Fundamentals (AI-900)
Microsoft Certified: Fabric Analytics Engineer Associate (DP-600)
Microsoft Certified: Azure Data Scientist Associate (DP-100)
Microsoft Certified: Azure AI Engineer Associate (AI-102)
___________________________________________________________________
Network System Admin
Experience: 4+ Years
Location: Boulder Colorado (Only Locals)
Remote
3 to 5 years or more as a Network systems administrator.
Configuring, monitoring, and managing the performance of a network to maintain quality of services. This may include expertise in network routing and switching, network troubleshooting, engineering and infrastructure, load balancing, and virtual private networks.
Firewall, TCP/IP, Network Security, Network Routing, Virtual Private Networks (VPN), Wide Area Networks, Network Switches
Local Area Networks, Border Gateway Protocol, Dynamic Host Configuration Protocol (DHCP), Load Balancing
Network Engineering, Network Infrastructure, Proxy Servers, Open Shortest Path First (OSPF)
Content Filtering, Network Troubleshooting, Internet Protocol Security (IP SEC)
Problem-Solving
Analytical Thinking, Cloud Management, Project Management, Network Monitoring, Access Management
Experience: 4+ Years
Location: Boulder Colorado (Only Locals)
Remote
3 to 5 years or more as a Network systems administrator.
Configuring, monitoring, and managing the performance of a network to maintain quality of services. This may include expertise in network routing and switching, network troubleshooting, engineering and infrastructure, load balancing, and virtual private networks.
Firewall, TCP/IP, Network Security, Network Routing, Virtual Private Networks (VPN), Wide Area Networks, Network Switches
Local Area Networks, Border Gateway Protocol, Dynamic Host Configuration Protocol (DHCP), Load Balancing
Network Engineering, Network Infrastructure, Proxy Servers, Open Shortest Path First (OSPF)
Content Filtering, Network Troubleshooting, Internet Protocol Security (IP SEC)
Problem-Solving
Analytical Thinking, Cloud Management, Project Management, Network Monitoring, Access Management
___________________________________________________________________
Lead WMS Engineer
Location: Atlanta, GA (Need Locals)
ONSITE
50% travel all over the states - reimbursed
80% management and 20% implementing
Job Description:
Desired Qualifications & Experiences
Bachelor’s degree in Engineering, related field, or equivalent work experience
Minimum 10+ years of experience, developing workflows & config within Manhattan WMS (WMOS, MAWM) Applications, working with WES and MHE Implementations
Familiarity with modern tech stacks, API development, Google Cloud
Experience working with cloud platforms and cloud-native development.
Experience with Host (ERP) - WMS Integrations using Manhattan Integration Framework (MIF)
Knowledge of integrating warehouse management systems with other equipment and systems such as, Warehouse control systems (WCS), TMS, and ShipExec is desirable.
Creative & Critical Thinking and Driving Results which are required in resolving complex projects or tasks
Excellent internal and external customer service skills with the ability to communicate effectively
Project management, analytical, troubleshooting, and critical thinking skills
Strong verbal and written communication skills
Ability to work well under pressure, independently or within a team
Exceptional follow up and diligence
Exposure to DevOps practices and tools.
Knowledge of AI tools and industry trends
Serves as a subject matter expert within the Manhattan Associates suite of applications, Preferably MA Active WMS Platform
Lead and manage a team of Engineers and Senior Engineers
Serves as a subject matter expert for all DC Automation systems (WES, MHE) integrating with WMS Systems
Provide technical guidance in API development, Google Cloud development and support to the implementation team.
Develop and support MA Active ProActive Custom changes as per business need
Collaborate with stakeholders to gather requirements and translate them into technical specifications.
Optimize warehouse operations by developing and implementing best practices and process improvements.
Monitor system performance and recommend improvements to improve productivity.
Conduct workshops sessions to ensure effective use of the system.
Stay updated with Manhattan Active new product release (innovations) in warehouse management.
Self-sufficient - completes tasks competently, effectively, and efficiently based on level of priority
Provide guidance for automation testing and Performance testing for WMS application
Develop test plans for both unit and systems testing
Verify the finalization of the stability of Code deliverables (SDN & Config) from Manhattan, as well as the impact of the production system.
Must completely document all modifications and be able to maintain systems level documentation.
Assist in developing and maintaining departmental systems standards
Support and troubleshooting issues with the assistance of the functional analysts.
Work with architects and team, to incorporate Artificial Intelligence (AI) tools and techniques to solve business problems
Be part of an On-call rotation and support for Business continuity after Go-Live
Location: Atlanta, GA (Need Locals)
ONSITE
50% travel all over the states - reimbursed
80% management and 20% implementing
Job Description:
Desired Qualifications & Experiences
Bachelor’s degree in Engineering, related field, or equivalent work experience
Minimum 10+ years of experience, developing workflows & config within Manhattan WMS (WMOS, MAWM) Applications, working with WES and MHE Implementations
Familiarity with modern tech stacks, API development, Google Cloud
Experience working with cloud platforms and cloud-native development.
Experience with Host (ERP) - WMS Integrations using Manhattan Integration Framework (MIF)
Knowledge of integrating warehouse management systems with other equipment and systems such as, Warehouse control systems (WCS), TMS, and ShipExec is desirable.
Creative & Critical Thinking and Driving Results which are required in resolving complex projects or tasks
Excellent internal and external customer service skills with the ability to communicate effectively
Project management, analytical, troubleshooting, and critical thinking skills
Strong verbal and written communication skills
Ability to work well under pressure, independently or within a team
Exceptional follow up and diligence
Exposure to DevOps practices and tools.
Knowledge of AI tools and industry trends
Serves as a subject matter expert within the Manhattan Associates suite of applications, Preferably MA Active WMS Platform
Lead and manage a team of Engineers and Senior Engineers
Serves as a subject matter expert for all DC Automation systems (WES, MHE) integrating with WMS Systems
Provide technical guidance in API development, Google Cloud development and support to the implementation team.
Develop and support MA Active ProActive Custom changes as per business need
Collaborate with stakeholders to gather requirements and translate them into technical specifications.
Optimize warehouse operations by developing and implementing best practices and process improvements.
Monitor system performance and recommend improvements to improve productivity.
Conduct workshops sessions to ensure effective use of the system.
Stay updated with Manhattan Active new product release (innovations) in warehouse management.
Self-sufficient - completes tasks competently, effectively, and efficiently based on level of priority
Provide guidance for automation testing and Performance testing for WMS application
Develop test plans for both unit and systems testing
Verify the finalization of the stability of Code deliverables (SDN & Config) from Manhattan, as well as the impact of the production system.
Must completely document all modifications and be able to maintain systems level documentation.
Assist in developing and maintaining departmental systems standards
Support and troubleshooting issues with the assistance of the functional analysts.
Work with architects and team, to incorporate Artificial Intelligence (AI) tools and techniques to solve business problems
Be part of an On-call rotation and support for Business continuity after Go-Live
Thanks & Regards
Prasad Gundraju
Manager, Client Relations and Business Development
E: pGun...@encloudservices.com
LinkedIn: https://www.linkedin.com/in/prasad-vara-561a9b2a/
Katy, TX | Westborough, MA.
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