Position - Salesforce Commercial Excellence Consultant Location - Remote Experience - 10+ Years Job - Full Time Job Description - Commercial excellence transformation focusing on marketing, sales, CPQ, digital commerce, after sales parts , inventory management, service contracts, field service management, warranty and maintenance processes Business transformation for leading manufacturing customers with global scale and complexity and delivering business outcomes Salesforce platform certification and core product experience (sales, service, CPQ, experience, Agentforce, manufacturing / automotive cloud) Strategic and business-outcome-oriented AI strategy leveraging Agentforce to drive enterprise AI transformation across the commercial value chain in manufacturing organizations. This includes shaping and executing AI strategy across key domains including marketing, sales, customer service, CPQ, aftermarket, and channel/dealer/distributor experience. Business transformation expertise, commercial process knowledge, and practical understanding of AI technologies and platforms to help manufacturing clients unlock measurable impact in growth, productivity, customer experience, and operational efficiency. Working with business stakeholders, digital/IT teams, and platform partners to identify high-value AI opportunities, define business cases, prioritize investments, and drive scalable adoption. Deep experience in process transformation, strategy development, operating model design, and value realization, preferably within industrial, manufacturing, automotive, aerospace, high-tech, or aftermarket-intensive sectors. Experience building business cases, ROI models, strategic roadmaps, and executive presentations for transformation initiatives. Experience working in complex enterprise environments with multiple stakeholders and cross-functional dependencies. Roles & Responsibilities • Advise leading global manufacturing clients (Industrial) on commercial excellence (lead to cash) process consulting, business development and IT product evaluation. • Work in consulting assignments at various client locations. Own work-streams within a large assignment. Lead consulting assignments. • Drive process transformation and solution leveraging Salesforce ecosystem - Sales Cloud, Service Cloud, Revenue Cloud, Manufacturing Cloud / Automotive Cloud, Experience Cloud • Support practice building through thought leadership, go to market assets, solution accelerators & frameworks. • AI Strategy (Salesforce Agentforce, Data Cloud) for Commercial Excellence: Define and lead AI strategy for commercial functions across the customer lifecycle and commercial journeys to identify and prioritize AI use cases aligned to business goals , translate enterprise strategy into a pragmatic AI roadmap, and advise leadership on how to embed AI into commercial operating models, decision-making, and frontline execution. • Lead discovery workshops with business and digital stake holders to identify, refine, and evaluate AI use cases. • Business process and process redesign: Redesign business processes to incorporate AI-enabled decision support, automation, recommendations, predictive insights, and agent-assisted workflows. • Drive process harmonization and cross-functional alignment across front-office and adjacent functions such as supply chain, pricing, product, finance, and field service. • Build robust business cases for AI initiatives, including value hypotheses, investment requirements, implementation assumptions, risks, and expected ROI. • Work with enterprise technology and platform teams to align AI strategy with core business platforms and data foundations. • Partner with senior business leaders across sales, marketing, service, digital, IT, and operations to shape AI agendas and gain sponsorship.
08/03/2026
Full time
Position - Salesforce Commercial Excellence Consultant Location - Remote Experience - 10+ Years Job - Full Time Job Description - Commercial excellence transformation focusing on marketing, sales, CPQ, digital commerce, after sales parts , inventory management, service contracts, field service management, warranty and maintenance processes Business transformation for leading manufacturing customers with global scale and complexity and delivering business outcomes Salesforce platform certification and core product experience (sales, service, CPQ, experience, Agentforce, manufacturing / automotive cloud) Strategic and business-outcome-oriented AI strategy leveraging Agentforce to drive enterprise AI transformation across the commercial value chain in manufacturing organizations. This includes shaping and executing AI strategy across key domains including marketing, sales, customer service, CPQ, aftermarket, and channel/dealer/distributor experience. Business transformation expertise, commercial process knowledge, and practical understanding of AI technologies and platforms to help manufacturing clients unlock measurable impact in growth, productivity, customer experience, and operational efficiency. Working with business stakeholders, digital/IT teams, and platform partners to identify high-value AI opportunities, define business cases, prioritize investments, and drive scalable adoption. Deep experience in process transformation, strategy development, operating model design, and value realization, preferably within industrial, manufacturing, automotive, aerospace, high-tech, or aftermarket-intensive sectors. Experience building business cases, ROI models, strategic roadmaps, and executive presentations for transformation initiatives. Experience working in complex enterprise environments with multiple stakeholders and cross-functional dependencies. Roles & Responsibilities • Advise leading global manufacturing clients (Industrial) on commercial excellence (lead to cash) process consulting, business development and IT product evaluation. • Work in consulting assignments at various client locations. Own work-streams within a large assignment. Lead consulting assignments. • Drive process transformation and solution leveraging Salesforce ecosystem - Sales Cloud, Service Cloud, Revenue Cloud, Manufacturing Cloud / Automotive Cloud, Experience Cloud • Support practice building through thought leadership, go to market assets, solution accelerators & frameworks. • AI Strategy (Salesforce Agentforce, Data Cloud) for Commercial Excellence: Define and lead AI strategy for commercial functions across the customer lifecycle and commercial journeys to identify and prioritize AI use cases aligned to business goals , translate enterprise strategy into a pragmatic AI roadmap, and advise leadership on how to embed AI into commercial operating models, decision-making, and frontline execution. • Lead discovery workshops with business and digital stake holders to identify, refine, and evaluate AI use cases. • Business process and process redesign: Redesign business processes to incorporate AI-enabled decision support, automation, recommendations, predictive insights, and agent-assisted workflows. • Drive process harmonization and cross-functional alignment across front-office and adjacent functions such as supply chain, pricing, product, finance, and field service. • Build robust business cases for AI initiatives, including value hypotheses, investment requirements, implementation assumptions, risks, and expected ROI. • Work with enterprise technology and platform teams to align AI strategy with core business platforms and data foundations. • Partner with senior business leaders across sales, marketing, service, digital, IT, and operations to shape AI agendas and gain sponsorship.
Role- Frontend Developer Location - Malvern, PA, 19355 / Charlotte, NC, 28262 Job Type- Full Time Employment Job description Below Strong React experience, HTML, CSS Excellent Javascript/Typescript knowledge and programming experience with ES5/ES6 Solid understanding of GitHub Experience with CI/CD Experience with Playwright and automated testing tools and frameworks Roles & Responsibilities Develop, enhance, and maintain modern, scalable, and high-performance web applications using React, JavaScript/TypeScript, and related frontend technologies while ensuring code quality, automation, and seamless CI/CD delivery. Key Responsibilities Design, develop, and maintain responsive and user-friendly web applications using React.js and modern frontend frameworks. Build reusable, modular, and scalable UI components using JavaScript (ES5/ES6) and TypeScript. Translate UI/UX designs, wireframes, and business requirements into high-quality production- ready code. Develop responsive web interfaces using HTML5, CSS3, and modern styling frameworks. Optimize application performance, accessibility, and cross-browser compatibility. Collaborate with product owners, UX designers, backend developers, and stakeholders to deliver business requirements. Write clean, maintainable, and well-documented code following frontend development best practices and coding standards. Implement state management solutions and ensure efficient data flow across applications. Participate in code reviews, provide constructive feedback, and promote coding best practices within the team. Manage source code using GitHub, including branching, pull requests, code merges, and release management. Set up and maintain CI/CD pipelines to automate build, test, and deployment processes. Troubleshoot, debug, and resolve application defects and production issues. Develop and maintain automated test scripts using Playwright and other testing frameworks. Create and execute unit, integration, end-to-end (E2E), and regression test cases to ensure application quality. Monitor application stability and performance through automated testing and continuous integration processes. Ensure adherence to security, accessibility, and compliance standards throughout the development lifecycle. Participate in Agile ceremonies including sprint planning, daily stand-ups, backlog grooming, and retrospectives. Support production deployments and provide post-release monitoring and issue resolution.
08/03/2026
Full time
Role- Frontend Developer Location - Malvern, PA, 19355 / Charlotte, NC, 28262 Job Type- Full Time Employment Job description Below Strong React experience, HTML, CSS Excellent Javascript/Typescript knowledge and programming experience with ES5/ES6 Solid understanding of GitHub Experience with CI/CD Experience with Playwright and automated testing tools and frameworks Roles & Responsibilities Develop, enhance, and maintain modern, scalable, and high-performance web applications using React, JavaScript/TypeScript, and related frontend technologies while ensuring code quality, automation, and seamless CI/CD delivery. Key Responsibilities Design, develop, and maintain responsive and user-friendly web applications using React.js and modern frontend frameworks. Build reusable, modular, and scalable UI components using JavaScript (ES5/ES6) and TypeScript. Translate UI/UX designs, wireframes, and business requirements into high-quality production- ready code. Develop responsive web interfaces using HTML5, CSS3, and modern styling frameworks. Optimize application performance, accessibility, and cross-browser compatibility. Collaborate with product owners, UX designers, backend developers, and stakeholders to deliver business requirements. Write clean, maintainable, and well-documented code following frontend development best practices and coding standards. Implement state management solutions and ensure efficient data flow across applications. Participate in code reviews, provide constructive feedback, and promote coding best practices within the team. Manage source code using GitHub, including branching, pull requests, code merges, and release management. Set up and maintain CI/CD pipelines to automate build, test, and deployment processes. Troubleshoot, debug, and resolve application defects and production issues. Develop and maintain automated test scripts using Playwright and other testing frameworks. Create and execute unit, integration, end-to-end (E2E), and regression test cases to ensure application quality. Monitor application stability and performance through automated testing and continuous integration processes. Ensure adherence to security, accessibility, and compliance standards throughout the development lifecycle. Participate in Agile ceremonies including sprint planning, daily stand-ups, backlog grooming, and retrospectives. Support production deployments and provide post-release monitoring and issue resolution.
Role - Lead Backend Architect Node.js, Cloud & AI Location - NYC NY (onsite) Job Type- Full Time Employment Job description Below 10+ years of experience in designing and building enterprise-scale, cloud-native backend systems and distributed architectures. Strong hands-on expertise in Node.js, JavaScript, and TypeScript (must-have), with working knowledge of Python and Go. Extensive experience developing microservices, REST/gRPC APIs, event-driven architectures, and scalable backend platforms. Strong expertise in AWS and/or GCP, Kubernetes, Docker, cloud-native architecture, and CI/CD pipelines. Experience with distributed messaging and streaming technologies such as Kafka, queues, and asynchronous processing. Proven experience designing highly available, secure, scalable, and resilient backend systems. Strong understanding of databases (SQL/NoSQL), caching, observability, logging, and performance optimization. Mandatory experience integrating Large Language Models (LLMs) into enterprise applications and backend platforms. Hands-on experience with Agentic AI frameworks such as LangGraph, LangChain, LlamaIndex, CrewAI, or Semantic Kernel. Experience building Retrieval-Augmented Generation (RAG) pipelines, AI orchestration workflows, and LLM gateways. Working knowledge of PyTorch, Hugging Face ecosystem, embeddings, inference, and model evaluation. Strong understanding of AI governance, evaluation, safety, and responsible AI practices. Excellent architecture, technical leadership, stakeholder management, and mentoring skills. Required Technologies Languages: Node.js, JavaScript, Typescript, Python, Go Cloud: AWS/GCP Containers: Kubernetes, Docker APIs: REST, gRPC Messaging: Kafka or equivalent AI Frameworks: LangGraph, LangChain, LlamaIndex, CrewAI, Semantic Kernel ML: Hugging Face, PyTorch DevOps: CI/CD, Terraform (preferred) Roles & Responsibilities Lead the architecture, design, and implementation of scalable cloud-native backend platforms for Lounge Services. Design and develop high-performance microservices and APIs using Node.js/TypeScript on AWS/GCP. Define architecture standards for distributed systems, event-driven solutions, messaging, and cloud-native applications. Drive the adoption of AI capabilities by integrati ng LLMs and Agentic AI into enterprise backend services. Design and implement reusable AI platform components including orchestration, RAG pipelines, model gateways, and AI observability. Provide technical leadership across engineering teams, driving architecture reviews, engineering best practices, and technology decisions. Collaborate with Product, Engineering, Security, and Enterprise Architecture teams to deliver scalable and secure solutions. Mentor engineering teams and influence technical direction across multiple initiatives. Evaluate emerging backend, cloud, and AI technologies and recommend enterprise adoption where appropriate. Ensure solutions meet enterprise standards for scalability, reliability, security, performance, and operational excellence.
08/03/2026
Full time
Role - Lead Backend Architect Node.js, Cloud & AI Location - NYC NY (onsite) Job Type- Full Time Employment Job description Below 10+ years of experience in designing and building enterprise-scale, cloud-native backend systems and distributed architectures. Strong hands-on expertise in Node.js, JavaScript, and TypeScript (must-have), with working knowledge of Python and Go. Extensive experience developing microservices, REST/gRPC APIs, event-driven architectures, and scalable backend platforms. Strong expertise in AWS and/or GCP, Kubernetes, Docker, cloud-native architecture, and CI/CD pipelines. Experience with distributed messaging and streaming technologies such as Kafka, queues, and asynchronous processing. Proven experience designing highly available, secure, scalable, and resilient backend systems. Strong understanding of databases (SQL/NoSQL), caching, observability, logging, and performance optimization. Mandatory experience integrating Large Language Models (LLMs) into enterprise applications and backend platforms. Hands-on experience with Agentic AI frameworks such as LangGraph, LangChain, LlamaIndex, CrewAI, or Semantic Kernel. Experience building Retrieval-Augmented Generation (RAG) pipelines, AI orchestration workflows, and LLM gateways. Working knowledge of PyTorch, Hugging Face ecosystem, embeddings, inference, and model evaluation. Strong understanding of AI governance, evaluation, safety, and responsible AI practices. Excellent architecture, technical leadership, stakeholder management, and mentoring skills. Required Technologies Languages: Node.js, JavaScript, Typescript, Python, Go Cloud: AWS/GCP Containers: Kubernetes, Docker APIs: REST, gRPC Messaging: Kafka or equivalent AI Frameworks: LangGraph, LangChain, LlamaIndex, CrewAI, Semantic Kernel ML: Hugging Face, PyTorch DevOps: CI/CD, Terraform (preferred) Roles & Responsibilities Lead the architecture, design, and implementation of scalable cloud-native backend platforms for Lounge Services. Design and develop high-performance microservices and APIs using Node.js/TypeScript on AWS/GCP. Define architecture standards for distributed systems, event-driven solutions, messaging, and cloud-native applications. Drive the adoption of AI capabilities by integrati ng LLMs and Agentic AI into enterprise backend services. Design and implement reusable AI platform components including orchestration, RAG pipelines, model gateways, and AI observability. Provide technical leadership across engineering teams, driving architecture reviews, engineering best practices, and technology decisions. Collaborate with Product, Engineering, Security, and Enterprise Architecture teams to deliver scalable and secure solutions. Mentor engineering teams and influence technical direction across multiple initiatives. Evaluate emerging backend, cloud, and AI technologies and recommend enterprise adoption where appropriate. Ensure solutions meet enterprise standards for scalability, reliability, security, performance, and operational excellence.
Role - Aprimo Engineer Location - San Antonio TX (onsite) Job type- Full Time Employment Job description Below Must Have Technical/Functional Skills: APRIMO development is MUST REST API Adobe DAM Salesforce Marketing cloud Snowflake Data Modelling Roles & Responsibilities Aprimo, Snowflake, Salesforce Marketing clouds, Adobe -CMS & DAM Build and maintain secure APIs and data pipelines. Develop reporting within Aprimo and support analytics via Tableau and Power BI 6-7 years of software development experience, Design, build, optimize, and implement complex Aprimo workflows supporting enterprise marketing operations Acquires requirements, designs and develops databases or systems that access or integrate with databases. Analyzes database requirements of the users, applications and operations and provides feedback. Configures and tests new business systems data stores. Provides recommendations including definition of physical structure, functional capabilities, security structure, and the backup and recovery processes. Develops and optimizes stored procedures. Documents system details and maintenance process and trains DBAs as needed. Strong knowledge of the development and deployment of enterprise-wide databases and related systems required. Strong skills in data modeling, physical database design and logic also essential.
08/03/2026
Full time
Role - Aprimo Engineer Location - San Antonio TX (onsite) Job type- Full Time Employment Job description Below Must Have Technical/Functional Skills: APRIMO development is MUST REST API Adobe DAM Salesforce Marketing cloud Snowflake Data Modelling Roles & Responsibilities Aprimo, Snowflake, Salesforce Marketing clouds, Adobe -CMS & DAM Build and maintain secure APIs and data pipelines. Develop reporting within Aprimo and support analytics via Tableau and Power BI 6-7 years of software development experience, Design, build, optimize, and implement complex Aprimo workflows supporting enterprise marketing operations Acquires requirements, designs and develops databases or systems that access or integrate with databases. Analyzes database requirements of the users, applications and operations and provides feedback. Configures and tests new business systems data stores. Provides recommendations including definition of physical structure, functional capabilities, security structure, and the backup and recovery processes. Develops and optimizes stored procedures. Documents system details and maintenance process and trains DBAs as needed. Strong knowledge of the development and deployment of enterprise-wide databases and related systems required. Strong skills in data modeling, physical database design and logic also essential.
Role - Actimize Data Modeler (Financial Crime Technology) Location - Phoenix AZ (Onsite) Job Type- Full Time Employment Job description Below The Actimize Data Modeler is responsible for designing, developing, and maintaining data models that support the implementation and optimization of the Actimize platform for AML, KYC, Customer Risk Rating, and Transaction Monitoring solutions. The role works closely with business analysts, data architects, Actimize developers, and compliance stakeholders to ensure accurate data integration and regulatory reporting. Key Responsibilities Design and maintain conceptual, logical, and physical data models for Actimize applications. Analyze source systems and map data elements to the Actimize Common Data Model (ACDM). Define ETL requirements and data transformation rules for AML and Financial Crime solutions. Collaborate with business stakeholders to understand regulatory and compliance requirements. Perform data profiling, data quality assessments, and gap analysis. Support implementation of: Actimize Integrated Fraud Management Actimize Transaction Monitoring Customer Due Diligence (CDD) Know Your Customer (KYC) Watchlist Screening Customer Risk Rating ActOne Create source-to-target mapping documents and data dictionaries. Work with database teams to optimize data structures and performance. Support UAT, SIT, and production deployments. Ensure data governance, lineage, and auditability requirements are met. Required Skills Strong experience with NICE Actimize platform. Deep understanding of Actimize Common Data Model (ACDM). Experience in fraud, AML, KYC, Sanctions Screening, and Fraud Strong SQL skills (Oracle, SQL Server, PostgreSQL, or DB2). Experience with ETL tools and data integration frameworks. Knowledge of data warehousing and dimensional modeling. Ability to create source-to-target mappings and data lineage documentation. Experience with large-scale banking data environments.
08/03/2026
Full time
Role - Actimize Data Modeler (Financial Crime Technology) Location - Phoenix AZ (Onsite) Job Type- Full Time Employment Job description Below The Actimize Data Modeler is responsible for designing, developing, and maintaining data models that support the implementation and optimization of the Actimize platform for AML, KYC, Customer Risk Rating, and Transaction Monitoring solutions. The role works closely with business analysts, data architects, Actimize developers, and compliance stakeholders to ensure accurate data integration and regulatory reporting. Key Responsibilities Design and maintain conceptual, logical, and physical data models for Actimize applications. Analyze source systems and map data elements to the Actimize Common Data Model (ACDM). Define ETL requirements and data transformation rules for AML and Financial Crime solutions. Collaborate with business stakeholders to understand regulatory and compliance requirements. Perform data profiling, data quality assessments, and gap analysis. Support implementation of: Actimize Integrated Fraud Management Actimize Transaction Monitoring Customer Due Diligence (CDD) Know Your Customer (KYC) Watchlist Screening Customer Risk Rating ActOne Create source-to-target mapping documents and data dictionaries. Work with database teams to optimize data structures and performance. Support UAT, SIT, and production deployments. Ensure data governance, lineage, and auditability requirements are met. Required Skills Strong experience with NICE Actimize platform. Deep understanding of Actimize Common Data Model (ACDM). Experience in fraud, AML, KYC, Sanctions Screening, and Fraud Strong SQL skills (Oracle, SQL Server, PostgreSQL, or DB2). Experience with ETL tools and data integration frameworks. Knowledge of data warehousing and dimensional modeling. Ability to create source-to-target mappings and data lineage documentation. Experience with large-scale banking data environments.
Role - SAP Quality Assurance Developer TOSCA Location - Seattle, WA / Dallas, TX / St.Louis ,MO onsite Job Type- Full Time Employment Job description below Must Have Technical/Functional Skills • Hands on experience with Tricentis TOSCA for SAP test automation • Strong knowledge of SAP business processes and modules • Experience in automation testing (SAP GUI, Fiori, Web applications) • Understanding of test lifecycle management and defect management • Strong analytical, debugging, and problem solving skills • Excellent verbal and written communication skills Roles & Responsibilities We are looking for a skilled SAP TOSCA Developer with strong experience in SAP test automation to design, develop, and maintain automated test solutions for complex SAP landscapes. The role involves working closely with SAP functional, technical, and business teams to ensure high quality, scalable, and reusable automation frameworks using Tricentis TOSCA. SAP Test Automation Development Design, develop, and execute automated test cases using Tricentis TOSCA for SAP applications Build reusable, maintainable automation components using TOSCA Modules, TestCases, and Business Parameterization Automate testing for SAP ECC and S/4HANA systems across modules such as FI, CO, MM, SD, PP, and Master Data Modularize tests and modules for reusability and scalability by effectively creating RTBs and robust module attributes Parameterize the scripts using data from Test Data Management (TDM), TCD, Config files Test Planning & Execution Analyze functional and technical requirements to define automation scope and coverage Create and execute regression, integration, and end to end test suites Manage test execution cycles, defect identification, tracking, and closure using SAP/ALM / Azure DevOps / QTest tools Formularize the automation scripts to be executed in different environments Framework & Tool Management Maintain and enhance TOSCA automation frameworks for performance, scalability, and reuse Integrate TOSCA with CI/CD pipelines and test management tools Support automation strategy, standards, and best practices across SAP projects Collaboration & Support • Work closely with SAP Functional Consultants, Developers, and Business users • Participate in defect triage meetings and provide root cause analysis • Support UAT, mock cycles, cutover, and go live testing phases • Review Automation Scripts from other QAs and provide feedback and best practices Generic Managerial Skills, If any • Excellent communication, presentation, and stakeholder management skills. • Leadership experience with onsite/offshore teams. • Strong problem solving, analytical, and decision-making abilities.
08/03/2026
Full time
Role - SAP Quality Assurance Developer TOSCA Location - Seattle, WA / Dallas, TX / St.Louis ,MO onsite Job Type- Full Time Employment Job description below Must Have Technical/Functional Skills • Hands on experience with Tricentis TOSCA for SAP test automation • Strong knowledge of SAP business processes and modules • Experience in automation testing (SAP GUI, Fiori, Web applications) • Understanding of test lifecycle management and defect management • Strong analytical, debugging, and problem solving skills • Excellent verbal and written communication skills Roles & Responsibilities We are looking for a skilled SAP TOSCA Developer with strong experience in SAP test automation to design, develop, and maintain automated test solutions for complex SAP landscapes. The role involves working closely with SAP functional, technical, and business teams to ensure high quality, scalable, and reusable automation frameworks using Tricentis TOSCA. SAP Test Automation Development Design, develop, and execute automated test cases using Tricentis TOSCA for SAP applications Build reusable, maintainable automation components using TOSCA Modules, TestCases, and Business Parameterization Automate testing for SAP ECC and S/4HANA systems across modules such as FI, CO, MM, SD, PP, and Master Data Modularize tests and modules for reusability and scalability by effectively creating RTBs and robust module attributes Parameterize the scripts using data from Test Data Management (TDM), TCD, Config files Test Planning & Execution Analyze functional and technical requirements to define automation scope and coverage Create and execute regression, integration, and end to end test suites Manage test execution cycles, defect identification, tracking, and closure using SAP/ALM / Azure DevOps / QTest tools Formularize the automation scripts to be executed in different environments Framework & Tool Management Maintain and enhance TOSCA automation frameworks for performance, scalability, and reuse Integrate TOSCA with CI/CD pipelines and test management tools Support automation strategy, standards, and best practices across SAP projects Collaboration & Support • Work closely with SAP Functional Consultants, Developers, and Business users • Participate in defect triage meetings and provide root cause analysis • Support UAT, mock cycles, cutover, and go live testing phases • Review Automation Scripts from other QAs and provide feedback and best practices Generic Managerial Skills, If any • Excellent communication, presentation, and stakeholder management skills. • Leadership experience with onsite/offshore teams. • Strong problem solving, analytical, and decision-making abilities.
Role - Senior Product Manager Location - Minneapolis MN (onsite) Job type- W2 Contract Job description Below Must have- Data migration, Data acquisition , Liaison between business and technical team 10+ years of experience in Product Management, preferably in data-intensive or enterprise environments. Hands-on experience with data migration and data acquisition/integration projects. Strong understanding of data management concepts, ETL processes, APIs, data mapping, and data validation. Proven ability to work effectively with both business stakeholders and technical teams. Excellent communication, presentation, negotiation, and stakeholder management skills. Experience working in Agile/Scrum environments. Preferred Qualifications Experience with cloud data platforms such as AWS, Azure, or Google Cloud. Knowledge of data governance, master data management (MDM), and analytics platforms. Experience with enterprise systems such as SAP, Oracle, Salesforce, or similar platforms. Product management certification (CSPO, SAFe, Pragmatic, etc.) is a plus.
08/03/2026
Full time
Role - Senior Product Manager Location - Minneapolis MN (onsite) Job type- W2 Contract Job description Below Must have- Data migration, Data acquisition , Liaison between business and technical team 10+ years of experience in Product Management, preferably in data-intensive or enterprise environments. Hands-on experience with data migration and data acquisition/integration projects. Strong understanding of data management concepts, ETL processes, APIs, data mapping, and data validation. Proven ability to work effectively with both business stakeholders and technical teams. Excellent communication, presentation, negotiation, and stakeholder management skills. Experience working in Agile/Scrum environments. Preferred Qualifications Experience with cloud data platforms such as AWS, Azure, or Google Cloud. Knowledge of data governance, master data management (MDM), and analytics platforms. Experience with enterprise systems such as SAP, Oracle, Salesforce, or similar platforms. Product management certification (CSPO, SAFe, Pragmatic, etc.) is a plus.