Roles Responsibilities: Core Responsibilities: Responsible for synchronizing and coordinating with internal and external business team to fully onboard and maintain products at Lowe s. Responsible for thought leadership regarding minimum viable product attribution to optimize product information that enables consumer confidence in making a buying decision. Manages communication between Suppliers and Merchants as it pertains to product information and item lifecycle maintenance. Serves as a subject matter expert to support initiatives in growth of the online business, inclusive of process improvement and automation efforts. Executes all formal item lifecycle processes and identifies process improvement opportunities. Partners with the right teams for any issues needing resolution, with regards to vendor onboarding, item onboarding, Maintenance and Clean-up activities. Supports in the execution of efforts to put new processes in place to enhance Lowe s ability to maintain the library of items. Responsible for understanding the merchandising process related to item status changes as well as other actions taken against items related, inventory availability, and fulfillment. Partner with an offshore team to execute all activities related to Onboarding Maintenance Responsible for troubleshooting issues and is the single-threaded owner for resolution. Education Qualification Certifications (optional) Required Minimum Qualifications : Bachelors Degree/ Business Administration or related field Skill Set Required Effective Communication Problem solving Critical Thinking Attention to detail Resilient and Adaptable Learning Agility Hands on experience with MS Office Outlook Excel Word Power point Secondary Skills: Retail Merchandising/ Vendor Management / Supplier Relationship Management / Data Management Effective interpersonal communication skills; proven ability to communicate with technology and business partners Effective decision making and problem-solving skills

Roles Responsibilities Core Responsibilities Oversee and ensure accurate and timely execution of all payroll processes, including on-cycle and off-cycle payrolls, for multi-state US associates. Provide strategic direction on complex payroll calculations, time and attendance management, and payroll reconciliation. Drive operational excellence by identifying and implementing process automation and efficiency improvements. Ensure effective resource planning to support ongoing payroll operations, new transitions, and ad hoc projects. Collaborate with US-based payroll leadership vendors to resolve escalated payroll issues and drive continuous process enhancements. Develop, maintain, and oversee payroll process documentation, including Standard Operating Procedures (SOPs) and Work Instructions, ensuring alignment with best practices. Monitor and analyze payroll performance metrics, identifying trends and implementing improvements for increased accuracy and efficiency. Compliance Ensure strict adherence to US federal, state, and local payroll laws and regulations, including FLSA, tax compliance, wage garnishments, and reporting requirements. Maintain audit-ready payroll records, ensuring accuracy, confidentiality, and compliance with internal policies and external regulatory requirements. Partner with US teams to mitigate risks, address policy updates, and support audits or regulatory reviews. Conduct process reviews and data integrity checks to ensure payroll accuracy and compliance with service-level agreements (SLAs). Leadership Provide strategic leadership, ensuring high performance, accountability, and engagement. Develop and mentor team, fostering career growth, continuous learning, and process ownership. Lead efforts to ensure smooth transitions and stabilization of new payroll processes. Establish a culture of recognition, collaboration, and continuous improvement, driving team motivation and engagement. Act as a trusted payroll partner to global and cross-functional teams, ensuring seamless integration of payroll with other functions. Years of Experience 15+ years of global payroll experience required, with a strong focus on US payroll processing, time attendance management, statutory compliance, and labor laws. Experience working in a large global company within payroll operations at a leadership level, preferably as a senior manager or associate director. Education Qualification Certifications Required Minimum Qualifications Bachelor s Degree in Human Resources, Business Management, Commerce, Finance, Organization Development, or related field. Skill Set Required Primary Skills (must have) 10+ years of expertise in US payroll processes, with deep end-to-end payroll knowledge, including compliance, and multi-state payroll processing experience. Proven leadership experience in managing and developing high-performing payroll teams, fostering collaboration, and driving operational excellence. Strong stakeholder management skills, with experience working closely with onshore, offshore and nearshore teams. Extensive experience in optimizing and improving payroll processes, driving efficiency, accuracy, and quality service delivery. Hands-on experience with payroll systems such as Workday and ticketing platforms like ServiceNow. Secondary Skills (desired) Proven ability to lead, mentor, and develop payroll teams, fostering a culture of engagement and creating a great place to work. Experience successfully managing multiple priorities, projects, and process transitions, ensuring timely execution within budget and stakeholder expectations. Strong understanding of enabling technologies, including case management systems, employee/manager self-service tools, and their impact on enhancing payroll operations in a shared services environment.

Scales the platform for high performance and integrates new AI capabilities as application programming interfaces to ensure the platform remains adaptable and efficient in hosting a variety of ML models. Designs, develops, and implements tools and frameworks that support ML experimentation and deployment. Manages graphics processing unit (GPU) and central processing unit (CPU) resources to optimize the execution of AI models to ensure the platform runs efficiently, balancing performance with cost-effectiveness. Works closely with data scientists to integrate AI models smoothly into platform. Creates and manages efficient data movement and pipelines for the AI platform to operate smoothly. Optimizes data flows to support the demands of high-velocity AI model training and inference. Analyzes platform performance metrics and user feedback to drive continuous improvement initiatives. Utilizes insights to guide platform enhancements, ensuring the AI platform remains at the forefront of technological advancements and user satisfaction. Collaborates effectively with diverse teams, integrating technical expertise with business insights and user needs. Implements security protocols and governance measure for AI platform, ensuring data integrity and compliance with industry standards and best practices. Years of Experience: 3 to 5 Required Minimum Qualifications : Bachelors degree in science, technology, engineering, math, or related field (or equivalent work experience in lieu of degree) and 4 years of experience in ML platform engineering, data, and MLOps tools, and ML frameworks Preferred Qualifications: Masters Degree in science, technology, engineering, math, statistics, physics, economics, data science, information science, or quantitative analytics 3 years of experience working with GPU and CPU infrastructure, optimizing ML models for performance 3 years of programming language experience. Experience working with Continuous Integration/Continuous Deployment tools 3 years of experience working with continuous integration/continuous deployment tools 3 years of experience in defining technical requirements and performing high-level design for complex solutions 3 years of experience in SQL and NoSQL databases, Hadoop ecosystem, Druid, Trino, Big Query, Google Vertex AI Skill Set Required Python Primary language for AI/ML model development, especially for deep learning frameworks. Strong knowledge of multiprocessing and multithreading in Python or C++(Optional) for handling high-throughput systems. Docker, Kubernetes (for handling large-scale deployments). Knowledge of microservices architectures, message brokers like Kafka or RabbitMQ. Experience with serving models using TensorFlow Serving, Torch Serve, or Fast API. - Model deployment MLflow, Kubeflow, or DVC for managing the lifecycle of models. - model management Git , Jenkins, CI for continuous integration and deployment. Deep Learning Frameworks and Image processing: Pytorch, tensorflow, - Building and deploying computer vision models. OpenCV, scikit-image, or PIL for basic image processing. should aware of these framework and hands on experience Nvidia deep learning stacks and model serving frame works - good to have Should have work experience with real-time or offline video processing pipeline with Deep learning application development Optimization & Performance Tuning - Ability to improve AI model performance and reduce latency. Models Awareness : Computer Vision - Knowledge of CNNs, object detection, and image/video processing techniques. Must aware of object detection, classification and segmentation models ( Yolo, any open source model) Optimizing models for edge deployment using TensorRT, OpenVINO, or ONNX. Knowledge of tracking (SORT, DeepSORT) and semantic segmentation techniques. Awareness is enough Secondary Skills (desired) Good to have : Techniques for reducing inference time, including model pruning, quantization, and optimized inference with TensorRT or ONNX Runtime. Prometheus, Grafana, and ELK Stack for monitoring and logging AI/ML models in production. Experience with large-scale data management tools such as Hadoop, Spark, and distributed databases Other programming languages JS, UI backend services related knowledge.

Leads the development of the AI platform and ensures the scalability of the platform accommodates a wide spectrum of ML models and integration of new AI advancements as APIs. Leads the architectural design, development, and implementation of sophisticated tools and frameworks that elevate ML experimentation and deployment, ensuring that the platform delivers high-end AI functionalities. Architects and orchestrates the management of graphics processing unit and central processing unit resources to enhance the performance of AI models while maximizing cost efficiency and resource utilization. Mentors and guides junior team members to ensure a seamless integration of AI models into the platform. Leads the creation and management of robust data movement strategies and pipelines, optimizing data flows to meet the requirements of intensive AI model training and inference processes. Leads initiatives for continuous improvement by evaluating platform performance analytics and gathering user feedback. Leads cross-functional teams, fostering a collaborative environment that merges deep technical knowledge with strategic business insights and a keen understanding of user needs. Champions the development and enforcement of rigorous security protocols and governance measures for the AI platform, ensuring data integrity and adherence to industry standards and best practices. Required Qualifications: Bachelors degree in science, technology, engineering, math, or related field (or equivalent work experience in lieu of degree) and 6 years of experience executing and deploying data science, ML, and DL (fewer years may be accepted with a Masters or Doctorate degree), ML platform engineering, MLOps tools, and ML frameworks 6 years of programming experience in Java and/or Python 4 years of experience working with cross-functional partners Preferred Qualifications: Masters degree in science, technology, engineering, math, statistics, physics, economics, data science, information science, or quantitative analytics 5 years of experience in SQL and NoSQL databases, Hadoop ecosystem, Druid, Trino, Big Query, Google Vertex AI Skill Set Required Python Primary language for AI/ML model development, especially for deep learning frameworks. Strong knowledge of multiprocessing and multithreading in Python or C++ (Optional) for handling high-throughput systems. Docker, Kubernetes (for handling large-scale deployments). Knowledge of microservices architectures, message brokers like Kafka or RabbitMQ. Experience with serving models using TensorFlow Serving, Torch Serve, or Fast API. - Model deployment MLflow, Kubeflow, or DVC for managing the lifecycle of models. - model management Git, Jenkins, CI for continuous integration and deployment. Deep Learning Frameworks and Image processing: Pytorch, tensorflow, - Building and deploying computer vision models. OpenCV, scikit-image, or PIL for basic image processing. should aware of these framework and hands on experience Nvidia deep learning stacks and model serving frame works - good to have Should have work experience with real-time or offline video processing pipeline with Deep learning application development Optimization & Performance Tuning - Ability to improve AI model performance and reduce latency. Models Awareness : Computer Vision - Knowledge of CNNs, object detection, and image/video processing techniques. Must aware of object detection, classification and segmentation models ( Yolo, any open source model) Optimizing models for edge deployment using TensorRT, OpenVINO, or ONNX. Knowledge of tracking (SORT, DeepSORT) and semantic segmentation techniques. Awareness is enough Secondary Skills (desired) Good to have Techniques for reducing inference time, including model pruning, quantization, and optimized inference with TensorRT or ONNX Runtime. Prometheus, Grafana, and ELK Stack for monitoring and logging AI/ML models in production. Experience with large-scale data management tools such as Hadoop, Spark, and distributed databases Other programming languages JS, UI backend services related knowledge.

To build optimized solutions for the business problems utilizing Golang and Kubernetes echo system.. To be proactive and think out of the box on solution designs and discussions. To be agile to switch projects and technologies as required. Should support the team technically and operational way. To be highly disciplined in documenting and following the process framework. Primary Skills (must have) To build optimized solutions for the business problems utilizing Golang and Kubernetes echo system.. To be proactive and think out of the box on solution designs and discussions. To be agile to switch projects and technologies as required. Should support the team technically and operational way. To be highly disciplined in documenting and following the process framework. Good understanding of HTML, CSS and ReactJS Knowledge of Kubernetes and Docker. Knowledge of application capacity concepts, benchmarking, trending, and monitoring. Knowledge of using Git, Jenkins, and similar CI/CD tools. knowledge of application servers and web servers, networks, and load balancers. Required Qualifications: 5 years of experience in software development or a related field 4 years of experience in any of following competencies: frontend technologies (user interface/user experience), middleware (microservices and application programming interfaces), database technologies, or DevOps 4 years of experience working on project(s) involving the implementation of solutions applying development life cycles (SDLC) through iterative agile development Bachelors degree in computer science, computer information systems (CIS), or related field (or equivalent work experience in lieu of degree) Preferred Qualifications: 4 years of experience writing technical documentation in a software environment, developing and implementing business systems within an organization, and working with source code control systems 4 years of experience working with an IT Infrastructure Library (ITIL) framework, defect or incident tracking software, web services, and application and integration middleware 4 years of experience in systems analysis, including defining technical requirements and performing high level design for complex solutions 4 years of experience working with three or more of the following: Continuous integration/continuous deployment tools, frontend technologies, middleware, database technologies, and/or DevOps Masters degree in computer science, CIS, or related field

Leads the implementation and maintenance of assigned information security solutions to ensure successful deployment and operation; develops and documents detailed standards (e.g., guidelines, processes, procedures) Assists the Information Security team in monitoring security systems, reviewing logs, and managing information security systems Conducts regular security vulnerability assessments and provides exception reporting and remediation plans to leadership Designs and performs internal and external penetration validation testing to ensure that computer systems are up to date relative to all operating systems, patches, and virus protection software Collaborates with other technology teams including Engineering to design and implement remediation solutions Identifies, reports, and provides assistance during information security incidents as part of an Incident Response Team; reviews and responds to security alerts to investigate malicious activity Supports evaluation of new security technologies that address both current and future needs based on emerging threats and industry trends Keeps up to date with exploits relevant to the retail sales environment Solves complex architecture/design and business problems; solutions are extensible; works to simplify, optimize, remove bottlenecks, etc. Provides mentoring and guidance to more junior level engineers; may provide feedback and direction on specific engineering tasks Responds to escalated security issues for enterprise systems; facilitates advanced diagnosis and troubleshooting when necessary Participates in the implementation of hardware and software changes into environments to ensure security requirements are met Provides input into security breach response procedures; helps lead security breach response activities Leads break/fix activities, escalating problems to senior management and/or vendors as appropriate Analyzes the output of industry standard cybersecurity tools and identifies remediations to reduce risk and exposure of applications Completes custom enhancements of applications using secure coding techniques to reduce the threat of remote or local vulnerabilities Evaluates entire applications (Container, Infrastructure, host platform) to identify potential threats and vulnerabilities Required Qualifications Bachelors Degree in Computer Science, CIS, Engineering, Cybersecurity, or related field (or equivalent work experience in a related field) 5 Years in experience in technology system support, software development or a related field 2 Years in experience with information security applications and systems Preferred Qualifications 4 Years experience working on project(s) involving the implementation of solutions applying development life cycles (SDLC) 1 Year DevOps experience 3 Years of experience evaluating entire applications (Container, Infrastructure, host platform) to identify potential threats and vulnerabilities 3 Years of experience in the custom enhancement or development of applications using secure coding techniques to reduce the threat of remote or local vulnerabilities Advanced understanding of information security practices and policies 5 Years IT experience developing and implementing business systems within an organization 5 Years of experience working with defect or incident tracking software 5 Years of experience writing technical documentation in a software development environment 3 Years of experience working with an IT Infrastructure Library (ITIL) framework 3 Years of experience leading teams, with or without direct reports 5 Years experience working with source code control systems Experience working with Continuous Integration/ Continuous Deployment tools 5 Years of experience in systems analysis, including defining technical requirements and performing high level design for complex solutions Experience with Cloud technologies Years of Experience: 5-7 years of experience in software development or a related field 4 years of experience in database technologies 4 years of experience working on project(s) involving the implementation of solutions applying development life cycles (SDLC) 5 years of IT experience developing and implementing business systems within an organization 5 years of experience working with defect or incident tracking software. 5 years of experience writing technical documentation in a software development environment. 5 years of experience working with an IT Infrastructure Library (ITIL) framework 3 years of experience leading teams, with or without direct reports. 5 years of experience working with source code control systems 6 years of experience in systems analysis, including defining technical requirements and performing high level design for complex solution 2+ experience in leading/driving a team to deliver the stories/features in time as committed, assign tasks to team, reviewing the code, enforce coding best practices, maintaining repositories, managing the development cycles, etc.., Experience working with Continuous Integration/ Continuous Deployment tools. Education Qualification Certifications Required Minimum Qualifications Bachelors Degree in Computer Science, CIS, Engineering, Cybersecurity, or related field (or equivalent work experience in a related field) Relevant information security certifications (e.g., CISSP, CISM, CEH, PCI ISA, CRISC, CISA, OSCP, GPen) Skill Set Required Primary Skills (must have) 5+ years of experience in SailPoint IdentityIQ development and implementation. Strong understanding of Identity and Access Management (IAM) concepts and methodologies. Hands-on experience with SailPoint IdentityIQ platform, including: a. Role-Based Access Control (RBAC) b. Identity lifecycle management c. Designing workflows d. Access certifications Experience in integrating SailPoint with various IAM systems such as LDAP, Active Directory, databases, Authoritative sources (Workday) and other third-party applications. Proficiency in Java, XML, Beanshell , and SQL. Experience with application servers (Apache Tomcat) . Knowledge of SSL certificate creation/deployment/renewal . Lead discussion in developing and customizing connectors, workflows and policies to meet business requirements Experience with SailPoint API development and customization. Strong knowledge of IT security standards, regulatory requirements, and compliance (such as SOX, GDPR, etc.). Ability to troubleshoot and resolve issues effectively. Secondary Skills (desired) Knowledge of other IAM tools like Okta, Ping, or ForgeRock. Experience in cloud-based IAM solutions such as SailPoint IdentityNow. Familiarity with DevOps and automation tools (e.g., Jenkins, Ansible). Agile project experience