<p><strong>Position Overview</strong></p><p>Seeking an experienced Project/Program Manager to lead compliance-focused initiatives supporting e-commerce requirements, delivery, and testing. This role is responsible for managing projects from initiation through completion, coordinating cross-functional teams, driving timelines, mitigating risks, and providing regular status updates to leadership. The ideal candidate is highly organized, proactive, and thrives in a fast-paced, regulated environment. </p><p><strong>Responsibilities</strong></p><ul><li>Manage the full lifecycle of multiple compliance-related projects and programs. </li><li>Develop project plans, establish timelines, assign responsibilities, and ensure successful execution. </li><li>Coordinate cross-functional stakeholders to deliver project milestones on schedule. </li><li>Monitor project progress, identify risks, and implement mitigation strategies. </li><li>Prepare project status reports, dashboards, and executive updates. </li><li>Drive issue resolution and maintain accountability across project teams. </li><li>Support compliance workstreams related to e-commerce requirements, delivery, and testing. </li><li>Lead multiple priorities simultaneously while maintaining strong attention to detail. </li></ul><p><br></p>
<p>Data Automation Engineer – AI / AWS / Azure</p><p>Work Arrangement: Remote</p><p>Clearance Requirement: Ability to obtain Public Trust</p><p><br></p><p>Position Overview</p><p>We are seeking a highly skilled Data Automation Engineer to design and implement advanced, AI-driven automation solutions across hybrid AWS and Azure environments. This role is focused on building scalable data pipelines, integrating modern cloud services, and leveraging Generative AI technologies to enhance enterprise analytics and operational workflows.</p><p>The ideal candidate is a hands-on engineer with strong expertise in data engineering, cloud platforms, and automation, combined with the ability to innovate and solve complex technical challenges. This role provides the opportunity to work on mission-critical systems, supporting large-scale data processing, reporting, and AI-enabled applications.</p><p><br></p><p>Key Responsibilities</p><p>Data Engineering & Pipeline Development</p><ul><li>Design, build, and maintain scalable data pipelines using AWS services (S3, Glue, Lambda, EMR, DynamoDB)</li><li>Develop and optimize ETL/ELT workflows across hybrid AWS and Azure environments</li><li>Integrate structured, unstructured, and streaming data across enterprise systems</li></ul><p>AI & Automation Engineering</p><ul><li>Leverage Generative AI frameworks (AWS Bedrock, Azure OpenAI, LangChain, Hugging Face) to build intelligent automation</li><li>Implement solutions for embeddings, vector generation, and RAG workflows</li><li>Develop AI-driven tools for data quality, anomaly detection, and pipeline optimization</li><li>Build AI-powered copilots for monitoring, troubleshooting, and workflow automation</li></ul><p>Data Platform Integration & Optimization</p><ul><li>Engineer real-time and batch ingestion pipelines using Spark, Kafka, and Flume</li><li>Integrate enterprise platforms and CRM data into data pipelines for analytics and reporting</li><li>Optimize SQL performance through stored procedures, indexing, and query tuning</li></ul><p>Cloud & DevOps Practices</p><ul><li>Implement CI/CD pipelines using tools such as GitHub, Jenkins, or Azure DevOps</li><li>Develop infrastructure solutions using Infrastructure-as-Code (IaC)</li><li>Ensure cloud security through IAM, RBAC, encryption, and network isolation</li></ul><p>Collaboration & Delivery</p><ul><li>Partner with cross-functional teams to gather requirements and deliver solutions</li><li>Support Agile delivery processes and continuous improvement initiatives</li><li>Provide technical troubleshooting and performance optimization across data systems</li></ul>