<p>JOB SUMMARY</p> <p>iTradeNetwork is redefining operational excellence through intelligent automation, data-driven decision-making, and a customer journey-aligned delivery model. As we evolve our Operations organization, we are seeking a forward-thinking Manager, Data Management & Intelligent Operations to lead our Data Management team - responsible for ensuring the integrity, availability, and scalability of critical data that powers our platform and customer experience.</p> <p>This role bridges traditional data operations with emerging AI and automation technologies. The ideal candidate will oversee current operational workflows such as product data mapping and file monitoring, while driving the evolution toward a smarter, more autonomous ecosystem using Large Language Models (LLMs), agentic AI systems, and advanced data automation techniques.</p> <p>Key Responsibilities:</p> <p>Lead and Optimize Data Management Operations</p> <ul> <li>Oversee daily operations of the Data Management team responsible for data mapping and file monitoring across all customer data feeds. </li><li>Ensure consistent, accurate mapping of distributor and supplier data to iTradeNetwork's internal and customer product catalogs. </li><li>Manage proactive monitoring of inbound file feeds - identifying, diagnosing, and resolving missing files, processing failures, or incomplete data. </li><li>Develop and track key operational metrics (e.g., mapping accuracy, data processing SLAs, incident recovery time, and customer satisfaction). </li></ul> <p>Drive Intelligent Automation & AI Innovation</p> <ul> <li>Reimagine and reengineer manual workflows using automation, LLMs, and AI-driven agents to drastically reduce human oversight. </li><li>Design, test, and deploy intelligent data pipelines that use machine learning for pattern recognition, anomaly detection, and auto-mapping. </li><li>Partner with Product, Engineering, and Data Science teams to operationalize proof-of-concepts into scalable solutions. </li><li>Create frameworks for AI governance, quality assurance, and continuous learning in data-driven operations. </li><li>Champion the use of agentic AI to automate monitoring, alerting, and resolution of file-level or mapping exceptions. </li></ul> <p>Leadership & Team Development</p> <ul> <li>Manage a global team of Data Analysts (onshore and offshore), fostering a culture of accountability, collaboration, and innovation. </li><li>Provide mentorship and skill development, especially in areas such as automation tooling, AI literacy, and data quality. </li><li>Ensure clear communication channels and alignment between Data Management, Integration Engineering, Project Management, and Customer Support teams. </li></ul> <p>Enable Cross-Functional Operational Excellence</p> <ul> <li>Act as a technology and process connector across the Operations organization - ensuring Integration, Data, and Support teams operate cohesively within the Customer Journey-Aligned delivery model </li></ul> <p>Operations Org Design</p> <ul> <li>Collaborate with operational leaders to identify friction points across the Pre-Implementation, Implementation, and Post-Go-Live phases, proposing automated solutions to streamline handoffs and elevate customer outcomes. </li><li>Contribute to building a unified operational platform with shared dashboards, metrics, and AI-driven insights for proactive decision-making. </li></ul> <p>Strategic Impact & Continuous Improvement</p> <ul> <li>Serve as a change agent for intelligent operations - evaluating new technologies and partnerships that can accelerate automation and reduce manual dependency. </li><li>Develop and communicate a multi-phase automation roadmap aligned with organizational goals for scale and efficiency. </li></ul> <p>Partner with leadership to define and track success metrics that demonstrate tangible ROI from automation investments.</p> <ul> <li>Ensure that the Data Management function remains a critical enabler of customer success, ensuring data flows are reliable, transparent, and optimized for value delivery. </li></ul> <p>What you'll need:</p> <ul> <li>Bachelor's degree in Data Science, Computer Science, Operations Management, or related field (Master's preferred). </li><li>7+ years of experience in data operations, data management, or data engineering, with 3+ years leading teams. </li><li>Proven experience in process automation, workflow optimization, or applied AI/ML solutions. </li><li>Familiarity with LLMs, NLP, vector databases, or agent-based automation frameworks is strongly preferred. </li><li>Experience managing global/offshore teams. </li><li>Exceptional analytical, communication, and stakeholder management skills. </li><li>Strategic thinker who thrives in operational environments that demand innovation and precision. </li><li>Familiarity with supply chain data, B2B integrations, or transactional data (EDI/API/SFTP) is a plus. </li></ul> <p>If you are a highly motivated and results-driven individual, with a passion for driving growth in a fast-paced, entrepreneurial environment, we encourage you to apply for this exciting opportunity. We offer a competitive salary, comprehensive benefits package, and a dynamic work culture that values collaboration, innovation, and personal development.</p> <p>Base Salary: $149,000.00 - $171,000.00</p> <p>iTradeNetwork, Inc. provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, disability, genetic information, marital status, amnesty, or status as a covered veteran in accordance with applicable federal, state and local laws. We especially invite women, minorities, veterans, and individuals with disabilities to apply. EEO/AA/M/F/Vet/Disability</p>