Manager Data Management

Manager, Data Management & Intelligent Operations

Role at iTrade

Network, Inc.

$/yr - $/yr

• Annual Bonus

At iTrade

Network, we provide advanced supply chain software and insights tailored to the food & beverage industry. Our mission is clear and ambitious:
To feed the world. From the start, we’ve been dedicated to tackling the most pressing challenges within food and beverage supply chains, delivering innovative solutions and expert support that make a measurable impact.

Our cutting‑edge technology helps businesses streamline complex procurement and fulfillment processes, minimize food waste, optimize inventory, manage compliance risk, and scale profitably. We’re proud to serve an elite customer base, including 13 of the top 25 North American grocers, 8 of the top 10 food service distributors, and 8 of the top 10 global food and beverage manufacturers.

iTrade

Network 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.

• Oversee daily operations of the Data Management team responsible for data mapping and file monitoring across all customer data feeds.
• Ensure consistent, accurate mapping of distributor and supplier data to iTrade
  
  Network’s internal and customer product catalogs.
• Manage proactive monitoring of inbound file feeds – identifying, diagnosing, and resolving missing files, processing failures, or incomplete data.
• Develop and track key operational metrics (e.g., mapping accuracy, data processing SLAs, incident recovery time, and customer satisfaction).
• Reimagine and reengineer manual workflows using automation, LLMs, and AI‑driven agents to drastically reduce human oversight.
• Design, test, and deploy intelligent data pipelines that use machine learning for pattern recognition, anomaly detection, and auto‑mapping.
• Partner with Product, Engineering, and Data Science teams to operationalize proof‑of‑concepts into scalable solutions.
• Create frameworks for AI governance, quality assurance, and continuous learning in data‑driven operations.
• Champion the use of agentic AI to automate monitoring, alerting, and resolution of file‑level or mapping exceptions.

• Manage a global team of Data Analysts (onshore and offshore), fostering a culture of accountability, collaboration, and innovation.
• Provide mentorship and skill development, especially in areas such as automation tooling, AI literacy, and data quality.
• Ensure clear communication channels and alignment between Data Management, Integration Engineering, Project Management, and Customer Support teams.

• 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.
• Operations Org Design
• 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.
• Contribute to building a unified operational platform with shared dashboards, metrics, and AI‑driven insights for proactive decision‑making.

• Serve as a change agent for intelligent operations – evaluating new technologies and partnerships that can accelerate automation and reduce manual dependency.
• Develop and communicate a multi‑phase automation roadmap aligned with organizational goals for scale and efficiency.
• Partner with leadership to define and track success metrics that demonstrate tangible ROI from automation investments.
• Ensure that the Data Management function remains a critical enabler of customer success, ensuring…