What are the responsibilities and job description for the Data Team Lead position at ITMC Systems, Inc?
Supply Chain Data Lead
Location: Philadelphia PA
Duration: 10–12 months
Start: ASAP
Key Responsibilities
Data Architecture & Design
- Responsible in designing SupplyChain Anomaly Detection and Revenue Assurance platform for Order processing data platform.
- Define and own end-to-end supply chain data architecture, including source ingestion, transformation, storage, and consumption layers.
- Design data models for supply chain domains such as inventory, logistics, fulfillment, and supplier performance.
- Establish architecture standards, patterns, and design guidelines aligned with the enterprise data strategy.
Data Engineering & Platforms
- Architect and guide development of scalable data pipelines using,
- PySpark and Spark-based processing
- Python for transformation, orchestration, and data services
- Enterprise ETL/ELT frameworks
- Advanced SQL for data modeling and analytics
- Support both batch and near–real-time data processing use cases
- Optimize pipelines for data quality, performance, scalability, and cost.
Supply Chain Analytics Enablement
- Enable downstream usage for,
- Supply chain planning and forecasting
- Inventory optimization and demand analytics
- Vendor and procurement performance reporting
- Operational KPIs and executive dashboards
- SKU Management
- Partner with analytics and data science teams to ensure data is fit for advanced analytics platforms.
Cloud & Data Storage
- Design and oversee implementation of data solutions leveraging cloud-native data platforms.
- Ensure secure, compliant, and resilient data storage and access patterns
Data Governance & Quality
- Partner with governance and security teams to ensure,
- Data quality, consistency, and reliability
- Data lineage, metadata management, and documentation
- Compliance with data privacy, security, and internal policies
Leadership & Collaboration
- Collaborate with product owners, supply chain leaders, engineering teams, and vendors
- Translate business and operational needs into technical architecture solutions
- Mentor data engineers and architects on best practices and design principles
Qualifications
- Data Engineering: 10 years building data pipelines with Kafka/CDC, ETL tooling.
- Streaming Expertise: Hands‑on with stream processing using Spark Streaming, Kafka Streams etc..
- SQL & BI: Strong SQL/analytics skills and experience building dashboards
- Data Governance: Familiarity with lineage/audit tools (OpenLineage), data privacy, and regulatory controls.
- Communication: Strong cross‑functional collaboration and experience presenting to executives.
- Education: Bachelor’s degree in CS/Engineering, or equivalent practical experience.