Senior Manager, Data Engineering

Stanley Black & Decker, Inc. is a leading global company known for its diverse and high-performing professionals. They are seeking a Senior Manager of Data Engineering to lead a team of data engineers, design data architectures, and align data strategies with manufacturing and supply chain objectives.

Responsibilities:

• Lead, mentor, and develop a team of data engineers, fostering a culture of innovation, accountability, and continuous improvement
• Execute the data engineering strategy in alignment with manufacturing and supply chain objectives
• Design and implement scalable, secure, and resilient data architectures across cloud (Azure, AWS) and hybrid environments
• Manage data acquisition and ingestion processes, including integration with PLCs, historians, SCADA, IoT, and manufacturing systems
• Support and enforce data governance, standards, and best practices for data quality, lifecycle management, and compliance
• Collaborate with IT, operations, quality, and supply chain teams to translate business requirements into actionable data solutions
• Develop and maintain real-time and batch data pipelines using technologies such as Snowflake, PowerBI, Power Automate, MQTT, Inductive Automation, Tulip, and SAP
• Provide insights into manufacturing KPIs and other critical metrics, ensuring data is contextualized and accessible for stakeholders
• Drive continuous improvement in data engineering processes, tools, and team capabilities
• Promote an action-oriented, inclusive, and collaborative team culture
• Ensure solutions comply with organizational standards and strategic direction
• Facilitate the sharing of ideas and best practices across the team using existing and emerging technologies
• Provide regular updates and ongoing support to management and key stakeholders
• Uphold high standards of work quality and contribute to the success of the team

Requirements:

• Bachelor's degree from an accredited institution in Computer Science, Data Engineering, Information Systems, Industrial Engineering, or a related field
• Minimum 7 years of professional experience in data engineering
• At least 2 years in a leadership role managing data engineering teams
• Experience with shop floor data sources (PLCs, historians, SCADA, IoT)
• Experience with cloud data platforms (Snowflake, Azure, AWS), data integration, and visualization tools (PowerBI)
• Knowledge of data governance, data architecture, and best practices for data quality and security
• Experience in the manufacturing industry preferred