Manager, Data Engineering

Company Overview Brother is a leading provider of home and office equipment, sewing and crafting products, and industrial solutions. With a legacy spanning over 115 years, our brand is renowned for producing award-winning printers, sewing machines, P-touch labelers, and more. Brother International Corporation (BIC) was established in 1954, marking over 70 years of operations in the United States. Our Americas headquarters is located in Bridgewater, New Jersey.

BIC is a wholly owned subsidiary of Brother Industries Limited (BIL), which was founded in 1908 in Nagoya, Japan, and operates in more than 30 countries worldwide. Brother's Americas presence includes subsidiaries in Canada, Mexico, Brazil, Argentina, Chile, and Peru. Why Work at Brother? Brother has consistently been recognized as a best place to work, reflecting our commitment to fostering a workplace culture aligned with our core values of being inclusive, collaborative, customer-centric, and socially responsible.

We value work-life balance and flexibility, and as a result have introduced policies such as our hybrid office schedule, casual dress code, and flexible Fridays, which allow us to wrap up meetings for dedicated focus time or to start our weekends sooner, year-round.

Our commitment to employee growth and development is demonstrated through our offering of facilitated courses and certificate programs and our investment in resources that enable self-paced learning.

Role Overview The Manager, Data Engineering is responsible for leading the development and optimization of the organization's data infrastructure to enable advanced analytics and data-driven decision-making. This role oversees the design, integration, and governance of data pipelines and platforms, ensuring they are scalable, reliable, and aligned with business objectives. Collaborating with members of the Analytics & Insights (A&I) team, IT, and other stakeholders, this role ensures that data engineering practices drive measurable business outcomes.

By fostering a high-performing team and advancing organizational analytics capabilities, this role plays a key part in transforming data into actionable insights and contributes to the team's mission to transform the decision making culture at brother through data & science. The Manager, Data Engineering, will be responsible for establishing robust and secure data infrastructure, delivering high quality, accessible and reliable data for analytics and decision-making, and enhancing the performance of the data engineering team all while advancing the organizational maturity of the data engineering team and practices.

Duties & Responsibilities Data Engineering *

Lead the Development of Data

Infrastructure: Oversee the design and implementation of scalable, high-performing data pipelines and platforms, ensuring seamless integration of data from various sources
* Establish Governance Standards:
Implement data governance policies, ensuring compliance, security, and data quality standards are consistently met
* Drive Innovation in Analytics Enablement:
Partner with Data Scientists to design machine learning pipelines, enabling advanced analytics through optimized data preparation and feature engineering workflows
* Design and Oversee Data Integration Processes:
Direct the integration of data from diverse systems using industry-leading tools such as Databricks, Alteryx, and Azure, ensuring data harmonization for analytical use
* Optimize Data Performance:
Guide the optimization of data structures and workflows to enhance query performance, processing efficiency, and scalability
* Advance Organizational Capabilities:
Stay abreast of emerging technologies, evaluate their relevance, and guide their adoption to improve data engineering practices and analytics outcomes
* Champion Data Quality:
Oversee the implementation of robust data validation and monitoring processes to ensure the accuracy, consistency, and reliability of data assets
* Support Organizational Strategy:
Contribute to the design and implementation of analytics practices, data engineering frameworks, and management methodologies that support the organization's strategic objectives
* Establish Best Practices:
Guide the standardization and adoption of best practices in data engineering, analytics methodologies, project execution, and governance across the team and organization. Team Management and Operations *

• Team Leadership and Development:
  Build and manage a high performing team by providing mentorship, coaching, and development opportunities to enhance technical and professional skills. Foster a collaborative, growth-oriented environment and ensure the team has the necessary resources to excel
  * Performance Management:
  Set clear objectives, manage workloads, provide regular feedback, and conduct annual performance reviews. Address performance challenges in partnership with HR to build engagement and accountability
  * Competency Development:
  Support the development of technical and…