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 analytical skills within the team, identifying areas for growth and ensuring continuous learning opportunities

Coaching and Mentoring:

Provide regular coaching to team members to guide their professional development and improve their expertise in data engineering and analytics methodologies

Manage Operations:

Oversee daily team operations, ensuring projects are completed on time and aligned with organizational goals and priorities

Communication:

Ensure effective communication within the team and with other departments, sharing relevant project updates, challenges, and outcomes to maintain alignment

Team Branding:

Advocate for and communicate the team's achievements to highlight their value in driving business outcomes and position them as trusted business partners and subject matter experts

Stakeholder Engagement and Continuous Improvement Drive Continuous Improvement:

Foster a culture of innovation by identifying and automating inefficient processes, optimizing workflows, and applying analytics to improve operations

Stakeholder Engagement:

Act as a liaison between the team, Analytics & Insights, IT, and business stakeholders to align technical efforts with organizational priorities and drive data-driven transformation goals

Collaboration:

Partner with data scientists, analysts, and business stakeholders to understand data needs and deliver tailored solution Experience & Qualifications Education Bachelor's degree in computer science, Data Engineering, IT, or related field Master's Degree or MBA - Preferred Experience 8+ years of data engineering and analytics experience 3+ years managing teams and complex data engineering projects Software/Technical Skills Experience with Modern data platforms (e.g., Azure, AWS, Snowflake) and ETL/ELT tools (e.g., Alteryx, Databricks) Strong understanding of data governance, security, and compliance best practices Experience with designing data models, warehouses, and pipelines to support advanced analytics Experience with visualization tools (Tableau, Power BI) Familiarity with machine learning frameworks and concepts - Preferred Other Skills/Knowledge/Abilities Strong business acumen and ability to align technical efforts with strategic goals Demonstrated ability to manage technical teams, foster collaboration, and deliver results in a dynamic environment Ability to communicate technical content and analytical insights/complex findings in a clear and concise manner to multiple audiences, including senior management Ability to multi-task and manage simultaneous projects Strong analytical and problem-solving skills, with a focus on delivering actionable solutions Excellent communication and interpersonal skills to collaborate with diverse teams and stakeholders effectively Additional Details for This Role This role will be a hybrid role. Subject to business needs, employees may work remotely up to two days per week. Assigned office days will be determined by your manager. #LI-Hybrid Base Salary The targeted base salary range for this position is $130,000 - $160,000 per year. Base salary is determined by the education, experience, knowledge, skills, and abilities of the successful candidate, as well as factors such as internal equity, cost of labor in the hiring location, and alignment with market data. Additional Compensation This position is eligible for a 15 % bonus at 100% of target, with the opportunity to achieve above 100% dependent on company performance and in alignment with company bonus plans. Bonus awards are discretionary and contingent upon individual performance as well as Brother achieving its corporate objectives, in accordance with the applicable bonus plan in effect. Our Benefits We offer a comprehensive benefits package with diverse plan options to meet your family's needs, including health, vision, and dental insurance—all effective from day one of employment. Under our 401(k) retirement savings plan, we match up to 100% of the first 4% of employee contributions, with employer matches vesting immediately. Additionally, we offer an educational assistance program that reimburses up to 100% of tuition, lab fees, textbooks, and other related expenses for qualifying programs.

Details are available at https:

//mybenefits.nfp.com/Brother/2026/guidebook/ Our Mission, Vision & Culture Our mission is to live our "at your side" promise to simplify and enrich the lives of our customers, employees, and communities. We aim to be where people and technology meet, providing products and solutions that enhance how people live, work, and create. We look to our strategic culture drivers - accountability, authenticity, boldness, and excellence - to enable us to consistently deliver on our vision, mission, and shared values. These drivers help us shape a culture that empowers the business to succeed. About Where We Work Brother's corporate headquarters for the Americas is in Bridgewater, NJ, across from the Bridgewater Commons Mall. This location houses key corporate functions, including HR, legal, finance, IT, and supply chain, and a significant presence of our business unit leadership and marketing teams. Our manufacturing and distribution facility in Bartlett, TN spans an impressive 1.5 million square feet - equivalent to 26 football fields - and is located on Brother Boulevard. In addition to the distribution center operations team, this facility hosts several other departments, including our customer service group. Brother also has employees based in other locations, such as Westminster, CO, where many of our marketing and product engineering team members from the mobile solutions division operate, as well as our distribution centers in Richmond, VA and Perris, CA. Additionally, our outside sales teams work remotely within their territories, staying geographically close to the accounts they support to ensure they are always "at your side" for our customers. Equal Opportunity Employer (EOE) Statement Brother International Corporation ("Brother") is an equal opportunity employer and makes employment decisions without regard to race, color, religion, sex, disability, or any other characteristic protected by applicable local, state or federal laws. Brother is committed to providing reasonable accommodations to individuals with disabilities throughout the application or interview process. If you need an accommodation, please contact us at eoe_applicant_accommodations@brother.com .

Qualifications:

Education Bachelor s degree in computer science, Data Engineering, IT, or related field Master s Degree or MBA - Preferred Experience 8+ years of data engineering and analytics experience 3+ years managing teams and complex data engineering projects Software/Technical Skills Experience with Modern data platforms (e.g., Azure, AWS, Snowflake) and ETL/ELT tools (e.g., Alteryx, Databricks) Strong understanding of data governance, security, and compliance best practices Experience with designing data models, warehouses, and pipelines to support advanced analytics Experience with visualization tools (Tableau, Power BI) Familiarity with machine learning frameworks and concepts - Preferred Other Skills/Knowledge/Abilities Strong business acumen and ability to align technical efforts with strategic goals Demonstrated ability to manage technical teams, foster collaboration, and deliver results in a dynamic environment Ability to communicate technical content and analytical insights/complex findings in a clear and concise manner to multiple audiences, including senior management Ability to multi-task and manage simultaneous projects Strong analytical and problem-solving skills, with a focus on delivering actionable solutions Excellent communication and interpersonal skills to collaborate with diverse teams and stakeholders effectively