Manager, Data Engineering (Analytics)

Brother International Corporation; Bridgewater Township (NJ); On-site; USD 130,000 - 160,000; Full time

Benefits offered by this job

Health, vision, and dental insurance

401(k) retirement savings plan with company match

Educational assistance program

Job summary

Brother International Corporation in Bridgewater Township, NJ, is seeking a Manager, Data Engineering to lead the development of data infrastructure and oversee data analytics processes. This role requires collaboration with multiple stakeholders to ensure data-driven decision-making and improving the team’s capabilities. The ideal candidate will have over 8 years of experience in data engineering and analytics, with strong skills in governance, platforms like Azure and AWS, and team leadership. This position includes a hybrid work model and competitive compensation.

Qualifications

• 8+ years of data engineering and analytics experience.
• 3+ years managing teams and complex data engineering projects.
• Strong understanding of data governance, security, and compliance best practices.

Responsibilities

• Oversee the design and implementation of scalable, high‑performing data pipelines.
• Implement data governance policies and ensure compliance.
• Foster a culture of innovation by automating inefficient processes.

Skills

Data governance

Data visualization tools

Strong analytical skills

Business acumen

Education

Bachelor’s degree in computer science, Data Engineering, IT, or related field

Master’s Degree or MBA

Tools

Azure

AWS

Snowflake

Alteryx

Databricks

Tableau

Power BI

Job description

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
• 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 solutions

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 the provided benefits portal.

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 [e-mail].