Manager, Data Engineering (Analytics)

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 Canada was established in 1960, marking over 65 years of operations. Brother Canada is headquartered in Dollard-des-Ormeaux, Quebec and is a wholly owned subsidiary of Brother International Corporation (BIC), based in the United States. BIC is in itself a subsidiary of Brother Industries Limited (BIL), which was founded in 1908 in Nagoya, Japan and operates in more than 30 countries worldwide. Why Work at Brother? At Brother Canada, we’re more than a team; we’re a community guided by our culture drivers of Accountability, Authenticity, Excellence, and Boldness. We foster collaboration, growth, and work-life balance through flexible hours, hybrid work options, wellness subsidies, learning and development, recognition programs, and employee discounts. With roots in Montreal since 1960, we embrace continuous improvement and a culture of “Challenging Spirit,” offering stability while delivering a superior customer experience. 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: Be responsible for 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 Standard Methodologies: Guide the standardization and adoption of standard processes 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: Supervise 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 current 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 effectively Additional Details for This Role Hybrid Work Setting – Enjoy the flexibility of a hybrid model, with three days working remotely and two days in the office each week, supporting work-life balance and meaningful in-person collaboration. Exceptions may apply according to business needs. #LI-Hybrid #joinbrothercanada Our Benefits We believe benefits should empower you to thrive at work and beyond. Our health and wellness benefits go beyond the basics, with medical, dental, vision, mental health support, financial advisors, and fitness programs to keep your mind and body in top shape. We’re big believers in recharging your batteries, with flexible vacation, personal days, summer hours, and a company-wide holiday shutdown so you can enjoy real downtime. Our retirement plan helps your savings grow faster with matching contributions and extra perks like a TFSA and mortgage benefits. And because growth fuels success, we invest in you with development programs, from LinkedIn Learning and Brother curated learnings to tuition reimbursement and personalized development plans. But it’s not all work, we love to celebrate! From BBQs to gala nights and our STAR recognition program, your wins get noticed and rewarded. At Brother Canada, we are truly At Your Side, supporting your success every step of the way. 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 Canada’s head office and distribution centre in Montreal’s West Island is at the heart of our operations, housing teams in Marketing, Sales, Customer Experience, HR, IT, Finance, Supply Chain, and more. Our sales office in Mississauga, Ontario, and distribution centre in Richmond, British Columbia, support our coast-to-coast operations. We collaborate across Canada and Brother Americas - always At Your Side. Equal Opportunity Employer (EOE) Statement At Brother Canada, we strive to provide an environment where everyone feels valued by respecting individual differences and welcoming diverse life and work styles. We are an equal opportunity employer and do not discriminate or make employment decisions on the basis of race, colour, religion, sex, disability, or any other protected characteristic.