Senior Manager, Data Integrations Lead

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 Senior Manager, Data Integrations Lead is responsible for leading the strategy, design, and delivery of enterprise‑scale data integrations across cloud, SaaS, and core business platforms. This role ensures the reliable, secure, and scalable movement of data across ERP, CRM, eCommerce, and modern data platforms to support critical business operations, analytics, and digital initiatives. The position partners closely with architecture, engineering, governance, and business stakeholders to deliver high‑quality, governed integration solutions while leading teams and driving adoption of modern integration patterns and best practices.

Duties & Responsibilities Data Integration Strategy & Architecture *

Define and own the enterprise data integration strategy, standards, and reference architectures
* Design scalable integration patterns (batch, near real time, event driven, streaming)
* Establish integration best practices across ERP, CRM, eCommerce, and data platforms
* Partner with Enterprise Architecture to ensure alignment with platform, cloud, and application strategies Integration Delivery & Execution *

• Lead end‑to‑end delivery of complex data ingestion and integration pipelines
  * Oversee development, orchestration, and support of integrations across multiple source and target systems
  * Ensure reliability, scalability, performance, and operational stability of integrations
  * Drive adoption of reusable integration frameworks, APIs, and automation Platform & Technology Leadership *
• Lead integrations across multiple platforms including: SAP S/4
  
  HANA (SAP Datasphere, SAP Integration Suite), Salesforce (Commerce Cloud, Sales/Service Cloud, Data Cloud, Marketing Cloud), Azure Integration Services (Logic Apps, Data Factory, API Management, Event‑driven services), Databricks and modern lake house architectures, Cloud Storage (Azure Blob, SFTP), and Analytics & BI tools (Tableau, Power BI)
  * Pattern Selection:
  Decide when to use ETL vs. ELT, or moving the organization toward Event-Driven Architecture (streaming)
  * Observability:
  Lead the implementation of Data Contracts and automated monitoring to catch "breaking changes" from upstream source systems before they hit the warehouse
  * CI/CD for Data:
  Establish the automation for testing and deploying integration code to minimize downtime
  * Lineage & Metadata:
  Ensure every integration has clear lineage mapping, allowing the business to trace any data point back to its original source
  * Security by Design:
  Lead the implementation of masking, hashing, and encryption of PII (Personally Identifiable Information) as it flows through the pipelines Collaboration, Leadership, Stakeholder & Vendor Management *
• Lead and…