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Summary:
The Data Integration Manager leads the design, delivery, and ongoing improvement of data integration services across the organization. This role ensures data moves securely, accurately, and efficiently between platforms, applications, and business systems. The manager works closely with technology and business teams to align integration solutions with organizational needs and data governance standards.

Job Responsibility:
- Develop and manage the data integration strategy, roadmap, and service standards.
- Lead the design, implementation, and maintenance of integrations, APIs, data pipelines, and middleware solutions.
- Oversee integration services across cloud and on-premises environments.
- Ensure data quality, consistency, security, privacy, and compliance throughout integration processes.
- Monitor service performance, resolve complex integration issues, and drive root-cause analysis.
- Establish best practices for integration architecture, documentation, testing, deployment, and change management.
- Manage vendor relationships, budgets, resources, and delivery timelines for integration initiatives.
- Collaborate with enterprise architecture, data, security, application, and business teams to define requirements and solutions.
- Lead, coach, and develop integration team members.
- Identify opportunities to modernize integration platforms and improve automation, reliability, and scalability.

Candidate Requirements:
- Bachelor’s degree in Computer Science, Information Technology, Data Engineering, or a related field; advanced degree is an advantage.
- Proven experience managing data integration, application integration, or integration services teams.
- Strong knowledge of APIs, ETL/ELT, data pipelines, middleware, and integration patterns.
- Experience with cloud platforms and integration technologies such as Azure Integration Oracle OIS, or Informatica.
- Understanding of databases, data formats, messaging systems, and data governance practices.
- Experience managing service performance, incident response, and technology projects.
- Strong leadership, communication, stakeholder-management, and problem-solving skills.
- Ability to manage multiple priorities and translate business requirements into reliable technical solutions.

Data integration strategy and architecture
- Integration services management
- ETL/ELT design and implementation
- API and web services integration
- Data pipelines and workflow orchestration
- Cloud and on-premises integration platforms
- Data modeling and mapping
- Data quality, validation, and governance
- Master data management
- Database technologies and SQL
- Integration security and access controls
- Performance monitoring and optimization
- Troubleshooting and incident management
- Project and vendor management
- Stakeholder communication and team leadership