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The Sr. Manager for IT Agile Portfolio Management is responsible for overseeing and executing a diverse portfolio of projects, ensuring alignment with strategic business objectives. This role involves collaboration with engineering teams, risk management, and financial accountability for a portfolio valued between $40M and $60M, as well as leading a team of project and program managers.

The Data Architect will lead the design and implementation of business data products, collaborate with various teams for data architecture and design, ensure compliance with data standards, and empower teams to enhance data quality and automation. The role also includes coaching and mentoring engineers while staying current with industry trends.

The Master Data Engineering Manager will oversee the full lifecycle of MDM implementations, collaborating with data architects to ensure optimal data models, and implementing data quality policies with a focus on team development and best practices in data management.

The Senior Software Engineer - Master Data Management will design, develop, and implement software solutions, enhance existing capabilities, and collaborate with teams to meet business requirements. Responsibilities include coding, managing projects, conducting code reviews, testing, and improving technical processes.

The Master Data Engineering Manager will be responsible for the full lifecycle development, implementation, and production support of the enterprise MDM hub and support data integrations with other applications/systems. They will collaborate with different IT teams to influence solution architecture and data flow design.

The Master Data Engineering Manager will be responsible for the development, implementation, and production support of the enterprise MDM hub, data integrations, and guiding a team in accelerating the maturity of MDM solutions. This role involves collaborating with different IT teams, influencing solution architecture, and data flow design.

The Data Architect will embed themselves in Data Product teams and support all aspects of data ingestion, data engineering, design, data modeling, data as a service, and machine learning. Responsibilities include leading data analysis and implementation, designing data models, ensuring data quality and security, collaborating with teams, and staying updated on data-centric technologies.