Senior Manager, Enterprise Integration

Senior Manager, Enterprise Integration

Austin Community College employees are required to maintain a domicile in the State of Texas while working for the college and throughout the duration of employment.

Austin Community College is a public two‑year institution that serves a multicultural population of approximately 41,000 credit students each Fall and Spring semester. We embrace our identity as a community college, as reflected in our mission statement. We promote student success and community development by providing affordable access, through traditional and distance learning modes, to higher education and workforce training, including appropriate applied baccalaureate degrees, in our service area.

As a community college committed to our mission, we seek to recruit and retain a workforce that:

• Values intellectual curiosity and innovative teaching
• Is attracted by the college's mission to promote equitable access to educational opportunities
• Cares about student success and collaborates on strategies to facilitate success for populations including first generation college students, low‑income students, and students from underserved communities.
• Focused on student academic achievement and postgraduate outcomes
• Welcomes difference and models respectful interaction with others
• Engages with the community both within and outside of ACC

Senior Manager, Enterprise Integration

The Sr. Manager Enterprise Integration is responsible to build and manage enterprise data hub to share the data among multiple systems and identify silos and bring such data into the mainstream and create a strategy for such silo systems. The Manager should also have Data Architect knowledge and be able to lead the definition and roadmap for the college's BI Strategy that includes data warehousing, analytical reporting, operational reporting, ETL, data governance, and master data management.

• Supervises, trains, coaches, directs, coordinates, and disciplines personnel while adhering to organizational human resource policies and procedures as well as related employment laws.
• Recommends hire and termination personnel actions for positions supervised. Defines and designs the data warehousing solution and ETL/ELT processes.
• Works closely with the business to understand the data and provide meaningful analytics to users/customers.
• Manages Informatica IICS and data projects, performs strategic analysis of data best practices, design databases and data profiling.
• Supervises the ETL and Informatica Developers.
• Prioritizes and delegates requests received by the product owner and scrum manager.
• Communicates with the multiple teams for the data requirement.
• Analyzes data and develops data architecture.
• In coordination with Quality Control team, ensures accuracy of standards and procedural documentation related to data.
• Participates in the definition, implementation, and support of the overall integration strategy.
• Participates in the selection, design, and implementation of the data hub, the data warehouse, operational data layers, and ETL.
• Participates in meeting with customers, gathering requirements, and working with developers to provide solutions to end users.
• Provides technical leadership to other members of the Business Intelligence Team.
• Participates in BI product evaluations and business decisions to ensure fit and scale into the platform and the organization.
• Participates in an energetic team of experienced people in an agile environment.
• Creates high level and detailed design of current and future state of BI System.
• Creates architecture diagrams and models of Data, Data Warehouse, and Integration and mapping documents with high level design.

• Familiar with data technology design, implementation, or consulting in one or more of the following areas:
• Enterprise Data Warehouse
• Business Intelligence Reporting & Analytics Tools
• Cloud Platforms
• Data Lake and Big Data
• Artificial Intelligence
• Familiar working with enterprise architecture or solution architecture frameworks, methodologies, templates, and tools.
• Extensive knowledge in good data modeling techniques.
• Competent…