Associate Director, Enterprise Data Platforms

Kennesaw State University•Kennesaw, GA

42d

About The Position

Are you ready to transform lives through academic excellence, innovative research, strong community partnerships and economic opportunity? Kennesaw State University is one of the 50 largest public institutions in the country. With growing enrollment and global reach, we continue to expand our institutional influence and prominence beyond the state of Georgia. We offer more than 190 undergraduate, graduate, and doctoral degrees to empower our 47,000 students to become thought leaders, lifelong learners, and informed global citizens. Our entrepreneurial spirit, high-impact research, and Division I athletics draw students from throughout the region and from more than 100 countries across the globe. Our university's vibrant culture, career opportunities, rich benefits, and values of respect, integrity, collaboration, inclusivity, and accountability make us an employer of choice. We are part of the University System of Georgia. We are searching for talented people to join Kennesaw State University in our vision. Come Take Flight at KSU! Provides leadership for the university's enterprise data infrastructure and integration services while maintaining active involvement in technical work, including but not limited to cloud-based unified data platforms, legacy data warehousing systems, and enterprise data ingestion operations. Ensures platforms and services are reliable, secure, and optimized for performance, while delivering the infrastructure that enables institutional reporting, analytics, and compliance needs. Ensures that managerial responsibility blends with technical expertise to provide scalable and cost-effective solutions.

Requirements

Bachelor's degree from an accredited institution of higher education.
Seven (7) years of related IT experience.

Nice To Haves

An advanced degree from an accredited institution of higher education in a related field
Previous experience with Microsoft Fabric or Microsoft Synapse Analytics, including platform administration and data pipeline development
Experience working in higher education IT environments
Hands-on experience building automation solutions with tools such as Power Automate, Power Apps, and Decisions (BPA)
Hands-on experience designing and building system integration
Experience designing and building integration services using iPaaS platforms such as Boomi or MuleSoft

Responsibilities

Provides strategic and operational leadership for enterprise data infrastructure services, balancing technical execution with managerial responsibility for staff and service delivery
Administers and optimizes unified data platforms such as Microsoft Fabric, including capacity management, performance monitoring and optimization, technical governance, and access management
Builds and operates standardized data ingestion pipelines with metadata capture, schema enforcement, error handling, and secure storage, ensuring all source data is ingested once and made consistently available for downstream processing
As applicable, designs and maintains reusable data preparation processes (e.g., standardization, simple deduplication, schema checks, optimization) that are performed once centrally to ensure consistent, high-quality inputs for downstream processes
Manages legacy data platforms such as SAS (SAS 9, SAS Grid, Viya) and/or Tableau, ensuring reliability, security, and performance
Provides infrastructure and operational support for legacy ETL processes, as well as system-wide data processes, such as the ADC (USG Academic Data Collection)
Ensures data infrastructure services comply with institutional governance, privacy, and security policies, and applicable regulations such as FERPA, HIPAA, and PCI
Monitors performance and implement proactive measures for scalability, efficiency, and reliability
Collaborates with university stakeholders to align data infrastructure strategy is aligned with reporting, analytics, and compliance needs
Develops and supervises staff through mentoring, professional growth opportunities, training, performance management, and knowledge sharing
Evaluates emerging technologies and recommend adoption of tools that advance data, analytics, and integration capabilities
Fosters a culture of curiosity and innovation, continuous process improvement, ownership and accountability, building repeatable solutions, learning, and data-informed decision making