Senior Director of Enterprise Data Solutions
The Senior Director of Enterprise Data Solutions provides strategic leadership for the institutional data ecosystem. This role guides the design, governance, and evolution of the enterprise data platforms, information practices, and data-driven capabilities. The Senior Director leads a team responsible for enabling consistent, high-quality, and secure data across the university.
Through collaboration, governance, and modern data practices, the Senior Director strengthens the University’s ability to leverage data as a strategic asset by:
- Advancing a unified, enterprise-wide data solutions strategy aligned with institutional priorities.
- Ensuring the reliability, scalability, and sustainability of its core data platforms and ecosystems.
- Promoting data literacy across the university, equipping stakeholders with the knowledge and confidence to access, interpret, and apply data effectively.
- Ensuring compliance with institutional policies and external data privacy, security, and governance requirements.
- Building strong, trust-based relationships with leaders and stakeholders to break down silos and enhance the accessibility, interoperability, and strategic use of data.
Job Responsibilities:
- Lead the vision, strategic direction, and execution of enterprise data solutions, ensuring its data systems and practices support current needs and position the university for long-term innovation.
- Provide leadership and oversight for the university’s data engineering, data integration, and database administration functions, ensuring secure, efficient, and scalable operations while developing a high-performing technical team.
- Guide the evolution and maintenance of enterprise data platforms, including data pipelines, modeling practices, information lifecycle management, metadata, and data-sharing structures that support analytical, operational, and compliance needs.
- Foster strong partnerships across the university to understand data needs and collaboratively deliver effective, sustainable solutions.
- Establish and champion governance frameworks that promote data quality, consistency, lineage, security, and responsible use.
- Develop and advance a university wide data literacy program that empowers faculty and staff to access, interpret, and apply data effectively.
- Provide guidance, tools, and training that elevate the institution’s collective ability to use data confidently and make informed decisions.
- Assess emerging technologies, trends, and methodologies, and recommend solutions that strengthen its data capabilities and information strategy.
- Manage budgets, vendor relationships, contracts, and service-level expectations to ensure efficient operations and high-value performance.
- Provide executive-level reporting, strategic insights, and clear communication regarding data posture, risks, opportunities, and system readiness.
Typical Competencies:
- Deep knowledge of enterprise data ecosystems, including data platforms, data management principles, engineering practices, integration technologies, and database administration.
- Strong understanding of data governance frameworks and regulatory requirements related to privacy, security, and institutional compliance.
- Demonstrated leadership experience building and managing high-performing teams in complex organizations.
- Strategic, systems-oriented thinker with the ability to translate institutional needs into effective, scalable data solutions.
- Exceptional communication skills and the ability to convey complex or technical information to diverse audiences.
- Proven ability to build strong partnerships, negotiate priorities, and collaborate across varied stakeholder groups.
- Experience designing or supporting data literacy, training, or enablement programs within an organization.
- Experience with cloud ecosystems (e.g., Azure) and modern data technologies such as Databricks, Power BI, and metadata/governance tools.
Level of Independence:
Operates with substantial autonomy and broad institutional direction; accountable for shaping its enterprise data environment and driving outcomes that strengthen the university’s operational and strategic capabilities.
Job Requirements:
- 10+ years of experience in enterprise data environments, data management, or information systems, with at least 5 years in a leadership role.
Education:
Preferred: Master’s degree in Data Science, Computer Science, Information Systems, or related field.