In A Nutshell
The Director will lead the development of a secure, scalable, cloud-based enterprise data lakehouse using medallion architecture and establish a unified data model for foundation-wide reporting and analytics. This leader will build governed data products, shared definitions, trusted metrics, and self-service analytics using Tableau, Power BI, or a comparable platform. The role will also lead the implementation of an enterprise MDM platform and create trusted 360-degree views across systems such as FLUXX, Salesforce, SAP, and other core applications.
Responsibilities
- Model and drive leadership, capacity building, accountability, care and concern, strategic thinking and business acumen within respective team(s) and across the foundation.
- Model organizational vision, strategy, values, purpose, and culture, both inside and outside the organization.
- Drive results through successful accomplishment of organizational ends and avoidance of executive limitations.
- Empower, coach, and develop people, modeling agile practices and demonstrating WKKF’s commitment to racial equity, community engagement, and leadership.
- Engage WKKF staff and external constituents, delivering timely, consistent, aligned, authentic communications at all levels.
- Drive innovation by delivering industry insights and seeking out and promoting continuous learning and improvement within assigned area(s) of expertise.
- Deliver high performance through data-driven decision-making, problem-solving, and results focus.
- Serve as an active member of the Steering Committee.
- Lead a high-performing team:
- Provide clear and consistent communications on roles, responsibilities, and expectations.
- Ensure team effectiveness and provide timely performance feedback and coaching in a manner that engenders performance excellence and strong customer service.
- Ensure cross-functional training and plan for the team’s staffing requirements.
Skillset
- Bachelor’s degree in Computer Science, Information Systems, Data Science, Business Intelligence / Analytics or a related field; advanced degree preferred but not required.
- 12+ years of progressive experience in enterprise data management, analytics, or business intelligence, including 5+ years in a senior leadership role.
- Experience managing blended teams of employees, consultants, and managed service providers.
- Demonstrated experience defining and executing enterprise data transformation strategies, including the implementation of cloud-based data lakehouses, modern data architectures, and scalable analytics ecosystems.
- Deep expertise in enterprise data architecture, medallion architecture, data modeling, semantic layers, data integration, metadata, lineage, data quality, and data observability.
- Proven experience selecting, implementing, or significantly expanding an enterprise master data management platform, including golden records, matching and survivorship rules, reference data, stewardship, and 360-degree data views.
- Experience integrating enterprise platforms such as FLUXX, Salesforce, SAP, or comparable grantmaking, CRM, ERP, and financial systems with MDM, cloud data platforms, and analytics solutions.
- Strong experience with responsible AI, machine learning, automation, and advanced analytics, including identifying high-value use cases, establishing appropriate safeguards, and building organizational trust and adoption.
- Demonstrated ability to influence executive and cross-functional leaders, translate complex technical concepts into business outcomes, lead organizational change, and deliver measurable enterprise value.
- Prior experience in a nonprofit, philanthropic, or mission-driven organization.
