Associate VP, Philanthropy Data Analytics

Job Summary

Reporting to the Senior Vice President and Chief Development Officer, CHOC Foundation, the Associate Vice President, Data Intelligence serves as a key member of the Foundation Leadership Team and is responsible for advancing the Foundation's data intelligence strategy, analytics capabilities, and operational infrastructure. This role leads the organization's data ecosystem to transform data into actionable intelligence that drives fundraising performance, donor engagement, operational excellence, and organizational growth.

Environmental Sustainability Statement

Driven by the connection between children's health and a healthy environment, we commit to creating a healthcare model that incorporates environmental sustainability aligned with our mission to protect children's health and patient safety.

Pay, Benefits, and Schedule

• Pay Range: Minimum $138,757 Midpoint $208,125 Maximum $277,514
• Rate of pay is determined by various factors, including but not limited to knowledge, skills, competencies, experience, education, as well as position requirements.
• Benefits: Details not specified in the job posting.
• Schedule: Day – 08hrs (United States of America)

Experience Required

• Seven (7) to ten (10) years of progressive leadership experience in business intelligence, data analytics, data governance, reporting, CRM administration, or related disciplines.
• Demonstrated experience developing and executing data strategies that support fundraising, advancement, healthcare, nonprofit, or mission-driven organizations.
• Advanced experience with Salesforce, Marketing Cloud, data integration platforms, business intelligence tools, and CRM ecosystems.

Education Required

• Bachelor’s degree in Information Systems, Data Science, Business Analytics, Computer Science or a related field, or equivalent professional experience.
• Master’s Degree preferred.

Preferred

• Non-profit and/or healthcare experience highly preferred.

Specialized Skills

• Enterprise Systems & Operational Mindset: Systems thinker with strong attention to detail and organizational discipline; able to identify opportunities for integration, standardization, and optimization in support of fundraising performance.
• Leadership & Management Capability: Demonstrated experience leading high-performing teams, fostering accountability, innovation and excellence and managing technical vendors, including driving efficiencies, controlling costs, and delivering measurable outcomes, preferably within children’s healthcare, academic medicine or complex nonprofit environments.
• Strategic Initiative & Execution: Self-directed leader with the ability to independently evaluate emerging technologies, processes, and methodologies; possesses the vision and discipline to translate recommendations into executable solutions.
• Influence & Collaboration: Strong interpersonal and communication skills with the ability to influence stakeholders and build trusted, collaborative relationships across the Foundation, Hospital Leadership, and key stakeholders at all levels.
• Analytical and Organizational Skills: Must have strong organizational and analytical skills, with great attention to detail, to effectively respond to technical assistance requests while maintaining the integrity of the data infrastructure.
• Ability to Work Independently: Must be able to work independently and make effective decisions in a complex business environment with shifting priorities.
• Advanced Analytical Capability: Collecting, analyzing, and interpreting complex operational, fundraising, and transactional data to inform strategy and performance.
• Technical & Data Governance Aptitude: Strong understanding of data governance frameworks, data quality controls, and stewardship best practices.
• Fundraising Systems Expertise: Working knowledge of CRM and fundraising platforms such as Raiser’s Edge NXT, Asana or Power BI, and related analytics tools.
• Data & Reporting Technologies: Experience with SQL, Python, or similar tools to support data extraction, transformation, modeling, and reporting.
• Statistical & Data Modeling Proficiency: Ability to interpret complex statistical data and lead projects involving analytical methodologies, database design, and advanced data modeling.

Licensure Required

• None.