Associate VP, Fundraising Analytics & Data Intelligence

Children's Hospital of Orange County

$138K — $277K *
Education, Government & Non-Profit
5 - 7 years of experience
Job Overview by Ladders

Qualifications

  • 7-10 years of leadership experience in business intelligence, data analytics, or CRM administration.
  • Experience in developing data strategies for fundraising or nonprofit organizations.
  • Expertise in Salesforce, Marketing Cloud, and business intelligence tools.
  • Proficiency with Microsoft SQL, Power BI, and data visualization platforms.
  • Bachelor's degree in Information Systems, Data Science, or a related field, with a preferred Master's degree.

Responsibilities

  • Lead the Foundation's data intelligence strategy and analytics capabilities.
  • Oversee enterprise data governance and reporting to ensure data integrity.
  • Drive the transformation of data into actionable fundraising intelligence.
  • Manage development operations functions, including gift administration and prospect development.
  • Provide empirical insights and predictive modeling to inform data-driven strategies.

Benefits

  • Opportunity to influence fundraising strategies for a mission-driven organization.
  • Chance to work closely with senior leadership on critical initiatives.
  • Engagement in advanced analytics and data modeling projects.
  • Work within a collaborative and innovative team environment.
Full Job Description
Work Location
Orange, California

Work Shift
Day - 08hrs (United States of America)

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.

The AVP oversees enterprise data governance, business intelligence, fundraising analytics, reporting, and technology platforms that support development operations. This position is responsible for ensuring the accuracy, integrity, accessibility, and strategic utilization of fundraising and donor data across the organization. Through advanced analytics, predictive modeling, performance measurement, and actionable insights, the AVP enables data-driven fundraising strategies and supports sustainable organizational growth.

In addition, the AVP provides oversight of development operations functions including gift administration, prospect development and fundraising technology systems while ensuring alignment with organizational objectives and industry best practices.

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.

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.
  • Expert-level proficiency with Microsoft SQL, Power BI, data visualization, and reporting platforms


Preferred:

Non profit and/or healthcare experience highly preferred.

Education

Required:

Bachelor's degree in Information Systems, Data Science, Business Analytics, Computer Science or a related field, or equivalent professional experience

Preferred:

Master's Degree

Training
• Required: None

Specialized Skills:

Required:

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.

Preferred:

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.

Work Environments - Functional Demand:

Physical Activity Requirements:

Physical Activity Lifting

Sensory Requirements:

Environment Requirements:

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