Associate VP, Fundraising & Data Insights

CHOC Children's; Orange (CA); On-site; USD 138,757 - 277,514; Full time

Job summary

CHOC Children's in Orange, California is seeking an Associate Vice President, Data Intelligence, to advance the Foundation's data intelligence strategy and analytics capabilities. This leadership position involves transforming data into actionable intelligence that enhances fundraising performance and donor engagement.

The ideal candidate will have 7-10 years of experience in data governance, exceptional analytical skills, and a background in nonprofit or healthcare environments. Significant experience with Salesforce and Power BI is required. Join CHOC Children's to make a meaningful impact!

Qualifications

• 7-10 years of leadership experience in data analytics or related fields.
• Experience developing data strategies for nonprofit organizations.
• Expertise in Microsoft SQL, Power BI, and data visualization platforms.

Responsibilities

• Lead the Foundation's data intelligence strategy and analytics capabilities.
• Oversee enterprise data governance and business intelligence efforts.
• Ensure effective use and integrity of fundraising and donor data.

Skills

Leadership & Management Capability

Advanced Analytical Capability

Enterprise Systems & Operational Mindset

Technical & Data Governance Aptitude

Strong interpersonal and communication skills

Education

Bachelor’s degree in Information Systems, Data Science, Business Analytics, Computer Science or a related field

Master’s Degree

Tools

Salesforce

Power BI

SQL

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

No required training.

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

None required.

Non‑Discrimination Statement

CHOC does not discriminate on the basis of age, race, color, religion, national origin, ancestry, marital status, genetic information, disability, sex, gender (including pregnancy, breastfeeding, childbirth, lactation or related medical conditions), gender identity or expression, medical condition, sexual orientation, veteran status, military or uniformed service member status, or other protected characteristics in accordance with state and federal laws. We encourage individuals from all backgrounds to apply for positions at CHOC, even if your experience doesn’t align perfectly with the listed qualifications for a particular role, as your unique experience may be a great addition to our culture for another one of our opportunities.

If you desire support or accommodations throughout the Talent Acquisition process, please inform your Talent Acquisition Partner.