Advancement Data Operations & Technology Lead

USF Advancement connects the university with donors who want to make a difference by providing philanthropic support to promote student success research academic excellence and other strategic priorities. With an endowment that now exceeds $700 million in value our dedicated team of approximately 200 professionals including 60 fundraisers encompasses alumni development and foundation operations. The team is responsible for raising more than $150 million annually and has broken records year after year with more than $184 million raised in fiscal year 2025.

The Senior Data Operations & Integrity Lead is the primary operational owner responsible for the execution stability and ongoing integrity of Advancement operational data.

This role institutionalizes critical data operations knowledge transforming manual and person-dependent practices into sustainable automated and scalable capabilities. This position is accountable for data integrity both within the CRM and as information moves across platforms integrations and vendors.

Working hands-on within Advancement systems and data environments the Lead ensures constituent gift designation and engagement data are accurate reliable auditable and trusted across the division. The role emphasizes data pipelines data quality controls and data monitoring so that data integrity improves continuously without becoming a manual bottleneck.

While this position does not define enterprise data policy it exercises significant judgment in applying standards resolving data issues and determining when escalation is required to protect institutional data trust and operational continuity.

Data Operations & Execution Across the Advancement Ecosystem

• Serve as the primary operational owner for Advancement data as constituent gift and engagement records are created updated moved and consumed across core systems including but not limited to the CRM.
• Execute monitor and support daytoday data operations spanning CRM records integrations imports and downstream platforms that rely on Advancement data.
• Support scheduled data cleanup and remediation efforts correcting and documenting identified data quality issues on an ongoing cadence.
• Investigate and resolve data issues endtoend while identifying opportunities to eliminate recurrence through automation or improved process design.
• Apply established data standards and operational guardrails consistently in daily execution across systems.

Data Imports Integrations and Modern Data Pipelines

• Execute and improve data pipelines and integrations that export Advancement data and move it reliably between systems and to vendors.
• Execute and oversee routine and highvolume data imports updates and corrections.
• Validate data accuracy attribution and compliance through automated controls reconciliation checks and exception handling.
• Identify recurring integration issues and recommend systemic improvements rather than oneoff manual fixes.

Data Integrity Quality and Automated Monitoring

• Establish and operate data quality and integrity controls at the dataset pipeline and application level.
• Run routine data audits and validation checks including rules thresholds reconciliations exception reporting and alerts across the data ecosystem.
• Leverage automation and AIassisted tools to detect data inconsistencies duplicate and missing values.
• Proactively address root causes of data issues instead of reacting to downstream reporting audit or analytics failures.
• Support gift processing accuracy financial reconciliation and audit readiness through disciplined repeatable data operations.

Business Partnership & Issue Intake

• Act as the primary point of contact for Advancement operational datarelated requests.
• Translate business needs into executable scalable data operations solutions that improve reliability and predictability.
• Set clear expectations for scope timing dependencies and escalation paths.
• Reduce ad hoc escalation by creating reliable predictable execution models for data operations.
• Produce standard and ad hoc reports lists and data extracts.

Documentation & Knowledge Management

• Maintain and evolve procedural documentation for data operations workflows and data quality controls.
• Capture and preserve institutional knowledge related to data behavior definitions business rules and edge cases.
• Ensure documentation reflects current systems integrations automation and operational practices.

Continuous Improvement & Escalation

• Identify patterns that indicate systemic data process or integration issues across the Advancement data ecosystem.
• Recommend operational improvements that increase automation reliability and efficiency.
• Escalate data definition conflicts governance questions or structural issues to appropriate leadership.
• Support adoption of data governance through consistent disciplined execution rather than policy enforcement.

Preference will be given to individuals who have experience with CRM Advance or similar Advancement focused CRM platforms as part of a broader data ecosystem; experience stewarding data quality across multi system environments where data is created integrated and consumed by multiple platforms; experience implementing or operating automated data quality checks validation rules reconciliation logic anomaly detection or data observability practices; experience diagnosing data issues across systems integrations pipelines and reporting layers; and familiarity with modern analytics and data platform patterns where CRM and operational data feed enterprise reporting dashboards automation or AI enabled solutions.

Bachelors degree in business administration or related field. Four years experience in sponsored research projects management and/or accounting within a university setting with extensive knowledge of state and federal regulations required. Experience in higher education nonprofit Advancement or other regulated data environments is preferred.

Degree Equivalency Clause: Four years of direct experience for a bachelors degree.
Senate Bill 1310- The Florida Senate ( is conditional upon meeting all employment eligibility requirements in the U.S.
SB 1310: Substitution of Work Experience for Postsecondary Education Requirements
A public employer may include a postsecondary degree as a baseline requirement only as an alternative to the number of years of direct experience required not to exceed:
(a) Two years of direct experience for an associate degree;
(b) Four years of direct experience for a bachelors degree;
(c) Six years of direct experience for a masters degree;
(d) Seven years of direct experience for a professional degree; or
(e) Nine years of direct experience for a doctoral degree
Related work experience may not substitute for any required licensure certification or registration required for the position of employment as established by the public employer and indicated in the advertised description of the position of employment.
Minimum Qualifications that require a high school diploma are exempt from SB 1310.