Quality Assurance Leader  Data-Driven Ops & AI

Ascent Funding, LLC; Sioux Falls (SD); On-site; USD 120,000 - 170,000; Full time

Benefits offered by this job

Competitive salary + bonus eligibility

401(k) with 4% company match

Medical, dental, vision, and HSA ($1,7

14 paid holidays (including your bday)

Paid parental leave, tuition reimburse

Job summary

Ascent Funding, LLC seeks a practical, data‑driven leader to advance our Operations Quality Assurance program across teams. The role blends people leadership with building quality standards, using analytics to identify risk, and translating findings into measurable operational improvements.

You'll leverage automation and AI responsibly to strengthen quality oversight, drive performance, and partner across Operations, Compliance, Technology, and Learning & Development.

Qualifications

• 5+ years of quality assurance experience in financial services or other regulated environments.
• 3+ years of people leadership experience.
• Strong knowledge of quality monitoring, calibration, root‑cause analysis, and operational controls.
• Experience using analytics, automation, AI‑enabled tools, or other technology to improve quality or performance.
• Strong leadership, communication, analytical, and stakeholder‑management skills.

Responsibilities

• Lead and advance the Operations QA program across teams.
• Establish consistent quality standards, monitoring methodologies, calibration practices, and reporting.
• Use data, analytics, automation, and AI-enabled tools to identify trends, assess risk, and improve performance.
• Coach and develop QA team members while driving accountability and continuous improvement.
• Partner with Operations, Compliance, Technology, and Learning & Development to translate quality insights into corrective actions and measurable results.

Skills

Leadership

Quality Assurance

Data analytics

Automation

AI tooling

Job description

Ascent Funding, LLC seeks a practical, data‑driven leader to advance our Operations Quality Assurance program across teams. The role blends people leadership with building quality standards, using analytics to identify risk, and translating findings into measurable operational improvements.

You'll leverage automation and AI responsibly to strengthen quality oversight, drive performance, and partner across Operations, Compliance, Technology, and Learning & Development.