Hybrid Irvine: Director of Data Analytics & Insights

Pnsoc

Irvine (CA)

Hybrid

USD 150,000 - 230,000

Full time

14 days+

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Benefits offered by this job

Health insurance
Paid time off
Vision insurance
401(k) matching
Bonus based on performance
Dental insurance

Job summary

Pnsoc is seeking a Director of Data Analytics to own the data, BI, and analytics roadmap across clinical, operational, and financial performance areas. The role translates complex data into executive insights, mentors a high-performing team, and partners with executive leadership across outpatient, research, value-based care, and rehab divisions while ensuring HIPAA and compliance standards.

The role emphasizes building self-service analytics, defining AI use cases for analytics, and delivering

Qualifications

  • Bachelor's degree required in data analytics, CS, or related field.
  • 8+ years in data analytics/BI with 3+ years in leadership roles.
  • Healthcare analytics experience in outpatient, clinical research, or related settings.

Responsibilities

  • Define and execute a company-wide data and analytics roadmap aligned with clinical and business growth objectives.
  • Hire, mentor, and lead a team of Data and BI Analysts, fostering excellence and strategic thinking.
  • Oversee data governance, ensuring high data quality, HIPAA compliance, and PHI protection.

Skills

Team leadership
Data storytelling
Stakeholder communication
HIPAA compliance
Healthcare analytics
Problem solving

Education

Bachelor's degree in Data Analytics or related field
Master's degree preferred

Tools

SQL
Python
Hex
BI tools

Job description

Pnsoc is seeking a Director of Data Analytics to own the data, BI, and analytics roadmap across clinical, operational, and financial performance areas. The role translates complex data into executive insights, mentors a high-performing team, and partners with executive leadership across outpatient, research, value-based care, and rehab divisions while ensuring HIPAA and compliance standards.

The role emphasizes building self-service analytics, defining AI use cases for analytics, and delivering

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