Director of Analytics Delivery & Data Engineering (Remote)

Premier Professional Systems, Inc.

United States

Remote

USD 141,000 - 234,000

Full time

14 days+

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Benefits offered by this job

Health insurance
401k retirement program
Paid time off
Participation in incentive plans
Tuition reimbursement

Job summary

Premier Professional Systems, Inc. seeks a Director of Advisory Services Analytics Delivery and Data Engineering to lead performance improvement initiatives for healthcare clients.

You will drive engagement results, manage client relationships, supervise staff, and ensure quality and profitability across engagements. You will participate in internal analytics, KPIs, data ingestion standards, and best practices, while delivering value through pipelines and analytics.

Qualifications

  • Extensive consulting and leadership experience in advisory services.
  • Strong analytics and data engineering background with healthcare focus.
  • Proven ability to manage client relationships, teams, and project economics.

Responsibilities

  • Lead delivery of analytics and data engineering projects for healthcare clients.
  • Mentor staff and supervise project teams across engagements.
  • Develop and oversee client deliverables, KPIs, and solution implementations.
  • Oversee risk management, logistics, and engagement profitability.

Skills

Advisory leadership
Analytics delivery
Data engineering
Healthcare analytics
Team mentoring
Client relationships
Risk management
Project logistics
Business development

Education

Bachelor's degree
Master’s Degree

Tools

Data Bricks

Job description

Premier Professional Systems, Inc. seeks a Director of Advisory Services Analytics Delivery and Data Engineering to lead performance improvement initiatives for healthcare clients.

You will drive engagement results, manage client relationships, supervise staff, and ensure quality and profitability across engagements. You will participate in internal analytics, KPIs, data ingestion standards, and best practices, while delivering value through pipelines and analytics.

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