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Synergie Medication Collective - Data IT Product Manager

Davita Inc.

Orlando (FL)

Remote

USD 125,000 - 177,000

Full time

4 days ago
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Job summary

A leading company in healthcare is seeking a Senior Data Product Manager to manage data infrastructure and develop solutions that align with business needs. This role supports IT infrastructure and analytics, aiming to improve patient care access while leveraging a range of coding languages and collaborating with technical teams. Ideal candidates will have extensive experience in analytics and healthcare data, and possess strong communication skills.

Benefits

Comprehensive benefits package
Paid time off and 11 holidays
Generous 401(k) match
Lifestyle spending account

Qualifications

  • 7+ years in analytics, system design, development, or technical architecture.
  • Experience with healthcare data, claims data, PBM preferred.
  • Solution-oriented, self-learner, capable of working independently.

Responsibilities

  • Manage data infrastructure and transmissions, develop solutions based on business requirements.
  • Design and implement complex data models supporting systems and reporting.
  • Collaborate with stakeholders to optimize data transfer processes.

Skills

Effective communication

Education

High School diploma or GED
Bachelor's degree in Business, Finance, Engineering, Computer Science, or related field

Tools

SQL
Python
Alteryx
VBA

Job description

The hiring range for this role is:

125,870.00 - 176,525.00

This is the lowest to highest salary we, in good faith, believe we would pay for this role at the time of this posting. We may ultimately pay more or less than the hiring range, and this range may be modified in the future. A candidate's position within the range may depend on various factors including competencies, education, qualifications, certifications, experience, skills, seniority, performance, shift, travel requirements, and organizational needs.

This job is also eligible for an annual bonus incentive pay.

We offer a comprehensive benefits package including paid time off, 11 holidays, medical/dental/vision insurance, a generous 401(k) match, lifestyle spending account, and other benefits to eligible employees.

Note: No amount of pay is considered wages or compensation until earned, vested, and determinable. Bonus, commission, or other compensation remains at the company's sole discretion unless paid and may be modified.

The Senior Data Product Manager will be a key resource at Synergie, supporting IT infrastructure, information transmission, reporting, and analytics. Responsibilities include managing data infrastructure, making data available, and building capabilities to meet business objectives. This role involves working closely with IT and business teams to create data models and processes that support Synergie's mission to lower medication costs and improve access to care.

  • Manage data infrastructure and transmissions, develop solutions based on business requirements.
  • Design and implement complex data models supporting systems and reporting.
  • Leverage coding languages (e.g., Alteryx, VBA, SQL, Python) for data processing and pipelines.
  • Maintain technical documentation of data sets and IT resources.
  • Support data processes and technical management of information.
  • Facilitate technical discussions on data feeds and transfer methods.
  • Provide technical support for IT infrastructure components.
  • Support ad hoc and production reporting aligned with company goals.
  • Collaborate with stakeholders to optimize data transfer processes.
Education
  • High School diploma or GED is required.
  • Bachelor's degree in Business, Finance, Engineering, Computer Science, or related field, or equivalent experience.
Experience
  • 7+ years in analytics, system design, development, or technical architecture.
  • Experience with healthcare data, claims data, PBM preferred.
  • Solution-oriented, creative, self-learner, capable of working independently and leading others.
  • Strong technical aptitude, detail-oriented, with an advanced degree in a data-related field preferred.
Skills
  • Effective communication with technical and non-technical audiences.

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