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A leading company in healthcare is seeking a Senior Data Product Manager to enhance data infrastructure and reporting. You will manage data pipelines, collaborate with stakeholders, and leverage your expertise in SQL, Python, and analytics. This role requires extensive experience in data architecture to support their mission of improving access to care.
The hiring range for this role is:
125,870.00 - 176,525.00This 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 also be modified in the future. A candidate's position within the range may depend on factors such as competencies, education, qualifications, certifications, experience, skills, seniority, performance, shift, travel requirements, and organizational needs. This job is also eligible for 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 pay amount is considered wages or compensation until earned, vested, and determinable. Bonuses, commissions, or other compensation remain at the company's discretion and may be modified.
The Senior Data Product Manager at Synergie will support IT infrastructure, information transmission, reporting, and analytics. Responsibilities include managing data infrastructure, developing solutions for complex information exchanges, and working with stakeholders. Key duties involve managing data transmissions, enhancing capabilities, building data models, and supporting business and IT needs. The role aims to improve data processes supporting Synergie's mission of lowering medication costs and improving access to care.
Responsibilities include soliciting business requirements, managing data pipelines, designing data models, leveraging coding languages like SQL, Python, VBA, and Alteryx, maintaining technical documentation, supporting data processes, facilitating technical discussions, providing technical support, and collaborating with stakeholders to optimize data transfer processes.
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