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Mid LevelFull-time
Salary Range
$86,190 - $116,610 /year
This salary is estimated based on similar roles. The actual salary may vary.
About the Role
Join Veeva Systems as a Health Data Manager on the Crossix Data Platform team. You will own the design and execution of health data onboarding that initiates the pipeline for our Crossix Analytics and Veeva Compass suites. This role bridges internal technical teams and external data partners, ensuring seamless data onboarding into our data network.
Key Responsibilities
- →Participate in health partner data onboarding, working closely with Data Partners to understand their data and discuss technical aspects
- →Own and design data onboarding features from start to finish, including user stories, functional and non-functional requirements, feature and mapping specifications, quality control checks, and data dictionaries
- →Manage the overall initial data onboarding plan, including release and sprint planning, prioritization, communication with Data Partners, and risk mitigation
- →Manage and improve ongoing processes of tracking data quality from all suppliers, communicating detected issues to stakeholders and driving resolution
- →Collaborate closely with Health Data Partnerships, Engineering, QA, Data Operations, and Product Management to ensure products are built and delivered with quality
- →Build expertise on inbound data, per data type (prescription, medical claims, etc.)
- →Establish quality metrics, monitoring, and dashboards, and design roadmap and plan to drive continuous improvement of our data product
- →Lead and execute ongoing data quality monitoring, managing stakeholder communications and collaborating with Data Partners to drive issue resolution
- →Own the investigation and resolution of data observations and data questions
Requirements
- ✓3+ years experience working on data pipelines, such as designing ETL/ELT processes, schemas, and analytics
- ✓Exceptional leader, a clear communicator, forming relationships and influencing without authority across all levels of organization
- ✓Understand data and data infrastructure, and experience designing transformations, mappings and working with reference tables
- ✓Proficient in SQL
- ✓Experience with data visualization tools such as Sigma
- ✓Understanding of cloud based applications and designs
- ✓Experience investigating data issues and working with Data Scientists as needed for complex analysis
- ✓BA/MA/BSc/MSc in relevant fields
- ✓High English Proficiency
- ✓summaryBullets": ["Own design and execution of health data onboarding
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