Quick overview
Job description
The Role
You are excited about data growth, enrichment, and accuracy. You understand that the foundation of AI is clean and high quality data. You will own the quality management process, prioritize data improvement projects, write requirements for transformation and calculations, work closely with other stakeholders to understand data gaps and how to fill them, and own the roadmap and priority of these enhancements.
What You'll Do
- Own and design product features start to finish including authoring high-quality design specifications and managing jira stories
- Design product capabilities to measure, clean, enrich and monitor data quality across billions of records
- Build business logic that influences how records are enriched, deduplicated, and merged
- Focus on machine-readability and the enrichments and context possible within the claims
- Own the roadmap for data quality for your components and domains - measure, monitoring and improvements
- Manage feature prioritization and grooming with the Development team
- Champion the needs of external customers, and the data use cases and visualizations that they’re building
- Understand the needs of the internal customers and drive priorities with input from a variety of stakeholders, including strategy, analytics, data science, and the health data management teams
- Support release and sprint planning to ensure product enhancements support customers at the right time and in the right sequence
- Collaborate closely with Engineering, QA, and Product Management to ensure products are built and delivered with quality
Requirements
- 5+ years of hands-on Product Management experience, technical services, engineering, analytics or other related positions
- Must have experience working with Prescription and Medical Claims data
- Experience working on big data systems, including schemas, reference tables, data clean-up, transformations, enrichment, and QC checks
- Experience investigating data issues and in using data visualization tools
- Proficient in SQL
Nice to Have
- Experience working on enterprise products
- Experience working on the AWS platform
- Proficient in Python
- BA/BS degree in Computer Science, Engineering, Math, or related technical field
- Experience working with EHR and Lab data
Interviewing with Veeva
- Follow the application process and submit your resume.
- Within 3 days, you will receive a link to a personality assessment administered by a third party, unless you have already completed it with Veeva previously.
- Once you complete the assessment, our team will review your full application package and follow up via email with our decision.
- If moving to the interview stage, the process is as follows:
- A conversation with the hiring manager
- A practical case exercise
- A final conversation with our group's Senior Leader.
- Once all interviews are complete, the manager will be in touch with a final decision.
We value your time and believe in a transparent hiring process. Here is the process you can expect.
Perks & Benefits
- Medical, dental, vision, and basic life insurance
- Flexible PTO and company paid holidays
- Retirement programs
- 1% charitable giving program
Compensation
- Base pay: $120,000 - $200,000
- The salary range listed here has been provided to comply with local regulations and represents a potential base salary range for this role. Please note that actual salaries may vary within the range above or below, depending on experience and location. We look at compensation for each individual and base our offer on your unique qualifications, experience, and expected contributions. This position may also be eligible for other types of compensation in addition to base salary, such as variable bonus and/or stock bonus.
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