What You’ll Do
- Own the operational lifecycle of the HCP Access data product
- Monitor and investigate data pipeline health and data quality across ingestion, transformation, and delivery layers
- Identify upstream data issues and coordinate with product and engineering teams to resolve root causes
- Ensure customer-facing datasets are accurate, validated, and delivered on schedule
- Lead dataset validation and release processes
- Manage pre-release data validation and verification before customer delivery
- Generate and validate final production datasets
- Develop automated checks and data quality frameworks to detect anomalies and regressions
- Build scalable data operations tooling and processes
- Develop Python and SQL-based tools to automate monitoring, validation, and operational workflows
- Improve observability across data pipelines and delivery processes
- Reduce manual operational steps through automation and process improvements
- Act as a bridge across technical and operational teams
- Work closely with analysts, engineers, and product managers to ensure smooth data releases
- Translate operational issues into actionable engineering improvements
- Help define operational standards and best practices for data reliability
Requirements
- Bachelor's degree or equivalent professional experience.
- Direct experience working as part of an enterprise data product team.
- Strong technical foundation with fluency in Python and SQL for data analysis, development, or automation.
- Experience designing and implementing business operations and process improvements within a technical team.
Nice to Have
- Prior experience in commercial life sciences
- Familiarity with AWS and Veeva CRM
Perks & Benefits
- Medical, dental, vision, and basic life insurance
- PTO and company-paid holidays
- Retirement programs
- 1% charitable giving program
Compensation
- Base pay: $90,000 - $130,000 CAD
- 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.
Skills Required
- Bachelor's degree or equivalent professional experience
- Direct experience working as part of an enterprise data product team
- Strong technical foundation with fluency in Python and SQL for data analysis, development, or automation
- Experience designing and implementing business operations and process improvements within a technical team
Veeva Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Veeva and has not been reviewed or approved by Veeva.
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Equity Value & Accessibility — Equity is broadly distributed across the company, positioning most employees as shareholders. Stock-based incentives can materially enhance total compensation, particularly at higher seniority.
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Flexible Benefits — Work Anywhere enables remote-first flexibility with options to use offices and to gather through offsites or coworking weeks. This structure supports collaboration while minimizing rigid on-site requirements.
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Healthcare Strength — Core coverage includes medical, dental, vision, HSA/FSA, life and disability, and EAP. Supplemental perks such as commuter assistance and wellness or gym reimbursements are available in some locations.
Veeva Insights
What We Do
Veeva is the global leader in cloud software for the life sciences industry. Committed to innovation, product excellence, and customer success, Veeva serves more than 1,000 customers, ranging from the world’s largest pharmaceutical companies to emerging biotechs. As a Public Benefit Corporation, Veeva is committed to balancing the interests of all stakeholders, including customers, employees, shareholders, and the industries it serves.
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