Manager, Data Operations
AstraZeneca · Mississauga, Ontario, Canada · Global
Healthcare Market Intelligence
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Pharmacist
Demand82
Career growth78
Healthcare fit58
Remote potential55
5-year outlook
Likely competitive within pharma data operations and commercial analytics, with manager-level compensation varying by location and experience; exact salary is not stated.
Clinical license
Not required
Applicant reach
moderate
Seniority
mid
Employment type
full-time
Date found
2026-10-24
Intelligence details
Flexible work details
- Side income
- Classified as side-income friendly
- Engagement type
- Temporary
- Hours
- Variable hours
- Eligible countries
- Canada
- Profession fit
- Pharmacist
Why this was classified this way
- Temporary
Eligibility, licensing, and location restrictions can change. Always confirm details on the source posting before applying.
Why this is worth applying to
Worth considering only if you already have strong SQL/Snowflake and data operations experience plus interest in pharma commercial data. Clinicians without a data engineering or informatics background will face a high bar.
Who should apply
Pharmacists, physicians, nurses, or healthcare graduates with health informatics, pharmacy operations, commercial pharma data, SQL/Snowflake, data governance, or vendor data management experience.
CV angle
Reframe real clinical, pharmacy, or health-informatics experience as data-intensive operations: specialty pharmacy workflows, patient services, HIPAA controls, data quality checks, reporting needs, stakeholder coordination, requirements gathering, and vendor/partner management. Quantify data issues resolved, reporting improvements, and cross-functional delivery where possible.
Skills to highlight
- SQL
- Snowflake
- data governance
- data quality
- ETL/data pipelines
- stakeholder management
- vendor management
- HIPAA
Role summary
Lead daily operations and reliability of specialty pharmacy, infusion, patient services, trade, and distribution data for AstraZeneca's US Commercial teams. The role combines hands-on SQL/Snowflake work, data governance, pipeline troubleshooting, vendor management, Jira delivery, and cross-functional coordination with business, IT, and external data partners.
We publish our own intelligence summary, never the full job description. Always confirm details with the employer when you apply.