Manager, Data Operations
Role Overview
Leads delivery and daily operation of specialty pharmacy, specialty infusion, patient services, trade, and distribution data supporting US Commercial strategy.
Transforms partner data into governed assets for reporting, analytics, field operations, and business decisions; works hands-on with SQL and end-to-end pipelines.
Key Skills for This Role
Full Job Posting
Role overview
Leads delivery and daily operation of specialty pharmacy, specialty infusion, patient services, trade, and distribution data supporting US Commercial strategy.
Transforms partner data into governed assets for reporting, analytics, field operations, and business decisions; works hands-on with SQL and end-to-end pipelines.
Work arrangement
- The company expects an average minimum of three days per week in the office while allowing individual flexibility.
Accountabilities
- Define data-feed specifications, mappings, requirements, and acceptance criteria; coordinate build through operational handover.
- Monitor scheduled specialty pharmacy, infusion, wholesaler, and distributor feeds; lead recovery, reloads, and stakeholder updates.
- Investigate data issues with SQL and Snowflake, identify root causes, and implement durable fixes and automated checks.
- Develop reusable data models and pipelines with data engineers; define quality controls, lineage, and release validation.
- Manage delivery backlogs and incidents, prioritize dependencies, and guide cutovers, hypercare, and post-release reviews.
- Coordinate with business, technology, and data-provider teams on definitions, interfaces, schedules, and ownership.
- Maintain data documentation and operational evidence; improve monitoring and automation while applying privacy and contractual controls.
- Lead the external aggregation partner, manage onboarding and feed changes, set service expectations, and ensure accurate, timely, compliant outputs.
Essential experience and education
- At least 5 years in data operations, data engineering, data management, or a related role.
- Bachelor’s degree in computer science, engineering, information systems, analytics, life sciences, or a related field, or equivalent experience.
- Strong SQL and practical Snowflake knowledge, including profiling, reconciliation, access controls, and query performance.
- Working knowledge of Python, Airflow or comparable orchestration, and dbt or comparable transformation tooling.
- Able to trace data end to end, read code and technical designs, assess change impacts, and work with business, technology, and vendor teams.
- Experience with pharmaceutical commercial data, including specialty pharmacy, patient services, specialty distribution, or trade feeds.
Desirable experience
- Knowledge of patient referral, status, dispense, and shipment data; wholesaler inventory and shipment feeds, including 852/867.
- Experience with SFTP, Amazon S3, Snowflake stages or secure sharing, Git-based releases, production deployment, or API/MuleSoft integrations.
- Familiarity with patient data, claims, CRM, HCP/HCO master data, roster and territory alignment, or Veeva, IQVIA, and Komodo.
- Rare disease or specialty medicine experience; analytics, model validation, scoring, alerts, or AI-assisted data operations; vendor coordination or mentoring.
Compensation
- Annual base salary ranges from 104,088.80 to 136,616.55; the offer may vary based on individual and business factors.
- Permanent positions may include an annual variable-pay bonus, possible long-term incentives, and benefits; fixed-term or temporary positions receive a contract benefits program.
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