Senior Manager, Data Operations and Governance

COMPASS Pathways

Senior Manager overseeing data operations and governance for a biotech company developing mental health treatments. Leading integration and quality of commercial data for analytics and reporting.

Posted 7/14/2026full-timeNew York City • New York • 🇺🇸 United StatesSenior💰 $135,000 - $185,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

Use this summary to align your resume positioning with the role.

Expertise in data operations and analytics engineering within the pharmaceutical and healthcare sectors, with a strong focus on data governance, compliance, and the development of scalable data pipelines. Proficient in advanced SQL, Python, and cloud infrastructure, with a proven ability to collaborate across teams to deliver high-quality data products.

Highest-signal resume keywords

Data Operations ManagementAdvanced SQLPython ProgrammingData Governance PracticesSpecialty Pharmacy Data Experience

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Applicant Tracking System Keywords

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Hard Skills

Data ModelingData TransformationData Pipeline DevelopmentData Quality AssuranceCompliance Support

Soft Skills

Strong CommunicationStakeholder ManagementProblem-SolvingBuilder Orientation

Tools & Technologies

AWS/S3Veeva SoftwareDbtData Aggregation Platforms

Industry Keywords

PharmaceuticalBiotechHealthcareHIPAA ComplianceREMS

Tech Stack

Tools & technologies

AWSCloudPythonSQL

About the role

Key responsibilities & impact

Own intake and integration of commercial data sources, including specialty pharmacy, REMS, claims, and field/CRM data
Serve as the primary technical point of contact for data aggregators and external vendors. Hold partners accountable to SLAs and data quality standards; resolve issues when feeds break or quality slips
Design and maintain the data models, transformations, and consumption layers that downstream analytics, forecasting, and reporting depend on
Build and operate scalable, credential-safe data pipelines
Establish and enforce data governance practices: lineage, definitions, access controls, audit trails, and change management
Partner with Commercial Analytics, Forecasting, Field Operations, Market Access, and IT to ensure data products meet consumer needs and handoffs are clean
Support compliance with HIPAA, PDMA, aggregate spend, and other regulatory requirements
Support the build of a data function: documentation, runbooks, and monitoring that outlast any one person on the team

Requirements

What you’ll need

Bachelor’s degree in computer science, Data Engineering, Information Systems, Statistics, or a related field (Master's a plus, not required)
6+ years of experience in data operations, analytics engineering, or commercial data management within pharmaceutical, biotech, or healthcare with at least 2 years in a senior individual contributor or lead role
Hands-on experience with specialty pharmacy data strongly preferred; adjacent specialty data experience (claims, LDD, hub, REMS) also considered
Working knowledge of SP data aggregation platforms, familiarity with Veeva software tools including Network and Nitro are a plus
Strong technical toolkit: advanced SQL, Python, dbt or comparable transformation framework, and AWS/S3 or equivalent cloud infrastructure
Demonstrated ability to model data thoughtfully, with opinions on grain, naming, and structures that hold up over time
A scrappy, builder orientation. Comfortable in environments where the playbook is still being written, and able to push back on vendors and stakeholders without burning bridges
Strong communication skills, including the ability to translate technical tradeoffs to non-technical commercial leaders.

Benefits

Comp & perks

Total Package includes discretionary bonuses and equity