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Madrigal Pharmaceuticals

Senior Director, Data Operations – Enablement

Madrigal Pharmaceuticals

. Own the reliability and business continuity of the commercial data operation, including SLAs, monitoring, alerting, incident management, and timely, accurate data delivery .

Posted 10/16/2026full-timeUnited StatesSenior💰 $265,862 - $307,558 per yearWebsite

Core Competencies

Role fit
Core Competencies

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

Demonstrates expertise in data operations, integration, and governance within the pharmaceutical sector, leveraging modern cloud platforms and BI tools to ensure data quality and compliance. Proven ability to lead and scale multidisciplinary teams while driving automation and AI enablement in data processes.

Highest-signal resume keywords
Data Operations ManagementData Integration and QualityMaster Data Management (MDM)Cloud Data Platforms (Azure, Databricks, Snowflake)Business Intelligence (Power BI, Tableau)

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills
Data EngineeringData GovernanceData CatalogingData LineageETL-ELT ProcessesPatient-Level Data TokenizationPrivacy-Preserving LinkageAI and Automation in Data OperationsCommercial Data IntegrationData Architecture
Soft Skills
Clear CommunicationCross-Functional PartnershipPlayer/Coach LeadershipStrategic Decision-MakingProblem-Solving
Tools & Technologies
Microsoft PurviewAlationDatavantIQVIAVeevaModel NIntegriChain
Industry Keywords
Pharmaceutical DataBiotech DataCommercial Data SourcesSyndicated IQVIASpecialty PharmacyClaims DataGross-to-Net DataRegulatory ComplianceData Quality FrameworksSelf-Service Analytics

Tech Stack

Tools & technologies
AzureCloudETLTableau

About the role

Key responsibilities & impact
  • Own the reliability and business continuity of the commercial data operation, including SLAs, monitoring, alerting, incident management, and timely, accurate data delivery
  • Run the end-to-end data supply chain from source ingestion through curated, consumption-ready layers
  • Integrate commercial data sources including specialty pharmacy / hub, IDN, claims, distributor 852/867, syndicated IQVIA, CRM / Veeva, formulary and access, and gross-to-net / contract data
  • Set and evolve commercial data architecture on a modern cloud platform using scalable, performant, and cost-efficient patterns
  • Establish and enforce enterprise-grade data quality frameworks, validation, reconciliation, monitoring, and root-cause remediation
  • Own master data management across customer / HCP / HCO, product, payer, and territory domains
  • Operationalize reusable, governed data products and a semantic layer for self-service analytics and AI
  • Own the business intelligence platform and governed reporting layer, such as Power BI or Tableau
  • Establish data governance, cataloging, and lineage while ensuring privacy and regulatory compliance
  • Build, lead, and scale a multidisciplinary team spanning data engineering, data operations, BI development, and data stewardship
  • Manage relationships and commercial agreements with data aggregators and platform vendors
  • Partner with enterprise IT and own the multi-year data operations roadmap, driving automation, modernization, and AI enablement

Requirements

What you’ll need
  • Bachelor's degree in computer science, engineering, information systems, a quantitative field, or a related discipline; advanced degree preferred
  • 15+ years of experience in data operations, data engineering, data management, or commercial data within pharmaceutical or biotech, including hands-on work with commercial data sources
  • Experience leading, building and scaling multidisciplinary data teams
  • Demonstrated ownership of data integration, data quality, and master data management (MDM) in a production environment
  • Experience with modern cloud data platforms such as Azure / Microsoft Fabric, Databricks, or Snowflake and data integration / ETL-ELT at scale
  • Experience with BI platforms such as Power BI or Tableau and enabling governed self-service analytics
  • Deep familiarity with pharma commercial data, including specialty pharmacy / hub, claims, distributor 852/867, syndicated IQVIA, CRM / Veeva, MMIT, Model N / IntegriChain
  • Experience with data governance and cataloging tools such as Microsoft Purview, Alation, or Databricks and data lineage
  • Experience with patient-level data tokenization and privacy-preserving linkage such as Datavant or IQVIA and HIPAA / expert-determination compliance
  • Experience integrating Commercial data with Medical and/or R&D data
  • Experience applying AI and automation to data operations
  • Experience supporting specialty or rare disease brands, ideally through launch and scale
  • Deep technical fluency in data engineering, integration, quality, and architecture
  • Ability to balance strategic platform and roadmap decisions with hands-on problem-solving
  • Strong vendor, IT, and cross-functional partnership
  • Clear communication to align technical and business stakeholders around data standards and priorities
  • Player/coach leadership; ability to build, scale, and develop high-performing data teams

Benefits

Comp & perks
  • Equity for all employees
  • Flexible paid time off
  • Medical insurance
  • Dental insurance
  • Vision insurance
  • Life/disability insurance
  • 401(k) traditional, Roth, and employer match
  • Supplemental life insurance
  • Legal services
  • Mental health benefits through the Employee Assistance Program for employees and their family
  • Reasonable accommodations throughout the hiring process