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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Director, Data Operations & Enablement - **Company:** Madrigal Pharmaceuticals - **Location:** United States - **Experience:** Expert - **Salary:** $265,862.0 - $307,558.0 - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Microsoft Azure, Business Intelligence Development, Cloud Engineering, Cyber Security, Information Systems, Information Engineering, Data Governance, Data Integration, Extract Transform Load (ETL), Data Systems, Meta-Data Management, Operational Databases, Reference Data, Power BI, DataOps, Tableau (Software), Snowflake, Data Strategy, Microsoft Fabric, Information Technology, Data Lineage, Data Management, Data Delivery, Veeva, Databricks - **Published:** October 18, 2026 - **Apply:** https://startup.jobs/senior-director-data-operations-enablement-madrigal-10494907 ## About the Role Typical Degree & Years of Experience * 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 (e.g., Azure / Microsoft Fabric, Databricks, Snowflake) and data integration / ETL-ELT at scale. * Experience with BI platforms (e.g., Power BI, Tableau) and enabling governed self-service analytics. Preferred * Deep familiarity with pharma commercial data - specialty pharmacy / hub, claims, distributor 852/867, syndicated (IQVIA), CRM / Veeva, MMIT, Model N / IntegriChain. * Experience with data governance and cataloging tools (e.g., Microsoft Purview, Alation, Databricks) and data lineage. * Experience with patient-level data tokenization and privacy-preserving linkage (e.g., Datavant, 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. Skills & Competencies * Deep technical fluency in data engineering, integration, quality, and architecture, paired with the operational discipline to run reliable production data operations. * Ability to balance strategic platform and roadmap decisions with hands-on problem-solving. * Strong vendor, IT, and cross-functional partnership; translates business needs into scalable, governed data solutions. * Clear communicator who aligns technical and business stakeholders around data standards and priorities. * Player/coach leadership; builds, scales, and develops high-performing data teams. ## Description The Senior Director, Data Operations & Enablement is the senior operator and point of contact for Madrigal's commercial data ecosystem - accountable for the reliability, quality, integration, and scalability of the data that powers the entire Commercial organization. Reporting to the Executive Director, Commercial Data Strategy & Analytics, this leader owns the operations of the end-to-end commercial data supply chain: source integration, data quality, master data management, data products, and business intelligence. The role turns a growing collection of internal and third-party data assets into trusted, governed, analytics-ready products, and builds the team, processes, and architecture to scale that operation as Madrigal's portfolio and data footprint grow. This is a team leader, business enabler, and a hands-on operator - one who sets the multi-year data operations roadmap while keeping day-to-day operations running with high reliability. Role & Responsibilities * Own the reliability and business continuity of the commercial data operation - establishing SLAs, monitoring, alerting, and incident management that ensure timely, accurate data delivery across all Commercial functions - and run the end-to-end data supply chain from source ingestion through curated, consumption-ready layers. * Own integration of all commercial data sources - including specialty pharmacy / hub, IDN, claims, distributor 852/867, syndicated (e.g., IQVIA), CRM / Veeva, formulary and access (e.g., MMIT), and gross-to-net / contract (e.g., Model N, IntegriChain) data - into governed, analytics-ready assets. * Set and evolve the commercial data architecture on a modern cloud platform (e.g., Azure / Microsoft Fabric, Databricks, or Snowflake), applying medallion / lake house patterns for scalability, performance, and cost efficiency in partnership with the Data Strategy & Enrichment lead * Establish and enforce enterprise-grade data quality frameworks - validation, reconciliation, monitoring, and root-cause remediation - with clear data stewardship and accountability across domains. * Own master data management (MDM) across customer / HCP / HCO, product, payer, and territory domains, including identity resolution, hierarchy management, and reference data. * Operationalizing a catalog of reusable, governed data products and a semantic layer that enable trusted self-service analytics and AI. * Own the business intelligence platform and governed reporting layer (e.g., Power BI, Tableau), enabling consistent, reliable, self-service reporting across the Commercial organization. * Establish data governance, cataloging, and lineage (e.g., Microsoft Purview) and ensure compliance with privacy and regulatory requirements - including HIPAA / expert-determination standards, patient-level tokenization (e.g., Datavant, IQVIA) - in partnership with Privacy, Legal, IT Security, and Compliance. * Build, lead, and scale a multidisciplinary team spanning data engineering, data operations, BI development, and data stewardship; operate as a player/coach, shape the org design, and develop talent. * Manage relationships and commercials with data aggregators and platform vendors, partner closely with enterprise IT, and own the multi-year data operations roadmap - driving automation, modernization, and AI-enablement of data operations (e.g., AI-assisted data quality, pipeline monitoring, and metadata management) to scale efficiently.