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.
QualificationsTypical 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.
Madrigal's Total Rewards strategy is based on a biotech industry peer group comparator and is inclusive of base pay, bonus and equity. Our equity offers meaningful opportunity allowing our employees to share in the success they help create. By aligning individual and company performance, we empower employees to think like owners, giving them a stake in the organization.
All employees receive equity, which we believe reinforces our ownership culture. Base salary is determined by several factors including the candidate's qualifications, skills, education, experience, business needs and market demands. As of the date of this posting, a good faith estimate of the current pay scale for this position, applicable to all candidates, is $265,862 - $307,558 per year. We comply with all applicable minimum wage laws.
All full-time employees receive equity, which reinforces our ownership culture and offers meaningful opportunity for our employees to share in the success they help create. By aligning individual and company performance, we empower employees to think like owners, giving them a stake in the organization.
Full-time employees are also eligible for comprehensive benefits, including flexible paid time off, medical, dental, vision and life/disability insurance, and 401(k) offerings (i.e., traditional, Roth, and employer match) in accordance with applicable plans. We also offer additional voluntary benefits like supplemental life insurance, legal services, and other offerings. In addition, we offer mental health benefits through our Employee Assistance Program for employees and their family. The company also provides other benefits in accordance with applicable federal, state, and local laws.
