Senior Director, Data Operations & Enablement

Madrigal Pharmaceuticals•Waltham, PA

About The Position

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 data supporting the Commercial organization. Reporting to the Executive Director, Commercial Data Strategy & Analytics, this leader owns the end-to-end commercial data supply chain, including source integration, data quality, master data management, data products, and business intelligence. The role turns internal and third-party data assets into trusted, governed, analytics-ready products and builds the team, processes, and architecture needed to scale as the company’s portfolio and data footprint grow. This is a team-leader, business-enabler, and hands-on operator role. The leader sets a multi-year data operations roadmap while ensuring reliable day-to-day operations, and partners across Commercial, enterprise IT, Privacy, Legal, IT Security, and Compliance.

Requirements

Bachelor’s degree in computer science, engineering, information systems, a quantitative field, or a related discipline.
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 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 skills, including translating business needs into scalable, governed data solutions.
Clear communication skills to align technical and business stakeholders around data standards and priorities.
Player/coach leadership skills, including building, scaling, and developing high-performing data teams.

Nice To Haves

Advanced degree.
Deep familiarity with pharmaceutical commercial data, including specialty pharmacy/hub, claims, distributor 852/867, syndicated data such as IQVIA, CRM/Veeva, MMIT, and 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.

Responsibilities

Own the reliability and business continuity of commercial data operations, establishing SLAs, monitoring, alerting, and incident management to ensure timely, accurate data delivery across Commercial functions.
Run the end-to-end data supply chain from source ingestion through curated, consumption-ready layers.
Integrate commercial data sources—including specialty pharmacy and hub, IDN, claims, distributor 852/867, syndicated data, CRM/Veeva, formulary and access, and gross-to-net/contract data—into governed, analytics-ready assets.
Set and evolve the commercial data architecture on a modern cloud platform, applying medallion or lakehouse patterns for scalability, performance, and cost efficiency in partnership with the Data Strategy & Enrichment lead.
Establish and enforce enterprise-grade data quality frameworks for validation, reconciliation, monitoring, root-cause remediation, stewardship, and accountability across domains.
Own master data management across customer/HCP/HCO, product, payer, and territory domains, including identity resolution, hierarchy management, and reference data.
Operationalize 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, enabling consistent, reliable self-service reporting across Commercial.
Establish data governance, cataloging, and lineage, and ensure compliance with privacy and regulatory requirements, including HIPAA/expert-determination standards and patient-level tokenization, 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; shape organizational design, act as a player/coach, and develop talent.
Manage relationships and commercial arrangements with data aggregators and platform vendors, and partner closely with enterprise IT.
Own the multi-year data operations roadmap, driving automation, modernization, and AI enablement of data operations to scale efficiently.

Benefits

Equity for all employees.
Flexible paid time off.
Medical insurance.
Dental insurance.
Vision insurance.
Life and disability insurance.
401(k) offerings, including traditional, Roth, and employer match, in accordance with applicable plans.
Voluntary supplemental life insurance.
Legal services and other voluntary benefits.
Mental health benefits through the Employee Assistance Program for employees and their family.