Madrigal Pharmaceuticals · 6 hours ago
Associate Director, Data and Analytics
Madrigal Pharmaceuticals is a biopharmaceutical company focused on delivering novel therapeutics for metabolic dysfunction-associated steatohepatitis (MASH). The Associate Director of Data and Analytics will play a critical leadership role in supporting Corporate, Finance, and Supply Chain functions by translating complex business requirements into scalable analytics solutions.
BiopharmaBiotechnologyMedical DevicePharmaceutical
Responsibilities
Provide technical leadership in the development and implementation of Supply Chain, Finance and corporate function analytics solutions, aligning with business objectives and industry best practices
Execute Madrigal’s established enterprise data strategy, ensuring alignment with corporate, supply chain, and finance priorities and accelerating analytics delivery
Champion data governance, trust, and transparency by leveraging Alation for data cataloging, lineage, metadata management, and access control
Architect scalable data pipelines and analytics platforms using Azure and Microsoft Fabric, enabling rapid insights and efficient data processing
Design and maintain semantic data models and dbt transformations to create well-governed, reusable, and trusted analytics layers
Build advanced Power BI dashboards, semantic models, dataflows, and Fabric-based analytics workflows to support enterprise and self-service reporting
Integrate Workday, Coupa, NetSuite, and other enterprise systems into unified, high-quality data models supporting corporate, finance, and supply chain analytics needs
Lead the development of predictive models, optimization analytics workflows to support forecasting, financial planning, and supply chain optimization
Apply statistical modeling and advanced analytics to extract strategic insights from complex datasets
Deliver conversational analytics solutions to support self-service and intuitive data access
Develop and automate data quality rules, profiling, and anomaly detection to ensure accuracy, completeness, and consistency of analytics outputs
Implement data privacy and policy enforcement workflows using Immuta, ensuring secure, compliant, and governed access to sensitive datasets in partner with data owners/stewards
Drive enterprise-wide trust by establishing transparent data quality metrics, automated validation layers, and auditable pipelines inside Fabric, dbt, and Azure
Collaborate with business stakeholders, data engineers, data scientists, and system owners to translate business requirements into technically sound analytics solutions
Act as a senior technical partner to business leaders, ensuring analytics solutions meet strategic and operational needs
Lead Agile execution through JIRA for sprint management and Confluence for documentation, standards, and process governance
Mentor junior analysts and engineers to build technical excellence and cross-functional capabilities
Evaluate emerging tools and technologies across analytics engineering, data governance, data quality, and conversational analytics to enhance enterprise capabilities
Drive adoption of modern self-service analytics capabilities through semantic modeling, cataloging (Alation), and governed data access (Immuta)
Contribute to reusable frameworks, best practices, documentation, and governance processes that improve analytics efficiency and ensure data trustworthiness
Qualification
Required
Bachelor's or Master's degree in Computer Science, Statistics, Mathematics, or a related field
10+ years of experience in analytics engineering, data engineering, or advanced analytics roles, preferably in the pharmaceutical or life sciences industry
Strong proficiency in Python and R, with demonstrated experience in statistical modeling, and analytical computing
8+ years of experience in data manipulation, integration, SQL development, and building scalable data products
Proven expertise with visualization and analytics platforms such as Power BI, Tableau, and enterprise BI ecosystems
Strong hands-on experience with Microsoft Fabric, including Power BI semantic models, dataflows, pipelines, and workspace governance
Deep expertise with dbt for modeling semantic layers and building scalable, modular, production-ready transformations
Experience designing and implementing automated data quality rules, profiling, anomaly detection, and validation frameworks
Proficiency with Alation for data cataloging, metadata management, lineage, stewardship, and access control
Experience working in Agile environments with JIRA and Confluence for project planning, sprint execution, and documentation
Strong leadership, communication, and stakeholder-management skills with the ability to influence technical and business teams and drive strategic outcomes
Preferred
PhD preferred
Benefits
Flexible paid time off
Medical, dental, vision and life/disability insurance
401(k) offerings (i.e., traditional, Roth, and employer match)
Supplemental life insurance
Legal services
Mental health benefits through our Employee Assistance Program
Company
Madrigal Pharmaceuticals
Madrigal Pharmaceuticals is a biopharmaceutical company developing therapeutics for the treatment of cardiovascular-metabolic diseases.
H1B Sponsorship
Madrigal Pharmaceuticals has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2022 (1)
Funding
Current Stage
Public CompanyTotal Funding
$1.94BKey Investors
Blue OwlHercules Capital
2025-07-22Post Ipo Debt· $350M
2024-03-18Post Ipo Equity· $690M
2023-09-28Post Ipo Equity· $500M
Recent News
2025-12-10
2025-11-13
2025-11-11
Company data provided by crunchbase