Associate Director, Data & Analytics

Mavericks Wanted

When was the last time you achieved the impossible? If that thought feels overwhelming, you might want to pause here, but if it sparks excitement...read on
 
In 2015, we pioneered a “moneyball for biotech” approach, pooling projects and promising early-stage research from academia together under one financial umbrella to reduce risk and unleash innovation. This model allows science and small teams of experts to lead the way. We build bridges to groundbreaking advancements in rare disease, and develop life-changing medicines for patients with unmet needs as fast as humanly possible. 
 
Together we define white space, push boundaries and empower people to solve problems. If you're someone who defies convention, join us and work alongside some of the most respected minds in the industry. Together, we'll ask "why not?" and help reengineer the future of biopharma.

What You'll Do

We are seeking a visionary Associate Director, Data & Analytics – Data Engineer/Scientist to join our team of data engineers to shape the enterprise data landscape at our innovative life sciences organization. In this senior leadership role, you will define and execute a holistic data strategy that empowers our pharmaceutical/biotech business – enabling advanced business intelligence, automating data governance workflows, and supporting cutting-edge predictive modeling initiatives.

Based in San Francisco, CA with a flexible hybrid work arrangement, you will collaborate closely with cross-functional teams (G&A functions, Commercial, Medical, Compliance, and others) to ensure our data architecture and practices drive value, uphold regulatory standards, and ultimately improve patient outcomes. The ideal candidate is an experienced data leader with deep expertise in AI/ML, modern cloud data architectures, and the unique data and compliance needs of the biotech/pharma sector. As a key member of our leadership team, you will influence strategy and foster a data-driven culture aligned with our mission to deliver life-changing therapies.

Responsibilities

Data Strategy and Governance:

• Develop and execute a comprehensive data management and analytics strategy that aligns with organizational goals
• Establish and enforce data governance policies, standards, and best practices
• Maintain strict compliance with healthcare laws and guidelines (e.g. FDA regulations, GxP, HIPAA) and global data privacy standards (GDPR, CCPA)

Master Data Management, Data Quality, and Integration:

• Define and implement a Master Data Management (MDM) roadmap for the enterprise in collaboration with various business teams
• Define data quality standards and implement assurance processes
• Facilitate data integration across systems and sources for a unified view of organizational data
• Monitor data quality metrics and spearhead efforts to address data issues
• Establish capabilities for Data catalog, Metadata Management, and Data Dictionary
• Implement data security protocols and access controls to safeguard sensitive data
• Conduct regular data audits and risk assessments to ensure compliance
• Evaluate and implement modern data technologies, tools, and platforms (cloud services, databases, ETL/ELT tools, analytics and AI platforms) that best fit our needs
• Manage relationships with external vendors and data providers, negotiating contracts and ensuring high-quality service for data management, integration, and analytics solutions

Data Analytics and Reporting:

• Lead business intelligence and analytics teams for reporting and advanced analytics
• Develop and deliver relevant Key Performance Indicators (KPIs) and Dashboards for various business teams
• Ensure data is readily available and accessible for deriving business insights

Architecture and Infrastructure:

• Oversee the design and maintenance of data architectures, including data warehouses, data lakes, and data pipelines
• Collaborate with Infrastructure teams to ensure data infrastructure scalability, reliability, and performance
• Evaluate and recommend data management technologies and tools
• Demonstrate a strong understanding of cloud architecture, security best practices, and cost optimization strategies
• Proven experience in managing cloud infrastructure, with a focus on Azure and AWS
• Drive the implementation of a “single source of truth” for all critical data, integrating information across R&D, clinical, commercial, and medical functions

AI-Driven Analytics:

• Leverage artificial intelligence and machine le