Associate Director, Data & Analytics

BridgeBio Pharma-posted 3 months ago

Full-time • Senior

Hybrid • San Francisco, CA

501-1,000 employees

Chemical Manufacturing

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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.

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)
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
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
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
Drive the implementation of a 'single source of truth' for all critical data, integrating information across R&D, clinical, commercial, and medical functions
Leverage artificial intelligence and machine learning to enhance our data capabilities
Enable advanced analytics and business intelligence by implementing AI/ML solutions that automate data cleansing and governance workflows, detect data anomalies, and power predictive modeling for key business outcomes
Partner with departments across the entire organization to understand their data needs and pain points

Bachelor's degree in Computer Science, Data Science, Information Systems, or related field (Master's or PhD preferred)
7+ years of progressive experience in data strategy, data architecture, analytics, or related fields, with at least 5 years in a leadership role
Industry experience in biotech, pharmaceutical, or healthcare is highly preferred
Proven expertise in designing and managing modern data architectures and platforms
Hands-on knowledge of cloud-based data technologies (e.g. AWS, Azure, Databricks, Snowflake ecosystems)
Experience with business intelligence and analytics tools (e.g. Tableau, Power BI, Spark, Python/R for analytics) and AI/ML frameworks
In-depth understanding of data governance principles and best practices
Experience implementing data governance programs and working with data stewardship councils
Strong background in analytics - able to guide teams in advanced analytics and oversee the development of predictive models or AI-driven data products
Solid knowledge of data privacy and security regulations relevant to life sciences (such as HIPAA, GDPR, CCPA)
Demonstrated ability to ensure compliance in all data initiatives
Strategic thinker who can translate business strategy into effective data solutions
Outstanding communication skills - capable of articulating a vision and complex data concepts in simple terms to influence stakeholders at all levels
Strong cross-functional collaboration abilities to work effectively with commercial, scientific, IT, and compliance teams
Highly analytical and resourceful, with superior problem-solving abilities
Proven project management skills with the ability to oversee multiple initiatives and deliver results in a fast-paced environment
A drive for innovation and continuous improvement, with a 'roll-up-your-sleeves' attitude to tackle challenges
Genuine passion for leveraging data and emerging technologies, such as AI, to advance healthcare and patient outcomes

Market leading compensation
401K with 100% employer match on first 3% & 50% on the next 2%
Employee stock purchase program
Pre-tax commuter benefits
Referral program with $2,500 award for hired referrals
Comprehensive health care with 100% premiums covered - no cost to you and dependents
Mental health support via Spring Health (6 therapy sessions & 6 coaching sessions)
Hybrid work model - employees have the autonomy in where and how they do their work
Unlimited flexible paid time off - take the time that you need
Paid parental leave - 4 months for birthing parents & 2 months for non-birthing parents
Flex spending accounts & company-provided group term life & disability
Subsidized lunch via Forkable on days worked from our office
Skill development and career paths through regular feedback, continuous education and professional development programs

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