Associate Director, Data Systems

About the Role

Key Responsibilities

• Leads design and optimization of scalable data architecture to support growth across new therapeutic areas or markets.
• Develops and implements a comprehensive data management strategy aligned with commercial objectives.
• Leads Master Data Management (MDM) initiatives, ensuring accuracy and governance of HCP, HCO, payer, and master data.
• Standardizes data definitions, business rules, and stewardship processes to maintain high-quality commercial data.
• Establishes data governance policies and compliance frameworks to maintain data integrity and security (HIPAA, GDPR).
• Partners with Advanced Analytics, Marketing, Market Access, and Sales teams to operationalize use cases and drive insights.
• Establishes and enforces vendor governance models to ensure SLA adherence and timely change execution.
• Leads cross-functional projects to enhance analytics capabilities such as HCP segmentation, payer analytics, promotional effectiveness, and omnichannel marketing.
• Manages commercial datasets including IQVIA, Symphony, MMIT Managed Care, HUB, Specialty Pharmacy, and Distributor data.
• Ensures data consistency and accuracy across commercial functions (Sales, Marketing, Market Access).
• Drives standardization and documentation of data pipelines.
• Oversees DWH/ETL/Reporting tools and evaluates new data sources, tools, and automation for commercial analytics.
• Serves as a liaison among IT, Advanced Analytics, and Commercial Operations.

Requirements

• Bachelor's or Master's degree in Computer Science, Data Analytics, Business Intelligence, or a related field.
• 4+ years' experience in data management, MDM, and commercial analytics within biotech, pharma, or life sciences industries.
• Experience with commercial datasets, including syndicated data, market access, and sales analytics.
• Understanding of MDM principles and experience managing HCP, HCO, payer, and product master data.
• Experience collaborating with global teams and managing cross-regional data integration and reporting.
• Experience in enterprise data warehousing, ETL processes, and cloud platforms such as Snowflake, Databricks, AWS.
• Proficiency with BI tools (Power BI, Tableau) and programming languages (SQL, Python, R).
• Understanding of commercial pharma operations, data automation, and AI-driven analytics.
• Strong collaboration, communication, and stakeholder management skills.
• Proven track record of leading cross-functional projects and managing vendors.

Nice to Have

• Experience with automation and AI-driven analytics in a biopharma setting.
• Knowledge of HIPAA and GDPR compliance frameworks.
• Experience with vendor governance and SLA management.

Qualifications

• Educational background in Computer Science, Data Analytics, Business Intelligence, or related fields.
• Minimum 4 years of relevant experience in data management and analytics within biotech, pharma, or life sciences.

Benefits & Perks

• Competitive compensation package including health and insurance benefits.
• Training and development opportunities.
• Performance-based bonus eligibility.
• Hybrid work environment with approximately 20% travel requirement.