Associate Director, Commercial Data Management

Role Summary

The Associate Director, Data Management leads strategic and execution across commercial data domains within US Decision Sciences / Data & Analytics, ensuring delivery of high-quality, analytics-ready data to support insights, reporting, and field execution at scale. This role owns complex cross-domain data initiatives, sets standards and best practices, and serves as a primary thought partner to Analytics, Reporting, Field Operations, IT, and senior stakeholders. It shapes the data management roadmap for 1-2 brands and drives continuous improvement across platforms, vendors, and processes.

Responsibilities

• Own strategy and execution for multiple commercial data domains, ensuring reliable, analytics-ready data delivery.
• Lead complex, cross-functional data initiatives that span analytics, reporting, field execution, and technology teams.
• Set data management standards, controls, and best practices to improve consistency, quality, and reuse.
• Oversee end-to-end data pipelines across sources, platforms, and vendors, ensuring scalability and sustainability.
• Translate ambiguous business and analytics needs into clear data solutions and execution plans.
• Partner closely with Analytics and Reporting leaders to shape data approaches aligned to evolving business priorities.
• Act as a senior escalation point for data quality, availability, and vendor-related issues; drive root-cause resolution.
• Guide IT and platform teams on data design decisions, tradeoffs, and sequencing.
• Evaluate vendor performance and influence roadmap decisions related to data onboarding, refresh cadence, and enhancements.
• Ensure robust documentation of data definitions, lineage, assumptions, and limitations across domains.
• Identify systemic data gaps and proactively propose pragmatic, forward-looking solutions.
• Mentor and provide informal leadership to managers and senior managers within Data Management.

Qualifications

• Required: Bachelor's degree in Data Sciences, Engineering, Information Systems, or a related field.
• Preferred: Master’s degree (MS, MBA, or equivalent).
• Required: Minimum of 10 years of experience in data management, analytics enablement, or related roles within biotech/pharma, healthcare, or consulting.
• Required: Experience in people leadership (supervising direct reports).
• Required: Deep experience with commercial data ecosystems (e.g., CRM, claims, Rx, specialty pharmacy, market and field data).
• Required: Proven ownership of large-scale, multi-source data pipelines and analytics-ready data assets.
• Required: Strong command of data quality frameworks, reconciliation methodologies, and governance practices.
• Required: Experience defining data standards, operating models, and repeatable processes.
• Required: Advanced working knowledge of SQL-based transformations and modern data platforms (e.g., Databricks, cloud data warehouses).
• Required: Demonstrated ability to partner effectively with IT, analytics, reporting, and external vendors at a senior level.
• Required: Excellent written and oral communication skills.
• Required: Ability to operate independently and take initiative.