Team Leader, Data Enablement – Access & Reimbursement

Key Responsibilities:

• Lead end-to-end project planning, resourcing, and delivery with clear timelines and high-quality outcomes.
• Partner with stakeholders to translate business needs into actionable data strategies and solutions.
• Drive data enablement for access and reimbursement analytics across launches and lifecycle management.
• Design and implement innovative, value-driven data solutions with strong accuracy and compliance.
• Analyze payer policies and reimbursement trends to generate actionable insights and recommendations.
• Collaborate cross-functionally (NPS, Market Access, Commercial) to align and execute data strategies.
• Manage vendor relationships, including data acquisition, integration, and quality oversight.
• Proactively identify resource gaps, risks, and improvement opportunities to optimize delivery.
• Lead and develop a high-performing team, fostering collaboration and best practice sharing.
• Monitor impact of initiatives and communicate performance, insights, and continuous improvement actions.

Essential Requirements:

• Bachelor’s degree in Engineering, Data Science, Business, Marketing, or a related field; advanced degree a plus.
• At least 9 years of experience in the pharmaceutical or healthcare industry, with focus in Patient Assistance Programs, Patient Services, Market Access, and data enablement.
• Demonstrated team leadership experience, with the ability to guide, support, and develop team members while working closely with cross-functional partners.
• Strong understanding of the patient journey, including consent management (HIPAA, TCPA), with experience supporting HUB and Specialty Pharmacy services.
• Hands-on experience in data analytics, reporting, and operational problem-solving, with the ability to turn insights into practical solutions.
• Solid analytical and technical skills, with experience working with complex data sets to inform decisions and improve performance.
• Experience with modern data tools and platforms (e.g., Databricks, Dataiku, SQL, Snowflake, AWS, AI tools such as Copilot), and familiarity with data management best practices.
• Strong project and operations management skills, including experience working in Agile and/or Waterfall environments (e.g., Scrum, Kanban), with the ability to manage multiple priorities in a fast-paced, collaborative, and global setting.

Desirable Requirements:

• Work experience in Market Access, Payer, and Channel strategy is highly desired.
• Strong data engineering skills are highly appreciated.