Responsibilities

• Development and execution of NSCLC customer engagement and non-personal channel strategy
• Lead for development of the NSCLC non-personal promotion strategy, tactical plans and outputs, data triggers, and budgets
• Responsible for creating downstream field-based materials and selected original field-based pieces as identified and needed
• Vendor Management including digital and/or non-personal communications (e-blasts, Rep Triggered emails, CRM, banner ads, etc)
• Non-personal and field team integration planning, as well as point for field communications
• Responsible for collection and reconciliation of budget with HCP and Scientific marketing leads monthly
• Coordination with other indication teams for brand level personal/non-personal and customer engagement strategy, planning, and execution
• Marketing operations for the team including Veeva CRM platform management, print and digital inventory management, and meeting management
• Partner and collaborate with Sales Training to ensure adequate communication and training for the field team on key initiatives
• Work with agency for label updates/new launches for HCP promotional materials including website

Requirements

• Bachelor's degree required; MBA preferred
• 10+ years of progressive experience in the pharmaceutical/biotech industry
• 8+ years of U.S. commercial experience in pharmaceutical/biotech marketing, product management, or related areas
• Field experience is preferred
• Demonstrated ability to work effectively and efficiently with team members, and across departments, to ensure consistency and collaboration with strategy
• Strong project and process skills with attention to detail
• Must be proactive and able to prioritize and operate in fast paced environment
• Experience with media planning and creation, developing digital customer engagement and digital engagement plans preferred
• Good problem-solving ability with strong interpersonal skills both internally and externally
• Ability to grasp complex scientific concepts and clinical data