Senior Director, Commercial Operations and Analytics

This is a fully remote position, open to applicants in United States.

📋 Description

• Develop and lead the commercial operations and analytics capabilities necessary to facilitate Capricor's expected U.S. launch of deramiocel, its primary cell therapy for Duchenne muscular dystrophy.

• Create and implement the commercial operations strategy, execution roadmap, and plan for launch readiness.

• Design efficient operating processes, governance frameworks, decision-support capabilities, workflows, system requirements, reporting solutions, and performance metrics.

• Provide executive leadership with updates, business insights, recommendations, and escalation of risks critical to the launch.

• Construct and manage Capricor's commercial data ecosystem, encompassing data acquisition, integration, storage, reporting, and business intelligence.

• Define the commercial data architecture and integration strategy across specialty pharmacy, distributors, hubs, patient services, claims, customer, and other data sources.

• Create dashboards, scorecards, analytical frameworks, and reports on field effectiveness.

• Implement and oversee the CRM platform, including configuration, data standards, targeting, segmentation, call planning, activity reporting, and field dashboards.

• Direct field force sizing, territory design and alignment, roster management, quota setting, and the design and administration of incentive compensation.

• Assist with field onboarding, training, communications, and execution of the launch.

• Establish data governance, master data management, data quality, access control, documentation standards, SOPs, work instructions, business rules, and controls.

• Ensure that commercial systems and reporting processes are dependable, scalable, validated, and compliant with privacy, security, legal, and regulatory requirements.

• Lead issue resolution, root-cause analysis, corrective actions, and initiatives for continuous improvement.

• Oversee vendor selection, RFP processes, contracting, implementation, budget management, service-level agreements, and business reviews.

• Build and guide a high-performing commercial operations team, focusing on workforce planning, hiring, onboarding, coaching, development, and performance management.

• Promote accountability, collaboration, analytical rigor, and disciplined execution.

⛳️ Requirements

• A Bachelor's degree is required.

• A minimum of 10 years of progressive experience in commercial operations, sales operations, analytics, forecasting, or a related area within the biotechnology or pharmaceutical industry, including significant leadership responsibilities.

• Proven experience in supporting a product launch, ideally in rare disease, specialty medicine, cell therapy, gene therapy, or another complex treatment setting.

• Extensive expertise in commercial analytics, forecasting, data integration, performance measurement, and field operations.

• Practical experience in acquiring and integrating commercial data and managing vendor-supported data ecosystems.

• Demonstrated experience in designing or implementing commercial data warehouses, master data management, business intelligence, and reporting capabilities.

• Familiarity with pharmaceutical data sources, including specialty pharmacy, distributor, hub, patient services, claims, customer, and patient-level data, as well as relevant privacy and data-use regulations.

• Experience with customer relationship management (CRM) platforms, field targeting and alignment, incentive compensation, and launch readiness reporting.

• Strong cross-functional leadership, vendor management, problem-solving, and decision-making abilities, coupled with the capacity to translate strategy into detailed execution.

• Exceptional written, verbal, and executive communication skills, with a keen attention to detail and documentation discipline.

• Experience with Veeva CRM, Salesforce, Power BI, Tableau, Snowflake, Databricks, or similar commercial data and analytics platforms is preferred.

• An advanced degree in analytics, data science, engineering, business, finance, or a related field is preferred.

🏝️ Benefits

• Comprehensive health insurance plans.

• Competitive salary and performance-based bonuses.

• Opportunities for professional development and career advancement.

• Flexible work arrangements and a supportive work environment.