The Senior Manager, Marketing Analytics – Rheumatology will deliver analyses, insights, and recommendations that inform brand strategy, customer engagement, launch planning, and commercial execution. The individual will use advanced analytics, pharmaceutical data, and artificial intelligence tools to identify market opportunities, evaluate performance, automate analytical processes, and develop actionable recommendations for Marketing and Sales leadership.

The successful candidate must be able to translate complex information into a clear business narrative and communicate effectively with stakeholders at all levels of the organization.

Major Responsibilities

1. Rheumatology market analytics
   • Analyze physician, account, patient, payer, and competitive data across the rheumatology markets.
   • Evaluate national and subnational market performance, including patient starts, new-to-brand prescriptions, switches, persistence, adherence, fulfillment, and other relevant commercial metrics.
   • Identify emerging market trends, competitive dynamics, customer opportunities, and potential risks to brand performance.
   • Develop actionable recommendations to improve commercial execution and business performance.
2. Brand strategy and business partnership
   • Serve as a strategic analytics partner to the Marketing, Sales, Finance, Forecasting, Market Access, Patient Services, and other cross-functional stakeholders.
   • Partner with Marketing and Sales leadership to align analytics priorities with brand strategy and key business objectives.
   • Translate business questions into structured analytical plans and recommendations.
   • Develop clear narratives that connect analytical findings to strategic and tactical actions.
3. Promotional investment and omnichannel analytics
   • Develop fact-based promotional investment strategies using marketing mix modeling, business optimization, customer engagement analytics, and other advanced analytical methods.
   • Assess the effectiveness of personal and non-personal promotional channels.
   • Establish near-term key performance indicators and longer-term return-on-investment measurements.
   • Recommend opportunities to optimize channel mix, customer engagement, audience targeting, sequencing, and promotional investment.
4. Patient and customer analytics
   • Conduct patient journey, physician journey, account opportunity, segmentation, and targeting analyses.
   • Evaluate patient movement from treatment initiation through approval, fulfillment, continuation, switching, rejection, reversal, or abandonment.
   • Analyze physician and account behavior to identify opportunities for improved customer engagement.
   • Integrate multiple data sources to develop a comprehensive view of market dynamics.
5. Forecasting and financial planning
   • Support monthly estimates, annual operating plans, long-range plans, and other financial planning deliverables.
   • Partner with Forecasting and Finance to identify key business drivers and underlying assumptions.
   • Provide analytical inputs that improve forecast accuracy and explain changes in performance.
   • Evaluate the potential commercial impact of market events, competitive developments, label expansions, and new indications.
6. Advanced analytics and artificial intelligence
   • Apply advanced analytics, machine learning, generative AI, and automation to address critical commercial questions.
   • Use AI tools to accelerate data exploration, analytical development, quality control, insight generation, documentation, and visualization.
   • Develop reusable AI-enabled workflows that improve analytical speed, consistency, and efficiency.
   • Identify appropriate use cases for generative AI while following company requirements related to data privacy, information security, compliance, and responsible AI.
   • Evaluate AI-generated outputs for accuracy, completeness, bias, reproducibility, and business relevance.
7. Cross-functional integration and communication
   • Collaborate with cross-functional analytics partners to deliver integrated insights and recommendations.
   • Present analytical findings to Marketing, Sales, Finance, Forecasting, Market Access, Patient Services, and senior leadership.
   • Communicate complex analytical methods and findings in clear business language.
   • Influence decisions through strong analytical reasoning, business judgment, and effective storytelling.
8. Supplier and project management
   • Lead analytical projects from business-question development through implementation and final recommendations.
   • Manage external suppliers, consultants, offshore resources, and analytics partners.
   • Establish clear deliverables, timelines, quality standards, and validation processes.
   • Ensure analytical work fully leverages available data while meeting business, technical, financial, privacy, and compliance requirements.