Patient Analytics Senior Manager
Vertex Pharmaceuticals
6 months ago
Remote friendly (Boston, MA)
United States
IT
Key Duties and Responsibilities
- Define the patient support analytics strategy and quarterly roadmap, aligning priorities to business objectives and establishing clear decision paths.
- Own the measurement framework (KPIs, dashboards, and reporting standards) to monitor program effectiveness, operational performance, and patient experience.
- Utilize advanced statistical techniques, machine learning models, and data visualization tools (Tableau, Power BI) to inform strategic decisions.
- Partner with Patient Services, Marketing, and Commercial Operations to identify actionable insights that deliver a positive treatment experience.
- Present insights and recommendations to program and senior PSP leadership; influence data-driven decisions across cross-functional partners.
- Pilot and scale new analytical methodologies and visualization tools to improve insight quality, speed, and operational impact.
- Ensure compliance with HIPAA, data privacy regulations, and data governance standards.
- Partner with Data Engineering to define requirements and optimize data infrastructure (data warehouse, data lake) for scalable analytics.
- Manage external vendors and oversee data quality assurance for patient support analytics.
Knowledge and Skills (Required/Preferred)
- Critical thinker able to identify key trends, synthesize complex data, and translate findings into actionable recommendations.
- Advanced analytical expertise: Excel, SQL, Power BI; Python and Snowflake are a strong plus.
- Strong data storytelling and ability to communicate insights for decision-making.
- Proven ability to independently lead end-to-end analytics workstreams (problem definition through delivery, enablement, and adoption).
- Exceptional written and verbal communication; able to present clearly to cross-functional teams and senior PSP leadership.
- Highly flexible and comfortable navigating ambiguity.
- Domain expertise in kidney disease is a plus.
Education and Experience
- Bachelor’s degree in a quantitative discipline (e.g., Data Science, Statistics, Economics, Healthcare Analytics, or related field).
- Typically requires 6+ years of experience in pharma/biotech analytics (or equivalent), focused on patient support, commercial analytics, forecasting, and/or commercial operations.
- Strong experience owning cross-functional analytics initiatives with measurable business impact.
- Define the patient support analytics strategy and quarterly roadmap, aligning priorities to business objectives and establishing clear decision paths.
- Own the measurement framework (KPIs, dashboards, and reporting standards) to monitor program effectiveness, operational performance, and patient experience.
- Utilize advanced statistical techniques, machine learning models, and data visualization tools (Tableau, Power BI) to inform strategic decisions.
- Partner with Patient Services, Marketing, and Commercial Operations to identify actionable insights that deliver a positive treatment experience.
- Present insights and recommendations to program and senior PSP leadership; influence data-driven decisions across cross-functional partners.
- Pilot and scale new analytical methodologies and visualization tools to improve insight quality, speed, and operational impact.
- Ensure compliance with HIPAA, data privacy regulations, and data governance standards.
- Partner with Data Engineering to define requirements and optimize data infrastructure (data warehouse, data lake) for scalable analytics.
- Manage external vendors and oversee data quality assurance for patient support analytics.
Knowledge and Skills (Required/Preferred)
- Critical thinker able to identify key trends, synthesize complex data, and translate findings into actionable recommendations.
- Advanced analytical expertise: Excel, SQL, Power BI; Python and Snowflake are a strong plus.
- Strong data storytelling and ability to communicate insights for decision-making.
- Proven ability to independently lead end-to-end analytics workstreams (problem definition through delivery, enablement, and adoption).
- Exceptional written and verbal communication; able to present clearly to cross-functional teams and senior PSP leadership.
- Highly flexible and comfortable navigating ambiguity.
- Domain expertise in kidney disease is a plus.
Education and Experience
- Bachelor’s degree in a quantitative discipline (e.g., Data Science, Statistics, Economics, Healthcare Analytics, or related field).
- Typically requires 6+ years of experience in pharma/biotech analytics (or equivalent), focused on patient support, commercial analytics, forecasting, and/or commercial operations.
- Strong experience owning cross-functional analytics initiatives with measurable business impact.