Senior Director, Portfolio Reporting & Analytics
Dyne Therapeutics
June 27, 2026
Remote friendly (Waltham, MA)
United States
Corporate Functions
Primary Responsibilities
- Design, define, and scale a clinical and portfolio reporting/analytics platform delivering trusted, real-time insights across studies, programs, and portfolio.
- Establish and govern a single “source of truth” integrating internal and external operational data with data quality, lineage, and access controls.
- Architect centralized operational data infrastructure (data lake/warehouse, semantic layer, data products) with self-service BI.
- Integrate planning vs. actuals to support accurate timeline/cost comparisons.
- Implement scalable operational data governance aligned with GxP expectations.
- Develop standard KPI definitions and analytical frameworks (e.g., cycle times, site activation/enrollment velocity, budget adherence, quality/deviation indicators, vendor performance, milestone attainment).
- Build advanced forecasting/simulation/optimization to predict and optimize timelines, costs, and risks.
- Design/deploy AI/ML prescriptive analytics for actionable recommendations and scenario modeling.
- Develop predictive country/site selection analytics and site/PI-level study insights.
- Institutionalize resource management and capacity planning (demand vs. actuals; bottlenecks for scarce skills/roles) in partnership with HR.
- Drive change management and embed insights into governance and operating rhythms.
Qualifications / Skills
- BS in quantitative or life sciences; preferred MS/PhD (Data Science, Biostatistics, Ops Research). MBA a plus.
- 15+ years in biopharma/biotech R&D (clinical ops analytics/portfolio/development ops); 5+ years leading multi-disciplinary teams.
- Proven enterprise analytics/data platform leadership; strong KPI, plan-vs-actual, and scenario modeling expertise.
- Hands-on advanced analytics/ML (forecasting, simulation, optimization) translating models into decision tools.
- Strong clinical development lifecycle knowledge; familiarity with GCP/GxP, data privacy, and validation expectations.
- Executive influence, clear communication, and ability to influence without authority.
MA Pay Range: $233,000–$285,000 USD.
- Design, define, and scale a clinical and portfolio reporting/analytics platform delivering trusted, real-time insights across studies, programs, and portfolio.
- Establish and govern a single “source of truth” integrating internal and external operational data with data quality, lineage, and access controls.
- Architect centralized operational data infrastructure (data lake/warehouse, semantic layer, data products) with self-service BI.
- Integrate planning vs. actuals to support accurate timeline/cost comparisons.
- Implement scalable operational data governance aligned with GxP expectations.
- Develop standard KPI definitions and analytical frameworks (e.g., cycle times, site activation/enrollment velocity, budget adherence, quality/deviation indicators, vendor performance, milestone attainment).
- Build advanced forecasting/simulation/optimization to predict and optimize timelines, costs, and risks.
- Design/deploy AI/ML prescriptive analytics for actionable recommendations and scenario modeling.
- Develop predictive country/site selection analytics and site/PI-level study insights.
- Institutionalize resource management and capacity planning (demand vs. actuals; bottlenecks for scarce skills/roles) in partnership with HR.
- Drive change management and embed insights into governance and operating rhythms.
Qualifications / Skills
- BS in quantitative or life sciences; preferred MS/PhD (Data Science, Biostatistics, Ops Research). MBA a plus.
- 15+ years in biopharma/biotech R&D (clinical ops analytics/portfolio/development ops); 5+ years leading multi-disciplinary teams.
- Proven enterprise analytics/data platform leadership; strong KPI, plan-vs-actual, and scenario modeling expertise.
- Hands-on advanced analytics/ML (forecasting, simulation, optimization) translating models into decision tools.
- Strong clinical development lifecycle knowledge; familiarity with GCP/GxP, data privacy, and validation expectations.
- Executive influence, clear communication, and ability to influence without authority.
MA Pay Range: $233,000–$285,000 USD.