Senior Director, Portfolio Reporting & Analytics

Company Overview

Dyne Therapeutics is focused on delivering functional improvement for people living with genetically driven neuromuscular diseases. We are developing therapeutics that target muscle and the central nervous system (CNS) to address the root cause of disease. The company is advancing clinical programs for Duchenne muscular dystrophy (DMD) and myotonic dystrophy type 1 (DM1) as well as preclinical programs for facioscapulohumeral muscular dystrophy (FSHD) and Pompe disease.

At Dyne, we are on a mission to deliver functional improvement for individuals, families and communities.

The Senior Director, Portfolio Reporting & Analytics is a strategic enterprise leader responsible for designing, building, and scaling a state‑of‑the‑art reporting, analytics, and insights capability across our clinical development portfolio. This role establishes a single source of truth for study, program, and portfolio performance; delivers trusted time, cost, and quality insights; and enables confident, data‑driven decisions by study teams, functional leaders, Governance, Dyne’s Executive Committee and Board.

The leader will partner closely with R&D, Clinical Operations, Biometrics, Commercial, Finance, HR/Workforce Planning, and IT/Digital to implement a modern operational data infrastructure and advanced analytics—spanning descriptive to prescriptive (AI/ML)—that improves predictability, optimizes resources, and accelerates medicines to patients. This role is based in Waltham, MA.

• Design, define, and advance a next‑generation clinical and portfolio insights platform that delivers trusted, real‑time reporting and analytics across studies, programs, and the portfolio—enabling monitoring of time, cost, and quality and supporting decision‑making from study and program teams to the Executive Committee and Board.
• Establish and govern one “source of truth” by integrating internal and external operational data (e.g., CROs and vendor feeds, benchmarking sources) into a harmonized model with robust data quality, lineage, and access controls.
• Architect a centralized operational data infrastructure (e.g., data lake/warehouse, semantic layer, data products) that powers consistent analytics and self‑service business intelligence.
• Integrate operational planning data (study/program plans, budgets, baselines) with actuals to enable accurate planned vs. actual comparisons for timelines and costs.
• Implement scalable operational data governance (metadata, master data, standards) aligned with R&D operating models and GxP expectations.
• Develop streamlined, standard analytical frameworks and methodologies (definitions, metric specifications, visualization standards) to drive consistency and comparability across the organization.
• Define and operationalize clinical study, program, and portfolio KPIs (e.g., cycle times, site activation and enrollment velocity, budget adherence, deviation/quality indicators, vendor performance, milestone attainment) and performance analytics.
• Lead the creation of advanced analytics and simulation capabilities to predict and optimize development timelines, costs, and risks (e.g., slippage forecasting, patient enrollment trajectories, budget risks, operational risks) including evaluation of operational implications.
• Design and deploy prescriptive analytics powered by AI/ML that anticipate study, program, and portfolio‑level challenges and provide actionable recommendations (e.g., mitigation strategies, scenario trade‑offs, risk flags, next‑best actions).
• Enable portfolio‑wide scenario modeling and resource planning, supporting governance decision‑making (e.g., start/stop/sequence, trade‑offs, capacity constraints and resource supply).
• Develop predictive country and site selection analytics to optimize trial delivery (start‑up speed, enrollment yield, data quality, cost) and inform feasibility and country footprint decisions.
• Establish a study‑level insights platform that leverages structured operational data to provide site‑ and PI‑level insights (enrollment health, quality, cost, competitive trial density) to study teams and vendor partners.
• Design and…