Senior Director, Portfolio Reporting & Analytics

Dyne Therapeutics•Waltham, MA

8h•Onsite

About The Position

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 a 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. Learn more at https://www.dyne-tx.com/, and follow us on X, LinkedIn and Facebook. Role Summary: 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.

Requirements

Bachelor’s degree in quantitative or life sciences field (e.g., Statistics, Data Science, Engineering, Operations Research, Epidemiology, Pharmacy, Biology).
15+ years of increasing responsibility in biopharma/biotech R&D with a focus on clinical operations analytics, portfolio management, or development operations, including 5+ years leading multi-disciplinary teams
Proven track record building enterprise data & analytics platforms and single source of truth solutions for R&D portfolios, integrating internal and external/vendor data (e.g., CRO feeds, benchmarks)
Demonstrated expertise with portfolio, program, and study KPIs, operational planning and plan vs. actual analysis, and scenario modeling for timelines, costs, risks, and resources
Hands-on experience with advanced analytics/ML (forecasting, simulation, optimization) and turning algorithms into operational tools that drive business decisions
Strong understanding of the clinical development lifecycle, including feasibility, site activation, enrollment, data management, monitoring, and close-out; familiarity with GCP/GxP, data privacy, and validation expectations for decision-support tools
Executive presence with the ability to influence senior stakeholders (Governance/EC), translate complex analytics into clear narratives, and drive enterprise alignment
Collaborative corporate leader who partners effectively with other senior leaders to advance the company’s mission and portfolio
Exceptional ability to influence without direct authority across all organizational levels, including senior functional leaders
Exceptional verbal and written communication skills, with the ability to convey complex information clearly to diverse audiences (written, verbal and presentation)
Ability to interpret and communicate complex data to diverse audiences
Excellent team player
Strong decision maker
Ability to work in a matrix environment
Ability to work independently as a hands-on manager, proactively contribute as a resource when necessary
Flexibility to adapt and meet the changing/growing needs of our customers
High level of integrity, compliance, ethics, and transparency
Positive team member who embodies Dyne’s Core Values
Excitement about Dyne’s vision and mission

Nice To Haves

Master’s or PhD in Data Science, Biostatistics, Operations Research, or related discipline; MBA a plus
experience with site/country selection analytics, enrollment prediction, and vendor performance analytics
Familiarity with R&D systems (e.g., CTMS, EDC, eTMF, RTSM, safety, eCOA), portfolio/financial planning (e.g., enterprise planning tools), and HR capacity planning
Background in data governance (metadata, MDM), data product management, and adoption at scale

Responsibilities

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
In close partnership with IT/Digital, 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 institutionalize an integrated resource management capability that dynamically analyzes resource demand vs. actuals across the portfolio; predicts AI-enabled resource demand; and highlights capacity bottlenecks for scarce skills/roles in close partnership with HR and functional leaders
Drive change management and adoption of new analytics capabilities, ensuring insights are embedded in business rhythms (governance reviews, QBRs, portfolio prioritization, study health checks)