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.
Primary Responsibilities Include:

Enterprise Data & Insights Strategy

• 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

Data Foundation & Technology Enablement

• 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

Analytics, KPIs & Methodologies

• 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

AI-Enabled Prescriptive Insights

• 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)

Country/Site Intelligence & Study Delivery

• 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

Resource Management & Capacity Planning

• 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

Operating Model, Change & Adoption

• Drive change management and adoption of new analytics capabilities, ensuring insights are embedded in business rhythms (governance reviews, QBRs, portfolio prioritization, study health checks)

Education and Skills Requirements:

• Bachelor's degree in quantitative or life sciences field (e.g., Statistics, Data Science, Engineering, Operations Research, Epidemiology, Pharmacy, Biology).
  Preferred: Master's or PhD in Data Science, Biostatistics, Operations Research, or related discipline; MBA a plus
• 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
• As 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
• 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

MA Pay Range

$233,000-$285,000 USD

The pay range reflects the base pay range Dyne reasonably expects to pay for this role at the time of posting. Individual compensation depends on factors such as education, experience, job-related knowledge, and demonstrated skills.

The statements contained herein reflect general details as necessary to describe the principles functions for this job, the level of knowledge and skill typically required, and the scope of responsibility, but should not be considered an all-inclusive listing of work requirements. Individuals may perform other duties as assigned, including work in other functional areas to cover absences or relief, to equalize peak work periods or otherwise balance workload.