Senior Director, Portfolio Reporting & Analytics

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 and follow us on X LinkedInand Facebook.

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 Dynes 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 analyticsspanning descriptive to prescriptive (AI/ML)that improves predictability optimizes resources and accelerates medicines to patients.

This role is based in Waltham MA.

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 portfolioenabling 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 SkillsRequirements:

• Bachelors degree in quantitative or life sciences field (e.g. Statistics Data Science Engineering Operations Research Epidemiology Pharmacy Biology).
  Preferred: Masters 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 companys 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 Dynes Core Values
• Excitement about Dynes vision and mission

#LI-Onsite

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.

Dyne Therapeutics is an equal opportunity employer and will not discriminate against any employee or applicant on the basis of age color disability gender national origin race religion sexual orientation veteran status or any classification protected by federal state or local law.