Executive Director, Portfolio Analytics & Systems Architecture

Role Summary:

The Executive Director, Portfolio Analytics & Systems Architecture is a strategic enterprise leader who reports into Portfolio Strategy & Operations and serves as the Operational Data and Technology Business Partner. The leader is responsible for designing, building, and scaling a state-of-the-art reporting, analytics, and insights capability across our clinical development portfolio, while architecting and leading the delivery of the operational data systems architecture that underpins it in partnership with the IT/Digital team. This role establishes a single source of truth for clinical study, program, and portfolio performance; delivers trusted time, cost, and quality insights; infuses AI across clinical study, program and portfolio processes and systems; and enables confident, data-driven decisions by study teams, functional leaders, governance bodies and executive team. As the corresponding IT Business Partner, the leader translates functional strategy into a coherent systems and data roadmap, designs enterprise data models, and works closely with IT/Digital counterparts to deliver, integrate, and sustain validated clinical systems. The leader will partner closely with R&D functions, such as Portfolio and Program Management, Clinical Operations, Biometrics, as well as 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 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

• Serve as the primary technology leader and business partner to Portfolio and Program Management and Clinical with a focus on data, portfolio and analytics systems, and clinical systems architecture and operations, building strong relationships with senior leadership and stakeholders to understand business objectives, priorities, and technology and process needs and gaps.
• 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.
• Serve as the primary IT liaison for Portfolio and Analytics teams and across clinical and R&D teams, translating business needs into actionable technology solutions.
• Lead the delivery, support, and continuous improvement of business technology platforms (e.g., Portfolio Management tools, clinical systems, and portfolio and analytics tools), ensuring they are robust and scalable.

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).
• Lead with Compliance and Trust—embedding regulatory compliance (e.g., GxP, GDPR) into every solution, safeguarding our data and maintaining Dyne’s reputation for integrity.
• Be a champion of innovation--Identifying emerging technologies that can elevate Dyne’s R&D capabilities and portfolio management and operational insights strategies.
• Bring forward ideas that challenge the status quo and deliver measurable business impact.

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
• 18+ 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

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