Executive Director, Portfolio Analytics & Systems Architecture (AI/ML)

Location: Onsite in Waltham, Massachusetts, United States

Salary: $249,000–$305,000 USD annually

Company

hirify.global develops therapeutics for genetically driven neuromuscular diseases affecting muscle and the central nervous system, with clinical and preclinical programs in diseases including Duchenne muscular dystrophy and myotonic dystrophy type 1.

What you will do

• Design and scale an enterprise insights platform providing trusted reporting and analytics across clinical studies, programs, and the development portfolio.
• Establish a single source of truth by integrating operational, vendor, planning, budget, and actuals data with strong governance, lineage, quality, and access controls.
• Partner with IT/Digital to architect data lakes or warehouses, semantic layers, data products, portfolio systems, and validated clinical systems.
• Define clinical and portfolio KPIs, analytical methodologies, and performance frameworks covering timelines, costs, quality, enrollment, vendors, and milestones.
• Build predictive and prescriptive AI/ML capabilities for forecasting, simulation, scenario modeling, country and site selection, resource planning, and risk mitigation.
• Drive adoption of analytics in governance reviews, portfolio prioritization, study health checks, and operational decision-making while embedding GxP and GDPR compliance.

Requirements

• Bachelor’s degree in a quantitative or life sciences discipline such as statistics, data science, engineering, operations research, epidemiology, pharmacy, or biology.
• 18+ years of increasing responsibility in biopharma or biotech R&D, including 5+ years leading multidisciplinary teams.
• Proven experience building enterprise data and analytics platforms, single-source-of-truth solutions, and operational data models for R&D portfolios.
• Expertise in clinical development operations, portfolio and study KPIs, plan-versus-actual analysis, scenario modeling, forecasting, simulation, and optimization.
• Strong understanding of clinical development, GCP/GxP, data privacy, validation expectations, and clinical systems such as CTMS, EDC, eTMF, RTSM, safety, and eCOA.
• Executive presence, strong communication and decision-making skills, and the ability to influence senior stakeholders in a matrix organization.

Nice to have

• Master’s degree or PhD in data science, biostatistics, operations research, or a related discipline; MBA is a plus.
• Experience with country and site selection analytics, enrollment prediction, vendor performance analytics, data product management, metadata, master data management, and HR capacity planning.

Culture & Benefits

• Work with a cross-functional organization spanning Portfolio and Program Management, Clinical Operations, Biometrics, Commercial, Finance, HR, and IT/Digital.
• Operate in an environment emphasizing integrity, compliance, ethics, transparency, and data-driven decision-making.
• Contribute to a mission focused on improving outcomes for people living with genetically driven neuromuscular diseases.