Sr. Technical Program Manager

Structure Therapeutics•South San Francisco, CA

9d•Hybrid

About The Position

Structure Therapeutics is seeking a Sr. Technical Project / Program Manager to lead a portfolio of high-impact IT initiatives spanning R&D, G&A, and AI/Infrastructure platforms. This role is critical to enabling scientific innovation and enterprise scale by delivering complex, cross-functional programs with precision, transparency, and speed. Operating at the level expected in leading biotech organizations, this individual will drive end-to-end program execution, establish strong delivery governance, and ensure alignment between scientific, corporate, and technology priorities. This role requires a balance of deep program management discipline, technical fluency, and AI-forward thinking, with a strong focus on execution excellence and executive communication.

Requirements

7+ years of experience in technical project/program management, preferably within biotech, pharma, or regulated environments
Proven success delivering complex, cross-functional IT programs supporting R&D and enterprise functions
Experience working in environments comparable to other biopharma
Strong track record of managing enterprise-scale initiatives and executive stakeholders
Strong understanding of Software Development Lifecycle (SDLC)
Strong understanding of Agile, Waterfall, and hybrid delivery models
Strong understanding of Cloud infrastructure (AWS/Azure/GCP)
Strong understanding of Data platforms and AI/ML ecosystems
Strong understanding of Enterprise applications (Finance, HR, collaboration tools)
Exceptional skills in project management, prioritization, and execution discipline
Strong experience with executive reporting and stakeholder communication
Ability to influence without authority and drive alignment across diverse teams
High degree of ownership, accountability, and attention to detail
Demonstrated AI literacy, including practical use of AI tools to enhance productivity, reporting, or delivery workflows
Interest in applying emerging technologies to improve IT and business outcomes
Bachelor’s degree in Computer Science, Engineering, or related field (Master’s preferred)

Nice To Haves

Familiarity with GxP, validation, and compliance requirements is a plus.
PMP, PgMP, Scrum, or equivalent certification preferred
Master’s degree preferred

Responsibilities

Lead end-to-end delivery of complex IT programs across: R&D systems (Clinical, Discovery, Preclinical), G&A systems (Finance, HR, Legal, collaboration tools), AI/ML and infrastructure platforms
Drive program planning, execution, and delivery across the full Software Development Lifecycle (SDLC)
Manage multiple concurrent initiatives with clear prioritization, resource alignment, and delivery accountability
Ensure delivery within scope, timeline, budget, and quality expectations
Apply strong expertise in Agile, Waterfall, and hybrid delivery models, selecting the right approach based on program needs
Establish structured project plans, milestones, and dependencies across technical and business teams
Proactively manage risks, issues, and interdependencies with a solutions-oriented mindset
Drive continuous improvement in delivery frameworks, tools, and operational rigor
Work closely with IT functions including Security, Infrastructure, Applications, Data/AI, and Enterprise Systems
Partner with business stakeholders across R&D and G&A to define requirements, align priorities, and drive adoption
Serve as the connective layer between engineering, architecture, and business teams to ensure cohesive execution
Coordinate internal teams and external vendors/partners
Own program governance, including steering committees, status reporting, and executive updates
Deliver clear, concise, and data-driven reporting on program health, risks, and outcomes
Translate complex technical initiatives into business-relevant insights for senior leadership
Drive decision-making through structured communication and escalation management
Lead and support initiatives involving AI/ML platforms, data infrastructure, and automation
Demonstrate AI literacy, leveraging modern AI tools to improve productivity and delivery outcomes
Partner with data and engineering teams to enable scalable, production-ready AI solutions
Contribute to building and scaling IT PMO capabilities, standards, and best practices
Champion consistency in project execution, documentation, and reporting
Mentor junior team members and promote a culture of accountability and continuous improvement