Senior Technical Project Manager

RocheIndianapolis, IN
Onsite

About The Position

Join our Partnering Digital Solutions team, a strategic group focused on maximizing partnership impact through digital and AI-enabled ecosystems to advance the Pharma and DIA Partnering business. We are at the forefront of innovation - building scalable data infrastructure, applying advanced data engineering practices, and integrating cutting-edge external capabilities to accelerate decision-making and unlock business value. Our work spans across multiple high-impact initiatives, from developing intelligent data products to enabling end-to-end AI workflows. Whether it’s structuring complex data ecosystems or collaborating with external research institutions, this is a unique opportunity to help shape the future of data and AI at Roche by directly supporting key strategic decisions across our global Partnering organization.

Requirements

  • Bachelor’s or Master’s degree in Business, Engineering, Computer Science, or a related field.
  • 7+ years of experience in project or program management, preferably in technical or software development environments.
  • Proven experience managing complex, cross-functional technical projects.
  • Strong understanding of software development lifecycles, including Agile methodologies.
  • Experience working with engineering teams (data, backend, frontend, or AI/ML).
  • Excellent communication and stakeholder management skills.
  • Strong organizational and problem-solving abilities, with attention to detail.

Nice To Haves

  • Experience managing projects involving data engineering, AI/ML, or cloud-based platforms (AWS).
  • Familiarity with APIs, system integrations, and modern application architectures.
  • Understanding of AI/ML workflows, including LLMs or agent-based systems.
  • Experience in healthcare, life sciences, or partnering/business development domains.
  • Certification in project management methodologies (e.g., PMP, Scrum Master).
  • Experience working in Agile or hybrid Agile environments.

Responsibilities

  • Lead end-to-end delivery of complex technical projects, including AI applications, data platforms, and integration initiatives.
  • Define scope, timelines, milestones, and deliverables to ensure successful execution.
  • Partner with data engineers, AI/ML engineers, and full-stack developers to coordinate work across multiple technical workstreams, including data pipelines, agentic AI systems, and frontend applications.
  • Act as the primary point of contact for stakeholders, ensuring clear communication of project status, risks, and dependencies.
  • Translate technical concepts into business-friendly language to support decision-making.
  • Facilitate Agile ceremonies (e.g., sprint planning, stand-ups, retrospectives) and ensure teams are operating efficiently.
  • Remove blockers and enable teams to deliver high-quality outcomes.
  • Proactively identify risks, manage cross-team dependencies, and implement mitigation strategies to ensure project success in a complex, fast-moving environment.
  • Develop a strong understanding of the team’s technical landscape (e.g., AWS, data platforms, APIs, AI/agent frameworks) to effectively support planning, prioritization, and execution.
  • Coordinate across internal teams and external partners to align priorities, manage deliverables, and ensure seamless integration of solutions.
  • Establish and maintain project governance frameworks, including tracking of KPIs, timelines, and deliverables.
  • Provide regular updates to leadership and ensure alignment with strategic objectives.
  • Drive improvements in project delivery processes, tools, and best practices to enhance efficiency and effectiveness across the team.

Benefits

  • A discretionary annual bonus may be available based on individual and Company performance.
  • Benefits detailed at the link provided below.
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