Senior Technical Project Manager

At Roche you can show up as yourself, embraced for the unique qualities you bring. Our culture encourages personal expression, open dialogue, and genuine connections,  where you are valued, accepted and respected for who you are, allowing you to thrive both personally and professionally. This is how we aim to prevent, stop and cure diseases and ensure everyone has access to healthcare today and for generations to come. Join Roche, where every voice matters.

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.

The Opportunity:

As a Senior Technical Project Manager, you will lead the planning and execution of complex, cross-functional initiatives spanning data engineering, AI/ML, and application development. You will work closely with engineers, data scientists, and business stakeholders to ensure successful delivery of scalable, high-impact solutions.

You will bring strong project management expertise combined with technical understanding to effectively manage dependencies, mitigate risks, and drive alignment across teams operating in a highly technical environment.

You will be responsible for:

Key Responsibilities:

• Project Planning & Execution:

  • 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.

• Technical Program Coordination:

  • 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.

• Stakeholder Management & Communication:

  • 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.

• Agile Delivery & Team Enablement:

  • 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.

• Risk & Dependency Management:

  • Proactively identify risks, manage cross-team dependencies, and implement mitigation strategies to ensure project success in a complex, fast-moving environment.

• Technical Understanding & Alignment:

  • 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.

• Cross-functional Collaboration:

  • Coordinate across internal teams and external partners to align priorities, manage deliverables, and ensure seamless integration of solutions.

• Governance & Reporting:

  • Establish and maintain project governance frameworks, including tracking of KPIs, timelines, and deliverables. Provide regular updates to leadership and ensure alignment with strategic objectives.

• Continuous Improvement:

  • Drive improvements in project delivery processes, tools, and best practices to enhance efficiency and effectiveness across the team.

Who you are:

Basic Qualifications:

• 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.