Delivery (RnD) Manager

Who we are:

Adaptiq is a technology hub specializing in building, scaling, and supporting R&D teams for high-end, fast-growing product companies in a wide range of industries.

About the Product:

Our platform is a cloud-based AI-driven workspace that automates statistical analysis validation and generation for clinical research. It serves large pharmaceutical and biotech clients by extracting, validating, and producing complex tabular outputs and regulatory deliverables. 

The system handles high volumes of hierarchical tables, figures and listings, applying both classical and generative NLP to accelerate review cycles, reduce manual double-programming and maintain a full audit trail. 

About the Role:

The R&D Manager leads multidisciplinary engineering teams across Software Development, Data Engineering, and Data Science. This role is responsible for driving execution of the R&D roadmap, setting clear priorities, and ensuring consistent, predictable delivery. The ideal candidate brings strong experience managing engineering or R&D teams, understands modern development practices, and works closely with Product to align efforts with business goals. While deep technical expertise is not required, a solid understanding of R&D workflows is essential.

Key Responsibilities:

Team Leadership

• Manage daily operations and workload distribution across software, data engineering, data science and testing/DevOps teams.
• Offer coaching, regular feedback and professional development support to team leads.

Delivery Roadmap Execution

• Lead planning and execution of R&D initiatives and roadmap in alignment with product goals.
• Provide structured status updates and visibility to the CTO and senior leadership.
• Track progress against milestones, identify risks early, and drive timely issue resolution.

Process Operation Excellence

• Coordinate all release-related compliance activities, including documentation, sign-offs and audit readiness.
• Ensure effective R&D processes are in place and optimized: e.g. sprint planning, backlog prioritization, and roadmap execution in alignment with product goals.
• Maintain accurate documentation and ensure adherence to internal standards and best practices.

Cross-functional Collaboration

• Facilitate cross-functional collaboration with Product, QA, DevOps, Customer Success and Data Operations.

Required Competence and Skills:

• 6+ years of experience in software delivery or R&D management, including at least 2 years leading teams of team leads.
• Proven track record managing multidisciplinary engineering teams.
• Strong understanding of modern development processes: Agile/Scrum, sprint planning, backlog management and retrospectives.
• Hands-on experience coordinating release management and compliance.
• Excellent communication and stakeholder-management skills.
• Demonstrated ability to manage priorities, timelines and cross-team dependencies independently.
• Comfortable leading fully remote teams across European time zones and collaborating with global stakeholders.
• Capable of making tactical decisions, escalating strategically when required.

Nice to Have:

• Exposure to healthcare, life-sciences  industries.
• Experience with SaaS platforms or AI/data-intensive solutions in production environments.
• Background in software development, data engineering or data science roles.