Data Analysis Team Lead

[…] is an AI-native Intelligent Experiences Enabler for life sciences, helping pharma and biotech organizations move from fragmented content operations to connected, compliant, and measurable omnichannel engagement with HCPs and patients. By combining proprietary technology — eWizard, eVa, Kheiron, and Lexi — with agentic AI and strategic consulting, we support the full content lifecycle: from creation and MLR validation to localization and omnichannel publishing. Our clients include Top 50 life sciences, pharma, biotech, and medtech companies around the globe.

• • Turn ad-hoc work into a clear, documented and measured delivery process.
• • Grow the team's seniority through clear grades, development plans and mentoring.
• • Make sure every result is validated and answers the right business question before it reaches stakeholders.
• • Bring engineering practices to industry standard: version control, code review, CI/CD and automated data tests for all data work.
• • Make AI a safe, everyday tool of the team.
• • Evolve the data platform architecture and take on the hardest technical problems.

• Assessment and roadmap:
• • Audit the team, its processes and the data platform; find bottlenecks and improvement steps.
• • Build a roadmap of changes (what we try, adopt or drop) with quick wins and measurable targets; agree it with management and review it regularly.
• Processes and their control:
• • Define an