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Octapharma

Group Senior Manager – Data & AI

Octapharma

. Own and drive the Group Data & AI portfolio, prioritizing investments and scaling successful solutions across Octapharma .

Posted 11/11/2026full-timeLachen • SwitzerlandSeniorWebsite

Core Competencies

Role fit
Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in defining and executing enterprise data and AI strategies, with a strong focus on data architecture, governance, and the adoption of generative AI technologies. Proven leadership in managing technical teams and collaborating with stakeholders to drive high-value data and analytics initiatives.

Highest-signal resume keywords
Data ArchitectureGenerative AI SolutionsEnterprise Data StrategyStakeholder ManagementCloud-Based Data Platforms

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills
Data EngineeringData ModellingMachine LearningAI TechnologiesData Integration
Soft Skills
LeadershipCommunicationInterpersonal SkillsCollaborationProblem-Solving
Tools & Technologies
Azure DatabricksPower BIPythonGitHubChatGPT
Industry Keywords
Data GovernanceData AnalyticsEnterprise Technology PlatformsScalabilitySecurity

Tech Stack

Tools & technologies
AzureCloudPython

About the role

Key responsibilities & impact
  • Own and drive the Group Data & AI portfolio, prioritizing investments and scaling successful solutions across Octapharma
  • Lead the Group AI Committee and drive alignment on AI strategy, governance and priorities
  • Drive practical adoption of generative and agentic AI through secure, scalable solutions
  • Lead and develop the Group Data & AI team, providing strategic direction, coaching and guidance
  • Define and drive the group-wide data and AI strategy
  • Evolve the enterprise data platform, data architecture and governance frameworks
  • Partner with business leaders and stakeholders to identify, prioritize and deliver high-value data, analytics and AI use cases
  • Build internal capabilities through training, knowledge sharing and communities of practice
  • Lead the introduction and scaling of generative AI and agentic AI solutions into production services
  • Manage strategic technology partnerships, external service providers and vendors
  • Collaborate with business stakeholders, IT teams and external partners
  • Report directly to the Group Senior Director Business Applications

Requirements

What you’ll need
  • Bachelor's or master's degree in Computer Science, Information Technology, Data Science, Engineering or a related field
  • Significant experience in data architecture, data engineering, analytics or AI
  • Demonstrated leadership experience managing technical teams and working across matrix organizations
  • Proven experience defining and executing enterprise data and AI strategies
  • Strong understanding of modern cloud-based data platforms and architectures, including data integration, data engineering, data modelling, governance and platform operations
  • Ideally, hands-on experience with Databricks
  • Solid knowledge of machine learning, generative AI and emerging agentic AI technologies
  • Familiarity with Azure Databricks, Power BI, Python, GitHub and enterprise generative AI platforms, including ChatGPT
  • Experience managing enterprise technology platforms, including security, scalability, reliability, cost optimization and collaboration with external technology partners
  • Demonstrated ability to drive organizational adoption and change, build communities of practice and enable business users to leverage data and AI technologies effectively
  • Strong business acumen and stakeholder management skills
  • Excellent communication, interpersonal and people leadership skills
  • Ability to work in a collaborative, pragmatic and solution-oriented manner
  • Application must be submitted in English

Benefits

Comp & perks
  • Market-related salary and benefits package
  • High level of influence to make a difference and leave your footprint
  • Work with skilled and fun colleagues in a relatively informal organization
  • Internal and external employee and leadership trainings
  • Trainee programs
  • Digital solutions for skills development
  • Equal opportunities employer