The Opportunity
Reporting into the Head of the Technology Office, the Director will help shape and implement our AI Platform, ensuring the solution is scalable, secure, and aligned with our goals.
The Role
Technical Expertise
- Experience with AI/ML: Develop and implement AI/ML models and algorithms using advanced principles, architectures, and frameworks. Use proficiency in popular programming languages and libraries to lead AI development projects.
- Experience with AI platforms and products: Design, develop, or manage AI platforms, including cloud-based platforms like AWS, Azure, or Google with large and small language models (open and closed).
- Data engineering skills: Develop data pipelines, implement data processing techniques, and manage data storage solutions for AI workloads.
- Software engineering best practices: Use software development lifecycle, DEVOPS, and testing methodologies to ensure scalable AI solutions.
Leadership & Management
- Strategic thinking: Align AI programs with overarching team goals and translate them into relevant roadmaps.
- Team building and mentorship: Build and direct AI teams, promote a culture of innovation and learning.
- Cross-functional collaboration: Collaborate with partners and leaders across different areas of the business.
- Project management: Manage partners, deliver AI projects on time and within budget, manage resources and risks.
Strategic Vision
- Industry awareness: Stay informed about the latest trends and advancements in AI technology, identify potential opportunities and threats.
- Storytelling: You will explain vision and journey in a captivating manner.
- Innovation focus: Encourage experimentation and exploration of the latest AI techniques to lead competitive advantage.
- Ethical considerations: With your understanding of the ethical possible effects of AI, ensure responsible and fair AI development and deployment.
- Champion AI, its potential, and our roadmap with all partners.
- Research, stay up to date with the latest advancements in AI and machine learning.
- Communicate complex AI concepts to create solutions with non-technical colleagues to lead awareness, adoption, and excitement.
Vendor Management:
- Responsible for contractual ownership for AI technology providers.
- Manage vendor relationships and ensure service levels and contractual obligations are met.
Financial Management:
- Responsible for $10million+ AI & cloud platform budget
Team Leadership:
- Lead a high-performing team of IT professionals.
- Foster a culture of innovation, collaboration, and continuous improvement.
Your Skills and Experience
- Undergraduate degree in computer science, computer engineering, information technology, mathematics, or equivalent
- Master's degree and related certifications desirable
- 10+ years' relevant IT experience
- 4+ years' managerial experience and/or demonstrated leadership experience.
- Experience managing IT projects within a global environment.
- Pharma/Biotech or similarly regulated environment experience desirable.
- Background in solution architecture, with a focus on cloud technologies such as AWS, Azure, and Google Cloud Platform.
- Deep Technical Knowledge: Cloud-native architecture and best practices, especially around containers (Dockers, Kubernetes), APIs, Agile Methodology and CI/CD.
- Data Engineering and Big Data Technologies: Proficiency in frameworks such as batch processing, stream processing using tools like Apache Spark, Databricks etc.
- MLOps and AI Model, & Solution Lifecycle Management: Experience with the entire lifecycle of data products and solutions.
- Platform Architectures: Experience with different platform architectures and data innovations such as data meshes, data warehouses, data lakes and data lakehouses.
- Track record in designing and implementing Enterprise-Scale AI Platforms.
- Regulatory Compliance: Familiarity with regulatory compliance in the pharmaceutical industry (HIPAA, GxP, GDPR)
- Data Governance and Compliance: Experience implementing data governance, compliance, and master data management practices.
- Experience with different data structures and data systems in big enterprise software such as ERP, CRM, LIMS etc.
- Use software development lifecycles, (DEVOPS OR DEVSECOPS) and testing methodologies to ensure scalable AI Solutions.
- Engage with all kinds of partners, technical and non-technical.
- Demonstrated experience implementing integrated roadmaps for cloud platforms.
- Demonstrated experience working with LLM models.
- DevOps experience and ML/AI engineering a plus.
The expected base salary range for this position at hiring is $190,000 - $260,000. Please note this salary range reflects the minimum and maximum base pay that CSL expects to pay for this position at the listed location as of the time of this posting. Individual base salary for a successful candidate is determined by qualifications, skill level, experience, competencies, and other relevant factors. In addition to base salary, total compensation for this role may also include incentive compensation and equity.
Our Benefits
CSL employees that work at least 30 hours per week are eligible for benefits effective day 1. We are committed to the wellbeing of our employees and their loved ones. CSL offers resources and benefits, from health care to financial protection, so you can focus on doing work that matters. Our benefits are designed to support the needs of our employees at every stage of their life. Whether you are considering starting a family, need help paying for emergency back up care or summer camp, looking for mental health resources, planning for your financial future, or supporting your favorite charity with a matching contribution, CSL has many benefits to help achieve your goals.
Please take the time to review our benefits site to see what’s available to you as a CSL employee.
About CSL Behring
CSL Behring is a global leader in developing and delivering high-quality medicines that treat people with rare and serious diseases. Our treatments offer promise for people in more than 100 countries living with conditions in the immunology, hematology, cardiovascular and metabolic, respiratory, and transplant therapeutic areas. Learn more about CSL Behring.
We want CSL to reflect the world around us
As a global organization with employees in 35+ countries, CSL embraces diversity and inclusion. Learn more about Diversity & Inclusion at CSL.