Director - Gen AI Core Platform Owner

November 5

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CSL

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Complex biologicals • vaccines • plasma and plasma derived therapeutics • biotechnology

10,000+

💰 $111M Post-IPO Equity on 2004-02

Description

• 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. • 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. • Design, develop, or manage AI platforms, including cloud-based platforms like AWS, Azure, or Google with large and small language models (open and closed). • Develop data pipelines, implement data processing techniques, and manage data storage solutions for AI workloads. • Use software development lifecycle, DEVOPS, and testing methodologies to ensure scalable AI solutions. • Align AI programs with overarching team goals and translate them into relevant roadmaps. • Build and direct AI teams, promote a culture of innovation and learning. • Collaborate with partners and leaders across different areas of the business. • Manage partners, deliver AI projects on time and within budget, manage resources and risks. • Stay informed about the latest trends and advancements in AI technology, identify potential opportunities and threats. • Champion AI, its potential, and our roadmap with all partners.

Requirements

• 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. • 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. • DevOps experience and ML/AI engineering a plus.

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.