The employer is a global biotechnology company focused on developing innovative therapies for serious diseases. It combines scientific research with advanced technology to deliver impactful treatments and improve patient outcomes worldwide.
Industry: Technology & Telecoms
Area: IT Data Analysis
Your responsibilities
Platform Strategy & Architecture
Define and execute a multi-year vision and roadmap for enterprise data and AI platforms.
Establish standards, frameworks, and best practices for data ingestion, integration, streaming, semantic models, analytics, and AI workloads.
Design and evolve scalable platform architectures supporting multiple business domains and geographic regions.
Lead architecture governance, technology assessments, and strategic platform investment decisions.
Drive platform simplification initiatives by reducing tool fragmentation and technical debt.
Manage strategic technology partnerships and vendor relationships.
AI & Advanced Analytics Enablement
Leverage AI to improve metadata management, data quality, lineage, documentation, operational efficiency, and platform support.
Define enterprise patterns for AI-enabled analytics, generative AI, conversational BI, retrieval-augmented generation (RAG), model observability, and responsible AI practices.
Partner with business and technology stakeholders to scale successful AI initiatives into enterprise-wide capabilities.
Maintain an innovation roadmap balancing business value, operational excellence, risk management, and regulatory requirements.
FinOps & Cost Optimization
Own financial governance and cost efficiency across the data and AI platform landscape.
Lead capacity planning, budget management, and cloud cost optimization initiatives.
Establish cost transparency through chargeback/showback models, workload governance, and usage monitoring.
Define measurable targets and KPIs for platform efficiency and value realization.
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