#R-228512
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Govern capacity, cost, and quality: quotas, GPU utilization, $/compute-hour, and SLA attainment.
Partner on schemas, vocabularies, lineage, and compliance with Reseach data stewards.
Coordinate instrument onboarding and lab software integrations with RA&T.
Mentor and grow L5/L4 engineers; develop on-call rotations and technical leadership bench.
Core Competencies
Enterprise strategy, product/platform thinking, and financial acumen.
Global change leadership; cross-cultural communication across time zones.
Platform engineering literacy: containers/Kubernetes; workflow orchestration (Nextflow/Airflow/Argo/Prefect).
Compute literacy: HPC schedulers (Slurm) and/or distributed compute (Spark/Ray/Databricks).
Data governance literacy: schemas, vocabularies, lineage, and compliance.
Executive communication; stakeholder management across science, engineering, and operations.
Qualifications
Basic: Bachelor's degree required; advanced degree (MSc/PhD) preferred
Scientific literacy: Training and experience in chemistry, biology, or related scientific fields
Domain literacy: Familiarity with R&D domains (biology, chemistry, protein science, computational sciences) and experience partnering closely with scientists.
Technical literacy: Python plus one of Java/Scala/C++; containers/Kubernetes; workflow orchestration; HPC schedulers; distributed compute; data lakehouse; CI/CD
Experience: 18-24 years in platform/software/data leadership with cross-region operations; budget/vendor management; policy/standards influence
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