Knowledge of capital equipment procurement, equipment lifecycle management, demand planning, supplier performance, long-lead equipment, bid analysis, and delivery tracking.
Experience with procurement, Source-to-Pay, purchase orders, supplier data, project schedules, cost systems, installation records, and equipment master data.
Strong technical background in data engineering, databases, data structures, data modeling, data science, algorithms, APIs, system integrations, and cloud data platforms.
Experience with analytics product management, data-product development, workflow automation, AI/ML, predictive analytics, and UI/UX.
Exposure to technologies such as Databricks, SAP, n8n, SQL, Python, R, GitLab/GitHub, VS Code, Codex, React, Lovable, and related modern development tools.
Familiarity with data governance, master data management, equipment taxonomies, data quality, data lineage, ETL/ELT, and data pipelines.
Supply-chain analytics or digital-procurement-platform experience strongly preferred; comparable experience in another complex operational environment is acceptable.
Capital-project or construction experience preferred.
Pharmaceutical, biotechnology, or another regulated-industry background preferred.
PREFERRED/GOOD TO HAVE QUALIFICATIONS & SKILLS
Documented experience understanding equipment delivery across projects
Strong experience with data analytics tools and systems, including Power BI and SAP
Experience working with capital equipment, procurement, or supply chain data in a project environment
Experience supporting capital projects in the pharmaceutical or biotechnology industry
Strong understanding of equipment lifecycle processes, procurement workflows, and capital project delivery
Experience integrating data across cost, schedule, and procurement systems
Experience building data models, dashboards, and scalable analytics solutions
Familiarity with automation, data engineering concepts, or advanced analytics techniques
Demonstrated ability to drive standardization, process improvement, and adoption of analytics solutions
Strong stakeholder management and communication skills across global teams
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