Manager, Capital Project Cost Intelligence & Ai Analytics
Bristol Myers Squibb UK
Not specified; not specified; competitive benefits...
Hybrid (50% onsite)
Capital project cost database management
Work breakdown structure (wbs) data structuring
Ai data mining and machine learning techniques
Bristol Myers Squibb UK is seeking a Manager for Capital Project Cost Intelligence & AI Analytics, focusing on developing and maintaining a centralized cost database and utilizing AI for actionable insights in project planning. The role emphasizes data mining, AI-driven analysis, and collaboration with stakeholders to enhance cost benchmarking and reporting
Job Summary
This role focuses on transforming historical capital project cost data into actionable insights using AI data mining techniques and advanced analytics.
The successful candidate will design, build, and maintain a robust capital project cost database aligned with corporate standards and Work Breakdown Structures.
Bristol Myers Squibb offers a wide variety of competitive benefits and programs that provide employees the resources to pursue their goals both at work and in personal lives.
Matching Summary
Match Score: 85
Bristol Myers Squibb UK is seeking a Manager for Capital Project Cost Intelligence & AI Analytics, focusing on developing and maintaining a centralized cost database and utilizing AI for actionable insights in project planning. The role emphasizes data mining, AI-driven analysis, and collaboration with stakeholders to enhance cost benchmarking and reporting.
Salary
Not specified; Not specified; Competitive benefits and programs offered
Skills & Requirements
Must-have
Capital project cost database management
Work Breakdown Structure (WBS) data structuring
AI data mining and machine learning techniques
Cost benchmarking dashboard development
Natural language processing (NLP) application
Nice-to-have
Collaboration with global services teams
Self-service capability enablement
Dynamic visualization creation
Ad hoc user request translation
Key Requirements
Experience with AI tools and machine learning models
Expertise in data cleaning, normalization, and enrichment
Ability to integrate AI tools with existing platforms