Working knowledge of Cost Forecasting, Estimating, Budgeting, Benchmarking, Cost Management, Scheduling, Work Breakdown Structures, and portfolio risk.
Strong technology and data fluency, including data strategy, data architecture, databases, data structures, data modeling, data governance, and master data management.
Familiarity with data engineering, data science, algorithms, predictive analytics, scenario modeling, automation, and AI/ML.
Experience partnering with enterprise technology teams on data ownership, system integration, APIs, cloud data platforms, and solution development.
Exposure to technologies such as Databricks, SAP, n8n, SQL, Python, R, GitLab/GitHub, VS Code, Codex, React, Lovable, and modern UI/UX approaches.
Experience with Procurement, Source-to-Pay, supply-chain data, SAP project data, and financial systems.
Capital-project or construction experience preferred.
Pharmaceutical, biotechnology, or another regulated-industry background preferred.
Global Cultural Leadership and Stakeholder Engagement
Operating from AIN across cultures, regions, and time zone
Build and sustain high performing organization.
Business leader advancing cross functional partnership.
Influence and communicate with clarity driving alignment across complex stakeholder environments.
Leadership Advancing Digital Solutions and Continuous Improvement
Lead the AIN Project Controls organization delivering cost management, source-to-pay, and analytics services across global capital projects.
Standardization and scale project controls processes, tools, and data structures to enable consistent, high-quality delivery.
Drive productivity and reduce cycle times across cost management, reporting, and transactional workflows (POs, invoicing)
Implement and embed digital solutions (e.g., Power BI, automation, risk analytics) to enhance data-driven decision-making.
Establish and maintain a robust data and master data environment to support accurate, integrated project controls delivery.
Improve cost visibility, forecast predictability, and confidence through structured analytics and reporting.
Build and lead a high-performing team across Cost Management, Project Coordination, and Equipment Analytics, alignment with timelines while driving adoption of AIN services globally.
GOOD TO HAVE QUALIFICATIONS & SKILLS
Demonstrated experience leading cross-functional and globally distributed teams.
Experience supporting capital projects within the pharmaceutical or biotechnology industry.
Strong experience with project controls systems and digital tools, including SAP, Power BI, and data analytics platforms.
Experience working on large/mega capital projects with global delivery models.
Deep understanding of cost management, source-to-pay processes, and project controls data structures.
Experience implementing digital solutions, automation, and advanced analytics (e.g., dashboards, data models, risk analysis)
Familiarity with emerging technologies, including AI/ML applications in project controls or analytics.
Proven ability to drive standardization, process improvement, and adoption of centralized service models.
Strong stakeholder management and influencing skills across global engineering, finance, and project teams.
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