ASM International

Lead, Operations Intelligence Data Governance

ASM International
Equipment EngineeringSingaporeOnsitePosted 1 week ago

About the role

AI summarised

Lead the drive for Data Governance within Global Operations, focusing on maintaining documentation, enforcing rules across functions, and pioneering the application of advanced AI/ML techniques to automate and enhance data quality processes.

EquipmentOnsiteIT, Data & AI

Key Responsibilities

  • Maintain comprehensive data governance documentation, including policies, standards, definitions, and operating procedures.
  • Collaborate with Data Owners and data stewards to enforce established Data Governance rules across Global Operations functions.
  • Drive early-stage exploration for AI Governance, clarifying scope, use-case inventory, risk tiers, and key decision points to shape the operating model.
  • Establish and socialize an AI Governance framework covering roles, responsibilities, controls, and documentation for the entire AI lifecycle.
  • Develop, monitor, measure, and report on data quality KPIs and scorecards.
  • Identify data quality issues, perform root cause analysis, and provide actionable recommendations.
  • Lead the exploration for Enterprise Data Catalogs development using relevant tools.
  • Drive agenda and lead discussions in Data Governance Council meetings.
  • Develop Agentic AI pilots to automate core Data Governance Processes, Data Quality Monitoring, Access Controls, drift detection, and autonomous issue resolution.

Requirements

  • Bachelor’s or Master’s degree in Data Analytics, Data Science, Computer Science, Mathematics Information Systems, or related quantitative/STEM field.
  • Minimum 5 years of experience in Data Governance, Data Management, Analytics, or Data SME roles.
  • Proven experience with Data Governance, Data Quality, Metadata Management, or Master Data Management programs.
  • Familiarity with DAMA principles.
  • Strong SQL and Python skills for data validation and profiling.
  • Familiarity with commercial data governance platforms (e.g., Collibra, Atlan).
  • Understanding of data architecture, data warehousing concepts, and ETL pipelines.
  • Strong verbal and written communication skills to influence stakeholders.