About the role
AI summarisedLead data governance and AI governance initiatives at ASM, a semiconductor equipment company. Drive data quality, metadata management, and AI governance framework development while collaborating with cross-functional teams in Global Operations.
EquipmentFull-timeIT, Data & AI
Key Responsibilities
- Maintain data governance documentation including policies, standards, definitions, and operating procedures.
- Stay abreast of the latest advancements in machine learning techniques, agentic AI, and LLMs, and evaluate their applicability to Global Operations' business challenges.
- Collaborate with data Owners, data stewards to enforce Data Governance rules across Global Operations functions
- Drive early-stage exploration and stakeholder discovery for AI Governance, clarify scope, use-case inventory, risk tiers, and key decision points to shape the operating model.
- Establish and socialize an AI Governance framework (roles & responsibilities, controls, and documentation) to support FEAT-aligned assessments across the AI lifecycle (design, development, validation, deployment, and monitoring).
- Develop, monitor, measure, and report on data quality KPIs and scorecards.
- Identify data quality issues, perform root cause analysis, and provide recommendations.
- Lead the exploration for Enterprise Data Catalogs development using tools.
- Partner with business teams to understand data quality needs and governance pain points.
- Drive agenda in Data Governance Council meetings.
- Develop Agentic AI pilots for automating core Data Governance Processes, Data Quality Monitoring, Access Controls, Detect data drifts, autonomous root cause analysis and issue resolutions.
- Conceptualize autonomous Data Governance monitoring tasks and envision Autonomous Data Stewardship
Requirements
- Bachelor's or Master's degree in Data Analytics, Data Science, Computer Science, Mathematics Information Systems, or any related quantitative / STEM field.
- Minimum 5 of experience in Data Governance/Data Management/Analytics/Data SME roles.
- Experience with Data Governance, Data Quality, Metadata Management or Master Data Management programs.
- Familiarity with any commercial data governance platforms (Collibra, Atlan etc.)
- Knowledge of SAP systems (S4 HANA, CRM, SRM), Kinaxis, and business processes in Manufacturing, Supply Chain, Purchasing, Logistics, Quality, or Engineering
- Familiarity with DAMA principles.
- Data Governance certification CDMP
- AI Literacy of any leading AL/LLM frameworks – Claude/Copilot etc.
- Familiarity with data privacy, security, and ethical AI practices.
- Strong affinity for applying AI – concepts and tools into Data Governance
- Experience in Data Governance Project Management in High Tech Manufacturing
- Understanding of data architecture, data warehousing concepts, ETL pipelines
- Strong SQL /Python skills for data validation and profiling.
- Strong in MS Excel; PowerPoint Presentations; Microsoft Platform tools.
- Strong Communication skills - verbal and written to contribute in business discussions, communicate insights, and influence stakeholders.