Home
Jobs
Saved
Resumes
Director, Data & AI at Yara International | JobVerse
JobVerse
Home
Jobs
Recruiters
Companies
Pricing
Blog
Jobs
/
Director, Data & AI
Yara International
Website
LinkedIn
Director, Data & AI
Singapore, Singapore
Full Time
4 weeks ago
No Sponsorship
Apply Now
Key skills
Cloud
ETL
AI
Machine Learning
ML
ELT
Data Engineering
Analytics
Business Intelligence
OKRs
Communication
Remote Work
About this role
Role Overview
Develop and execute the YAA wide data strategy and AI roadmap in alignment with DVCS and market priorities
Define strategic focus areas for data modernization, analytics, and responsible AI adoption
Lead the development of federated data governance models and data‑as‑a‑product operating principles
Establish and maintain enterprise data governance frameworks including data ownership, stewardship, policies, standards and procedures
Ensure data quality, security, privacy, cataloging, lineage, metadata management, and access control are consistently implemented
Guide prioritization and delivery of reusable data products, shared datasets, APIs, and platform capabilities
Lead end-to-end lifecycle of AI/ML development: opportunity identification, model design, experimentation, deployment and monitoring
Build consistent model Machine Learning Operations practices for versioning, retraining, governance and delivery of advanced analytics
Embed value tracking frameworks to measure impact on OKRs, P&L, operational efficiency and customer outcomes
Lead, mentor and develop data engineers, data analysts, AI/ML engineers and related roles
Requirements
Bachelor's degree in Data Science, Engineering, Computer Science, Business Analytics, Information Systems or equivalent
6–10 years of hands-on experience in data analytics, data engineering, data management, business intelligence, or AI/ML solution delivery
Prior experience leading small teams, projects, or data workstreams
Solid understanding of data fundamentals — data modelling, metadata, data quality, data lifecycle, and basic data governance concepts
Experience working with modern data platforms such as cloud data lakes/warehouses, ETL/ELT pipelines, dashboards and reporting tools
Familiarity with AI/ML concepts (model training, evaluation, monitoring, and deployment)
Strong communication skills with the ability to simplify technical topics for non-technical audiences
Basic understanding of data privacy regulations, internal data handling expectations, and responsible AI principles.
Tech Stack
Cloud
ETL
Benefits
Health insurance
401(k) matching
Flexible work hours
Paid time off
Remote work options
Apply Now
Home
Jobs
Saved
Resumes