Yara International

Director, Data & AI

Yara International

full-time

Posted on:

Location Type: Office

Location: Singapore • Singapore

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Job Level

Lead

Tech Stack

CloudETL

About the role

  • 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.
Benefits
  • Health insurance
  • 401(k) matching
  • Flexible work hours
  • Paid time off
  • Remote work options
Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools
data strategyAI roadmapdata modernizationanalyticsdata governancedata qualitydata securityAI/ML developmentdata modelingETL/ELT pipelines
Soft Skills
leadershipmentoringcommunicationteam managementproject managementsimplifying technical topics
Certifications
Bachelor's degree in Data ScienceBachelor's degree in EngineeringBachelor's degree in Computer ScienceBachelor's degree in Business AnalyticsBachelor's degree in Information Systems