AI Automation Project Specialist building AI - powered automation across departments at Hone Health. Focused on creating scalable AI solutions with a strong collaborative emphasis.
About the role
- Director of Data & AI at Yara leading data strategy and AI roadmap across Asia, ensuring governance and operational analytics.
Responsibilities
- 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
Job title
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Degree requirement
Tech skills
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