Director of Data & AI at Yara leading data strategy and AI roadmap across Asia, ensuring governance and operational analytics.
About the role
- AI Strategy Consultant managing AI strategy engagements and advising organizations on AI adoption. Leading client-facing projects from design through execution with a focus on responsible AI deployment.
Responsibilities
- Lead the design and delivery of AI strategy engagements, including AI opportunity identification and prioritization
- Operating model and capability design
- AI governance, risk, and responsible AI frameworks
- Roadmaps for AI adoption, scaling, and value realization
- Translate complex AI concepts (e.g., generative AI, agentic systems, automation) into clear executive-level insights and decisions.
- Advise clients on aligning AI initiatives with business strategy, risk tolerance, regulatory considerations, and organizational readiness.
- Own projects end-to-end, from scoping and planning through delivery and executive readout.
- Serve as the primary day-to-day client lead, managing scope, timelines, quality, and outcomes with minimal oversight.
- Coordinate with cross-functional teams (data science, engineering, risk, legal, cyber, operations) as needed to deliver integrated solutions.
- Proactively identify risks, dependencies, and decision points; escalate thoughtfully and early when required.
- Contribute to the development of AI frameworks, methodologies, accelerators, and points of view.
- Stay current on AI trends, regulations, and industry use cases; synthesize insights into practical guidance for clients and internal teams.
- Support business development through proposal contributions, client conversations, and thought leadership materials.
- Build trusted relationships with senior client stakeholders (Director, VP, C-suite).
Requirements
- 10+ years of experience
- Demonstrated experience leading complex, ambiguous projects with limited supervision.
- Strong working knowledge of AI concepts, including: Generative AI, large language models, and traditional AI methodologies
- AI/ML lifecycle and deployment considerations
- AI governance, ethics, risk, and controls (preferred but not mandatory)
- Hands-on experience as an individual contributor (e.g., Data Scientist, AI/ML Engineer, Applied Scientist, or similar technical role) is a strong plus, particularly experience building, deploying, or operationalizing AI solutions in real-world environments
- Proven ability to communicate effectively with both technical teams and executive audiences.
- Exceptional problem-solving skills, judgment, and intellectual curiosity.
- Comfortable operating in environments with high ambiguity and rapid change.
Benefits
- Flexible PTO (designed to offer flexible time away for you!)
- Up to 12 weeks paid parental leave
- Paid Volunteer Time Off
- Mental health coverage
- Quarterly Wellness stipend
- Fertility benefits
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
No Education Requirement
Location requirements
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