Position Overview
As the organization accelerates its AI adoption, the AI Strategy & Governance Specialist will play a central role in ensuring responsible, standardized, and effective AI implementation enterprise-wide. Reporting to senior technology and business teams, this position blends deep technical proficiency with high-level strategic insight to set foundational governance structures for AI initiatives across the organization.
Responsibilities:
- Lead the creation and standardization of AI operational manuals, playbooks, and guidelines for application across varied organizational use cases.
- Collaborate with business teams to extract diverse AI implementation learnings and consolidate them into cohesive organizational frameworks for AI deployment.
- Establish and maintain policies aligning AI initiatives with evolving national and industry standards, while adhering to the latest regulatory expectations.
- Partner with risk, legal, and compliance departments to develop protocols that ensure responsible AI practices-including robust data security, ethics, and risk frameworks.
- Cultivate and sustain relationships with internal business and technical stakeholders to ascertain AI requirements and synchronize solutions with business priorities.
- Regularly update executive leadership and technical leaders on the progress and direction of AI strategy implementation, surfacing critical challenges and opportunities.
- Work closely with the DSA AI Partnership Lead to coordinate projects in tandem with partners such as A.STAR and GovTech, supporting a rapid and innovative AI adoption process.
- Benchmark and adapt international AI best practices, ensuring that organizational AI strategies remain agile, ethical, and at the forefront of industry advancement.
Requirements:
- Bachelor's, Master's, or PhD degree in Analytics, Artificial Intelligence, Data Science, Computer Science, Computer Engineering, or Information Systems (specializing in business analytics or data science) from a recognized academic institution
- OR
- Relevant professional certifications in business analytics, data science, or machine learning engineering from accredited professional bodies, accompanied by substantial related professional experience for candidates from other disciplines.
- At least 1 year working within AI governance frameworks, and a minimum of 1 year implementing AI or machine learning projects.
- Proven ability to manage multiple projects simultaneously within a dynamic, matrixed, and agile work environment.
- Strong critical thinking, attention to detail, and the capacity to communicate complex technical concepts effectively to a variety of internal and external stakeholders.
- Comprehensive knowledge of AI technologies, frameworks, and their practical application in real-world organizational contexts.
- Familiarity with emerging AI regulatory trends, industry standards, and responsible AI principles.
Usha Devi
R25158160
