IT Data & AI Specialist

About The Role

This role is responsible for coordinating the design, development, and operational deployment of Data and Artificial Intelligence (AI) capabilities within the organization. Partnering closely with business data analysts and key stakeholders, the specialist identifies critical data requirements and facilitates the creation of scalable, adaptable, and robust data solutions. The position involves strategising technology choices, architecting, and deploying data platforms built to scale with the growing business demands and adapt to forthcoming technological innovations, including generative AI systems. Additionally, the role co-develops, administers, and iteratively enhances the company's Generative AI initiatives by preparing necessary data, establishing governance frameworks, and spearheading programs to drive successful AI technology integration across various business units.

Key Responsibilities

• Design, build, and maintain scalable data pipelines and models to support advanced analytics and AI applications.
• Ensure reliable and governed access to data for business analysts across different departments.
• Support integration efforts across multiple platforms and systems such as ERP, ecommerce, and customer data sources.
• Maintain data quality, consistency, and accessibility across operational and analytical environments.
• Independently develop and sustain the analytics and AI-enabling technical capabilities.
• Co-develop and facilitate the operationalization of the organization’s Generative AI onboarding framework.
• Create and maintain AI use cases including automation tools, productivity aids, and insight generation applications.
• Translate business needs into AI-powered workflows, such as Copilot-centric solutions.
• Assist in evaluating and deploying AI tools according to enterprise policies and technical standards.
• Collaborate with business teams to enhance AI-driven business cases and propose technical enhancements for value addition.
• Administer AI onboarding aligned with company AI policies and approval processes.
• Support governance functions covering risk management, compliance, data privacy, and lifecycle oversight.
• Work collaboratively with IT, Cyber Security, Legal, and Internal Control teams to meet AI compliance requirements.
• Engage with data analysts and stakeholders to deliver data-driven business solutions and prioritize initiatives based on value.
• Co-create data models, dashboards, and AI use case developments aligned with business priorities.
• Design and implement training programs, playbooks, and resources to drive adoption of Generative AI tools.
• Support AI Super User Groups and functional AI champions to strengthen internal capabilities.
• Identify emerging opportunities for automation, analytics, and AI-driven insights to propel innovation and improvement.
• Keep abreast with emerging AI technologies and recommend relevant adoption strategies.
• Track and report on adoption metrics, business impact, and efficiency improvements.
• Assist in assessing business return on investment for AI developments and enhance solution effectiveness through communication and governance mechanisms.

Profile & Competencies

• Minimum five years of experience in data engineering, including ETL processes, pipeline development, and working with cloud data platforms.
• At least two years of exposure to AI, machine learning, and generative AI technologies such as the Copilot ecosystem.
• Proven experience collaborating closely with business stakeholders and translating their requirements into technical solutions.
• Good understanding of data governance, security frameworks, and regulatory compliance.
• Strong interpersonal, communication, and teamwork skills.
• Technical proficiency with tools and platforms including Data Bricks, Microsoft Fabric, Azure Cognitive Services, Azure AI, Google Big Query, and other cloud technologies.
• Familiarity with generative AI models such as Claude, OpenAI, Copilot, as well as Agentic model builders like n8n, Vector databases, and Hugging Face platform.
• Awareness of AI governance, security protocols, and compliance considerations.
• Excellent analytical and problem-solving capabilities.

Education

• Bachelor's degree in Information Technology, Computer Science, Business, or a closely related discipline.
• Relevant certifications or formal training related to Data Bricks, Microsoft Fabric, Azure Cognitive Services, Azure AI, or Data Science platforms are preferred.