Senior Data & AI Specialist (TII)

About TII:
The Technology Innovation Institute (TII) is a leading global research center dedicated to advancing the frontiers of knowledge. Their team of scientists, researchers, and engineers works in an open, flexible, and agile environment to deliver groundbreaking science and transformative technologies.
They are part of the Abu Dhabi Government’s Advanced Technology Research Council (ATRC), which oversees technology research in the emirate.

Role Overview:
The Data & AI Specialist will be responsible for conceptualizing, designing, and delivering Data Analytics and Artificial Intelligence (AI) initiatives across TII, from ideation through production and adoption.
This role focuses on practical, applied AI and analytics — leveraging modern AI platforms, low‑code/no‑code tools, and agentic AI frameworks — to enable data‑driven decision‑making, operational intelligence, and intelligent automation across research, innovation, enterprise, and industrialization domains.
The specialist ensures that the AI solutions are scalable, secure, and aligned with enterprise architecture and governance.

Location & Hours: From the Abu Dhabi office, full-time, Mon–Fri, 9:00 AM – 5:00 PM.

Key Responsibilities:
Data & AI Strategy Execution
- Own and drive Data Analytics and AI initiatives from the ground up, including use‑case identification, solution design, and delivery.
- Translate business, research, and operational challenges into analytics‑driven and AI‑enabled solutions.
- Contribute to TII’s enterprise Data & AI roadmap, ensuring alignment with digital transformation and innovation priorities.
Advanced Analytics & Data Enablement

- Design and deliver analytics solutions including:
· Descriptive, diagnostic, and predictive analytics.
· Executive dashboards and operational insights.
· Data models supporting research, innovation, and enterprise reporting.
- Work with structured and semi‑structured data sources across enterprise platforms (CRM, ERP, innovation systems, research datasets).
- Ensure analytics solutions adhere to data governance, security, and quality standards.
AI & Generative AI Solutions
- Design, prototype, and deploy AI‑powered solutions, including:
· Generative & Agentic AI use cases.
· Intelligent assistants and copilots.
· Decision‑support and automation solutions.
- Build and orchestrate AI agents and agentic workflows using leading platforms and frameworks.
- Develop solutions using popular AI ecosystems and models, including:
· OpenAI‑based models and tooling.
· Anthropic‑based models.
· Google AI / Gemini ecosystem and others.
- Ensure responsible AI practices, including model governance, ethical considerations, and enterprise controls.
Low‑Code / No‑Code; Agentic AI & Automation
- Leverage low‑code / no‑code platforms to accelerate AI and analytics delivery.
- Enable rapid prototyping and business‑led innovation while maintaining IT oversight and governance.
- Support integration of AI capabilities into existing enterprise platforms and workflows.
- Design and implement agent‑based AI solutions that can:
· Reason, plan, and execute tasks across systems.
· Interact with enterprise data and applications.
· Automate repetitive or knowledge‑intensive processes.
- Collaborate with application, integration, and security teams to operationalize AI agents safely and effectively.
Platform, Integration & Governance
- Work closely with IT architecture, security, and data teams to:
· Integrate AI solutions with enterprise systems.
· Ensure compliance with data privacy, security, and regulatory requirements.
· Support scalable, cloud‑ready AI architectures.
- Document AI solutions, data flows, and operational processes. Drive user adoption in collaboration with innovation teams and Research Centers.

Key Skills & Competencies:
Data & Analytics
- Strong hands-on experience in data analysis, visualization, and insight generation.
- Hands-on advanced experience in BI Platforms inc. SAP SAC (SAP Analytics Cloud) & MS Power BI for end-to-end delivery of comprehensive data insights, reports, and dashboards.
- Ability to translate complex data into actionable business insights.
- Experience with modern analytics tools and platforms.
AI & Generative AI
- Hands‑on experience with Generative AI and LLM‑based solutions.
- Experience developing or orchestrating AI agents / agentic workflows.
- Familiarity with AI model selection, prompt engineering, and evaluation.
Low‑Code / No‑Code
- Experience using low‑code / no‑code platforms for analytics, automation, or AI enablement.
- Ability to balance speed of delivery with enterprise governance.

Qualifications & Experience:
- Bachelor’s degree in Computer Science, Data Science, Engineering, AI, or related field.
- 6–10 years of experience in Data, Analytics, AI, or Digital roles.
- Demonstrated experience delivering real world AI or analytics solutions -world AI or analytics solutions.
- Experience working with enterprise stakeholders and cross-functional teams.
- Exposure to research, innovation, or advanced technology environments is highly desirable.

Soft Skills:
- Excellent written, spoken and presentation skills
- Strong technical skills and a solid understanding of software development.
- Good time management skills and the ability to juggle multiple tasks at once.
- A good communicator with effective stakeholder management & conflict resolution skills.
- A team player and an effective leader who can motivate their project team.