Senior Data & AI Specialist (TII)

- 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 semistructured 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 AIpowered solutions including:
Generative & Agentic AI use cases.
Intelligent assistants and copilots.
Decisionsupport 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:
OpenAIbased models and tooling.
Anthropicbased models.
Google AI / Gemini ecosystem and others.
- Ensure responsible AI practices including model governance ethical considerations and enterprise controls.
LowCode / NoCode; Agentic AI & Automation
- Leverage lowcode / nocode platforms to accelerate AI and analytics delivery.
- Enable rapid prototyping and businessled innovation while maintaining IT oversight and governance.
- Support integration of AI capabilities into existing enterprise platforms and workflows.
- Design and implement agentbased AI solutions that can:
Reason plan and execute tasks across systems.
Interact with enterprise data and applications.
Automate repetitive or knowledgeintensive 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 cloudready 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
- Handson experience with Generative AI and LLMbased solutions.
- Experience developing or orchestrating AI agents / agentic workflows.
- Familiarity with AI model selection prompt engineering and evaluation.
LowCode / NoCode
- Experience using lowcode / nocode platforms for analytics automation or AI enablement.
- Ability to balance speed of delivery with enterprise governance.

Qualifications & Experience:
- Bachelors degree in Computer Science Data Science Engineering AI or related field.
- 610 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.