Senior Executive, Data and Artificial Intelligence

About the role

TOUCH Community Services is looking for a Senior Executive, Data and Artificial Intelligence to support its transition to an AI-enabled, data-driven organisation. The role works with internal stakeholders and vendor partners to run and evolve the platforms that TOUCH's programmes depend on, and to build the data foundation and AI capabilities that free staff from administration so they can focus on clients. It sits at the intersection of platform management, data engineering and applied AI.

Key responsibilities

• Collaborate with internal stakeholders and vendors to design, implement, maintain and support AI-enabled products and platforms across TOUCH.
• Design, build, test and support AI and data solutions and agents, including data pipelines, reporting, grounding data, evaluation and the human checkpoints around them.
• Help internal and vendor teams resolve issues in a timely way to meet defined Service Level Agreements (SLAs).
• Design, develop, deploy and monitor APIs.
• Use AI to speed up delivery and sustain technology operations while keeping human accountability for quality and outcomes.
• Apply TOUCH's data protection and responsible AI standards.
• Contribute to a cross-functional, agile technology and digitalisation team.

Required profile

• Degree in Computer Science, Information Technology or a related technical discipline, with at least 5 years of working experience.
• At least 3 years of relevant experience in software engineering, data science, artificial intelligence or machine learning.
• Experience with the Microsoft technology stack, including Microsoft Dynamics 365, Power Platform, Fabric, Azure and APIs.
• Knowledge of AI tools such as Claude, Copilot or Gemini, and practical understanding of how large language models behave (prompting, grounding, RAG, context limits, evaluation, failure modes).
• Experience with integration platforms such as Boomi and MuleSoft.
• Background in data science or machine learning beyond applied LLM work.
• Ability to explain technical constraints and AI limitations to non-technical colleagues, and comfort with ambiguity and rapid change.

Required skills

• Strong SQL and data modelling skills.
• Application development, vendor or agile project management.
• Python or scripting ability.

To apply, download the application form and submit it with an updated resume to the organisation's careers team; only shortlisted candidates will be contacted.