Data & AI Delivery Specialist

About the role

Iress, a large Australian technology company serving financial services, is looking for a Data & AI Delivery Specialist in Sydney. This is a hands-on enablement role: you partner with business and delivery teams to turn early ideas into practical use cases, help teams test solutions with approved tools and connect them with the right technical specialists. You do not become the permanent owner of projects.

Key responsibilities

• Partner with business and delivery teams to understand their workflows, friction points and desired outcomes, and how success could be measured.
• Turn promising ideas into concise use-case briefs covering the problem, outcome owner, users, baseline, data needs, dependencies, risks and a first step.
• Help teams check whether their data is ready by identifying sources, owners, access needs and quality questions, then connecting them with specialists.
• Look first to existing Iress capabilities and approved patterns, such as Databricks, AWS, Glean, Salesforce or Jira.
• Build or configure bounded prototypes and proof-of-value solutions, gather feedback and help teams decide whether to iterate, stop or progress.
• Work with delivery teams on pre-deployment needs such as testing, user review, access, monitoring, support ownership and handover, escalating specialist questions appropriately.
• Coach teams as they adopt a solution, using practical documentation and demonstrations, and track adoption and outcomes with business sponsors.
• Share lessons and recurring blockers with the Data & AI platform team.

Required profile

• Proactive, self-starting approach that brings structure to ambiguity and follows through.
• Hands-on AI fluency, including experience with tools such as Claude Code and Copilot, creating prompts or skills and helping people verify AI-generated work.
• Experience contributing to data, analytics, automation, digital change or AI-enabled delivery in a business or technology environment.
• Strong communication and facilitation skills, able to explain technical possibilities and limitations clearly.
• Structured, user-focused approach: clarifies assumptions, identifies outcome owners and tests a small solution before advocating for a bigger build.
• Collaborative mindset and sound judgement about when to involve an architect, engineer, data owner, security or risk specialist.

Required skills

• Practical data fluency such as SQL, BI or analytics, data analysis, low-code automation or scripting.
• Experience with one or more relevant platforms or tools; Databricks, AWS, enterprise search, productivity AI, CRM and workflow platforms are useful but deep expertise across the Iress toolset is not expected.
• Nice to have: lakehouse or cloud data platform, data pipelines, APIs, retrieval or generative AI applications, business process mapping, responsible AI, privacy, security or service operations, and financial services experience.

What we offer

• Hybrid working.
• 8 additional paid days per year.
• Generous cash bonus for every successful referral.
• Starting school leave of 8.5 days.
• Up to 26 weeks' paid parental leave for primary carers, with part-time work possible on return.
• 3 days' paid leave per year for charity initiatives.
• Discounted health insurance premiums.
• Learning and development through LinkedIn Learning.