Data & AI Delivery Specialist

See yourself being part of a large, transformational change? This could be the role for you!

At Iress, we make things happen

We believe technology should help people perform better every day.

Since our beginning in 1993, people across financial services have trusted us to take their performance to the next level. More than 10,000 businesses and 500,000 people use our software, from the world’s most iconic financial services brands to advice firms of all sizes, banks, insurers, investment managers, traders and brokers. Iress is one of Australia’s largest technology companies and employs more than 1,500 people across Australia, the United Kingdom, Africa, Canada, France, New Zealand and Asia.

Make data and AI useful in the work that matters

You’re proactive, curious and comfortable getting things moving. You know the best solutions start with understanding how people work, not with picking a tool. In this role, you’ll partner with teams across Iress to find practical ways data, AI and automation can make work easier, improve processes and help people do their best work.

You’ll turn early ideas into clear next steps, help teams test useful solutions with approved tools and connect them with the right technical specialists. You’ll see how ideas move from discovery towards adoption, build your consulting and technical skills, and leave teams more confident and capable than when you arrived.

This is a hands-on enablement role: you’ll help teams make progress, not become the permanent owner of their projects. Business teams remain accountable for their outcomes, delivery teams own what they deploy, and you’ll bring in platform, architecture and risk specialists when their expertise is needed.

Build your career at Iress.

Some of the amazing things you’ll be involved in

• 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, clarifying the problem, outcome owner, users, baseline, data needs, dependencies, risks and a sensible first step.
• Help teams understand whether their data is ready by identifying relevant sources, owners, access needs and quality questions, then connecting them with the right specialists.
• Look first to existing Iress capabilities and approved patterns. Depending on the opportunity, that could mean platforms such as Databricks, AWS, Glean, Salesforce or Jira.
• Build or configure bounded prototypes and proof-of-value solutions using approved tools and reusable components. Gather feedback and help teams decide whether to iterate, stop or progress.
• Work with delivery teams to identify what’s needed before deployment-including testing, user review, access, monitoring, support ownership and handover-and escalate specialist questions appropriately.
• Coach and guide teams as they adopt a solution, using practical documentation and demonstrations to help them continue the work themselves.
• Track agreed adoption and outcome measures with business sponsors, and share useful lessons and recurring blockers with the Data & AI platform team.

What you will bring

• A proactive, self-starting approach: you take initiative, bring structure to ambiguity and follow through while keeping the right people involved.
• 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-you can get to the heart of a business workflow and explain technical possibilities and limitations in clear, practical language.
• Practical data fluency, such as SQL, BI or analytics, data analysis, low-code automation or scripting. You don’t need to be an expert in everything.
• Experience with one or more relevant platforms or tools. Databricks, AWS, enterprise search or productivity AI, CRM and workflow platforms—or similar technologies—are useful; deep expertise across the Iress toolset isn’t expected.
• A structured, user-focused approach: you clarify assumptions, identify who owns the outcome and test a small solution before advocating for a bigger build.
• A collaborative mindset and sound judgement about when to involve an architect, engineer, data owner, security or risk specialist.

Nice to have: Experience with a lakehouse or cloud data platform, data pipelines, APIs, retrieval or generative AI applications; business process mapping or product delivery; responsible AI, privacy, security or service operations; or financial services and other controlled environments.

Why work with us?

• 8 additional paid days per year to extend your weekends
• Hybrid working
• Generous cash bonus for every successful referral
• Starting school leave—8.5 days to help your children transition to school
• Up to 26 weeks’ paid parental leave for primary carers (up to 4 weeks for secondary carers), with the ability to work part-time when returning to work
• 3 days’ paid leave per year to participate in charity initiatives
• Discounted health insurance premiums
• Access to learning and development programs through LinkedIn Learning

Iress is committed to fostering a welcoming and inclusive culture. We strongly believe that diversity is what makes our teams and our products succeed. Our people have different experiences, skills, perspectives and beliefs, and everyone’s uniqueness is valued and celebrated.

Our hiring decisions are never based on sexual orientation, race, gender identity, religion, disability, citizenship, marital or family status, or age. Even if you feel you don’t meet all of the requirements of the role, we would still like to hear from you!

We’re also proud to be globally recognised as a WORK180 Endorsed Employer that promotes and supports all women in the workplace.

For more information about what we do, our people and values, visit iress.com/join-us/careers.

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Employment Type

Employee

Time Type

Full time