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Iress

Data & AI Delivery Specialist

Iress

. Partner with business and delivery teams to understand workflows, friction points, desired outcomes and success measures .

Posted 11/3/2026full-timeSydney • AustraliaMid-LevelSeniorWebsite

Core Competencies

Role fit
Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates hands-on AI fluency and practical data fluency, utilizing tools such as SQL and Databricks to drive data-driven decision-making. Capable of collaborating with cross-functional teams to clarify assumptions, identify outcomes, and facilitate solution adoption in a structured manner.

Highest-signal resume keywords
AI FluencyData AnalysisSQLDatabricksStrong Communication

ATS Keywords

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Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills
Data AnalysisLow-Code AutomationScriptingPrompt CreationSkill Creation
Soft Skills
Proactive ApproachCollaborative MindsetStrong CommunicationFacilitation SkillsSound Judgement
Tools & Technologies
DatabricksAWSSalesforceJiraClaude CodeCopilot
Industry Keywords
AI-Enabled DeliveryDigital ChangeBusiness Process MappingResponsible AIPrivacySecurity

Tech Stack

Tools & technologies
AWSCloudSQL

About the role

Key responsibilities & impact
  • Partner with business and delivery teams to understand workflows, friction points, desired outcomes and success measures
  • Turn promising ideas into concise use-case briefs covering the problem, outcome owner, users, baseline, data needs, dependencies, risks and first step
  • Identify relevant data sources, owners, access needs and quality questions, and connect teams with specialists
  • Use existing Iress capabilities and approved patterns, including Databricks, AWS, Glean, Salesforce and Jira where appropriate
  • Build or configure bounded prototypes and proof-of-value solutions with approved tools and reusable components
  • Gather feedback and help teams decide whether to iterate, stop or progress
  • Work with delivery teams on testing, user review, access, monitoring, support ownership and handover before deployment
  • Coach and guide teams during solution adoption through practical documentation and demonstrations
  • Track adoption and outcome measures with business sponsors
  • Share lessons and recurring blockers with the Data & AI platform team
  • Escalate specialist questions appropriately and help teams make progress without becoming the permanent project owner

Requirements

What you’ll need
  • Proactive, self-starting approach; initiative, structure in ambiguity and follow-through
  • Hands-on AI fluency, including tools such as Claude Code and Copilot, prompt or skill creation, and verification of 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
  • Practical data fluency, such as SQL, BI or analytics, data analysis, low-code automation or scripting
  • Experience with relevant platforms or tools such as Databricks, AWS, enterprise search or productivity AI, CRM and workflow platforms, or similar technologies
  • Structured, user-focused approach to clarifying assumptions, identifying outcome ownership and testing small solutions
  • Collaborative mindset and sound judgement about involving architects, engineers, data owners, security or risk specialists
  • Nice to have: experience with lakehouse or cloud data platforms, 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

Benefits

Comp & perks
  • 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
  • Inclusive and welcoming culture
  • WORK180 Endorsed Employer supporting women in the workplace