Data Solutions & Emerging Technology Specialist

RACV; Melbourne; Hybrid; AUD 120,000 - 160,000; Full time

Benefits offered by this job

Discounts on Selected RACV Products

Hybrid Working

Job summary

RACV is seeking a Data Solutions & Emerging Technology Specialist in Melbourne to drive practical data solutions across pipelines, models, dashboards and automation. You will partner with data, technology and business teams to capture, transform and deliver insights that improve member and employee outcomes.

The role combines data engineering, analytics and emerging technologies with a focus on AI-enabled capabilities, governance and scalable delivery.

Qualifications

• At least five years’ experience in data, analytics, digital or technology solutions, including at least two years working with AI, automation or advanced analytics.
• Strong hands-on capability across data modelling, integration, transformation, SQL, with experience of developing end-to-end data, analytical or reporting products.
• Strong understanding of generative and agentic AI concepts, including prompting, knowledge grounding, guardrails and evaluation, and the data requirements associated with AI-enabled solutions.
• Strong analytical, problem-solving and commercial judgement.
• A sound understanding of data governance, privacy and risk.
• The ability to communicate technical concepts and trade-offs effectively to both technical and non-technical audiences.
• A relevant tertiary qualification or equivalent demonstrated experience.
• Experience with Tableau, Snowflake, Azure, Salesforce, Genesys and other modern data and analytics platforms, along with Python and DataOps/MLOps practices, will be highly regarded.

Responsibilities

• Designing and delivering data solutions including pipelines, models, dashboards, reporting products and automation.
• Sourcing, integrating and transforming data from existing and emerging sources into trusted, reusable data assets that support reporting, analytics and decision-making.
• Working with stakeholders to define business problems, success measures and expected outcomes before selecting or designing a solution.
• Leading divisional proof-of-concepts and pilots across emerging technologies, including generative and agentic AI, intelligent automation and advanced analytics, with a focus on data requirements, capture and analytical opportunities.
• Partnering with Technology and Data teams to ensure solutions align with enterprise architecture, platform standards and the broader data roadmap.
• Evaluating emerging technologies based on business value, scalability, technical feasibility and risk.
• Building data governance, privacy, security and quality into solutions from the outset.
• Translating complex technical concepts into clear recommendations for business and executive stakeholders.
• Supporting divisional adoption of new data and technology capabilities through documentation, guidance and capability building.
• Taking solutions from experimentation through to sustainable business-as-usual handover.

Skills

Data modelling

Data integration

SQL

Data products

AI concepts

Data governance

Communication

Tableau

Snowflake

Azure

Python

Education

Relevant tertiary qualification

Tools

Tableau

Snowflake

Azure

Salesforce

Genesys

Python

Job description

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Data Solutions & Emerging Technology Specialist

Reference: 35646

RACV

550 Princes Highway Noble Park

30 Oct 2026

• Melbourne, Victoria | RACV Head Office/Noble Park office
• Full time | Hybrid Working
• A Competitive Salary | Discounts on Selected RACV Products

About the opportunity

Join RACV’s Corporate & Member Services division in a hands-on specialist role at the intersection of data engineering, analytics and emerging technology. You’ll build and enable practical, trusted data solutions and help the division get value from new and emerging technology capabilities. Working closely with Data, Technology and business teams, you’ll help ensure new data is captured, connected and transformed into meaningful reporting, analytics and insights that improve business, member and employee outcomes.

What you'll do

• Designing and delivering data solutions including pipelines, models, dashboards, reporting products and automation
• Sourcing, integrating and transforming data from existing and emerging sources into trusted, reusable data assets that support reporting, analytics and decision-making
• Working with stakeholders to define business problems, success measures and expected outcomes before selecting or designing a solution
• Leading divisional proof-of-concepts and pilots across emerging technologies, including generative and agentic AI, intelligent automation and advanced analytics, with a focus on data requirements, capture and analytical opportunities
• Partnering with Technology and Data teams to ensure solutions align with enterprise architecture, platform standards and the broader data roadmap
• Evaluating emerging technologies based on business value, scalability, technical feasibility and risk
• Building data governance, privacy, security and quality into solutions from the outset
• Translating complex technical concepts into clear recommendations for business and executive stakeholders
• Supporting divisional adoption of new data and technology capabilities through documentation, guidance and capability building
• Taking solutions from experimentation through to sustainable business-as-usual handover

What you’ll bring

• At least five years’ experience in data, analytics, digital or technology solutions, including at least two years working with AI, automation or advanced analytics
• Strong hands-on capability across data modelling, integration, transformation, SQL, with experience of developing end-to-end data, analytical or reporting products
• Strong understanding of generative and agentic AI concepts, including prompting, knowledge grounding, guardrails and evaluation, and the data requirements associated with AI-enabled solutions
• Strong analytical, problem-solving and commercial judgement

  What you’ll bring

  • At least five years’ experience in data, analytics, digital or technology solutions, including at least two years working with AI, automation or advanced analytics
  • Strong hands-on capability across data modelling, integration, transformation, SQL, with experience of developing end-to-end data, analytical or reporting products
  • Strong understanding of generative and agentic AI concepts, including prompting, knowledge grounding, guardrails and evaluation, and the data requirements associated with AI-enabled solutions
  • Strong analytical, problem-solving and commercial judgement
  • A sound understanding of data governance, privacy and risk
  • The ability to communicate technical concepts and trade-offs effectively to both technical and non-technical audiences
  • A relevant tertiary qualification or equivalent demonstrated experience

  Highly regarded

  • Experience with Tableau, Snowflake, Azure, Salesforce, Genesys and other modern data and analytics platforms, along with Python and DataOps/MLOps practices, will be highly regarded

  Why RACV?

  • Work for a purpose-led organisation that puts members and people first
  • Generous discounts across RACV products and Services
  • Hybrid working and a vibrant CBD office
  • A genuine commitment to your career development, wellbeing and work-life balance
  • A values-driven culture (IACT) where you can truly be at your best

  The RACV difference

  Curious about where this role could take you? Explore endless opportunities a diverse business can provide and growyour career in more ways than one.

  Applicants will be required to provide evidence of their eligibility to work in Australia, and consent to a criminal record check.

  At RACV, we believe that maintaining a diverse and inclusive workplace is an important element in our continued success. We want our people to feel welcome, supported and appreciated for who they are and what they bring to our business. If you require any reasonable adjustments to the recruitment process and/or the role, please let our Talent Acquisition Team know.