Data Solutions & Emerging Technology Specialist

RACV; United States; Hybrid; USD 103,000 - 131,000; Full time

Benefits offered by this job

Discounts on RACV products

Hybrid working

Job summary

RACV in Melbourne seeks a hands-on data engineer to join its Corporate & Member Services division. You’ll design and deliver data pipelines, models and dashboards, transforming diverse data sources into trusted assets for reporting and insights.

You will partner with technology and business teams to ensure solutions align with architecture and roadmap, exploring AI and emerging analytics to drive member and employee outcomes.

Qualifications

• Five+ years in data, analytics or technology roles with AI/automation experience.
• Proficient in data modelling, SQL and end-to-end data products.
• Ability to translate technical concepts for stakeholders.

Responsibilities

• Design and deliver data solutions including pipelines, models and dashboards.
• Integrate data from diverse sources into trusted assets for reporting.
• Define business problems and success metrics with stakeholders.
• Lead POCs in emerging technologies focusing on data requirements.
• Ensure alignment with enterprise architecture and data roadmap.
• Assess emerging tech for value, feasibility and risk.
• Embed governance, privacy and quality by design.
• Communicate complex concepts to business and execs.
• Support adoption through documentation and capability building.
• Move solutions from experimentation to business-as-usual.

Skills

Data analytics

AI & automation

Data modelling

SQL

Generative AI

Stakeholder communication

Data governance

Education

Tertiary qualification

Tools

Tableau

Snowflake

Azure

Salesforce

Genesys

Python

DataOps/MLOps

Job description

• - 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
• - 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.

Application process

You can learn more about the RACV at careers.racv.com.au

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.