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Robert M. Clark  /  Wannon Water  /  Industry Report

Victorian Water · Data & Analytics

The sector the role sits in: state-owned water corporations, an economic regulator that runs on reported data, and a data-platform uplift that is moving utilities off spreadsheets and onto governed cloud analytics.

◉ Sector Overview

A regulated sector that runs on its own data.

Victoria's urban water is delivered by state-owned water corporations constituted under the Water Act 1989 — three metropolitan retailers and Melbourne Water in the city, and a set of regional urban corporations across the rest of the state. Wannon Water is the second-largest of the regional corporations by service area, covering roughly 23,500 km² of south-west Victoria from the South Australian border across to Lismore.

The sector is economically regulated by the Essential Services Commission (ESC), which sets prices through multi-year determinations and holds corporations to published performance reporting. Water balances and resource data are reported to DEECA through the Victorian Water accounts. The practical effect is that a water corporation's data is not a back-office concern — it is the substance of regulatory compliance, asset planning, and customer outcomes all at once.

Across the sector, the data function is mid-stream on an uplift: moving from siloed operational, asset, spatial and billing systems toward governed, central analytics on Microsoft and Azure platforms. The role being advertised — building pipelines, models and reporting on Azure Data Factory, SQL and Power BI, and making the resulting assets trusted and reusable — is a direct expression of where the sector is heading.

◉ Sector Metrics

The numbers that frame the function.

Wannon Water Rank
2nd largest
Regional urban water corporation in Victoria, by service area
Service Area
23,500 km²
Five LGAs — Warrnambool, Corangamite, Glenelg, Moyne, Southern Grampians
Supply Systems Operated
15
Surface water, groundwater and blended — each a distinct data footprint
Economic Regulation
ESC
Multi-year price determinations + published performance reporting
Resource Reporting
DEECA
Victorian Water accounts — annual water balance & recycling data
Cloud BI Adoption
Rising
Azure + Power BI / Fabric consolidating siloed reporting across the sector
Asset Data Maturity
Uneven
Ageing-infrastructure planning driving demand for governed asset analytics
AI in Utilities
Emerging
Named in the role brief as design intent — automation, AI, future analytics
◉ Platform Landscape

The data stack a regional water corporation runs — and where I sit on it.

Layer What it does Where I sit
Azure Data Factory Pipeline orchestration and data movement on Azure — the role's named tool Built equivalent orchestration by hand at group scale (six ERPs)
SQL Enterprise data platform and modelling layer Native — source-side at enterprise scale
Power BI Business intelligence, reporting and dashboards Native — full enterprise business builds
Microsoft Fabric Unified data platform consolidating the Microsoft estate Adjacent — Power BI / Azure native ground
GIS (Esri) Spatial and network asset data across the supply systems Domain-adjacent — spatial and asset data
Asset Management Infrastructure lifecycle, maintenance and capital planning Domain-adjacent — planning and projection systems
SCADA / Telemetry Operational sensor data from treatment and network Domain-adjacent — operational data into reporting
Billing / CIS Customer information and revenue systems Domain-adjacent — finance / operations reporting
◉ Trends Shaping 2026

Where the sector's data function is pointed.

Regulatory reporting is forcing single governed data surfaces.
ESC determinations and DEECA water accounts run on reported data with audit expectations. The pressure is converting "we should have one trusted version of the numbers" into funded work to build governed, reusable reporting assets — exactly the mandate in the role brief.
Cloud BI is consolidating siloed reporting.
Operational, asset, spatial and billing data have historically lived in separate systems with reporting stitched together in spreadsheets. Azure Data Factory, SQL and Power BI / Fabric are the platforms utilities are standardising on to pull those sources into one place — pipelines, models, and enterprise reporting over a unified estate.
Asset and water-security analytics are rising.
Ageing infrastructure, multi-year capital programs like the $52M Quality Water for Wannon Program, and climate-driven water-security planning all increase demand for trustworthy asset and projection analytics — the difference between reacting to failures and planning around them.
AI and automation moving from interesting to expected.
The role brief names automation, AI and future analytics as the reason data assets must be governed and reusable from the outset. The skill gap is less "can you use the AI feature" and more "are the underlying data assets trustworthy enough to build automation on" — a governance and data-architecture problem first.
Regional utilities compete for scarce data talent.
Enterprise data-build depth tends to concentrate in metropolitan markets. For a regional corporation, a candidate who is already local, set up for hybrid work, and carrying enterprise-scale build history is a rare combination — retention rather than a relocation gamble.
◉ Sources

Where this report draws from.

ESSENTIAL SERVICES COMMISSION · VICTORIAN WATER PRICE & PERFORMANCE REPORTING
DEECA · VICTORIAN WATER ACCOUNTS · LOCAL WATER REPORTS
WANNON WATER · NEWSROOM & CAREERS · WANNONWATER.COM.AU
CONNECT WARRNAMBOOL · WANNON WATER PROFILE
WATER ACT 1989 (VIC) · STATUTORY CORPORATION FRAMEWORK
PUBLIC JOB LISTING · DATA & ANALYTICS OFFICER · 2026
INDUSTRY RESEARCH · AU UTILITIES DATA PLATFORM ADOPTION · 2026