Watercare
HeadofData,Analytics&AI
Neural analysis suggests this role is
optimal for Senior candidates.
“Head of Data, Analytics & AI at Watercare. Skills: Data Strategy, Analytics, AI, Data Governance, Digital Twin, BIM. Establish and lead Watercare’s enterprise data, analytics and AI capability. Treat data and asset information as strategic organisational assets”
What You'll Achieve.
enable better decision-making; operational performance; asset stewardship; innovation; deliver measurable value; improve performance, resilience and risk management; incremental, outcomes‑focused delivery
Industry & Context.
translating business and operational challenges into data-driven solutions
What They're Looking For.
Must Have
Senior leadership experience in data, analytics or information management, understanding of data governance, analytics and insight delivery at enterprise scale, Experience translating business and operational challenges into data-driven solutions, The ability to influence executives and governance forums with confidence and clarity, A pragmatic approach that balances innovation, value, risk and ethical considerations
Nice to Have
Experience with BIM, Digital Twins or asset intelligence in infrastructure or regulated environments, Exposure to engineering, spatial or asset lifecycle data in large organisations
What You'll Do.
Establish and lead Watercare’s enterprise data
analytics and AI capability
Treat data and asset information as strategic organisational assets
Enable better decision-making
operational performance
asset stewardship and innovation
Provide strategic leadership across data strategy
Building Information Management (BIM) and Digital Twin capability
Set the enterprise direction
governance and operating model for how data is managed
Ensure advanced analytics and AI are adopted in a pragmatic
ethical and value-driven way aligned to Watercare’s infrastructure and service outcomes
Define and maintain Watercare’s enterprise data
AI and Digital Twin strategy aligned to organisational priorities and asset lifecycle needs
Establish and embed enterprise data and asset information governance
including policies for data quality
retention and ethical use
Lead the development of enterprise analytics
insight and asset intelligence capability to support operational
capital planning and executive decision‑making
Provide leadership on responsible adoption of advanced analytics
ensuring initiatives are secure
governed and deliver measurable value
Oversee development of Digital Twin capability
spatial and sensor data to improve performance
resilience and risk management
Ensure data platforms
BIM tools and analytics solutions align with enterprise architecture and are scalable
interoperable and sustainable
Partner with delivery teams to prioritise data and analytics initiatives and ensure incremental
outcomes‑focused delivery
Act as a trusted advisor to executives on data‑driven decision‑making and analytics maturity
Build and lead high‑performing data
analytics and AI teams
uplifting capability and data literacy across the organisation
How You'll Work.
Team & Collaboration
Partner with delivery teams to prioritise data and analytics initiatives; Build and lead high‑performing data, analytics and AI teams; Uplifting capability and data literacy across the organisation
Communication Scope
translate complex data, analytics and AI concepts into clear, business-relevant value; influence executives and governance forums with confidence and clarity
Process & Methodology
outcomes‑focused delivery
Full Job Description
**He kōrero mō mātou | About Watercare** Ki te ora te wai, ka ora te whenua, ka ora te tangata _When the water is healthy, the land and the people are healthy_ Now is an exciting time to join Watercare, we're planning to spend $14 billion over the next 10 years to ensure we can continue to support our growing city in a climate-resilient way. When you average that out, that's an investment of $3.8 million every day! **He whakamārama mō te tūranga mahi | About the role** We are seeking an experienced Head of Data, Analytics & AI to establish and lead Watercare’s enterprise data, analytics and AI capability. Reporting to the Chief Digital Officer, this senior leadership role is accountable for treating data and asset information as strategic organisational assets - enabling better decision-making, operational performance, asset stewardship and innovation. This role provides strategic leadership across data strategy, analytics, AI, Building Information Management (BIM) and Digital Twin capability. You will set the enterprise direction, governance and operating model for how data is managed, trusted and used, while ensuring advanced analytics and AI are adopted in a pragmatic, ethical and value-driven way aligned to Watercare’s infrastructure and service outcomes. **Ngā kawenga matua | Key responsibilities** • Define and maintain Watercare’s enterprise data, analytics, AI and Digital Twin strategy aligned to organisational priorities and asset lifecycle needs • Establish and embed enterprise data and asset information governance, including policies for data quality, standards, classification, lineage, retention and ethical use • Lead the development of enterprise analytics, insight and asset intelligence capability to support operational, capital planning and executive decision‑making • Provide leadership on responsible adoption of advanced analytics, AI and Digital Twins, ensuring initiatives are secure, governed and deliver measurable value • Oversee development of Dig
Applying for this Head of Data, Analytics & AI role?
Most applicants get filtered before a human reads their resume. See if yours makes the cut.
How to Apply on Workday
- Workday has a multi-step form — save your progress after every section.
- "Apply With LinkedIn" can fail or lose data; manual entry is more reliable.
- Watch for the "Submit for Review" final step — hitting "Save" alone does not submit.
- Job requisition numbers are useful when following up with HR by email.
ANONYMOUS · UNFILTERED
What do employees actually say about Watercare?
Real rants from real employees. Read before you apply.