Make meaningful impact in a values-driven organisation.
At Murrumbidgee Irrigation (MI), we’re proud to be a regional leader delivering innovative irrigation solutions and supporting the communities we serve. Our job is simple - to deliver water in the best way possible.
We are seeking a Manager - Data Science Products with extensive leadership expertise in delivering enterprise-scale data platform solutions and transformative data science initiatives aligned with corporate objectives. The role is pivotal in contributing to a team culture of innovation and continuous improvement.
Why join MI?
We offer:
- Competitive remuneration and access to salary packaging options
- Career development through mentoring, training and internal mobility
- Company benefits including annual skin checks and flu shots, an annual fitness payment, life insurance cover and access to other wellbeing initiatives.
- Excellent work-life balance with the opportunity to secure additional annual leave.
- Health and wellness programs, employee assistance program, company paid parental leave.
- Country living at its best with fresh air, cosmopolitan cafes and restaurants, thriving community all in a beautiful place (see www.countrychange.com.au for more info).
- A culture built on Clarity, Connection, Vulnerability and Improvement
About the role
MI is seeking an experienced Manager Data Science Products to lead the development of cutting-edge analytics products that shape how we plan, operate and improve our delivery network.
You’ll combine strong technical leadership with a product mindset partnering with stakeholders to move from problem to prototype to scaled, operational solutions. This is a permanent, full-time opportunity based in Griffith.
Key Responsibilities
- Own the end-to-end delivery of multiple initiatives from discovery and business framing through to operational handover and benefits realisation.
- Lead and coach a high-performing team to build, deploy and continuously improve data science products and services
- Translate complex operational challenges into practical analytics solutions (e.g., modelling, forecasting and monitoring) that lift asset performance, identify infrastructure risks, underpin new products/services and improve confidence in decision making.
- Strengthen and evolve MI’s analytics platform and delivery practices so solutions are scalable, well-governed and reliable in production.
- Build trusted relationships with internal leaders and external partners, influencing priorities and championing data-driven decision making.
- Model MI values by supporting team members, sharing expertise and fostering strong safety and leadership practices.
What you will bring
Essential:
- 5+ years of proven experience delivering end-to-end data science and analytics products in an operational environment (discovery through to deployment and handover).
- Strong technical foundations in modern data platforms and Lakehouse patterns (e.g., Azure/Databricks/Snowflake) with hands-on capability in Python, SQL and/or PySpark.
- Experience operationalising advanced analytics/AI models in a repeatable, governed way including monitoring, model performance management and continuous improvement.
- A product and customer mindset: you can translate stakeholder needs into clear problem statements, prioritised roadmaps and measurable outcomes.
- Confident leadership and communication skills able to coach and develop others, influence senior stakeholders, and explain complex concepts clearly.
- Tertiary qualifications in a technical discipline (Computer Science, Mathematics, Engineering etc.)
- Ability to foster a positive and productive relationship with internal and external stakeholders.
- Current ‘C’ class motor vehicle licence
For any questions, please contact Sam Yemanandra at MI on (02) 6962 0200 or via email at [email protected]
Applications close: when filled
Please complete the online , and attach the following documents:
- Cover letter addressing your ability to meet the Selection Criteria (listed in the advertisement as Requirements) - please include details and any evidence of relevant work experience and qualifications (at least one paragraph for each dot point)
- CV / Resume
If you require further information, please refer to the FAQ's on the careers page, or contact the Team at MI on (02) 6962 0200 | [email protected]
