Data Product Manager

1 day ago


Docklands, Australia AGL Energy Full time

Join the change. Together, we’ll make history.

As we keep the lights on for over four million customers and move towards a more sustainable way of life, it’s an exciting time to be at AGL. We’re re-imagining how homes and business live and work across the country and we want you to be a part of it. This moment will define our time, and your career as you work alongside Australia's best and brightest minds. You’ll grow and learn in a collaborative, safe and supportive environment and play your part in changing the course of tomorrow.
Everyone at AGL is an important part of building a better energy future and we want you to join in.

About the role:
Our Electrification & Innovation (E&I) business helps Australians transition to a cleaner energy future by rapidly developing sustainable electrification products. We invest in new ideas to create transformative solutions.

The Data Product Manager plays a crucial role in facilitating informed decision-making and improving efficiency across the E&I product portfolio by managing the team's data capabilities. This includes sourcing, cleaning, and analysing data, as well as automating data processes for Value Streams and other teams. The role involves collaborating with AGL stakeholders to access vital data, overseeing E&I’s data governance for compliance with Australian Data Protection laws, and managing the entire data product lifecycle.

What you’ll be doing:
- Maintain strong stakeholder relationships across multiple data system owners.- Maintain industry trends and identify external data sources that are useful to E&I.- Take ownership of all data governance and data management processes.- Effectively communicate insights to stakeholders and prepare presentations and dashboards for the E&I leadership team.- Ensure the accuracy, completeness and reliability of data. About you:
- Previous demonstrated experience using data visualization tools such as Power BI, Adobe Analytics and/or other reporting tools, with expertise integrating data from multiple platforms.- Proficiency in data analysis tools and techniques, including extract, transform and load processes.- Ability to distil new and evolving advanced data science concepts into meaningful opportunities to positively shape our product roadmaps- High attention to detail with the ability to prioritise and work to tight deadlines.- Strong stakeholder management skills with the ability to present and strongly communicate outcomes to non-technical individuals.- Ability to work collaboratively in a fast-paced environment, managing multiple priorities and deadlines.

At AGL, we offer a wide range of benefits including:
- Flexible working options including hybrid work.- Discounts on energy, telcos and solar plans.- Participate in Energise - our reward & recognition program.- Access 20 weeks of paid parental leave for the primary carer.- Access to an additional week of recharge leave per year.- Play an active role in our diversity & inclusion initiatives.- Novated leasing and Electric Vehicle subscriptions.- Access to study assistance, AGL’s share purchase plan and insurance deals.
- _Benefits may change over time and vary based on role type and location_

Inclusion at AGL

At AGL, we value diversity and welcome applicants from various backgrounds, including Aboriginal and/or Torres Strait Islander peoples, individuals with disabilities, culturally diverse individuals, and members of the LGBTQ+ community. AGL is dedicated to maintaining a diverse workforce and encourages applicants to share their lived experiences.
We offer reasonable adjustments throughout the recruitment process and respect the privacy of those who choose not to disclose. To learn more visit:
AGL is a Circle Back Initiative employer - we commit to respond to every applicant.
- Our pre-employment screening process includes a Nationally Coordinated Criminal History Check and a medical assessment if necessary._
- AGL Privacy Policy_
- ._

Location:
Docklands VIC 3008

Job Family Group:
Analytics and Data Science


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