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AGL

Manager Operations Diagnostics & Analytics

Job Posted 7 Days Ago Posted 7 Days Ago
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CORP Colony, Tondiarpet, Chennai, Tamil Nadu
Senior level
CORP Colony, Tondiarpet, Chennai, Tamil Nadu
Senior level
Lead operations diagnostics and analytics team, develop predictive models, provide data-driven performance insights, and support asset optimisation using AI and ML.
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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. 

AGL has a newly created opportunity for Manager Operations Diagnostics & Analytics to lead our Operations Diagnostics & Analytics team.

Based in Melbourne, this team will be responsible for analytical support of AGL’s operational assets, providing operational monitoring and diagnostics of plant condition, develop and maintain predictive models and lead the development of Engineering Analytics, including the use of Artificial Intelligence (AI), Large Language Models (LLM) and Machine Learning (ML).

This team is responsible for providing data-driven performance insights to support assets with plant and process optimisation.

What you’ll be doing:

  • Drive the Operations Diagnostics & Analytics team to support sites with plant and process optimisation
  • Developing centralised leadership for all operations, diagnostics and analytics functions across asset services.
  • Identify opportunities for data-driven insights through maintaining stakeholder relationships across operational sites.
  • Developing sophisticated models and applications to support advanced analytics engineering and converting insights to performance value.
  • Develop use cases and deploy solutions using AI, ML and LLM.
  • Leading and developing Operations Diagnostics & Analytics through pattern recognition, automated triage model, alerts and predictive and preventative operational modelling.

What you’ll bring:

  • Tertiary qualifications in engineering or equivalent
  • Demonstrated ability to influence key stakeholders and drive a positive culture through active consultation and implementing change.
  • Significant experience in an operations environment (e.g. power generation, oil & gas or mining).
  • Experience implementing various Azure products such as DevOps pipelines, web apps, function apps, SQL servers or similar.
  • Experience in Engineering Analytics and AI, ML and LLM

Please submit your application by 10 April.

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: www.agl.com.au/careers 

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.

The information provided as part of your application to AGL will be managed in accordance with the AGL Privacy Policy.

AGL does not accept agency submissions unless approval has been granted by a member of the Talent Acquisition team. Candidates submitted by an agency without approval will not be considered by AGL.

Location:

Docklands VIC 3008

Job Family Group:

Project Management - Group

Top Skills

AI
Azure Devops
Llm
Ml
SQL Server

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