Data Operations Manager

5 days ago

Wellington City, New Zealand Datacom Full time

Our Why
Datacom works with organisations and communities across Australia and New Zealand to make a difference in people’s lives and help organisations use the power of tech to innovate and grow. 
About the Role (Your Why)
THIS ROLE CAN BE WORKED FROM ANY DATACOM OFFICE IN NZ
Are you passionate about driving data excellence and optimizing enterprise data systems? We’re looking for a Data Operations Manager to lead our team in ensuring the efficiency, optimization, and reliability of our Enterprise Data Warehouse, Operational Data Lake, and associated data platforms within Group Data.
In this role, you’ll manage a talented team that provides operational support for key data assets (EDW, Data Lake, Connect DW, and Azure Infrastructure). Your leadership will be crucial in maintaining seamless ETL processes, enhancing ETL designs, ensuring system availability and uptime, and supporting our technical architecture and reporting needs. You’ll have the opportunity to work with cutting-edge data technologies, collaborate across departments, and make a meaningful impact on how data supports business decisions.
What you’ll bring
- Technical Skills: Change control, SQL, Change Processes, Microsoft Azure, Microsoft Fabric, Data Warehouse experience, Dimensional Modelling experience
- Deep and broad knowledge of the complexities of a busy data management platform in an enterprise BAU environment
- Demonstrated experience in managing people and teams in a data BAU environment
- Working domain knowledge of business processes including Finance and Resource Management and related Data Modelling skills.
- Strong software engineering and coding skills, ideally in a data intensive management environment.
- Ability to communicate complex quantitative analysis in a clear, precise, and actionable manner

**Responsibilities**:

- Implementing and supporting data management policy and standards for data usage, movement, collection, consolidation, interpretation and security specifically relating to ETL/DW and the Data Lake
- Managing and co-ordinating change into production systems.
- Develop new and improve existing data processes and models for the various domains curated in the EDW. Including but not limited to Finance, Sales and Business Operations Support.
- Maintaining and supporting the enterprise data warehouse so that it provides; a single source of truth, data structures appropriate to support flexible BI and analytics, cost effective data preservation and summarised data to other systems as required
- Enhancing and developing existing data policies and working with the broader team to cleanse and govern data where practical and possible
- Managing the centralised reference data management service for managing customer, product and service records for Datacom. Enhancing the existing repository of data sets, data flows, data definitions and data taxonomy reflecting enterprise data model for the purpose of classification and knowledge management

Culture and Benefits
Datacom is one of Australia and New Zealand’s largest suppliers of Information Technology professional services. As an ANZ company, we have managed to maintain a dynamic, agile, small business feel that is often diluted in larger organisations of our size. It's our people that give Datacom its unique culture and energy that you can feel from the moment you meet with us.
At Datacom you'll be recognised and valued for your contributions. We're growing year on year and can provide stability, career opportunity and a collegial, agile, flat-structured environment that empowers people and promotes autonomy. We care about our people and provide a range of perks such as social events, chill-out spaces, remote working, flexi-hours and professional development courses to name a few. We operate at the leading edge of technology to help ANZ’s largest enterprise organisations explore possibilities and solve their greatest challenges, so you will never run out of interesting new challenges and opportunities.

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