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Evolution Mining | Group Manager Data

vor 2 Monaten


Sydney, Österreich Tideri Jobbörse Vollzeit

From humble beginnings in 2011, Evolution Mining is now a leading gold producer, operating six mines across Australia and Canada.
Enacting our vision to be inspired people creating a premier global gold company, we are indeed a bold team with a bright future.
Our operational diversity offers our employees access to many experiences and career opportunities within the one company.
So, whether you choose to work at one of our underground or open pit operations, explore for our future as part of our Discovery team, or join our Group Office, we know you'll have a bright future with us.

Working in our Group Office, you have a front row seat to our company vision and are a part of the bold, inspired teams who are engineering its success.
We're an agile, entrepreneurial company and we value smart people and creative thinking.
When you work with us, you'll always have the opportunity to progress from where you started.
Based in Sydney, our people work with teams located across Australia and Canada which makes for interesting work and countless ways to learn and grow.

At Evolution, we support, develop and reward everyone who chooses to be a part of our bright future.
Your benefits include relocation support assistance, novated car leasing, life insurance and income protection, short-term and long-term incentives, referral bonuses, a recognition program, study assistance, discounted health insurance and wellness days.

We understand that flexible work means something different to everyone and encourage you to have a conversation about the flexible work options available.

About the role The Group Manager – Data and Analytics, encompasses three primary responsibilities centered on enhancing the organization's Data & Analytics capabilities.
First, it involves providing operational support for the Data & Analytics Platform, ensuring its smooth functioning and continual improvement.
Second, the individual will be tasked with delivering the Data & Analytics roadmap, which includes implementing strategic initiatives that align with the organization's goals.
Finally, this role requires acting as a champion for Data & Analytics across the organization, promoting a culture that values data-driven decision-making.

The main focus will be on building out the data platform specifically for reporting purposes.
Following this development, the role will adopt a pragmatic approach to establish a robust analytics capability that effectively serves the business's needs.

Reporting directly to the General Manager Information Technology, you will be accountable for the following:
Collaborate with stakeholders at group and site levels to analyze information and develop medium-term plans (1 to 3 years) aligned with the IT strategic plan and business goals, focusing on improved operational outcomes.
Develop the annual department budget and set key performance indicators (KPIs) while clarifying internal customer support needs.
Identify and implement IT-related risk mitigation strategies.
Gather and analyze data for business cases and projects, staying informed about emerging technology trends in IT and mining relevant to Evolution Mining.
Deliver the Data & Analytics roadmap and develop supporting business cases.
Oversee vendors and partners to ensure timely, on-budget project completion with high-quality standards.
Establish project governance through Steering Committees and Working Groups.
Engage key stakeholders throughout the delivery of Data & Analytics projects.
Oversee operational management of data platforms to meet service level agreements (SLAs).
Coach team members and provide technical guidance to enhance processes and systems.
Manage a pipeline of platform enhancements and monitor project, team, and budget performance against objectives.
Emphasize alignment with ITIL best practices, particularly in IT incident, request, and change management processes.
About you To be successful in this role you are an analytical and communicative leader with an appropriate balance of business and technical acumen.
Furthermore, you will have the following qualifications competencies and experience:
Demonstrated experience leading a team.
10-15 years relevant technical and business experience in mid to large sized organisations with 5-10 years in a Leadership role.
Mining or resource industry experience in Data & Analytics preferred.
Proven experience overseeing the design, development, and implementation of a Data & reporting platform, preferable in a mature / best practice environment.
Proven experience in enabling an Analytics capability across a business.
Good understanding of data technologies and applications including Big Data, Data Lakes and Machine Learning.
Strong vendor management, including onshore / offshore experience.
Strong experience in enabling a data, reporting, and analytics capability within a low maturity environment.
Experience in finding the balance of uplifting capability, whilst delivering in parallel.
Experience in the delivery of organisation-wide technology projects, particularly in the realm of data and analytics, including managing and embedding change.
Experience in managing conflicting priorities, and ensuring focus remains on the organisational objectives.
This is a key leadership role with strong career progression.
This role offers a unique opportunity to significantly influence the company's future strategic and commercial direction.

At Evolution, as our name suggests, change and transformation is in our DNA.
We want the Evolution experience to be your career highlight.
We are an equal opportunity employer committed to creating a more inclusive and diverse workforce that represents the communities in which we operate.
We provide a recruitment process that is fair, equitable and accessible for all and candidates from all backgrounds are encouraged to apply.
We are focused on keeping our people safe and healthy and creating sustainable value in an environmentally and socially responsible way.
Join our bold team to start your next exciting chapter.

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