Data Coe Lead

2 months ago

Brisbane, Australia Talent International Full time

australia brisbane contract au$900 - au$1100 per day + atractive salaryTalent International is searching for experienced Data CoE Lead to join our client, a large healthcare provider. This is a 6-month contract position based in Brisbane.

**About the Role**:
The purpose of this role is to transform the delivery of value from the client’s data assets through an accelerated design, and iterative operation of a data centre of excellence.

**Responsibilities**:
This role will collaborate extensively with stakeholders including senior D&T and organisation leaders and SME’s to:

- Define the CoE objectives, immediate-term priorities and KPIs based on a thorough understanding of key stakeholder priorities for data insight enabled business outcomes (e.g. revenue growth, profitability, cost optimisation, customer satisfaction/Net Promoter score, risk reduction).
- Define a high-level Data Centre of Excellence (eg. hub and spoke) operating model including the establishment of CoE roles, processes, capabilities and frameworks and KPI / success criteria.
- Define a 2-3 high priority Pilots with a sample of business areas to test the Data CoE delivery model and assess value with learnings and recommendations to be documented per each pilot.
- Develop a roadmap for the Data CoE comprising concurrent streams (eg. delivery of high priority data analytics initiatives, uplifting the organisation’s data culture and data talent, implementation of data governance including data domains, data stewards, data quality and related methods, practices, standards, tools and technology and delivery of associated business cases, as required).
- Create senior-level presentations to help communicate insights, aligning stakeholders and driving effective decision making

**Skills and Experience Required**:

- Bachelor’s degree or higher in Data Science, Data Analytics, Computer Science, Information Technology or Management, or related discipline or equivalent proven and successfully industry skills and experience.
- Broad experience across the following areas:

- Analytics and business intelligence delivery (eg. diagnostic, descriptive, predictive and prescriptive analytics approaches);
- Data science and AI (eg. graph analysis, machine learning and natural language processing); data management (eg. data integration (ETL) or metadata),
- Information/data architectures (eg. data fabric, data mesh, data warehouse, data lake or data hub)
- Data Structures (eg. structured, semi-structured and unstructured data).
- Data and analytics governance (eg. Master Data Management, data quality and data stewardship practices), data security, privacy access, and other compliance and regulatory governance practices
- 3. 5+ years’ experience in leading delivery of strategic data initiatives and the agile achievement of measurable business or enterprise value through major data-driven insights.
- Proven collaboration, and team leadership capability including mentoring of data engineering, and data analytics talent.
- Contemporary knowledge and experience of information and analytics platforms and tools and modern data architectures, technologies and platforms (eg. cloud, data pipelines, data streaming, real-time analytics).
- Demonstrated experience in the development and implementation of practical and valued data architecture practices including data governance, master data management, data quality and enablement strategies.
- Proven collaboration, and team leadership capability including mentoring of data and analytics talent.
- Extensive proven and successful experience leading transformational change in technology environments (eg. SaaS platforms, Integration / API / Digital Integration Hub, Cloud and/or, architecture leadership).

**How to Apply**:

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