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Melbourne, Australia
10 months ago
- Be an expert member of a Team of data modelling professionals - As a senior member of the group provide guidance to other data modellers - Undertake data modelling and related activities associated with the role and the job type - Support Enterprise data models – Normalised and Dimensional - Develop and implement data modelling principles and processes - Develop and implement data asset governance processes, and ensure adherence to these standards - Provide leadership to project and engineering teams on matters of modelling and data architecture - Advisory to internal data governance and architecture forums - Provide Consultancy and education to the enterprise in relation to data conformance and modelling Key Decision Making: - Construct and review data models in accordance with standards - Develop and embed good data modelling and data asset governance practices - Working with others make decisions on data models and work with the head to refine, approve and present ideas and data models for larger enterprise approval Key Accountabilities: - Review, design, manage, uplift enterprise data models for strategic data platforms - Provide effective governance of model development Stakeholders - Work with a number of stakeholder groups including enterprise data and architects - Work with data delivery and orchestration teams, analytics and insights teams, data provisioning platform and architecture teams - Leadership teams include some senior stakeholders - Banking Business SME’s, data steward Key Performance Indicators Meet the following key job requirements: - Ensure the correct levels of compliance of data models built to enterprise standards - Turnaround of model design / governance requests - Proactively manage risk meeting all policy and compliance requirements; perform controls, adhere to process and procedures pertinent to the role and escalate events, issues or breaches as they are identified to the relevant controls and escalation forums. Capabilities, Responsibilities and Qualifications - Essential Capabilities - Logical and Physical data modelling in complex environments – spanning traditional data warehousing to the Cloud Data Platform - Experience in different modelling methodologies including 3NF, Dimensional and Data Vault - Results Driven, analytical and creative thinking - Innovative problem solver - Self-motivated and proactive - Highly organised - Has strong stakeholder relationship management - Prior experience working in a agile squad environment with minimal supervision Other Capabilities - Highly desirable – Proficient and experienced with Erwin and IBM/FSLDM industry data model - Highly desirable – Banking Domain background - Strong SQL knowledge will be very useful Experience - 7+ years of data modelling and or data architecture experience – proven credentials where the person played a leadership role in this expertise - Sound knowledge of data modelling practices and processes - Demonstrated record of building trusting relationships and business partnering and key internal stakeholders - Experience in large enterprise and financial services firms - Managed teams of greater than 6 people - Education level – Degree in Computer Science or related field - Candidate must have relevant VISAs, Australian PR or Australian Citizenship; - Understanding of Financial Services Industry could be highly advantageous.