Shape the enterprise information architecture that underpins critical communications services across NSW.
Locations (4)
Sydney, New South Wales, Australia
Gosford, New South Wales, Australia
Bathurst, New South Wales, Australia
Newcastle, New South Wales, Australia
Compensation
Salary range: $133,348-146,945 + superannuation and leave loading
Responsibilities
Develop and maintain enterprise data and information architecture across telecommunications, geospatial, operational and corporate domains.
Define enterprise data models, architecture standards, governance frameworks and integration patterns to support consistent information management across the organisation.
Translate complex business and operational requirements into practical data architecture and information management solutions.
Provide architectural guidance on integration strategies, platforms and cloud-based data solutions.
Collaborate with engineering, operations, service management and project teams to develop target-state and reference architectures.
Design, develop, and maintain scalable data pipelines and architectures to support business analytics and reporting needs.
Locations (2)
Sunnyvale, California, United States
Bentonville, Arkansas, United States
Compensation
Sunnyvale, California US-11807: The annual salary range for this position is $117,000.00 - $234,000.00
Bentonville, Arkansas US-10735: The annual salary range for this position is $90,000.00 - $180,000.00
Additional compensation includes annual or quarterly performance bonuses.
Additional compensation for certain positions may also include : Stock
Responsibilities
Design, develop, and maintain scalable data pipelines and architectures to support business analytics and reporting needs
Extract, transform, and load data from internal and external sources using ETL and streaming techniques
Collaborate with stakeholders to translate business requirements into effective data solutions aligned with strategic goals
Implement data modeling, governance, and quality standards to ensure accuracy, accessibility, and compliance
Develop and optimize SQL and other code to support data integration, transformation, and analysis
Vice President, Reinsurance Data, Analytics & Business Performance
Responsible for leading the strategy, roadmap, and delivery of data, reporting, analytics, and business performance capabilities across Everest's Reinsurance organization. Serving as a liaison between business and technology.
Compensation
The base salary range for this position is $201,000 - $245,000 annually.
Responsibilities
Develop and execute the Reinsurance data, analytics, reporting, and business performance strategy aligned with business objectives and enterprise data priorities.
Partner with senior leaders across Underwriting, Claims, Finance, Operations, and Executive Management to identify priorities and deliver data-driven solutions.
Own the Reinsurance data and analytics roadmap, translating business strategy into a prioritized portfolio of data, reporting, and analytics initiatives.
Collaborate with Technology and Enterprise Data & Analytics teams to define requirements, prioritize investments, and deliver scalable data and analytics capabilities.
Lead the development and continuous enhancement of operational, management, and executive reporting solutions.
Lead development and deployment of homeowners insurance pricing and risk models, including GLM and machine learning approaches, while mentoring junior data scientists and collaborating with actuarial, product, and engineering teams.
Compensation
Pay Range:* $138,800 - $194,300 annually
Responsibilities
Contribute to modeling standards and best practices for insurance pricing and risk modeling
Support and mentor junior data scientists through code review, knowledge sharing, and technical guidance
Build, validate, and deploy GLM-based models for homeowners insurance pricing
Build machine learning models (GBMs, neural networks, etc.) that drive underwriting accuracy, competitive positioning, and profitability
Develop ensemble models predicting insured-level profitability, customer retention, and conversion
Requirements
Master’s or PhD in Statistics, Mathematics, Computer Science, or a related quantitative field
Lead and provide technical leadership for multiple data‑engineering teams supporting the Wealth domain, driving architecture, design, and end‑to‑end data pipeline delivery.
Compensation
$168,550 - $191,850
Responsibilities
Lead four data‑engineering teams supporting the Wealth domain
Provide hands‑on technical leadership across architecture, solution design, implementation, and engineering quality
Review technical designs and code, challenge engineering decisions constructively
Guide the development and operation of end‑to‑end data pipelines with a focus on Databricks
Establish and reinforce engineering standards for data quality, error handling, monitoring, and reliable pipeline development
Requirements
Bachelor’s or master’s degree in Computer Science, Engineering, Information Technology, or a related field of study.
Nice to have: Direct experience with Databricks and Spark
Nice to have: Experience leading globally distributed or offshore engineering teams
Nice to have: Experience establishing engineering standards across multiple teams or domains
Nice to have: Experience within financial services, retirement, wealth management, or investment‑related data environments
A Data Architect who combines strong foundations in data management, data engineering, and software engineering to design and implement data systems for critical national importance problems, specifically focusing on enterprise-wide data management for the Intelligence Community.
Compensation
$171,000 - $213,500 - $256,000 Annual
Responsibilities
Development of enterprise data architectures, data management roadmaps, data strategies, and implementable technical plans.
Design and evaluation of data schemas, metadata schemas, data workflows, and data integration patterns.
Alignment of modern data management capabilities to enterprise-wide mission needs.
Development or assessment of data governance models, stewardship approaches, policies, standards, and operating models.
Evaluation of technical and programmatic blueprints supporting enterprise-wide data management adoption.
Design, build, and maintain data platforms and products that support credit decisioning, risk analytics, regulatory reporting, and machine learning initiatives.
Compensation
O'Fallon, Missouri: $92,000 - $147,000 USD
Responsibilities
Design, develop, test, and maintain scalable data pipelines, transformations, and datasets supporting ECR products and initiatives.
Build and optimize ETL/ELT workflows using technologies such as SQL, Python, Databricks, and Spark.
Develop and maintain curated data products that support reporting, analytics, credit decisioning, and other business use cases.
Partner with Product, Risk Analytics, Data Science, and Engineering teams to understand requirements and translate them into effective technical solutions.
Implement data validation, testing, and quality controls to ensure data accuracy, consistency, and reliability.
Requirements
Bachelor’s degree in Computer Science, Engineering, Information Systems, or a related STEM discipline
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