
Enterprise Transformation Strategist
5 days ago
About This Opportunity
We are seeking an experienced Enterprise Architect to drive business transformation through strategic planning and solution design.
This exciting opportunity is for a seasoned professional to join our team in Sydney or Melbourne, working with clients to develop comprehensive plans that achieve their goals.
Key Responsibilities
Conduct thorough assessments of client operating models to identify areas for improvement and develop strategic plans to enhance operational performance.
Design capability models to support business improvements and address client requirements, ensuring seamless integration with existing systems.
Collaborate with client stakeholders to understand guiding principles and decision drivers for digital solution selections, leveraging AI-driven insights to inform strategic decisions.
Elicit and assess functional requirements and processes, preparing detailed fit/gap assessments to ensure alignment with client goals.
Design solution visions and executable roadmaps to address client business requirements, incorporating emerging technologies and architectural patterns to differentiate the solution.
Evaluate and recommend business, technology, and infrastructure architecture, staying up-to-date with new and evolving solutions and technologies through research and case studies.
Oversee the delivery of enterprise architecture/roadmap as the Engagement Lead, promoting an AI-driven mindset and helping teams adopt new technologies and workflows.
Leverage AI to distill complex data into actionable insights and maintain high-quality datasets, enhancing the enterprise architecture framework and toolsets to support project delivery.
Provide specialist product knowledge and domain expertise during sales opportunities, contributing to RFP/RFI responses with architectural insights and technical differentiators.
Participate in client presentations to explain architectural vision and transformation strategy, selecting deployment models (cloud, on-premises, hybrid) and ensuring integration with existing systems.
Use AI to enhance architecture diagrams and patterns, providing input on effort estimation, delivery models, and risk mitigation strategies.
Collaborate with internal teams to align presales architecture with delivery capabilities, introducing emerging technologies and architectural patterns that differentiate the solution.
Design end-to-end AI pipelines, including data ingestion, model training, deployment, and monitoring, understanding ML frameworks and statistical modeling.
Ensure AI systems align with policies and evolving regulations, evaluating and integrating AI tools with enterprise data platforms and analytics systems.
Use generative AI to produce executive summaries and dashboards, identifying risks like model bias and ensuring responsible AI practices.
Build and compare transformation scenarios using AI-generated insights.
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