Architect, build, and deliver AI-powered automation for Audit and Assurance, using modern data and prompt engineering, Python, and AWS technologies (Bedrock, OpenSearch, and more).
Design and implement tailored AI workflows and automation tools to optimize audit quality and processes.
Lead workshops and training to build team capability and embed AI best practices.
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Manage the technical aspects of a financial crime system implementation throughout the entire project lifecycle, from initial planning to deployment and post-implementation support, including:
Manage other data analytics engagements, including:
Understand the goals of our clients and Deloitte and align our people to these objectives, setting clear priorities and direction.
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Manage the technical aspects of a financial crime system implementation throughout the entire project lifecycle, from initial planning to deployment and post-implementation support, including:
Proactively identify, assess, and mitigate technical risks and issues that could impact project timelines, scope, or quality. Develop and implement strategies to address technical challenges effectively.
Collaborate with cross-functional teams and stakeholders to ensure technical solutions align with organisational standards and project objectives.
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Manage the technical aspects of a financial crime system implementation throughout the entire project lifecycle, from initial planning to deployment and post-implementation support, including:
Proactively identify, assess, and mitigate technical risks and issues that could impact project timelines, scope, or quality. Develop and implement strategies to address technical challenges effectively.
Collaborate with cross-functional teams and stakeholders to ensure technical solutions align with organisational standards and project objectives.
...
Collibra Implementation: Lead the end-to-end setup of the Collibra Data Intelligence Cloud, including the Data Catalog, Business Glossary, and Policy Manager.
BigQuery Integration: Configure and maintain technical metadata harvesting from Google BigQuery into Collibra using standard or custom integrations.
Discovery & Classification: Automate the discovery of new data assets and implement sensitive data classification (PII/PHI) to ensure compliance with global privacy standards.
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Collibra Implementation: Lead the end-to-end setup of the Collibra Data Intelligence Cloud, including the Data Catalog, Business Glossary, and Policy Manager.
BigQuery Integration: Configure and maintain technical metadata harvesting from Google BigQuery into Collibra using standard or custom integrations.
Discovery & Classification: Automate the discovery of new data assets and implement sensitive data classification (PII/PHI) to ensure compliance with global privacy standards.
...