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The role involves developing data pipelines, managing metadata and data quality in Azure, ensuring compliance with data governance standards, and collaborating with data teams.

The User Researcher will conduct user research to inform digital services, analyse findings, and collaborate with multidisciplinary teams to enhance user-centered design.

Collaborate with multidisciplinary teams to design user-centered interactions for digital services, ensuring accessibility and simplicity in user journeys.

The Content Designer will lead content design to improve clarity, accessibility, and usability, collaborating with multidisciplinary teams to produce user-centered content.

The Digital Performance Analyst optimizes user engagement and conversion by monitoring digital performance, creating reports, and driving initiatives for improvement.

As a Talent Manager, source and place talent across various roles, manage candidate pipelines, and build relationships with clients and candidates in the public sector.

The Machine Learning Engineer will build, refine, and optimize AI/ML prototypes while collaborating with teams on technical documentation, deployment, and model integration.

The Product Manager will lead AI-driven initiatives, defining product vision, success metrics, and collaborating with teams to ensure user-focused outcomes and strategic alignment.

The DevOps Engineer will build and manage CI/CD pipelines, maintain environments, implement testing frameworks, and collaborate with teams on deployment workflows.

The Data Governance Manager will lead the implementation of data governance frameworks, manage data ethics risks, and engage with stakeholders to enhance data stewardship across the organization.