Data Solutions Architect – Senior Manager – AI & Data

• Responsible for designing solutions aligned with customer requirements for projects initiated by supported lines of business, in coordination with other technical departments.
• Evaluate cloud applications, hardware, and software.
• Develop and organise cloud systems.
• Responsible for the design and implementation of data modelling and data architecture (e.g., DataFactory, Kimball, Inmon, DataMesh, DataVault 2.0, LakeHouse, Medallion Architecture).
• Responsible for designing ETL/ELT processes, data ingestion, data validation, and data quality within the data pipeline.
• Responsible for designing and preparing the data dictionary and data catalogue related to the data model.
• Work with clients to design, architect, and implement AI-enabled solutions from inception to production deployment.
• Define client GenAI/AI strategy and technical architecture.
• Stay abreast of industry trends, evaluate new tools and features, pilot innovative solutions, and shape roadmaps for client-facing GenAI tools.
• Lead the technical strategy and blueprinting of AI/GenAI systems, aligning solution architecture with business objectives, security, and scalability requirements.
• Collaborate with data scientists, engineers, and domain experts to integrate AI outputs into software and product workflows.
• Oversee the deployment of AI applications into production environments, ensuring performance optimisation, model monitoring, version control, and continuous improvement.
   

• Bachelor’s degree in a relevant STEM field (Computer Science, Engineering, Physics, etc.) or equivalent experience with a minimum of Second Class Upper/Upper Credit division.
• Have a minimum of five credits in WASSCE Ordinary Level/NECO subjects or acceptable equivalent examination, including Mathematics and English Language in one sitting only.
• 10-12 years  of experience in software development, cloud computing, systems engineering, infrastructure, security, networking, data & analytics) experience
• Atleast 6 years of experience in designing and implementing cloud-native AI architectures (AWS, Azure of GCP)
• Minimum of  6 years of specific technology domain areas (i.e., software development, cloud computing, systems engineering, infrastructure, security, networking, data & analytics) experience
• Minimum of 6 years of programming in Python with modern packages (i.e., Docker, Kubernetes, Airflow, Kafka, etc.)
• Minimum of 4 years of design, implementation or consulting in deploying AI applications with unit and integration testing in enterprise systems and supporting data pipelines, leveraging event-driven or microservices-based architectures
• Cloud Experience Azure/AWS/GCP/Snowflake/Databricks
• Methodology Experience: Agile, DMBOK, DataOps, MLOps.
• Previous consulting experience is preferred.
• Understanding of End-to-end technology architecture design.
• Understanding of Information Architecture domain (e.g., DAMA / DMBOK)

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Application deadline: Friday, 23 January 2025.

At Deloitte, we want everyone to feel they can be themselves and to thrive at work—in every country, in everything we do, every day. We aim to create a workplace where everyone is treated fairly and with respect, including reasonable accommodation for persons with disabilities. We seek to create and leverage our diverse workforce to build an inclusive environment across the African continent.

We actively support the inclusion of people with disabilities and embrace neurodiversity in the workplace. We recognise and value the unique strengths that neurodivergent individuals bring, and we are committed to creating an environment where everyone can thrive.

If you require reasonable accommodations in relation to your disability and neurodiverse needs during the recruitment process, please let us know. We are happy to make adjustments to suit your individual needs.

Note: The list of tasks / duties and responsibilities contained in this document is not necessarily exhaustive.  Deloitte may ask the employee to carry out additional duties or responsibilities, which may fall reasonably within the ambit of the role profile, depending on operational requirements.

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