Data Solutions Architect – Senior Manager – AI & Data at Deloitte Nigeria

Job Title: Data Solutions Architect – Senior Manager – AI & Data
Location: Lagos
Job Type: Full Time
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About the Company

Deloitte is the largest private professional services network in the world. Everyday, approximately 286,200 professionals in more than 150 countries demonstrate their commitment to making an impact that matters. Our West Africa practice serves multinationals, large national enterprises, small and medium-sized enterprises and the public sector across Nigeria and Ghana.

In Nigeria, Deloitte is one of the leading professional services firms, specializing in providing Audit, Tax, Consulting, Risk Advisory and Financial Advisory services. We serve clients in a variety of industries from financial services, consumer, telecommunications, media & technology, energy resources & Industrial and government and public services.

Job Description

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.

Qualifications

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)