Head, Data & Intelligence Engineering at Polaris Bank Limited

Polaris Bank was established by the Central Bank of Nigeria (CBN) on September 21, 2018 to offer commercial banking services to the Nigerian public. The bank commenced services on the same day, having purchased the assets and assumed certain liabilities of the defunct Skye Bank.With a footprint of over 350 branches across the country, Polaris Bank prides itself in delivering exceptional customer experience, leveraging best in class/state of the art Information Communication Technology (ICT). By focusing on ICT solutions across multiple service delivery channels (mobile banking, ATMs, POS and online platforms) Polaris Bank maintains a pivotal role in the Nigerian banking industry, providing customers with simple, convenient and secured banking services.

We are recruiting to fill the position below:

Job Title: Head, Data & Intelligence Engineering

Location: Lagos
Job Type: Full Time

About the Role

• The Head, Data & Intelligence Engineering owns the data platforms, analytics, and AI capabilities that power decision-making and personalized customer experiences at Polaris Bank.
• This is a leadership role directing four specialist disciplines — Data Engineering, Analytics & BI, Data Science & AI, and Data Governance — through dedicated leads and engineers, not as a hands-on individual contributor across all four.

Key Responsibilities
Data Engineering Oversight:

• Direct the design of scalable, reliable data pipelines, warehouses, and ETL infrastructure
• Set standards for data modeling and infrastructure architecture used across the bank's data platforms

Analytics & BI Oversight:

• Ensure the analytics function delivers dashboards, reports, and self-service tools that drive data-driven decisions across the bank
• Set standards for data visualization and reporting consistency

Data Science & AI Oversight:

• Direct the development of AI/ML models supporting personalization, fraud detection, credit scoring, and operational optimization
• Ensure model performance, fairness, and reliability are validated before production deployment

Data Governance Oversight:

• Ensure data quality, privacy, and metadata management practices are enforced across all data assets
• Own the bank's data governance framework and ensure regulatory compliance in data handling

Qualifications

• Bachelor's Degree in Computer Science, Data Science, Statistics, or related field; advanced degree an advantage
• Demonstrated track record leading data engineering, analytics, or data science functions, ideally in banking or financial services.

Core Competencies:

• Data platform strategy and technical leadership across engineering, analytics, and data science
• Working fluency in ML/AI model lifecycle management and MLOps practices
• Strong grounding in data privacy and regulatory compliance (NDPR and applicable banking data regulations)
• Stakeholder management across technology, risk, and business functions

Familiarity With Tools (used by the function's teams):

• Python, SQL, Apache Spark, Airflow, Kafka, Databricks, Snowflake, AWS Glue, dbt; Power BI, Tableau, Looker, Metabase; TensorFlow, PyTorch, Scikit-learn, MLflow, SageMaker, Kubeflow; Collibra, Informatica

Application Closing Date
Not Specified.

How to Apply
Interested and qualified candidates should:
Click here to apply online