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Head Data Analytics – Africa Subsidiaries

Anonymous Employer

Software & Data

Easy Apply
1 month ago

Job Summary

A multi-national financial institution in Ghana with global affiliates across Africa and beyond with an extensive network across the country, seeks to invite qualified candidates to apply for the following role. The Job's overview includes; Implement the bank’s data strategy across multiple subsidiaries in West, East and Southern Africa, ensuring alignment with overall business goals, guarantee the accuracy, completeness, and reliability of data for strategic decision-making, Lead data governance and data quality initiatives, setting policies and standards for data management, Collaborate with IT and business units to ensure seamless integration of core banking applications and systems, Promote the adoption of advanced analytics and business intelligence solutions, particularly Power BI.

  • Minimum Qualification : Degree
  • Experience Level : Executive level
  • Experience Length : 10 years

Job Description/Requirements


  • Serve as the subsidiaries’ data systems Product Manager. Drive the development and deployment of the data systems and a roadmap for its future development that aligns with the corporate strategy and business needs.
  • Continuously assess and recommend enhancements to data architecture and underlying IT infrastructure to ensure data is economically captured, stored, secured, available and usable by appropriate parties throughout the business
  • Direct prioritization, resourcing, and delivery of data initiatives across businesses and functions including but not limited to: Data Governance, Data Quality, Data Analytics, and Data Architecture
  • Define, manage and advance enterprise principles, policies and programs for stewardship, advocacy and custodianship of data and analytics
  • Responsible and accountable for the organization and implementation of data governance, establish data management goals, objectives, and operating procedures.
  • Champion data and analytics value creation and governance as strategic disciplines
  • Partner with SBUs to design data analytics projects and develop specific analytical and data science capabilities to achieve organizational goals and operational improvements while enabling and nurturing data-driven decision making.
  • Drive adoption of data management culture and related competencies as well as data literacy across the subsidiaries
  • Collaborate with analysts to facilitate the development and application of advanced analytic strategies and tactics.
  • Perform other duties as assigned by your line manager


  • STEM background – master’s degree in Computer Science, Engineering or similar, as well as practical experiences in Machine Learning, NLP, Deep Learning (Tensor flow), Statistical Modelling, Quantitative Analysis, Forecasting, Data Visualization.
  • Minimum of 10 - 15 years demonstrated experience in data management disciplines including data integration, modelling, optimization and/or data quality including 6 years of leadership experience in leading cross-functional teams and enterprise-wide programs. within complex contexts, preferably in the financial services industry


  • Knowledge and moderate proficiency in R, Python (scikit learn, pandas, Jupyter etc.) SAS, SQL, MATLAB, C/C++
  • Understanding of machine learning techniques and algorithms, such as Gradient Boosted Trees, CNN, RNN LSTM, etc.
  • Experience with data visualization tools eg. Power BI, Tableau and Qlikview
  • Knowledge of the BI/DWH lifecycle components including Source Data Analysis, ETL, ODS, Data Marts, and Data Mining
  • Expertise with ETL applications like SSIS, Informatica, Data Stage, etc
  • Results-oriented leader with a proven track record of leading a data transformation initiative.
  • Advanced knowledge and experience with best-in-class data strategy design

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