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Head Data Analytics – Africa Subsidiaries

Anonymous Employer

Software & Data

New Featured
1 week 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:

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

Job Description/Requirements

Head Data Analytics – Africa Subsidiaries


Job Overview

  • 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


Key Responsibilities

  • 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.


Qualifications

  • 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, and Data Visualization.
  • Minimum of 10 - 15 years of demonstrated experience in data management disciplines including data integration, modeling, 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


Competencies

  • 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


Compensation

  • Attractive remuneration and benefits.


How to apply.

All candidates should send their updated CVs and application letters through Brightermonday Portal by Clicking on the 'Apply Now ' section 


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