Unit Head, Enterprise Analytics (Finance / Data Analytics / Management) - Nigeria at CA Global

Job Overview

Location
Lagos, Lagos
Job Type
Full Time
Date Posted
2 years ago

Additional Details

Job ID
55662
Job Views
79

Job Description



Job Description:



  • As the Unit Head of Enterprise Analytics within the Finance Directorate's Enterprise Data Management and Transformational Analytics (EDMTA) department, you will play a pivotal role in leading and driving the bank's data-driven culture and leveraging analytics to deliver strategic value.

  • You will be responsible for providing direction and overseeing the planning, development, and implementation of various Enterprise Analytics projects and initiatives.

  • Through your leadership, you will promote data as a valuable asset, demonstrate its operational and strategic significance to different Business Units, and minimize data risks.

  • Your role will involve fostering innovation through data science, developing impactful data products, and supporting the bank's data-led transformation initiatives.

  • You will also lead a high-performing data science and analytics team, driving their capabilities to deliver critical insights for enhanced decision-making.


Responsibilities:



  • Develop and implement enterprise-wide analytics frameworks, including policies, standards, guiding principles, processes, tools, and best practices.

  • Lead the implementation of analytics strategies and processes across the entire data lifecycle management framework.

  • Oversee and drive enterprise-wide analytics initiatives, ensuring the delivery of expected outcomes.

  • Develop and execute a bank-wide change management program for Analytics initiatives.

  • Act as a liaison between Strategic Business Units (SBUs) and Information Technology (IT) to clarify and communicate data-related business requirements.

  • Collaborate with control units (ICEG, Ops Risk, Internal Audit), promoting analytics and data science best practices.

  • Provide monthly data science capability reports illustrating progress and value creation across Business Units.

  • Lead analytics capability maturity across the Bank, conducting analytics sessions with Business Units.

  • Support Domain Governors and Data Governance partners in achieving data-governance objectives and resolving escalated issues.

  • Manage the budget and spending for Analytics Programs.

  • Provide progress reports to management and oversee updates to the Data Governance Council.

  • Foster collaboration with other teams within the EDMTA department to achieve unit objectives.

  • Engage with Bank management levels on Enterprise Analytics and its implications.

  • Manage interrelationships across enterprise projects and optimize project and BaU portfolio performance.

  • Develop and obtain approval for the training plan for the Enterprise Analytics unit.

  • Provide coaching and on-the-job training to colleagues to enhance productivity.


Requirements:



  • Minimum of a first degree or its equivalent in a business/IT related discipline.

  • Postgraduate degree in quantitative disciplines is an added advantage.

  • 10+ years of experience in designing, developing, and delivering enterprise analytics capabilities.

  • Proficient knowledge of data governance and quality development frameworks, concepts, and best practices.

  • Proficient knowledge of structured systems analysis and design, and software development life cycle.

  • Good understanding of Data Modelling (Conceptual, Logical, and Physical).

  • Knowledge of Master Data Management and ability to anticipate typical MDM implementation challenges and provide solutions.

  • Good knowledge of Business Intelligence, Analytics, Big Data, and their impact on ROI.

  • Good knowledge of Reference Data Management Metadata Management and its benefits.

  • Working knowledge of quality control/assurance.


Benefits and Contractual information:



  • Permanent Position.

  • Competitive salary and compensation package.

  • Opportunity to lead and shape the bank's data-driven culture and analytics initiatives.

  • Access to professional development and training programs to enhance skills and expertise.


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