Unit Head, Enterprise Analytics - Nigeria

• Provide strategic direction in the planning, development, and implementation of various Enterprise Analytics projects and initiatives and adherence to Data policies, standards and practices with all cost represented in draft budget for approval.
• Drive the bank wide adoption of an Analytics driven culture through promoting Data as an asset, illustrating its operational and strategic value to Business Units across the Bank, minimizing data risks; effectively motivating people, instilling accountability and demonstrating the value of Data
• Lead a very high performing data science and analytics team that delivers critical value to the Bank by leveraging its data assets in real-time for the benefit of customers, management and other critical stakeholders.
• Ensure that the Bank Data and Analytics agenda is embedded into the Banks decision making processes.
• Drive development of innovative data products that deliver high impact outcomes.
• Support the Bank's data-led transformation initiatives by using analytics to create the right business cases to support decisioning at all levels
• Promote innovation through data science and the art of data science led transformation.
• Ensure adequate planning, training and optimal utilization of the human workforce.
• Drive data science best practises across the Bank.

• Support the development and adoption of the Enterprise Analytics Strategies, Techniques and Tools; ensure alignment with the bank's strategic objectives.
• Develop goals and objectives that break down the overall strategy into high-level workplans approved for the Enterprise Analytics unit.
• Develop and implement enterprise-wide analytics frameworks comprising policies, standards, guiding principles, processes, tools and best practices.
• Lead the implementation of analytics strategies & processes across the entire data lifecycle management framework
• Lead the implementation of all enterprise-wide analytics initiatives and deliver on the expected outcomes.
• Lead the development and implementation of a bankwide change management program for Analytics initiatives
• Responsible for playing the role of leading innovation through data science within the business and, as such, defines how the business creates additional value through the utilization of its data assets and analytics
• Responsible for the creation of new data sciences capabilities for the business by envisioning and executing strategies that will influence improvement of the business's performance by enabling informed decision making
• Ensure the development and maintenance of advanced analytics capabilities that deliver competitive advantage to the Bank as seen in increased profitability, managing risks and compliance whilst reducing cost of operations
• Serve as a liaison between the Strategic Business Units (SBUs) and Information Technology (IT) to ensure that all data related business requirements are clearly defined, communicated and well understood.
• Collaborate with the bank's control units (ICEG, Ops Risk, Internal Audit), promoting best practises in analytics and data science to aid operations
• Provide monthly data science capability reports that illustrate progress and value creation across all Business Units
• Lead analytics capability maturity across the Bank; conduct analytics sessions with Bus
• Support the definition, monitoring and reporting on Key Performance Indicators (KPIs) and metrics of Enterprise Analytics Programs.
• Support the Domain Governors and Data Governance partners to achieve their data-governance related objectives; resolving issues escalated from Business and Functional areas.
• Support the creation and monitoring the budget and spend for the Analytics Programs
• Provide progress reports to management and oversee periodic updates to the Data Governance Council
• Foster collaboration with other teams within EDMTA department in achieving the objectives of the unit
• Carry out engagements across all Management levels of the Bank on Enterprise Analytics as well as the implications and responsibilities of the management.
• Manage the interrelationships across enterprise projects while optimizing the performance of both projects and BaU portfolio to achieve the best outcome
• Develop and obtain approval for the training plan for the Enterprise Analytics unit
• Provide coaching and on-the-job training to colleagues within the unit to undertake their assigned responsibilities and increase productivity.

• Minimum of a first degree or its equivalent in a business /IT related discipline
• Post graduate degree in quant disciplines 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 Modeling (Conceptual, Logical and Physical)
• Knowledge of Master Data Management and the ability to anticipate typical MDM implementation challenges and proffer practical solutions
• Good knowledge of the concept of Business Intelligence, Analytics & Big Data and demonstrated a good understanding of their impact on ROI.
• Good knowledge of the concept of Reference Data Management Metadata Management and its benefits
• Working knowledge quality of control/assurance
• Sound conflict management skills
• Customer-centricity
• Creative, results-oriented and analytical with strong problem-solving capability
• Good leadership and influencing ability
• Coaching

• Demonstrated ability to handle multiple competing prioritie
• Demonstrated ability to inspire effective teamwork and motivate staff
• Highly motivated individual with creative problem-solving ability and eagerness to learn in instances where technical skills and understanding may be lacking.
• Sound interpersonal and communication skills and the ability to work effectively with other business leads
• Good writing and presentation skills
• Program Management Skills
• Team Building
• Flexibility
• Integrity
• Strong planning and organizational skills
• Excellent interpersonal, consulting, and relationship management skills
• Proficiency in Microsoft office packages

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