Latest Vacancies at CA Global

Job Description:

• As the Unit Head of Data Architecture and Engineering within the Finance Directorate's Enterprise Data Management and Transactional Analytics department, you will be a pivotal figure responsible for the development and implementation of the Data Strategy blueprint.
• Collaborating closely with the Chief Data Officer and relevant stakeholders, both internal and external to the enterprise, you will play a critical role in shaping the data infrastructure and architecture to support the organization's strategic objectives.

Responsibilities:

• Assist in planning, coordinating, and supervising all activities related to the design, development, and implementation of data pipelines and architectural solutions.
• Oversee the effective day-to-day management of resources within the unit.
• Collaborate with relevant stakeholders for budget preparation, execution, and ensure compliance with budget management.
• Ensure smooth execution of Operational Level Agreements (OLAs) through constant review and engagement with stakeholders.
• Establish and maintain an effective operational model, periodically reviewing and adapting it to align with present-day realities.
• Perform coding and architectural reviews to ensure the quality and robustness of solutions before release.
• Delegate responsibilities to members of the unit, promoting effective teamwork and collaboration.
• Ensure that developed solutions undergo peer review and are well-documented.
• Maintain a vigilant approach to prevent regulatory or audit exceptions associated with the team's activities.
• Validate that solutions meet the requirements outlined in the design documentation.
• Provide leadership and technical guidance to direct reports, fostering their professional growth and development.

Requirements:

• Minimum of a first degree or its equivalent in a business/IT related discipline.
• Masters, MBA, or a recognized professional certification will be an added advantage.
• 10+ years of experience in designing, developing, and delivering data-related solutions.
• Proficient knowledge of software development frameworks, concepts, and best practices.
• Working knowledge of system implementation.
• Proficient knowledge of structured systems analysis and design, and software development life cycle.
• Proficient knowledge of relational database management systems and tools.
• Good knowledge of enterprise applications systems such as Finacle 10, Oracle ERP, etc.
• Proven technical aptitude in several relevant application programming domains.
• Working knowledge of quality control/assurance.

Benefits and Contractual information:

• Permanent Position
• Competitive salary and compensation package.
• Opportunity to shape and lead the development of data architecture and engineering strategies within a dynamic financial institution.
• Open to all candidates throughout Africa.
• Must be willing to relocate to Nigeria.

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Job Description:

• An exciting Banking client of ours is looking for a Unit Head, Data Monetization to join their team in Lagos.
• The ideal candidate will be directly involved in the Development and implementation of the Bank’s Data Monetization Strategy working closely with the Chief Data Officer (CDO) and other relevant parties.

Responsibilities:

• Partner with internal teams and other relevant stakeholders to set the strategic context for Monetization products and to develop new product ideas based on industry experience, contact with customers and representatives from relevant market sectors.
• Create and Manage revenue lines stemming from Data Monetization.
• Envision and define Monetization strategy (target, growth, & market share) and product delivery models (product offering/bundling, channel identification & pricing) for the bank’s data products for enhanced market penetration.
• Responsible for the creation of Data Monetization frameworks, development of business cases, use cases and Monetization projects methodologies.
• Continuously engage Data Governance, Data Privacy and Enterprise Analytics Teams on availability, suitability and quality of data used for development of Data Products.
• Support and guide Monetization Team Leads in building dashboards/reports to track performance of Data Products.
• Identify, negotiate, and execute strategic third-party and/or direct relationships for data enrichment and Data Products development.
• Identify monetization opportunities aligned with the overall data monetization strategy. 
• Own and drive the roadmaps for new Data Products from ideation and development to product launch.
• Identify potential partners/ users for the Bank’s Data Products & Services and engage them to get favorable terms for proposed monetization opportunities.
• Manage and maintain strong direct relationships with external partners.
• Collaborate with existing and potential partners to define new monetization routes and opportunities for growth.
• Oversee the tracking of Monetization P&L.
• Oversee the identification of opportunities to acquire and grow customer relationships and increase their profitability through improved targeting, best-in-class product/services, motivated sales force, and appropriate channel strategies.
• Oversee the development of new business opportunities and concepts, ensuring that business proposals for the new ideas are developed, approved, and executed.
• Preparation of Unit’s budget and dependencies/assumptions with current market realities, working with the CDO and Team Leads within specified timeframe for management’s review/approval to provide focus of the financial year.
• Oversee the creation and Review of Service Level Agreements (SLAs) with customers, partners, and vendors to ensure the bank’s interest is adequately protected in terms product/service performance, revenue generation and other internal stakeholders’ requirements such as: Audit, Operational risk management, information security, compliance etc.
• Analyze and report on the performance of features in production, reflecting on successes and identifying areas for continuous improvement.
• Tracking of value realization and measurement of business impact of Data Monetization initiatives during/after implementations.
• Oversee the development, implementation, monitoring & evaluation of Data Products, Service and Initiatives that provide sizeable financial benefits to the organization.
• Delegate Responsibilities by continuously evaluating team talent/skill sets available and talent/skill sets needed for an efficient and effective monetization function.
• Closely manage outside consultant and research vendor spending and builds internal capabilities as appropriate, to ensure the greatest value / highest leverage for research investment.
• Lead and Manage a cross-functional team across Monetization product development and Operations.

Requirements: Qualification and Skill

• Proven experience in working with data, strong data analysis and interpretation, preferably within an Insight Function.
• Over 5 years analysis role utilizing statistical analysis to drive business growth within proven returns.
• Good understanding of financial market industry.
• Relationship management.
• Good understanding of analytical methodologies.
• Data interpretation and adaptation.
• Communication development and execution.
• Product Development.
• Stakeholder Management.
• Data Gathering and Analysis.
• Advanced analytical problem-solving skills.
• Communication/Presentation skills.
• Business/Operational Strategy.
• Customer centricity – solution, service, and relationship.

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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.