Unit Head, Data Monetization - Nigeria at Antal International

We are experts in the global search and selection industry - we work with professional and managerial talent worldwide. Every day, we help businesses all around the world to find the talent that they need in order to drive their growth, profits and long-term success. Utilising an extensive international network to carry out cross border work allows us to bring a truly unique approach to the recruitment sector. We do this with 1000 experts from more than 120 offices, spanning over 30 countries globally. Over the past 22 years, we have worked with over 60,000 clients making over 100,000 placements. We have continuously improved and refined our internal processes, training and methodologies in order to reflect the business needs of our clients, and market changes in general. We firmly believe that our deep market expertise can benefit organisations that seek a knowledgeable and professional business partner, with scale and global reach. We share information, knowledge and experience for the benefit of our colleagues, clients and candidates - and we do this better than anyone in the world.

Job Purpose(s)

• Development and implementation of the Bank’s Data Monetization Strategy working closely with the Chief Data Officer (CDO) and other relevant parties
• 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 from Data Monetizatio
• Create and Manage a functional Enterprise Data Valuation structure

Responsibilities:

• Envision and define Monetization strategy (target, growth, & market share) and product and service delivery models (product offering/bundling, channel identification & pricing) for the bank’s data products/ services 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, Architecture & Engineering and Enterprise Analytics Teams on availability, suitability and quality of data used for development of Data Products
• Support and guide Monetization Team Leads in the delivery of tasks and initiatives leading to delivery of strategic objectives
• 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 favourable 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 growt
• 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 strategie
• 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 of 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 organizatio
• 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 build 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 Operation
• Responsible for managing and organizing team training and Development
• Responsible for developing and mentoring direct reports and leading team to achieving defined goals
• Responsible for establishing an Enterprise Data Valuation structure to adequately capture the value of data assets across the enterprise
• Responsible for evaluating established data valuation methodologies for optimality and fitness for purpose
• Responsible for conducting/ re-assessing enterprise data value at periodic intervals as approved by management
• Responsible for communicating the value of data assets across the enterprise

Job Requirements

Education

• Minimum Education: First Degree or its equivalent in any discipline preferably business related.
• Higher Degrees (MBA)/Professional Certificate will be an added advantage

Experience

• Proven experience in working with data, strong data analysis and interpretation, preferably within an Insight Function.
• Over 5 years in an analytics role utilizing statistical analysis to drive business growth within proven returns.

Key Competency Requirements

Knowledge

• Good understanding of financial market industry
• Relationship management
• Good understanding of analytical methodologies
• Data interpretation and adaptation
• Communication development and execution

Skill/Competencies

• Product Development
• Stakeholder Management
• Project Management
• Data Gathering and Analysis
• Advanced analytical problem solving skills
• Communication/Presentation skills
• Business/Operational Strategy
• Creativity and Innovation
• Customer centricity – solution, service and relationship

Method of Application