Job Description

The Senior Manager - AI Value Realization and Reporting plays a pivotal role in ensuring that the organization's AI initiatives deliver tangible and measurable business outcomes. The role is responsible for developing and implementing robust frameworks to measure, track, and optimize the return on investment (ROI) of AI initiatives.

The incumbent will ensure that AI solutions being developed deliver tangible business outcomes by establishing clear value metrics to measure the effectiveness of AI initiatives, monitoring mechanisms to track the performance, linking investments to business results and developing comprehensive ROI models that account for both financial and nonfinancial benefits.

The role will require to collaborate and foster strong relationships with stakeholders across different functions to ensure alignment and effective execution of AI strategies. The goal is to enhance the MTN’s ability to leverage AI for strategic growth and competitive advantage.

• Design and operationalize structured frameworks to measure the financial and strategic impact of AI initiatives, incorporating both quantitative metrics (e.g., cost savings) and qualitative benefits (e.g., customer satisfaction)
• Perform detailed financial evaluations of AI initiatives, including total cost of ownership (TCO), break-even timelines, and sensitivity analysis to guide investment decisions
• Establish key performance indicators (e.g., accuracy rates, process efficiency gains) tailored to each AI initiative and implement dashboards for real-time tracking
• Work with stakeholders to ensure AI initiatives directly address MTN Business priorities and objectives, such as revenue growth, cost reduction, or risk mitigation.
• Create comprehensive proposals for AI investments, outlining projected ROI, resource requirements, risks, and alignment with long-term strategic objectives
• Oversee financial planning and resource allocation for AI initiatives, ensuring optimal utilization of dedicated resources across business functions
• Enable data-driven decision-making by using predictive models to evaluate the likelihood of success for AI initiatives and optimize their deployment strategies
• Foster strong relationships with stakeholders to ensure alignment and support for AI initiatives, providing regular updates and insights that help stakeholders understand the value and impact of AI solutions
• Regularly monitor performance of AI use cases to uncover inefficiencies, such as underperforming models or integration gaps, and recommend corrective actions
• Research emerging trends and technologies (e.g., generative AI, edge computing) and assess their potential applications to enhance performance and ROI
• Implement automated tools to track AI solution performance, user adoption rates, and deviations from expected outcomes
• Prepare reports to uncover patterns and meaningful insights that translate technical results into business impact narratives for decision-makers
• Implement processes for continuous improvement of AI solutions, leveraging feedback from stakeholders and data insights to refine AI models and enhance their effectiveness in driving business outcomes
• Identify underperforming AI deployments and lead remediation efforts to optimize outcomes
• Champion an environment where AI-driven insights continuously enhance business processes, drive competitive advantage, and encourage cross-functional collaboration to unlock new opportunities for innovation and efficiency

Education:

• Bachelor’s degree in Computer Science, Data Science, Engineering or a related technical field
• Relevant certifications in AI /ML, Data Analytics or Business Intelligence (preferred)

Experience:

• 8+ years of experience in AI Strategy, Data Analytics or Business Intelligence
• Hands on experience in AI Value realization, financial modeling or performance Analytics
• Experience working in fast paced telecom environment
• Strong background in cloud-based AI solutions and Data driven decision making
• Expertise in implementing AI monitoring tools and Business Intelligence solutions
• Demonstrated ability to optimize AI investments through predictive analytics and continuous monitoring

Skills:

• Expertise in AI Performance Metrics & Value Realization
• Strong Analytical and Financial Modelling Skills
• Advanced Proficiency in BI Tools (e.g., Power BI etc)
• Hands-on Experience with AI/ML Monitoring Platforms
• Stakeholder Engagement & Communication Skills
• Ability to Translate AI Insights into Business Value
• Deep Understanding of AI Governance & Compliance
• Experience in Process Automation & AI Workflow Optimization
• Strategic Thinking with a Focus on Business Impact