Senior Data Manager

Overview CXI Bellville, Western Cape, South Africa Senior Data Manager As a Senior Data Manager , you’ll lead the way in shaping how data drives strategy, growth, and performance across a dynamic group of companies. This is a high-impact leadership role where you’ll turn complex commercial, customer, and industry data into clear insights that influence decision-making at the highest level. You’ll own the data vision—building modern platforms (warehouse, lake, cloud), driving innovation with AI/ML, and ensuring data is secure, scalable, and business-ready. Working closely with executives and stakeholders, you’ll have a direct hand in guiding strategy through data. This is also your chance to build and develop a talented data team, lead the full data lifecycle, and introduce tools and technologies that unlock new value for the business. If you’re looking to make a real impact and set the standard for data excellence, this role is for you. Responsibilities Lead and manage a team of data professionals (Data Analysts, Data Engineers), fostering a collaborative environment focused on continuous learning, improvement, and innovation. Structure the team and mentor members to enhance their skills and promote knowledge-sharing across the department. Oversee recruitment, training, and professional development to build a high-performing data team. Work closely with Commercial, Operations, and Sales teams to understand data needs and translate them into actionable solutions. Develop and execute a comprehensive data strategy that aligns with the company’s broader business objectives. Ensure that the data strategy drives the company’s long-term vision, particularly in areas like energy trading, customer behaviour analysis, and pricing strategies. Oversee the integration of commercial data, customer data, and industry-specific data (including meter readings and energy consumption metrics). Manage the end-to-end integration, modelling, and analysis of these data streams, ensuring seamless data flow across the organisation. Ensure that all data sources are harmonised to create comprehensive, actionable business insights. Lead the creation, optimisation, and deployment of data models and algorithms, with a focus on both real-time and historical data. Drive the development of predictive models and analytical frameworks to forecast market trends, customer behaviours, and energy demand. Collaborate with Commercial Analysts and Product owners to build and implement algorithms that drive dynamic pricing, energy demand forecasting, and strategic decision-making. Own the company’s data warehouse and data lake architecture, ensuring they are scalable, performant, and aligned with business goals. Oversee the integration of diverse datasets into the data warehouse and data lake, ensuring data quality, integrity, and accessibility. Leverage Microsoft Fabric and other relevant technologies to optimise these data environments for efficient processing and real-time analytics. Develop and maintain interactive dashboards and BI reports that provide actionable insights to senior leadership. Ensure data-driven insights are easily accessible and presented clearly to support critical decision-making. Collaborate with leadership to identify key metrics and KPIs to measure business performance and guide long-term strategies. Ensure the integrity, security, and compliance of all data systems, adhering to industry standards for data governance and information security. Implement and enforce data governance frameworks that protect sensitive commercial, customer, and industry data. Manage data privacy and ensure compliance with relevant regulations (e.g., GDPR, industry standards). Partner with senior leaders and work with SMEs across Commercial, Operations, and other departments to understand needs and deliver tailored solutions. Provide actionable, data-driven insights to senior leadership for energy trading, pricing strategies, and market trends. Act as the key liaison between the data team and other business units, ensuring alignment between business objectives and data initiatives. Lead the evolution of the company’s data infrastructure, ensuring technologies evolve with industry advancements and organisational needs. Identify opportunities to integrate emerging technologies, tools, and platforms to optimise data management, analysis, and reporting capabilities. Champion the adoption of new tools and methodologies, including machine learning, advanced analytics, and AI, to uncover insights that were previously hidden. Implement and refine data workflows to optimise operational efficiency, reduce redundancies, and streamline decision-making across departments. Ensure data systems support real-time processing for mission-critical operations such as trading and pricing. Continuously assess and improve data processes to meet the needs of operational and strategic functions. Provide senior leadership with strategic insights that inform decision-making in energy trading, hedging, pricing, and other key commercial areas. Leverage data to uncover opportunities, address challenges, and drive growth and profitability. Ensure data-driven insights guide long-term business strategy development. Qualifications and Experience Relevant Experience: At least 5 years of experience in data management or data analytics, with a solid understanding of data architecture, data modelling, and overseeing data-driven projects. Leadership experience in managing and developing a team of data professionals. Strong experience in data modelling for both transactional and analytical databases, designing models that meet business requirements. Expertise in ETL (Extract, Transform, Load) processes to manage complex data integration tasks. Experience working with commercial data (e.g., pricing, forecasting, modelling financial assertions, prototype products) to drive business insights and strategic decisions. Proven ability to collaborate with business stakeholders across functions to understand data needs and deliver tailored solutions. Practical experience using Microsoft data technologies (e.g., Azure, Power BI, SQL Server) or similar tools to build and optimise data systems. Practical experience in AI and machine learning for developing predictive models and automating data-driven decision-making. Experience in BI presenting, creating clear, actionable reports and dashboards using tools like Power BI for both technical and non-technical stakeholders, including senior leadership. Proven track record of delivering data projects from start to finish, aligned with timelines and objectives. Seniority level Mid-Senior level Employment type Full-time Job function Information Technology Industries Outsourcing and Offshoring Consulting Referrals increase your chances of interviewing at CXI by 2x Get notified about new Senior Data Manager jobs in Bellville, Western Cape, South Africa. #J-18808-Ljbffr