Head: Data Enablement & Insights at Nedbank

Job Purpose

• To play a significant role in enabling our data strategy and driving efficiency in the data value chain. The role will lead the end-to-end process from ideation to solution delivery; identify opportunities for client value added services, process optimisation & implement an ecosystem that provides for the business’s data and analytics needs. Collaboration in the creation of and enhancements to new/existing concepts/solutions, enabling and driving data products and solutions to customers across various industries and enabling reporting solutions that generate value for the business.

Job Responsibilities

• Craft the Data Enablement strategy and roadmap
• Build and maintain data domain expertise
• Lead, support and inspire a team of data professionals performing analysis, development, design and/or implementation of value-added services.
• Own & drive the end-to-end development effort for on-time, high-quality, highly scalable technical solutions in alignment with business needs.
• Enhancing the value of data through data management, governance and analysis activities and providing central co-orcoordination of all data-related activities
• Understand how to manage a customer service and interact with users across a wide range of disciplines
• The ability to converse in both technical, business and data governance language.
• Closely collaborate with partners and stakeholders to mature our data driven road map and associated data-driven investments
• Understanding of data protection, security, and privacy and how that affects the use of data and how we store, manage, and use it.
• Knowledge of alternative sources of data from external providers and identify integration patterns
• Support client innovation, technical integration and process optimization
• Provide advisory services on projects and data solutions
• Experience of driving improvements to datasets, across lineage, quality, and business value
• Sufficient understanding of data management, relational databases systems, data-warehousing concepts, ETL development, data architecture and systems integration.
• Ensure that knowledge is managed to prevent loss of key business knowledge and avoid single points of failure.
• Identify and evaluate risks, impact and mitigate accordingly
• Manage the requirements and delivery of dashboards for the use of tracking and trending customer behaviour and needs.
• Engage and support on how we acquire data to support business objectives through the appropriate acquisition channels
• Expert communication and interpersonal skills that translate into the ability to explain complex concepts and technologies.
• Demonstrated knowledge of data structures, information systems/tools, related software and data management, enterprise content management, and practices in a complex organizational environment.
• Experience in working with data such as: segmentation, behaviour, geological.
• Ability to Identify, model, and analyse external and internal data to extract insights.
• Translate market research into data points.
• Ability to engage with clients directly.
• Manage the validation, cleansing, de-duplicating, importing, extracting, and manipulating data from various sources.
• Facilitate the development and execution across various teams for data-led products/solutions.
• Identify and recommend opportunities to enhance processes/systems and support the implementation of innovative ideas/solutions.
• Vendor Management and Stakeholder Management
• Ability to manage multiple high priority projects spanning across different departments, with attention to detail and execution in a cost-effective, timely and efficient manner
• Experience in understanding and defining data needs for large or complex organisations
• Experience in tackling complex problems, working through the detail to find appropriate solutions and promoting a collaborative approach to decision-making and problem solving when appropriate.
• Ability to think strategically, contributing to both team-level as well as departmental-wide priorities

Minimum Experience Level

• 6+ years of relevant experience in the same or data similar role.
• 4+ years’ experience in successfully implementing & managing data/analytics/BI solutions.

Technical / Professional Knowledge

• Data Mining
• Data Warehousing
• Data Tools
• Data analysis
• Banking knowledge
• Business strategy and drivers
• Alternative learning strategies

Behavioural Competencies

• Influencing
• Coaching
• Facilitating Change
• Global Perspective
• Innovation
• Quality Orientation