Data Enablement Specialist

**Job Classification**
- Job Family- Information Technology
- Career Stream- It Application Development
- Leadership Pipeline- Manage Self: Technical
- FAIS Affected**Job Purpose**
- The role requires someone to see the end-to-end process from ideation to solution delivery; identify opportunities for client value added services, process optimization & implement an ecosystem that provides for the business’s data and analytics needs. Collaboration in the creation of and enhancements to new/existing concept/solutions.
- This role is a thought leader in enabling and driving data products and solutions to customers across various industries and enabling reporting solutions that generate value for the business. If you have an innovative mindset on data and how to use it to service our clients and transform internal processes through research and human centered thinking, this is the right place for you. Data Enablement Specialist to play a significant role in enabling our data strategy and driving efficiency in the data value chain.**Responsibilities**:

- Craft the Data Enablement strategy and roadmap and role payers
- 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-ordination 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, behavior, geological.
- Ability to Identify, model, and analyze 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 organizations
- Experience of 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.
- Essential Qualifications - NQF Level- Advanced Diplomas/National 1st Degrees
- Preferred Qualification- Degree in Information Technology or Business Management, Mathematical/Statistics- Preferred Certifications- Microsoft SQL
- Project Management
- Business Analysis
- BI - PowerBi
- Essential Certifications- Data Management (DAMA) Certification, Certification/formal training in relevant technology
- Minimum Experience Level- 10 years relevant experience of which 5-7 year