Enterprise Data Architect
Location: Sandton

Job Description:
In close collaboration with the Enterprise Architect and the Chief Data Officer, the Enterprise Data Architect is responsible for visualizing, designing and driving the implementation of the Organization’s enterprise data management framework. The Enterprise Data Architect is responsible for translating the business requirements into design specification (or a Blueprint) for implementation by the IT development and Data teams The Enterprise Data Architect is also responsible for defining the data architecture framework, standards, and principles, including modeling, metadata, reference data and master data. In addition, the Enterprise Data Architect is responsible for defining reference architecture, which is a pattern others can follow to create and improve data systems. The Enterprise Data Architect is also responsible for defining data flows (as in which parts of the organization generate data, which require data to function, how data flows are managed, and how data changes in transition). Lastly, the Enterprise Data Architect is responsible for collaborating and coordinating with multiple departments, stakeholders, partners, and external vendors.

Responsibilities:

Best Practice Research
Research on development and trends in terms of building a modern data architecture for a data driven organization
Knowledge of industry standards as well as best practice and identify gaps

Data Architecture
Partner with business, IT and data colleagues to determine and refine requirements, understand business needs and translate needs into a design document that can be easily translated to technical solutions.
Accountable for ensuring that the data architecture design has been implemented into the various technical solutions.
Design effective solutions and models to store and retrieve organizational data.
Examine and identify database structural necessities by evaluating stakeholder operations, applications and programming.
Assess database implementation procedures to ensure they comply with internal and external regulations.
Install and organize information systems to guarantee organizational functionality.
Prepare accurate database design and architecture reports for management and executive teams.
Oversee the migration of data from legacy systems to new solutions.
Recommend solutions to improve new and existing database systems.
Educate staff members through training and individual support.

Risk, data and compliance management and reporting
Ensure full compliance to statutory regulations, policies, procedures, best practice, professional standards as well as the strategy.
Consider data security when designing and implementing data solutions

Personal and Professional Development
Assume responsibility for your own personal and professional development to maintain a superior level of skill and knowledge. This must include expanding technical knowledge to drive data management.
Maintain current knowledge of data management via literature reviews and conferences to keep knowledge up to date.
Ensure ongoing knowledge of industry standards as well as best practice and identify gaps between these definitions/data elements and company data elements/definitions.
Participate in the relevant knowledge sharing forums.

Transformation Strategy
Ensure achievement of transformation goals as set out by the Transformation Committee.
Focus on the transformation strategy by supporting:
Digitalisation of the business for business sustainability
Strategic and synergistic partnerships between all divisions
Holistic approach to wellness
Creating economic value and optimizing capacity utilization
Investing and developing our workforce and communities
Putting the patient and their family at the center of the quality care model
Consistency of care to maximize patient satisfaction
Strategic engagements with Doctors and funders to invest in and maintain the quality of facilities.

Build and maintain Stakeholder relationships
Work effectively and cooperatively and lead others so as to establish and maintain good working relationships that are mutually beneficial.
Establish and service relationships with all internal and external stakeholders.
Actively provide leadership and participate as a member of a team, recognising the importance of embracing differences to achieve organizational goals and the strategy.
Create an environment which stimulates the morale and productivity of employees and drives employee engagement.
Consult with all business divisions to ensure an optimal outcome, suitable and practical application of the end product while ensuring regular communication on progress as well as issues to business management and end-users
Develop and maintain collaborative relationships with senior stakeholders in the business that encourages participation in the accomplishment of improvement objectives.
Create and maintain a positive environment where the differences of others are recognised, understood, and valued, so that all can reach their full potential and maximize their contributions.
Leverages relationship networks and partnerships to gain influence and support for work initiatives.
Demonstrates personal commitment to internal and external stakeholders by fulfilling responsibilities, involving others, gaining support for ideas generated and removing obstacles to team accomplishments.
Collaborates with stakeholders who have been responsible for managing data in the different business units and influences these stakeholders to embrace change and ensure alignment of data practices.
Establishes and consolidates good interpersonal relationships by listening to others and objectively considering their ideas and opinions even when they conflict with their own ideas.

Job Requirements:
Minimum NQF Level 7 Certification or qualification in Data Engineering or Data Warehouse or Solution Architecture or equivalent
A minimum of 5 years’ experience in data architecture and / or solution architecture.
Experience with databases and working with large scale data.
Good understanding of relational databases.
Good understanding of organizational systems and how these translate into quality databases that can be harnessed for decision making.
Good understanding of cloud technologies
Project management or consulting experience applied in cross-functional projects.
Data Architect certifications for big data and cloud infrastructure.