Vacant Jobs at IQbusiness

Key Responsibilities:

Senior Leadership:

• Assist the Business Unit Leader in growing a successful business unit aligned with the business plan.
• Drive innovation through problem-solving and strategic actions.
• Design and communicate a strategy aligned with strategic objectives.
• Encourage team initiative and challenge decisions when necessary.
• Coach and mentor individuals for career growth.
• Demonstrate responsibility and accountability for people, projects, and business.
• Assist with managing budgets and finances for multiple projects.

Sales and Solutioning:

• Demonstrate strong sales ability and develop client relationships.
• Collaborate with the Business Unit Leader on the sales strategy for the business unit.
• Be able to introduce innovative sales and account management tools.
• Analyze trends, competitor behaviour, and potential opportunities.
• Assist with formulating business proposals according to customer needs.

Client:

• Ensure client satisfaction through effective team and project management.
• Be able to establish networks with influential client executives and industry leaders.

 Delivery:

• Constantly work towards improving solutions and processes.
• Assist the Business Unit Leader with designing new service offerings.
• Lead, coordinate, and manage project execution.
• Maintain project performance levels to achieve business unit objectives.

Education:

• Matric
• Degree or Diploma in Business Management, Computer Science, Business Science, or Engineering (advantageous)
• Certified PRINCE2 Practitioner, Certified PMP, Certified Scrum Master, Certified in SAFe, Certified SAFe Release Train Engineer - Advantageous

go to method of application »

KRIs:

• Data Modelling: Design and develop conceptual, logical, and physical data models to support the organization's data requirements and business objectives.
• Database Design: Work closely with database administrators and developers to translate business requirements into database structures, ensuring optimal performance and scalability.
• Data Analysis: Collaborate with business stakeholders to understand data needs, analyze data requirements, and identify opportunities for data-driven insights and improvements.
• Data Governance: Establish and enforce data governance policies, standards, and best practices to ensure data quality, consistency, security, and compliance with regulatory requirements.
• Documentation: Document data models, data dictionaries, and metadata definitions to facilitate understanding, usage, and maintenance of the organization's data assets.
• Data Integration: Integrate data models with various data sources, systems, and applications to enable seamless data flow and interoperability across the organization.
• Data Architecture: Contribute to the development and implementation of data architecture strategies, roadmaps, and initiatives to support the organization's long-term data management goals.
• Collaboration: Collaborate with cross-functional teams, including business analysts, software engineers, and data scientists, to support data-driven decision-making and achieve business objectives.
• Continuous Learning: Stay abreast of industry trends, emerging technologies, and best practices in data modeling, database management, and data analytics to drive innovation and excellence in data management practices.
• Problem Solving: Identify and resolve data-related issues, challenges, and bottlenecks in a timely and effective manner to ensure the reliability, availability, and usability of the organization's data assets.

Requirements

• This is a senior position, requiring about 8+ years relevant experience in a large-scale data environment (e.g. retail, financial services, telecom, banking or similar)
• Technical domain competency
• Experience in Data Management role with understanding of data, risk, data architecture, data governance, data analysis, data validation and metadata management.
• Experience using related regulatory/governance standards to provide high quality data having planned, implemented, integrated and controlled activities/processes to ensure availability, usability, integrity, compliance and security of data.
• Sound knowledge and understanding of data life cycle. Operational execution of data/metric standards and data quality rules.
• Understanding of and experience with root cause analysis and problem-solving skills and awareness of the Data Product Life Cycle (DPLC) & Agile methodologies.
• Extensive experience with Data Analysis, Data Integrity, Data Modelling, Data Warehouse layers and Metadata Qualifications
• Bachelor’s Degree in Computer Science or similar fields like Information Systems, Big Data, etc would be advantageous.
• AWS Data Engineer Certification would be advantageous
• Related Technical certifications
• Knowledge of Agile methodologies and project management practices, including Scrum, Kanban, and Lean
• Excellent communication, collaboration, and problem-solving
• Ability to work independently and in a team environment in an Agile framework
• Strong analytical and critical thinking skill

go to method of application »

About you and the key skills, we’re looking for.

• Is this you? Scrum Master extraordinaire with a certification that speaks volumes about your agile mastery.
• You have gained 5 years of invaluable experience, especially in the vibrant South African landscape's financial services, retail, and insurance sectors.
• You're not just seeking a job; you're looking for a thrilling challenge and a team that matches your energy and ambition.

What you will be doing:

• At IQBusiness, a Scrum Master leads and mentors agile teams to ensure the timely and high-quality delivery of solutions. In this role, you will oversee the correct application of the Scrum process, organise important gatherings, and cultivate a goal-oriented, cooperative atmosphere.
• By encouraging self-organization within the team, you foster transparency and accountability.
• Over and above all of this, you will get to work on fascinating projects where you can show off your incredible talents, collaborate with some of the most brilliant Scrum Masters and Agile Coaches in South Africa, and profit from their combined knowledge!

go to method of application »

Requirements:

• 5+ years of experience in Data Management Framework development and implementation thereof
• Relevant Bachelors’ Degree / Diploma / recognised qualification from an accredited tertiary institution preferably ICT  
• Proven experience working as a Data Governance Analyst or in a similar role.
• Strong understanding of data governance principles, data management practices, and data quality concepts.
• Familiarity with data governance frameworks such as DAMA-DMBOK or equivalent.
• Proficiency in data profiling, data lineage, and metadata management tools.
• Excellent analytical and problem-solving skills with meticulous attention to detail.
• Strong communication and collaboration skills to effectively work with cross-functional teams and stakeholders.
• Knowledge of data security and privacy regulations and their implications for data governance.
• Ability to communicate well with different types of stakeholders, adapt to different project environments and play a flexible role in projects
• Experience with data governance toolsets and technologies is preferred.
• Ability to adapt to a fast-paced environment and manage multiple priorities effectively.

Responsibilities:

• Develop and implement data governance frameworks, policies, and procedures to ensure effective management of data assets.
• Establish data quality standards and guidelines and monitor adherence to ensure data integrity.
• Conduct regular data audits to identify data quality issues, anomalies, and discrepancies.
• Collaborate with cross-functional teams to define data governance best practices and provide guidance on data management processes.
• Design and implement data governance tools and technologies to streamline data management and improve data quality.
• Develop data classification and categorization schemes to ensure appropriate handling of sensitive and confidential data.
• Collaborate with IT teams to ensure data security and compliance with relevant regulations.
• Identify areas for improvement in data management practices and recommend solutions to enhance data governance.
• Provide training and support to staff members on data governance policies, procedures, and best practices.
• Stay up-to-date with industry trends and developments in data governance and recommend innovative approaches for data management.