Careers at Discovery Limited

Job Purpose

• To participate in the planning, development, maintenance and enhancement of SAP applications. The role involves configuring and supporting SAP solutions aligned to business requirements, functional specifications, and incident management within Discovery Bank.

Key Outcomes may include but are not limited to:

• Conduct business analysis and redesign SAP processes
• Configure SAP functionality according to business requirements
• Develop business specifications, including:
• Component-level design
• Technical system specifications (TSS) / configuration rationale
• Data design
• Test case design (unit and component)
• Perform configuration and end-to-end testing before and after development
• Support impact analysis and design decisions
• Maintain development standards, methods, and procedures
• Assist in evaluating and selecting software solutions
• Take a leading functional/technical role in SAP delivery initiative

Profile of the SAP Functional Consultant:

• Results-oriented with strong accountability
• Excellent written and verbal communication skills
• Strong facilitation, negotiation and conflict resolution skills
• Advanced analytical and problem-solving ability
• Ability to operate effectively in a matrix organisation
• Strong planning and prioritisation capability
• Collaborative team player
• Adaptable and able to work across varying project environments
• Solid technical understanding of SAP configuration and development

Education and Experience:

• National Diploma/B-Degree in Information Technology
• Banking Services and CRM Certification and ASAP Methodology an advantage or
• At least 5 to 8 years’ experience in developing and supporting a Core Banking System
• Understanding of the ITIL process. (Certification an advantage)
• Understanding of the ASAP Methodology

go to method of application »

Key Purpose

• To support onsite marketing and increased awareness at targeted employers, driving increased new business growth and retention.

Areas of responsibility may include but not limited to

• Interact face to face with Discovery Funeral members and potential members on site.
• Represent Discovery Funeral and fulfil the role of Funeral brand ambassador
• Assist with troubleshooting member queries relating to benefits, cards, products, new business etc
• As a technical product expert, be able to market and educate members on Funeral, on a one on one and group basis.
• Conduct product presentations to groups of potential members
• Assist on-site with marketing activations to attract and engage with potential new members, building interest in the brand and the product/s
• Engage with Discovery stakeholders in order to resolve queries
• Assist with new business implementations by engaging one on one with members on site

Competencies

• Values driven
• Competitive drive to work hard and perform on the job
• Positive and enthusiastic attitude
• Proactive and takes initiative
• Eagerness to learn
• Well-developed communication skills (oral and written)
• Ability to position and communicate messages clearly
• Presentable
• Convincing and can influence
• Resilient and persistent
• Well-developed interpersonal skills
• Good organisation and time management
• Good problem-solving skills
• Observant and detail orientated

Education and Experience

• Matric
• Marketing, administration, or business qualification (N6)
• Knowledge and understanding of Funeral Plans
• Knowledge and understanding of Stop Order Facilities

go to method of application »

Key Purpose

• The Junior Developer supports the development, operationalisation, reliability, and continuous improvement of software platform, and AI/ML solutions, and data products. The role focuses on translating technical requirements into high-quality, maintainable code, while supporting the deployment, monitoring, and ongoing maintenance of machine learning pipelines and platform services. The role bridges development and operations by contributing to platform engineering, DevOps, and service management, ensuring that AI solutions are effectively delivered and sustained in production environments. This includes ensuring that systems are stable, scalable, production-ready, efficiently deployed through CI/CD pipelines, continuously improved, and aligned with business requirements and technical standards

Key outputs

The successful applicant will be responsible for but not limited to the following job functions:

Areas of responsibility may include but not limited to

Software Development & Test Automation

• Collaborate with Data Scientists, Architects, Analysts, and Platform teams to implement technical specifications using appropriate development languages (primarily Python and SQL) in alignment with established engineering standards and architectural patterns
• Develop high-quality, production-grade source code that adheres to DHS technical standards, leveraging existing system components, exposed services, and reusable sub-processes
• Build and maintain Python-based utilities and scripts to support operational workflows, including: Data quality checks and validation, log parsing and analysis, and automation of repetitive support and maintenance tasks
• Write and optimise SQL queries within Google Cloud Platform (GCP) environments to support production investigations, root cause analysis, data validation and reconciliation, ad hoc analysis and issue diagnosis
• Design, implement, and maintain automated testing frameworks, including unit tests, integration tests, end-to-end (E2E) testing for pipelines and services, and test data management
• Contribute to code quality, security, and compliance practices, including static analysis, linting, and secure coding standards
• Maintain and enhance technical documentation for: system and architecture documentation, code-level documentation, development guidelines, database schemas, structure updates, and rule changes
• Update and manage work items in Agile/DevOps tooling (e.g., Jira), ensuring traceability of changes and alignment to delivery processes
• Participate in pair programming, code reviews, and knowledge-sharing activities to promote best practices and continuous team development
• Support ongoing refactoring and optimisation of existing codebases to improve performance, scalability, and maintainability

Continuous Integration & Continuous Delivery (CI/CD)

• Contribute to CI/CD pipelines for automated build, test, and deployment processes
• Assist in managing configurations and environment setup
• Work with cloud platforms (primarily GCP) and containerised environments
• Support release processes with a focus on stability and zero-defect delivery
• Monitor pipeline health and troubleshoot failed builds or deployments
• Continuously build skills in cloud, DevOps, and AI/ML technologies

Platform Engineering & Operations Support

• Execute production deployments and verify the post-release health, stability, availability and responsiveness of deployed services
• Participate in the process of reviewing code for consistent application of standards, logic and effective use of libraries and reusable aspects of the application.
• Find and report operational issues and execute configuration changes
• Coordinate with multiple platform teams to monitor system resources,
• Manage platform services alerts and respond to incidents escalated by the Incidents team.
• Conduct Root Cause Analysis (RCAs) for bugs, defects and other types of problems (including writing clear and concise incident reports and communications)
• Log issues in the appropriate issues tracking system.
• Conduct analysis on issues.
• Verify and validate build stability.
• Conduct end-to-end testing and fix any defects found.
• Review error logs and provide updates on fixes found in testing.
• Monitor CI/CI and AI/ML pipelines, diagnosing failed builds and deployments
• Understand the relationship between pipeline stages, environments, and production deployments, and retrigger rollbacks
• Maintain awareness of all pipeline components
• Participate in on-call rotations for IT Service Management and incident response and support

Personal Attributes and Skills

The successful candidate would need to have the following competencies:

Behavioural skills

• Strong learning orientation with a willingness to continuously build technical and domain knowledge
• Structured and analytical approach to problem solving and debugging
• Effective prioritisation, planning, and organisation of tasks
• Ability to work under pressure and manage competing deadlines
• Proactive, action-oriented mindset with a collaborative approach to teamwork

Core Technical Skills

• Programming: Python (primary) and SQL, with the ability to write clean, efficient, and production-ready code for data processing, automation, and backend services
• Computer Science Foundations: Solid understanding of data structures, algorithms, and software design principles, with exposure to object-oriented and functional programming concepts
• Data & Databases: Basic knowledge of relational databases (PostgreSQL, MySQL, SQLite), including data modelling fundamentals, and data validation
• Version Control & CI/CD: Practical experience with Git-based workflows (branching, pull requests, code reviews)
• Comfortable working in Linux/Unix environments, using command-line tools, shell scripting, and debugging application and pipeline issues via logs and monitoring tools

Advantageous Skills (Nice to Have)

• Exposure to application development paradigms, including microservices, monolithic, or full-stack/web applications (e.g., FastAPI, Django, React, Next.js)
• Familiarity with CI/CD pipelines and release processes (e.g., GitHub Actions, GitLab CI, Jenkins, Cloud Build), including automated testing, build validation, and deployment workflows
• Exposure to cloud-native and data platforms, including containerisation (Docker), orchestration concepts (Kubernetes, Helm), and data pipeline or workflow tooling
• Exposure to observability and monitoring tools (e.g., Datadog, Dynatrace, New Relic), including working with logs, metrics, and alerts for debugging and performance monitoring
• Familiarity with AI/ML ecosystems and tooling, including: Basic ML concepts and model lifecycle (training, evaluation, deployment), LLM platforms and tooling (e.g., OpenAI, Anthropic, Hugging Face, RAG concepts), and agentic and workflow frameworks (e.g., LangChain, LangGraph, n8n, crew.ai)

Education and Experience

The following requirements are Essential:

• Matric with Mathematics and English
• Relevant tertiary qualification (e.g., Computer Science, Information Systems, Data Science, or similar)
• Up to 1 year of experience in software development or related practical exposure (internships, projects)
• Foundational understanding of:  SDLC and basic testing practices, database design concepts and relational data structures, version control and technical processes, and working knowledge of Python and SQL (PostgreSQL, SQLite, or similar relational databases advantageous)
   

go to method of application »

Key Purpose

• In this role you will be involved in creating opportunities that delight our customers by leveraging Discovery’s vast clinical, demographic, and operational data. The successful applicant will be working within a highly specialized and growing team investigating ways to optimize and improve client services for Discovery’s client schemes. The successful candidate must be motivated, productive and work well within a team.

Areas of responsibility may include but not limited to

• Lead the design, development, and deployment of LLM - and generative AI-based solutions that address large-scale and complex problems and materially drive the company’s global product offerings and strategy forward.
• Collaborate with product owners, project managers, and executive stakeholders to identify and prioritize business problems that can be solved with LLMs.
• Conduct desktop research into the state-of-the-art in LLMs and Generative AI and apply findings to real-world applications (either requested by business or suggested by yourself).
• Conduct research and development of speech-to-text and audio-based language models, integrating with LLM pipelines where applicable.
• Conduct experimental research on the use of LLMs in real-world company applications to ensure that design and development decisions are made scientifically and optimize for and balance all business requirements. These include accuracy, scalability, efficiency, reliability, safety, and cost-effectiveness.
• Translate strategic direction into technical product definitions and roadmaps.
• Participate actively in internal and external communities discussing and designing policies for the ethical use of AI and ensure your team’s work meets ethical AI standards.
• Contribute substantially to a culture of innovation, leading the prototyping and development of novel methodologies and approaches. Provide strong thought leadership in this regard.
• Communicate complex technical concepts to executives and non-technical stakeholders effectively.
• Demonstrate strong emotional intelligence by understanding and uplifting team members and skillfully managing challenging situations with composure.
• Advise other teams in the business on best practice based on your experience.
• Mining large structured and unstructured datasets to find new insights to inform operational efficiency and ‘member- delight’ interaction strategies
• Research and application of the most up to date machine learning algorithms and AI techniques
• Present data and model findings in a way that provides actionable insights to business users
• Monitoring model performance

Personal Attributes and Skills

• Expert in data science programming languages such as R, Python, Scala
• Expert in data manipulation skills including SQL to extract, transform and load data
• Experience in interactive data exploration and data-driven story telling
• Understanding and application of Big Data and distributed computing principles (Hadoop and MapReduce)
• Hands on experience with Big Data systems will be preferred
• Strong analytical and statistical knowledge with an understanding of the latest machine learning algorithms for both structured and unstructured data
• Ability to formulate problem statements and develop a plan for tackling the problem
• Strong ability to communicate findings and recommendations from data (visual, verbal and written)
• Production environment machine learning and AI
• A passion for data exploration and complex healthcare environment
• Self-starter
• Willingness to learn and grow exponentially
• A restless curiosity towards data and uncovering unknown correlations
• Ability to work cohesively in a team environment and balance multiple priorities
• A team player who can work alone when required and without supervision
• High level of attention to detail, resilience, enthusiasm, energy and drive
• Positive, can-do attitude
• Ability to adapt to emerging technologies and tools
• Proficiency in version control systems such as Git for collaborative coding and maintaining code integrity
• Ethical and able to maintain confidentiality and manage boundaries
• Aligned to Discovery values and core purpose

Education and Experience

• Honours or Master’s degree in either Data Science, Statistics, or Applied Mathematics with some experience in software engineering, computer science or working with big disparate sets of data, OR
• Honours or Master’s degree in Computer Science or Software Engineering with solid experience in statistical modelling, data mining and machine learning
• Other analytical qualifications will also be considered if accompanied by the relevant experience
• A minimum of 3-5 years’ work experience in a data science position

Technical skills additional (advantageous)

• A clinical background or qualification (e.g., MBBCh/MD, Nursing, Pharmacy, or Allied Health).
• Deep understanding of clinical workflows, medical terminology, and healthcare coding systems (e.g., ICD-10, SNOMED-CT).
• Experience working with clinical datasets such as Electronic Health Records (EHR) or pathology reports.

go to method of application »

Job Purpose

• The Credit Management team is responsible for the management and strategy setting of the entire credit life cycle, including acquisitions, account management, collections & modelling and measurement. This necessitates the maintenance of data assets and the development of analytical capabilities to support the monitoring, measurement, and predictive model development necessary to optimize critical outcomes from a credit management perspective.  The Credit MI analyst plays a very important role in supporting the credit management team in all these activities.

Areas of responsibility may include but are not limited to:

Business reporting

• Run, maintain and automate all daily/weekly/monthly/ad hoc reports via dashboards or other user-friendly methods
• Work closely with the credit risk management team on the implementation and scheduling of new reporting requirements
• Provide weekly, monthly & quarterly monitoring of key risk indicators (KRI) metrics pertaining to credit risk management
• Ad hoc reporting including data extraction and analysis.

Internal governance reporting

• Prepare, optimize and automate all reporting for regular internal governance committee meetings
• Maintain, monitor & execute daily, weekly & monthly assurance reports

Data assets & dashboards

• Support the credit management team to create reusable data assets to enable monitoring, measurement and predictive model development
• Work closely with the Bank’s data warehouse team to ensure these get optimized & automated
• Monitoring, improving & optimizing existing data assets
• Monitoring, improving & optimizing Power BI dashboards as required by business

Personal Attributes and Skills 

• A keen interest in all things data – exploration, analytics and creating information from the noise
• Resourceful and tenacious
• Self-motivated
• Focused on driving results
• Detail-oriented
• Organised and process oriented; ability to manage time effectively
• Ability to convey complex data in a concise understandable manner and distil the key messages
• Strong problem-solving skills
• Ability to work effectively across varying levels of management and multi-disciplinary teams
• Strong verbal and written reporting skills
• Quantitative / qualitative analytical skills

Education and Experience

• BSc/BCom Computer Science / Statistics / Applied Maths / Computer Engineering
• Minimum 3-5 years’ experience in Data warehouse / MI team, preferably within a Credit Risk Space
• Experience in data warehousing & managing technologies
• Retail banking experience is preferred

Technical skills or knowledge

• Programming capabilities in SAP HANA (SQL) / SAS / MS SQL Server (SQL) / Python
• Creating dashboards & data visualizations in Power BI or similar tools
• Knowledge of SDLC, Unit Testing, Database structures, Technical Change Control
• Technical stack (database platform, data movement and reporting)
• Data transformation and transfer (ETL)
• Confluence - documentation of data assets and reports

go to method of application »

Key Purpose of the role

• The role involves policy and benefit reviews to identify client needs. The Financial Advisor will ensure that clients are always aware of product enhancements that may benefit their existing or new need. The Financial Advisor will always conduct financial needs analysis and or assess risk appetite before recommending changes to their existing product structure and or fund portfolios.

Job Category

• We are looking for a suitably experienced Financial Advisor to become part of our vibrant and dynamic sales team. This individual will consult with existing Discovery Life, Invest and Insure clients to offer them specialist advice on their current products, benefits and or fund selection. This role drives ongoing servicing of existing clients and as such is remunerated on a non-commissionable basis.

Key Responsibilities

Your tasks will typically involve:

• conducting in-depth reviews of clients' financial goals, from risk protection to wealth creation
• conducting a financial needs analysis and preparing proposals best suited to meet individual clients' requirements
• providing clients with information on new and existing products, benefits and services
• designing financial strategies
• assisting clients to make informed decisions
• reviewing and responding to clients changing needs and financial circumstances
• contacting clients with news of new financial products or changes to legislation that may affect their savings and investments
• Review client policies regularly to determine if adjustments are needed because of personal or financial changes.

Personal Attributes and skills:

• Strong Customer focus
• Networking skills
• Proactive engagement
• Service orientated mind-set is critical
• Strong Planning and organisational skills

Qualifications and Experience:

Minimum

• Wealth management qualification with at least 120 credits
• RE5 qualification
• At a minimum 2 years’ experience as a Financial Advisor

Beneficial:

• Understanding of Financial Planning
• Knowledge of insurance (short-term, health, risk and investment industry)

go to method of application »

Key Purpose

• To provide the strategy, direction, formulate and lead the execution of the Discovery Health Systems (DHS) Solutions Cluster. The Solutions Cluster provides the solution capabilities, management and services (development and support) offering which is paramount to the successful provisioning of valuable product and services to our business and our customers

Areas of responsibility may include but not limited to: 

• Drive the optimisation and integration of the various components and domains (people, processes, standards, management frameworks, practices and technology).
• Ownership and accountability of the stability, reliability, agility and continuous innovation and implementation of the IT ecosystem.
• Identifying, managing and mitigating IT system and operational risk.
• AI Fluency and experience in AI technologies, approaches and production implementations(advantageous) as part of an enterprise architecture stack.
• Formulating, communicating and driving Discovery Health Systems Strategy – Ensuring alignment to Discovery Health/ Group strategic and operational requirements and expectations.
• People Management – creating a welcoming environment of trust and support that empowers people and liberates the best in them.
• Driving the skills development of team members, and coaching of team members for performance and career development.
• Recruitment, training and conflict management.
• Integrated IT ecosystem development – craft and deliver an Integrated Application development and support ecosystem (processes, people, standards, management frameworks, practices and technology) where all the components are aligned towards the strategic objectives of the business.
• Client relationship Management and Networking – Building trust with clients by displaying executive competence.
• Understanding business requirements, business systems and process context, potential impact and risks.
• Participating in client forums, EXCOs, MANCO’s, planning, strategy and troubleshooting sessions.
• Acting as a Consultant to the Internal Clients.
• Interfacing to other teams where required.
• Prudent management of CAPEX initiatives.
• Enterprise software and infrastructure expenditure.
• Interfacing to external clients – vendors and 3rd party partners.

Personal Attributes and Skills

• Values Driven 
• Optimistic and Dynamic 
• Effective communicator 
• Builds a sense of community in the Department 
• Problem Solver 
• Learns on the fly 
• Results focused 
• Resilient 
• People Savvy 
• Instills trust 

 At Discovery, Leaders:

• are inspirational leaders who live the values and believe in the core purpose
• are humble
• treat others with care, dignity and respect
• ensure that the business case prevails
• have a bias for action
• understand that people are Discovery's greatest asset
• build an environment for optimal performance
• set ambitious goals and implement the highest standards
• are students and Master of Communication?
• never stop learning
• have and express strong beliefs and views, yet are open-minded and support the chosen path

Education and Experience 

The following are essential requirements: 

• 10 to 15 years’ experience in management of IT teams for large commercial entities
• Experience in the Healthcare/Insurance sector.
• Masters, PgDip in Management, MBA advantageous

go to method of application »

Key Purpose

• Understanding the business requirements, and through a structured process documenting, validating and translating it into functional specifications that are used by developers to craft a technical solution.  Part of understanding the business requirements is understanding our user by working closely with the Usability analysts and having a good understanding of the users current interaction with our digital platforms. Testing and validating the functionality of the technical solution against the business requirements. Interfacing between the business client and the development team with regards to the business and functional requirements. Ensuring that the business requirements are delivered in the implemented solution. Working with multiple business areas and multiple teams that require deep integration of solutions. Building and maintaining strong relationships with clients, and acting as consultant on the application.  Playing the role of lead business analyst and going above and beyond to ensure the successful delivery of the project.

Areas of responsibility may include but not limited to

Business Case

• Identify and highlight opportunities for improvement.  Act as a consultant to the client on the application.
• Participate in client planning forums and advise on solutions.
• Assist business to articulate the benefits they wish to realize with the solution.

Customer Requirements Specification (CRS)

• Follow a structured process to understand and document client requirements.
• Facilitate activities like interviews or JAD sessions to expand the understanding of the business requirements.
• If required, perform analytical tasks, data extracts, run queries or any other form of analysis to gather information.
• Document the requirements in a Business Requirements Specification document which will include UML models.
• Conduct peer reviews of other BAs Requirements specifications.

Product Requirements Specification (PRS)

• Design and validate the functional solution.
• Build and demonstrate GUI prototypes, to validate designs by working closely with the Design team.

Project Documentation

• Perform Project Management activities, such as providing the client as well as the relevant team members with estimates of the duration of tasks.
• Provide updates to project schedules.
• Maintain project documentation.
• Act as a project manager: define and manage risks, define and document scope, update and report on progress, assign tasks and manage delivery.
• Manage and prevent scope creep.

Release Notes & Training Material

• Update and publish release notes related to the current system changes implemented, and notify impacted parties. Maintain and update the BRS and PRS with any added content.

Personal Attributes and Skills

Behavioral Skills

• Stress Management
• Time management and prioritization
• Creativeness
• Learning orientation
• Negotiation skills
• Innovation
• Natural curiosity about the ‘Why’

Technical Skills

• Project Management
• SQL queries
• Business Writing Skills
• Presentation and Facilitation Skills
• Solution Architecture
• Process Mapping
• Entity Diagram mapping
• Software testing pack design, functional testing
• Stakeholder Management

Education and Experience

Minimum

• Informatics or other relevant degree
• 8+ years business analyst experience

Advantageous

• Dip.BA (FTI or equivalent)
• 1 year user interface analyst experience
• Honours degree
• Business experience and product knowledge

Methodologies

Waterfall and Agile

Tools

• Enterprise architect
• Visio
• SoapUI (SOAP) / REST client (JSON)
• Atlassian tool suite (Jira, Confluence)

Processes

• ITIL (Incident, Release, Problem Management)

Technologies

• SQL (Oracle and IBM Netezza)
• UML
• XML
• JSON

Other

• Software architecture
• JAD sessions
• Data modelling techniques

go to method of application »

Key Purpose

• Maintaining our clients Data and Reporting needs on a Weekly/Monthly basis.

Areas of responsibility may include but not limited to

Responsibilities may include, but are not limited to:

• Capture, update, and maintain data accurately across reports and systems.
• Support the monthly and daily production of standardised reports by ensuring data is complete and up to date.
• Perform data validation checks to ensure accuracy, consistency, and completeness of captured information. (Data cleaning, formatting, and preparation for reporting purposes)
• Follow structured checklists and processes to ensure all required data has been captured correctly (Quality Assurance).
• Log and track data changes or requests from internal stakeholders.
• Maintain and update documentation related to data capturing processes and reporting procedures. (Provide general administrative and data support to internal teams)
• Identify opportunities to apply AI and automation to existing reporting, analytical, and operational processes.
• Participate in the design, testing, and implementation of AI-powered solutions and intelligent workflow automation.
• Assist in the development and enhancement of AI agents, chatbots, Copilot solutions, and analytics tools. (Research emerging AI technologies and provide recommendations)
• Work with business stakeholders to translate business challenges into AI-enabled solutions.
• Leverage Generative AI tools to improve reporting efficiency, documentation, insights generation, and stakeholder engagement.
• Contribute to the creation of proof-of-concepts (POCs) and innovation initiatives focused on AI adoption.

Technical core skills

• Strong attention to detail and high level of accuracy
• Good organisational and time management skills
• Clear written and verbal communication
• Ability to follow structured processes and guidelines
• Ability to work in a team environment
• Strong interest and practical experience working with Artificial Intelligence technologies.
• Experience using Generative AI platforms such as Microsoft Copilot, ChatGPT, Claude, Gemini, or similar technologies.
• Understanding of Prompt Engineering principles and best practices.
• Knowledge of AI-assisted analytics and automated insight generation.
• Ability to identify automation opportunities and design efficient business solutions.
• Curiosity and passion for emerging technologies and continuous learning.

Education and Experience

• Completed or studying towards a diploma/degree in fields such as Business, Information Systems, Mathematics, computer Science or other.
• 0–2 years of experience in a data capturing, administrative, or junior data role
• Basic to intermediate Microsoft Excel skills, or coding skills including:
• Data capturing and formatting, Use of basic formulas (e.g., SUM, IF)
• Sorting and filtering data, Simple tables and data organization
• Basic understanding of data management principles (data quality, accuracy, completeness)
• Ability to work with structured templates and reporting formats
• Exposure to AI-powered development tools and low-code/no-code platforms.
• Understanding of Microsoft AI ecosystem including Copilot Studio, Power Platform, Azure AI Services, or similar technologies.
• Ability to integrate AI tools into reporting and analytical workflows.

Advantageous (Nice to Have)

• Exposure to tools such as Power BI or other reporting dashboards
• Basic knowledge of SQL, VBA, or Python
• Experience working with operational or reporting data
• Experience creating business solutions using Power Platform would be advantageous.

go to method of application »

Key Purpose

To create brand and communication solutions that enable business to meet their objectives by:

• Driving and defining the implementation of brand and communication strategy and solutions.
• Interfacing with senior business people to define and co-ordinate brand or communication strategy.
• Understanding the impact of that strategy across business.
• The Marketing Manager is responsible to maintain and enhance InHouse schemes trusted brands and high standards by partners with business, other stakeholders and the InHouse scheme communication office. The marketing manager is responsible to develop and implement integrated and strategically aligned marketing and communications solutions. The incumbent operationalises strategy through applying best practice marketing principles, leverages key partnerships internally and externally, ensures projects are delivered on time and within budget. In addition, the Marketing Manager provides specialist marketing advice to the InHouse team – and stakeholders and is responsible for managing, coordinating and coaching a team, as required.

Areas of responsibility may include but not limited to

• Unpacking complex business needs to define, co-ordinate and deliver high impact marketing, communications and brand projects.
• Creating integrated, best practice and creative solutions which are in line with the Discovery marketing model (consistent across all brands, businesses and communities).
• Collaborating closely with and providing specialist marketing advice to key stakeholders including senior business people, the InHouse marketing team and Schemes to help achieve company and business unit objectives.
• Develop people through coaching (as required)
• Manage a budget
• Build and maintain relationships with Fund management, the schemes office
• Build and maintain relationships with key business people, both at a strategic and operational level
• Proactive
• Bringing ideas to business
• Doing feasibility studies and defining new ways of doing things
• Measure impact and drive corrective action
• Ensure effective implementation of plans
• Manage conflict

Competencies

Knowledge

• Awareness of different Discovery audiences, Discovery’s products and business processes
• Various media channels, including electronic
• Agency experience – design, media, advertising
• Print and production processes (including time lines and costing)

Skills

• Communicate well in English, with strong writing skills, and strong verbal communication skills
• Convert technical information into audience appropriate communication
• Influence and persuade people to get things done
• Possess strong project management skills
• Multi-task on multiple projects
• Question processes, strategy and outputs
• Present and sell ideas
• Negotiate
• Make decisions
• Solve complex problems
• Build trusted partnerships
• Manage conflict
• Manage trade offs
• Instil confidence in others
• Guide, develop and motivate others

Attributes

• Strong attention to detail
• Creative - Innovator
• Solution oriented
• Dynamic and energetic
• Tenacious and persistent
• Flexible and adaptable
• Naturally inclined to work hard
• Action oriented (doer)
• Have initiative - being a self-starter and able to work independently
• Ability to think outside the box
• Able to work calmly under pressure and provide answers and direction to others
• Team player
• People and relationship focused
• Confident
• Resilient
• Empathetic
• Diplomatic
• Sociable
• Seen as a trusted advisor by clients
• Driven
• Passionate

Education and Experience

Qualifications

• Minimum 3 year undergraduate degree or diploma (BA or B.Com in Marketing or Communication)
• Post graduate qualification in marketing is preferable
• Relevant industry qualification

Experience

• Minimum of 5 years’ experience in Marketing or Communication
• At least two to three years of experience in the restricted Schemes industry is preferred
• Experience in content marketing, product sales, advertising, rewards programmes, and client engagement would be advantageous