Openings at Discovery Limited

Key purpose of the role

• The Wellness Specialist will play a pivotal role in shaping the future of health and wellbeing at Vitality. This is an impactful and meaningful role within the Wellness team, combining clinical product expertise, research acumen, and strategic insight to deliver innovative, evidence-based solutions that improve member outcomes. The role demands the ability to interpret complex data, anticipate global wellness trends, and translate insights into interventions that drive measurable impact. Working closely with senior leadership and cross-functional teams, the Wellness Specialist will influence strategic priorities, lead high-profile initiatives, and position Vitality at the forefront of health behaviour change.

Areas of responsibility
The successful candidate will be responsible for, but not limited to, the following job functions:

• Shape Thought Leadership: Champion Vitality’s position as a global leader in health behaviour change by publishing influential white papers, insight briefs, and strategic narratives that supports Vitality’s strategy.
• Track and Anticipate Innovation: Maintain a forward-looking innovation tracker to identify global wellness trends and emerging opportunities; translate these into strategic recommendations that drive programme evolution.
• Drive clinical engagements with employers : Present at wellness forums and provide evidence-based recommendations as the clinical lead in employer interactions.
• Shape Clinical Product Development: Apply clinical expertise to design evidence-based wellness interventions, providing clear input that strengthens the team’s capability and delivers meaningful member outcomes.
• Communicate Insights with Impact: Confidently analyse health and wellness data, distilling complex insights into clear, executive-level presentations and actionable recommendations that shape products and strategy.

Competencies

• Analytical Mindset: You excel at solving problems, conducting research, and distilling complex information into clear, evidence-based recommendations.
• Project Coordination: You’re highly organised, able to plan and manage multiple priorities, and thrive in supporting or leading complex, cross-functional projects.
• Compelling Communicator: You have exceptional written and verbal communication skills and can confidently engage executive audiences with clarity and impact.
• Data-Driven Decision-Making: You’re proficient in advanced Excel, comfortable navigating dashboards, and skilled at turning data into actionable insights in collaboration with technical teams.
• Strategic Perspective: You can see the bigger picture, anticipate future needs, and contribute meaningfully to long-term strategic planning.
• Agile and Adaptable: You navigate ambiguity with confidence, embracing change as an opportunity to innovate and improve.
• Executive Presence: You project confidence, professionalism, and credibility in interactions with senior leadership, influencing decisions at the highest level.

Education and Experience

• Bachelor’s degree in Health Sciences required, preferably an MBChB. A postgraduate qualification such as an MBA, MPH, or Master’s in Public Health/Health Innovation/Strategy is highly desirable and will set candidates apart.
• Experience: 2–5 years of proven delivery and performance in a corporate environment. Experience working for a top-tier strategy consulting firm is highly desirable, along with exposure to strategy, product development, or health innovation.

Personal attributes

• Self-Driven: Proactive and results-oriented, with a positive, can-do attitude and the ability to work independently.
• Collaborative: Strong team player who works effectively across functions and manages multiple priorities with ease.
• Ethical and Discreet: Maintains the highest standards of integrity, confidentiality, and professional boundaries.
• Innovative and Growth-Oriented: Demonstrates curiosity, a passion for continuous learning, and the ability to translate new ideas into meaningful outcomes.
• Professional Presence: Consistently represents the organisation with credibility, discretion, and professionalism in all interactions.

go to method of application »

Key Purpose

• Based in the Marketing Data Science Hub team within the Marketing and Distribution space, the candidate is responsible for the design and implementation of processes, tools, methodologies, and frameworks for collecting and managing data effectively throughout its life cycle, from source through to finalised business insights. The data structures designed within this role will form the basis of a successful performance marketing team, and will allow for automated reporting, advanced analytics, and other operation support to clients within the Marketing and Distribution space.
• The candidate will work closely with the head of the Marketing Data Science & Analytics Hub to strategically build out a custom data environment to suit the above-mentioned needs in a way that will make learnings/data readily available to other users across Discovery. 

 Areas of responsibility may include but not limited to:

The BI Data Architect must understand the entire data landscape to ensure that solutions are implemented in a sustainable manner. Responsibilities include

• Interact with business and technical stakeholders to establish end-to-end information needs.
• Investigate and evaluate data sources to identify limitations and determine reliability and usability.
• Identify data redundancies and define and implement a road map to resolve.
• Design and implement data quality resolution strategies in conjunction with business and technical stakeholders.
• Implement appropriate data security controls to ensure that data is kept safe.
• Design and document conceptual, logical and physical data models and repositories using a variety of data modelling techniques.
• Design and document re-useable feature sets for machine learning pipelines.
• Design and document data orchestration frameworks that are required to maintain data models, repositories, feature sets and data science model predictions.
• Establish, maintain, and ensure compliance with data modelling and data integration standards
• Document and implement data management and governance standards and processes.
• Lead a team of data modellers and ETL developers in driving BI deliverables for business.
• Mentor young data professionals and assist with determining the learning path to increase capabilities within the team.

Competencies and experience

• Excellent oral and written communication skills.
• Strong analytical and problem-solving skills.
• Ability to navigate ambiguity and complexity.
• Solid experience in gathering data requirements and performing advanced data analysis techniques.
• Experience working with BI front-end tools to develop prototype solutions (Power BI) 
• Experience in designing conceptual, logical and physical data models and repositories at an enterprise level with a specific focus on re-usability.
• Strong database fundamentals (normalization and de-normalization).
• Dimensional Modelling (Kimball Methodology)
• Experience in ETL design and good understanding of ETL solution architectures.
• ODS, data warehouse, data mart, cube, database technologies and big data frameworks.
• Experience working with very large data volumes.
• Strong understanding of Master Data management (MDM), Metadata Management and Data Governance (DG).
• Strong SQL query writing ability (across database environments).
• Microsoft data technology (SSIS, SSAS, SSRS, T-SQL).
• Advantageous: Good understanding of structure, semi-structured and unstructured data sources (XML, JSON).
• Advantageous: Experience with GCP, Azure or AWS cloud architecture and data flow processes.
• Advantageous: Data science programming (Python, R, Java, C#).
• Advantageous: Experience in building machine learning feature pipelines.

Education 

• Bachelor’s degree in either computer science, computer engineering, information systems or a related field.
• Certifications in business intelligence or data science will be an added advantage.
• Minimum 5 years’ experience in BI / Data Science with over 3 years’ experience in implementing complete BI solutions at an enterprise level.