Careers at Discovery Limited

Key Purpose

• The Health Compliance sub-pillar within Product Compliance is looking for a great person to join the team as a Compliance Guidance Officer to assist the Discovery Health group to effectively and efficiently manage its responsibility to comply with all the regulatory requirements and minimise the compliance risks identified in business.

Areas of responsibility may include but not limited to

• Assist management to define, set and manage the compliance framework, policies and standards specific to the function.
• Assist management with identification and evaluation of compliance exposures/regulatory breaches.
• Facilitate compliance and provision of guidance on applicable regulatory requirements, policies and strategic objectives by using compliance risk management principles.
• Provide strategic guidance and support on all regulatory matters.
• Independent compliance monitoring of the applicable business units.
• Engagement with first line compliance functions to provide guidance and independent challenge on compliance matters.
• Input into monthly and quarterly compliance reports to Senior Management, Board Committees and Boards.
• Provide content and input into regulatory training and awareness initiatives to relevant training teams.
• Track regulatory incidents and breaches and keep incident and breaches register up to date.
• Input into monthly and quarterly compliance reports
• Engagements with Regulators and with other interest groups in the medical schemes industry.
• Support management in the development and maintenance of the Compliance Risk Management Plans (CRMPs) as applicable to the business unit.
• Facilitate and assist with regulatory reporting, requests and queries.
• Ensure that specific team annual objectives are met.
• Monitor the adequacy and effectiveness of compliance controls and measures.
• Monitor the efficiency and consistency of any oversight arrangements.
• Give input into and update the relevant compliance monitoring programs where necessary.
• Engagement with regulatory bodies from time to time.

Education and Experience

• Relevant tertiary qualification
• The person must have a clear and in-depth understanding of the Medical Schemes Act and the medical scheme administration and managed care environment
• At least 3 to 5 years proven medical scheme compliance experience.
• Experience in drafting Compliance Risk Management Plans and conducting Compliance monitoring.
   

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Key Purpose

• The primary focus would be, from a systems and actuarial point of view, to investigate and resolve issues encountered on Discovery systems, ensuring that the product and business rules are adhered to, and continuously improving and optimising processess. This position is crucial in ensuring that the existing products are functioning at a level that meets policyholder expectations, and that the integrity of the products remain intact. The role is unique as it acts as a bridge between the purely actuarial product development teams and the physical implementation on the system. It contributes a unique combination of actuarial and IT skills to the product development team. A major part of this role is to balance the pressures of client expectations with the defined product rules, and to coordinate a resolution from an actuarial, and a systems perspective.

Areas of responsibility may include but not limited to

• Resolving defects and inconsistencies in product functions
• Balance the needs and expectations of the client, with intended product rules
• Identify and investigate root causes of recurring defects
• Develop automated tools for calculations and values checking
• Monitor the implementation of products and benefits
• Test and validate new products and benefits and their implementation on the system
• Inform and assist non-technical teams on product rules and issues
• Provide expertise and guidance on specific product workings to management, and other actuarial teams

Education and Experience

Essential:

• Matric with Mathematics
• Bachelor of Science (BSc), Bachelor of Business Science (BBusSc) or equivalent degree in Actuarial Science

Advantageous:

• Computer science experience
• At least 1 years of working experience as an Actuarial Analyst within the Life Insurance industry
• A311 exam passed or exemption obtained

Technical Skills and Knowledge

Essential:

• Intermediate proficiency in MS Excel
• Knowledge on Data Analysis
• Intermediate IT and coding skills
• Strong mathematical, statistical, and analytical skills
• Strong interpersonal and communication skills
• Take initiative and learn quickly, while being adaptable

Advantageous:

• Knowledge of the Life Insurance market.
• Experience in working with Databases (SQL)
• Experience in Actuarial Modelling, Problem Solving, Data Analysis and information science

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Key Purpose of the role

• To support the building of solid relationships with DFC (tied agency distribution force) and DCS (independent advisors) Franchises and their Consultants and Brokers. To provide these entities with support including product, industry knowledge and technical training. To further assist with servicing, marketing tactics and training in order to drive new business. To also assist with portfolio analysis in an attempt to ensure portfolio growth and to report on potential portfolio risks to relevant parties.

Areas of responsibility may include but not limited to

Provide full technical and training support on:

• Product
• Processes
• Insure Operating Platforms
• Technical system queries
• Provide assistance with escalated enquiries
• Assume accountability for first time resolution of escalated queries across administration, claims and new business platforms
• Escalate any trends in the business that may impact sales to the Head of Strategic Initiatives and Business Development and other relevant business heads
• Set up a reoccurring visitation calendar and visit client offices, Business Consultants and brokers in line with the visitation calendar

Personal Attributes and Skills

• Communication – written and verbal
• Basic MS Office
• Proficient in written and spoken English
• Exceptional analytical, problem solving and research skills
• Creative thinking
• A drive and commitment to exceed expectations
• Reliability and dependability – can be counted on
• A passion for personal development and growth with a high learning potential
• A commitment to excellence
• Treat others with care, dignity, and respect

Education and Experience

Grade 12 is essential.

• Maths (Minimum Level 4 – 50%)
• English (Minimum Level 4 – 50%)
• Maths Literacy (Minimum Level 5 - 60%)
• 2nd language (Minimum Level 4 – 50%)
• Incomplete tertiary studies will be advantageous

Specific Requirements:

• Not be engaged in post Matric studies or formal employment;
• Not have completed any previous Learnership.
• Be between the ages of 18 and 30 years;
• Have effective communication skills in the written & verbal English language;
• Possess basic computer skills mainly MS Excel & MS Outlook
• Must have a valid South African driver’s license
• Only South African candidates by birth will be considered

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Key Purpose of the role

• This Learnership leads to a nationally recognised FETC: Long Term Insurance NQF Level 4 qualification; which consists of structured learning components combined with practical/workplace experience in the Financial Services industry.

Areas of responsibility may include but not limited to

Long Term Insurance – Discovery Health:

• Call Centre: Medical Aid client servicing, claims, new business and health benefits administration

Personal Attributes and Skills

• Innovative/ critical thinking/ and problem solving skills
• Good attention to detail and levels of accuracy
• Sets high standards for quality and quantity and works in a systematic, methodical and orderly manner.
• Time management and planning skills
• Ability to effectively prioritize and execute tasks in a high pressure environment
• Ability to work independently and in a team orientated environment
• Service driven, a sense of urgency and a team player.
• Adapts to changing circumstances and handles criticism well and learns from it.

Education and Experience

Grade 12 is essential.

• Maths (Minimum Level 4 – 50%)
• English (Minimum Level 4 – 50%)
• Maths Literacy (Minimum Level 5 - 60% )
• 2nd language (Minimum Level 4 – 50%)
• May have an incomplete tertiary qualification (advantage)

Specific Requirements:

• Not be engaged in post Matric studies or formal employment;
• Not have completed any previous Learnership.
• Be between the ages of 18 and 25 years;
• Have effective communication skills in the written & verbal English language;
• Possess basic computer skills mainly MS Excel & MS Outlook
   

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Key Purpose

• The purpose of this managerial role is to lead the delivery of Agentic AI initiatives within the Data Science Lab, with accountability for translating high-value operational and clinical opportunities into safe, scalable, measurable AI-enabled products. The role will focus primarily on agentic workflows that combine large language models, structured data, retrieval, business rules, human-in-the-loop controls and integration with Discovery systems.
• The successful candidate will manage cross-functional delivery across data science, engineering, systems, operations, clinical, actuarial, privacy, security and business stakeholders. They will be expected to shape the roadmap, prioritise use cases, guide technical and product decisions, manage risks, and ensure that Agentic AI solutions move from prototype through evaluation, governance approval, production deployment and measurable adoption.

The role will lead work that:

• Delivers Agentic AI products that improve operational efficiency, servicing quality, clinical decision support and member outcomes.
• Turns ambiguous business problems into prioritised AI use cases with clear value cases, success measures, risks and delivery plans.
• Builds and evaluates AI-enabled workflows using large language models, retrieval, structured data, business rules and human oversight.
• Maintains a disciplined culture of measurement, governance, experimentation, adoption and continuous improvement.

Areas of responsibility may include but are not limited to:

Agentic AI Product Delivery and Roadmap Support

• Support the development and delivery of the Agentic AI roadmap for priority DS Lab initiatives, helping move opportunities from concept through implementation and adoption.
• Contribute to use-case prioritisation by balancing business value, feasibility, risk, operational readiness and strategic alignment.
• Coordinate with multidisciplinary teams to shape AI-enabled workflows that may combine LLMs, retrieval, structured data, business rules, workflow orchestration and human-in-the-loop controls.
• Help define success measures, evaluation approaches, rollout considerations and feedback loops so that solutions remain practical, measurable and aligned to business needs.

Technical Enablement, Governance and Responsible AI

• Work with technical specialists to guide appropriate choices around AI architecture, model selection, prompt and tool design, retrieval approaches, evaluation methods, deployment patterns and production monitoring.
• Ensure Agentic AI solutions are developed with appropriate attention to privacy, security, data governance, responsible AI and operational risk requirements.
• Create clear documentation of assumptions, controls, limitations, failure modes, escalation paths and audit requirements.
• Promote alignment with Group AI standards, privacy requirements and security approval processes.

Stakeholder Management and Business Adoption

• Work with business, operational, clinical, actuarial, systems and governance stakeholders to build alignment on priorities, decisions, risks and delivery dependencies.
• Translate complex AI capabilities into practical business language, implementation considerations, operating model implications and expected benefits.
• Drive adoption by helping ensure AI products are embedded into real workflows, with appropriate training, feedback mechanisms, change management and continuous improvement.

Data Science, Experimentation and Personalisation

• Contribute to adjacent data science work where it supports Agentic AI delivery, including predictive modelling, causal inference, experimentation, personalisation, optimisation and impact measurement.
• Encourage analytical approaches that are appropriate, reproducible, well-documented and aligned with the business decision or workflow being improved.
• Use measurement and experimentation thinking to help assess whether solutions are working, for whom, under what conditions, and with what operational or member impact.

Technical Skills

Required

• Strong experience delivering data science, machine learning, generative AI or Agentic AI solutions in a business environment.
• Practical understanding of LLMs, retrieval-augmented generation, AI agents, workflow orchestration, evaluation, guardrails and human-in-the-loop design.
• Proficiency in Python and SQL, with the ability to guide technical teams on analytical design, code quality, reproducibility and production readiness.
• Strong foundations in statistics, machine learning, experimental design, model evaluation and impact measurement.
• Ability to manage delivery across technical, operational, governance and stakeholder workstreams.

Advantageous

• Experience with cloud platforms, preferably GCP, and production AI or data science deployment patterns.
• Experience in healthcare, insurance, clinical operations, servicing operations, behavioural science or personalisation contexts.
• Experience with privacy, security, model risk, responsible AI or technology governance processes.

Education and Experience

• Honours, Master’s or PhD degree in quantitative disciplines such as Computer Science, Data Science, Statistics, Mathematics, Actuarial Science, Operations Research, Industrial Engineering or Applied Mathematics.
• Demonstrable experience leading or managing data science, machine learning, AI, analytics or technology delivery initiatives.
• Experience managing stakeholders, delivery plans, technical decisions, risks and measurable outcomes across multidisciplinary teams.
• Equivalent qualifications or alternative pathways will be considered where supported by strong technical, analytical and managerial capability.

Personal Attributes and Skills

• Commercially minded and motivated to use Agentic AI to solve meaningful healthcare, operational and business challenges.
• Able to lead through ambiguity, structure complex problems and make pragmatic decisions under uncertainty.
• Strong stakeholder management and executive communication skills, with the ability to explain AI risks, trade-offs and value clearly.
• Evidence-based, delivery-focused and comfortable balancing speed, quality, safety and governance.
• Collaborative, accountable and able to build trust across technical, operational and governance teams.
• Curious, well-read and committed to keeping the team close to the cutting edge of applied AI while remaining grounded in business value.
• Aligned with Discovery's values and core purpose.

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Key Purpose

• Provide support with all queries including but not limited to Claims investigations, benefit limits, new business, chronic medication and general queries such as explaining policy, protocol and benefit decisions
• Identifying and proposing solutions to processes and service related failures. Building and establishing relationships at all levels to facilitate first time resolution of queries

Key Outputs

• Focuses on customer needs through the resolution of queries
• Scrutinizes numerical data, verbal data and all other sources of information so as to ensure a thorough investigation into queries presented and produces workable solutions to a range of problems.
• Presenting and communicating information effectively so as to ensure clear understanding and buy-in
• Establishes good relationships with customers and staff (both internally and externally) to wide and effective networks. Gains clear agreement and commitment from others by persuading, convincing and negotiating.
• Resolve highly escalated queries swiftly and efficiently
• Coordinating own and team’s administration
• Ability to draft written responses of an excellent and consistently professional standard in English, occasionally subject to executive and legal scrutiny      

Competencies

Behavioral Competencies

• Action orientated
• Being open and receptive to feedback and change
• Deciding and initiating action
• Ethics and Values
• Managing diverse relationships
• Adapting to change
• Communication and writing skills
• Ability to work independently
• Meeting and exceeding customer expectations

Skills

• Time Management
• Verbal and written communication
• Problem solving skills Presentation skills Relating to others

Knowledge

• Extensive understanding of the Discovery Health Product Benefit and process knowledge

Qualifications & Experience

Essential

• Matric
• Afrikaans (Speak and Write)
• MS Office Knowledge
• Minimum of 12 months Face-to-face customer service experience
• Valid driver’s license and own transport

Advantageous

• Afrikaans speaking (speak, read and write)
• Relevant tertiary qualification
• In-depth knowledge of the Sasolmed product, processes and systems
• Medical Scheme Industry knowledge and Medical Scheme’s Act knowledge

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Key Purpose

• The purpose of this role is to support the delivery of data science, machine learning, causal inference, and AI solutions that improve member engagement, health outcomes, operational performance, and business decision-making.
• You will work on analytical, modelling, and AI initiatives under the guidance of experienced data scientists, taking increasing ownership of defined workstreams as your skills and experience develop. This role is suited to someone early in their data science career who is eager to build strong foundations in statistical thinking, machine learning, causal inference, experimentation, and AI-enabled decision systems.

You will be part of a team that:

• Develops predictive, causal, and personalised models that improve member and business outcomes.
• Designs experiments and measurement frameworks to determine what works, for whom, and why.
• Apply machine learning, optimisation, and AI to healthcare and operational challenges.
• Builds AI-enabled decision systems within a culture of measurement, governance, and continuous improvement.

Areas of responsibility may include but are not limited to:

Data Analysis, Modelling and Causal Inference

• Support data analysis, feature engineering, model development, and evaluation.
• Build and refine statistical, machine learning, and causal models.
• Contribute to experimentation, impact measurement, and evaluation frameworks.
• Maintain reproducible analytical pipelines and documentation.

Experimentation and Personalisation

• Support test-and-learn initiatives from design through interpretation.
• Identify personalisation opportunities using behavioural, clinical, digital, and operational data.
• Develop models that improve targeting, prioritisation, and intervention effectiveness.

Agentic AI and AI-Enabled Workflows

• Support the development, evaluation and deployment of AI-enabled workflows that combine language models, structured data, information retrieval, and business rules.
• Assess AI solutions for reliability, safety, and business value.
• Document assumptions, limitations, risks, and failure modes.

Delivery and Communication

• Deliver well-scoped analytical, modelling, and AI-related workstreams.
• Collaborate with stakeholders to translate business problems into analytical approaches.
• Communicate findings, recommendations, and limitations clearly.

Technical Skills

Required

• Proficiency in Python for data analysis, statistical modelling, and machine learning.
• Experience working with SQL, relational databases, and structured data.
• Strong foundations in statistics, machine learning, experimental design, and model evaluation.
• Ability to write clear, reproducible, and well-documented analytical code.

Advantageous

• Exposure to causal inference, cloud platforms (preferably GCP), Git, or production data science workflows.
• Exposure to generative AI, large language models, retrieval-augmented generation, or agentic AI.
• Experience applying data science in healthcare, insurance, behavioural science, or personalisation contexts.

Education and Experience

• Bachelor's or Honours degree in quantitative disciplines such as Computer Science, Data Science, Statistics, Mathematics, Actuarial Science, Operations Research, Industrial Engineering, or Applied Mathematics.
• Demonstrated aptitude for quantitative problem-solving through academic achievement, research, projects, competitions, internships, or work experience.
• Postgraduate study, research experience, or data science competition participation would be advantageous.
• Equivalent qualifications or alternative pathways will be considered where supported by strong analytical and technical capability.
• Prior industry experience is advantageous but not required.

Personal Attributes and Skills

• Curious and motivated to use data, statistics, and AI to solve meaningful healthcare and business challenges.
• Analytical, hypothesis-driven, and evidence-based.
• Strong problem-solving and communication skills.
• Comfortable with ambiguity, continuous learning, and iterative improvement.
• Able to balance multiple priorities while maintaining a broader business perspective.
• Collaborative, accountable, and proactive.
• Aligned with Discovery's values and core purpose.
   

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Key Purpose  

• Within the Health Benefit Solutions area, the Business Analyst must work to understand the overall business need, define the requirements, document the requirements using various approaches such as use cases then decompose the requirements to a sufficient level of detail allowing the implementation team to take action.  
• The Business Analyst will support the project throughout the project lifecycle and will manage the release as well as post release monitoring.  
• The Business Analyst in the Benefit Solutions area must be technically minded and be able to understand basic development principles.  

Areas of responsibility may include but not limited to:  

The successful candidate will be required to perform but not limited to the following key outputs in respect of the Health Benefit Solutions – DCC portfolio: 

• Run a requirements gathering/JAD workshop to gather new requirements  
• Document business requirement specifications under supervision of a Senior BA  
• Accurately document functional requirements specifications clearly defining project objectives  
• Construct complex process models and can create UML models  
• Execute user acceptance or system testing  
• Resolve requirements conflict through effective stakeholder engagement  
• Present options and recommendations to stakeholders  
• Offer support and guidance to junior business analysts  
• Identify and document project risks, issues, assumptions and dependencies  
• Identify and perform process improvement work  
• Perform quality assurance of business analysis deliverables  

Competencies  

The successful candidate must demonstrate the following competencies: 

• Project Management 
• Requirements development 
• Change control 
• Release management 
• Solution development 
• Software Testing 
• Analytical thinking and conflict management 
• Personal organisation and time management skills  
• Business writing skills and presentation and facilitation skills  
• Communication skills (written, verbal/presenting and listening)  
• Stress management skills and negotiation skills  
• Problem Solving 
• Deadline driven 
• Innovative 
• Ability to build relationships with people from all different backgrounds and at different job levels    

Education and Experience 

• Diploma in Business Analysis, BSc Information Systems or am equivalent 3-year IT qualification. 
• 5 years ‘experience as a Business Analyst  
• Certification in UML and BPMN course 
• Experience in PL/SQL  
• Experience in Testing, Process mapping and UML modelling.  
• Requirements analysis experience 

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About the Role

• The successful candidate will be responsible for evaluating, monitoring, and improving the effectiveness of an organisation’s information systems, technology controls, security processes, and compliance with policies and regulatory requirements. The role ensures that IT environments are secure, efficient, and aligned to business objectives.

Areas of responsibility may include but not limited to

 Strategic

• Assist in attending to management queries.
• Build / maintain relationships with the Discovery companies and other Assurance Providers:
• Discovery Invest, Life, Employee Benefits, Insure, Corporate, Health, Vitality RSA, Vitality Group, Vitality Health, Vitality Life, External Audit.
• Facilitate the maintenance of risk profiles (inherent & residual view of IT risks).
• Challenge risk management information received from the business and provided meaningful input to management on where IT risk management processes and controls can be improved.

 Technical

• IT General Controls
• Application Controls
• Technical Infrastructure
• Project and Programme Management
• Cyber and Information Security
• Data Assurance, Data Analytics, continuous auditing via Computer Assisted Auditing Techniques (CAATs): advantageous

Operational

• Ensure audits are performed in line with Audit Methodology.
• Provide feedback to Audit Management on the planning, execution and reporting of the audits.
• Obtain input from the Audit Management relating to risks associated with the audit topic.
• Ensuring that all risks are addressed for the specific audit engagements.
• Follow up with Group Risk, Compliance and Forensics on any pertinent issues affecting a audit.
• Defining the purpose, scope and audit approach of each audit for assigned areas of audit coverage.
• Assist Audit Management in determining the scope of Internal Audit assignments.
• Prepare engagement letter for review by Audit Management.
• Prepare/review the Audit Planning Memorandum (APM).
• Prepare/review approved system descriptions, walkthroughs and/or process flow diagrams and address/raise review notes where applicable.
• Prepare/review risks and controls matrix (RACM) and address/raise review notes were applicable.
• Prepare/review test procedures and address/raise review notes where applicable.
• Obtain approval from Audit management with regards to any changes to RACM, audit test procedures / sample sizes.
• Perform testing and document working papers on Audit Software where applicable.
• Review working papers on Audit Software (performed by IT Auditors) and raise review notes where applicable.
• Prepare/review the Audit Finalisation Checklist at the end of an audit.
• Close day to day supervision of the IT Auditors and process of work.
• Provide regular progress updates (at least weekly) on audit assignments.
• Keep track of the budget and timesheets on a weekly basis and submit to Audit Management.
• Escalate in timely manner to Audit Management if deadlines are not going to be achieved.
• Escalate cases where feedback is not received.
• Advise Audit Management immediately about any problems experienced on completing audit.
• Monitoring the quality of work performed by the audit team and taking corrective action (where applicable).
• Provide training and supervision to audit team to ensure that that the required audit objectives are met and adequate practical coverage is achieved.
• Ultimately responsible for quality of audit files (MK or other).
• Proactively take on additional tasks as requested by Audit Manager.
• Provide meaningful input and monitor the effective and timely implementation of management actions to address any control weaknesses identified through risk profiling, risk events and control self- assessment.

Follow-ups

• Follow up on outstanding audit issues and management actions.
• Preparation and submission of follow-up progress reports for risk and/or audit committees.

 Development

• Self-development: studying, attending courses, external courses, e-Learnings.
• Present training to the IT audit team.
• Completion of mini appraisals
• Schedule meetings with Audit Manager for the combined review of mini appraisals.

General

• Stay up to date with Internal Audit profession and industry developments.
• Ongoing development and improvement of audit methodology.
• Travel if required.

Education and Experience

• B Degree or equivalent (and relevant) qualification (with Computer Science / Computer Auditing/ Information Systems / Auditing as majors)
• CIA / CISA / CISM / CRISC / CGIT (one or more of the afore mentioned is required)
• 2+ years audit experience
• IT General Control Reviews.
• Application control reviews.

Essential knowledge:

• Internal Controls
• Risk management framework (COSO)
• IT General Control reviews
• Application Control reviews
• Internal controls
• Corporate and IT governance
• IT Infrastructure technical knowledge (reviewing of databases and operating systems)
• CAATs / data analytics
• Cyber and information security
• Computer literacy

 The following would be deemed as an advantage (and would be required for career progression):

• Studying towards or in possession of relevant Bachelors or Honours Degree
• Financial Services experience

 Competency

• Analytical Thinking Ability: ability to split a task or problem into its component parts and use these in a logical and systematic manner to reveal all the implications of the consequences of situations
• Communication Skills: able to communicate clearly both verbally and in writing.
• Relationships: building relationships with auditees, business and external auditors.
• Reporting Skills: ability to consolidate information and compile reports reflecting the necessary relevant information
   

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Key purpose
To effectively coach eligible members in various programs ensuring that:

• The coaching program outcomes and objectives are achieved.
• Members achieve sustainable health and lifestyle improvements in addition to their personal key objectives.

Key outputs

• Applying various coaching techniques to allocated members to ensure program and personal goals are achieved
• Building positive relationships to ensure successful outcomes
• Effective planning and organizing of schedules and sessions to optimize program adherence and completion rates.
• Assist members with benefi t navigation, referrals and activations to optimize benefi ts available to them under their scheme and non-scheme products.
• Health and Lifestyle education, tracking and monitoring to achieve sustainable improvements.
• Educate members on how to manage certain chronic diseases to avoid relapses, hospital admissions and disease progression with the necessary referral to the relevant health care professional and other therapeutic interventions.
• Accurate tracking, reporting and capturing of coaching sessions.
• Meeting set targets: productivity, quality, customer satisfaction scores.
• Calling eligible members to enroll into the various coaching programmes
• Keeping up to date with industry updates and developments
• Applying professional verbal and written communication skills required through all coaching interactions with members.

Competencies

• Written Communications: Is able to write clearly and succinctly in a variety of communications settings and styles; can get messages across that have the desired eff ect.
• Self-Development: Is personally committed to and actively works on continuously improve him/herself; understands diff erent situations and levels may call for diff erent skills and approaches; works to deploy strengths; works on compensating for weakness and limits
• Action Oriented: Enjoys working hard; is acti on oriented and full of energy for the things he/she sees as challenging; not fearful of acti ng with a minimum of planning; seizes more opportunities than others
• Interpersonal Savvy : Relates well to all kinds of people—up, down, and sideways, inside and outside the organization; builds appropriate rapport; builds constructive and effective relationships; uses diplomacy and tact; can defuse even high-tension situations comfortably
• Customer Focus: Is dedicated to meeting the expectations and requirements of internal and external customers; gets first-hand customer information and uses it for improvements in products and services; acts with customers in mind; establishes and maintains eff ective relationships with customers and gains their trust and respect
• Learning on the fly: Learns quickly when facing new problems; a relentless and versatile learner; open to change; analyzes both successes and failures for clues to improvement; experiments and will tryanything to fi nd solutions; enjoys the challenge of unfamiliar tasks; quickly grasps the essence and the underlying structure of anything
• Time Management: Uses his/her time eff ectively and effi ciently; values time; concentrates his/her efforts on the more important priorities; gets more done in less time than others; can attend to a broader range of activities

Qualifications and Experience

• Clinical qualification accredited with a health professions body
• Knowledge of DH and Vitality products, benefits, funding, and policy rules
• Coaching experience advantageous
• Excellent communication skills, written and verbal
• Proficient in MS Excel, Word, PowerPoint