(Senior) Executive, Patient-Reported Outcomes & Healthcare Analytics

Overview:

The successful candidate will support the implementation, expansion and evaluation of Patient-Reported Outcome Measures (PROMs) across the Department of Medicine as part of its value-based care initiatives. This implementation and analytics-focused role combines project management, clinical operations, stakeholder engagement and data analysis to integrate PROMs into routine care, generate actionable insights, and advance patient-centred service improvement and research. The candidate will collaborate closely with multidisciplinary clinical, administrative, research, patient, digital and data stakeholders, as well as the cluster PROVE (PROMs) Office.

Job Responsibilities:

• Program Operations and Implementation:
• Timely delivery of agreed milestones, effective workflow implementation, strong adoption and prompt resolution of operational issues.

• Stakeholder Engagement and Communication:
• Effective stakeholder alignment, responsive engagement and clear, timely communication to support programme decisions and delivery.

• Data Analytics and Programme Evaluation:
• Reliable, timely analysis and reporting that demonstrates programme performance, patient outcomes and opportunities for improvement.

• Digital Health and Continuous Improvement:
• Effective enhancement of digital workflows and tools to augment PROMS implementation, with improvements informed by user feedback, data and operational needs.
  

Job Requirements:

• Bachelor's degree in Mathematics, Statistics, Data Science, Analytics, Health Services Research, Public Health or a related discipline.
• Approximately 2 years of relevant experience in programme operations, project management, analytics, quality improvement, research or a related field; experience in healthcare operations, healthcare research, public health or patient engagement would be advantageous.
• Demonstrated ability to plan and implement projects involving multiple stakeholders, manage competing priorities and follow through on deliverables independently.
• Strong written, verbal and presentation skills, with the ability to communicate complex information clearly to diverse stakeholders.
• Strong critical thinking, problem-solving and analytical skills, with competency in data visualisation and analytics tools such as Excel, Power BI or Tableau.
• Familiarity with PROMs, patient experience measurement, value-based care, implementation science, clinical research or behavioural science principles would be an advantage.
• Experience with SQL, Python or R, and knowledge of data modelling, database design, automation, survey design, psychometrics or longitudinal outcomes analysis would be advantageous.
• An additional academic background or formal training in Arts, Social Sciences, Psychology, Communications or Behavioural Sciences, as well as familiarity with healthcare data governance, privacy, ethics and regulatory requirements, would be beneficial.