Programme Development, Delivery & Performance

Analytics, Modelling and Insight Generation (30% of time)

• Manage a small portfolio of data analysis grants, working closely with programme teams on design, interpretation and application of lessons back into programmes.
• Oversee the development of epidemiological, econometric, demand forecasting, cost-effectiveness and predictive models to forecast programme outcomes and resource needs to support informed decision-making for programme directors.
• Collaborate with Programme teams to continuously improve models based on evolving data insights.
• Provide insights on performance metrics and operational efficiency, ensuring they align with long-term organisational goals.
• Establish quality standards for models, including documentation of assumptions, limitations, validation processes and appropriate use cases.

Portfolio Performance Systems and Dashboards (30% of time)

• Support the design, maintenance and continuous improvement of SRHR portfolio dashboards for real-time performance management, providing technical guidance to programme teams and acting as the link between SRHR and Technology on integration with strategic mission dashboards.
• Oversee integration of programme data systems, partner reporting, and external datasets in preparing updates to senior leadership or external communications for decision-making and resource mobilisation.
• Define the core metrics, data flows, review rhythms and escalation triggers needed to manage SRHR portfolio performance.
• Ensure strong data validation, quality assurance, and governance processes are in place for all critical mission metrics, supporting programme teams with data quality audits and recommendations for improvement.
• Ensure responsible, ethical and secure use of SRHR data, including appropriate attention to data protection, safeguarding, privacy, bias and limitations in interpretation.

Programme team advisory/decision support (20%)

• Act as a resource to programme teams on monitoring frameworks, analytical methods and data analysis, as needed.
• Support programme teams to apply data and analysis more consistently to course correction, learning, adaptive management and investment decisions.
• Work closely with the Impact Knowledge Hub and the Tech4Impact Hub, CIFF’s Centres of Excellence on data and technology, to ensure SRHR priorities are included in cross-CIFF efforts to improve data systems like DHIS2 and population surveys and responsible AI-enabled predictive modelling.

Sector Knowledge & Profile Building (10% of time)

• Keep abreast of developments within national and international development sectors around effective philanthropy, implementation science and measuring impact, establishing appropriate information gathering networks and channels to deepen professional knowledge and skills.

Stakeholder & Partner Management (10% of time)

• Support engagement with technical partners, governments, and multilaterals as required on SRHR data, including working with technical partners to improve common modelling approaches.
• Work with grantees and technical partners to strengthen data quality, reporting systems and use of evidence for adaptive management.
• Promote best practices in SRHR data analytics in select global convenings.
• Alongside programme colleagues, manage selected relationships with technical partners, governments and other stakeholders where these are critical to SRHR data, modelling and performance objectives.

Membership of the Team

• Strengthen analytical consistency, quality and shared ways of working across SRHR programme teams.
• Mentor colleagues on data interpretation, modelling and performance management.
• Model collaborative, inclusive and evidence-informed ways of working.
• Promote a culture of data-driven decision-making and continuous improvement.
• Be a role model to less experienced team members, demonstrating CIFF’s leadership behaviours and providing mentorship to aid their growth.
• Adopt a coaching approach with colleagues which instils a culture of openness and trust, embraces diverse thinking, and encourages continuous improvement and learning.
• We operate a matrix structure so reporting lines can vary between specific aspects of the role.

Skills & Experience

Essential

• Strong quantitative analysis, modelling and forecasting experience, including, at least some experience in experience in:
  • epidemiological, econometric or predictive modelling.
  • cost modelling or cost-effectiveness analysis.
• Expertise in R, Stata, Python, advanced Excel, Tableau or Power BI.
• Ability to translate complex analysis into clear recommendations for non-technical senior audiences.
• Experience developing, maintaining or using dashboards, KPIs and performance monitoring tools.
• Strong understanding of data quality, validation, governance and limitations.
• Experience working across technical, programme and operational teams.
• Strong problem-solving and analytical judgement.
• Ability to collaborate effectively with external partners.
• English is CIFF’s business language – we expect all of our people to display outstanding verbal and written communication skills across all aspects of their role.
• Capacity to work in a range of cultural and socio-economic contexts, adapting style and approach appropriately and in a culturally sensitive manner to maximise effectiveness.
• A proven self-starter, who works with pace and resilience.

Desirable

• Experience with public datasets, DHIS2, population surveys or other health data systems.
• Awareness of how AI and predictive analytics can be responsibly applied to programme analytics and decision support.
• Experience in SRHR, HIV, global health, development or philanthropy.

Key Working Relationships

• Director, Programme Excellence – SRHR
• SRHR Programme Directors and teams
• Impact Knowledge Hub and Tech4Impact Directors
• External technical and research partners
• External partners and grantees

Management Dimensions

• Responsibility for managing a portfolio of USD 5-10 million, while contributing to decision-making for a combined portfolio valued at over USD USD 1B.

Compensation

• The starting salary for this role is £82,000.
• CIFF operates a hybrid work policy across all locations, which means employees work in the office and some of the time from home. We are happy to provide more information on this as part of the recruitment process.
• Alongside a competitive salary, we offer a generous benefits package here at CIFF that includes, but is not limited to the following.
  • Annual leave - 25 days per annum. Increasing by 1 day after each year of service to a maximum of 30 days.
  • Bonus - CIFF currently operates a discretionary bonus scheme.
  • Training allowance
  • Wellbeing allowance
  • Life insurance
  • Medical insurance

Application Deadline

• Please submit your application on or before Thursday 13 August 2026. CIFF reserves the right to close the job advert early if we receive a high number of suitable applications.

Diversity and Inclusion

Building and harnessing diversity of perspective and experience within CIFF is critical to us achieving