Job Description

The Manager, Programme Analytics – SRHR will play a central role in helping CIFF’s SRHR leadership make better, faster and more evidence-informed decisions across one of the foundation’s largest and most strategically important portfolios. Sitting at the intersection of analytics, modelling, programme performance and strategy, the role will turn complex data into clear insight that can inform investment choices, portfolio priorities, risk management and delivery decisions.

SRHR is a team of more than 20 people, managing over 150 contracts of over USD 1 billion. Programme managers and analysts are responsible for programme analytics, alongside all their other responsibilities. SRHR programme teams will continue to own programme-level analytics, including routine performance monitoring, partner data review and interpretation of dashboards. This role will work alongside them as a specialist analytical resource, helping strengthen rigour, consistency and confidence in the use of data across the portfolio. The postholder will bring additional capacity for complex modelling, cross-portfolio analysis, methodological advice, data quality improvement and decision-focused synthesis, while building programme teams’ capability to use data well in their own work.

Working closely with SRHR programme teams, senior leadership, the Impact Knowledge Hub, Tech4Impact and the Technology Team, the postholder will lead the development and use of high-quality dashboards, models and analytical products that strengthen CIFF’s understanding of performance, risk, value for money and potential impact. The role will help prioritise the highest-value analytical questions across the portfolio and ensure the right tools, systems and partnerships are in place to answer them well.

This is a role for someone who combines technical credibility with practical judgement: able to interrogate data and models rigorously, explain their implications clearly to non-technical audiences, and translate analysis into actionable recommendations for programme and investment decisions. The postholder will need to be technically fluent and sufficiently hands-on to challenge tools and outputs, while working through internal technology colleagues and external partners for larger-scale dashboard and system development.

Over time, the postholder will help embed a more data-driven operating model across the SRHR portfolio, supporting adaptive management, stronger partner performance, clearer escalation of risks and more confident senior-level decision-making.

In the first 12-18 months, success will look like:

• SRHR leadership has a clearer, more reliable view of portfolio performance, risks and opportunities.
• Priority models and dashboards are being actively used in investment and programme decisions.
• Strong existing data use is translated into more consistent portfolio-level insight, prioritisation and decision-making.
• Key data quality issues are visible, owned and being addressed.
• CIFF has stronger analytical products to support board reporting, external engagement and resource mobilisation.

Requirements

Strategy & Planning

• Collaborate with senior leadership to develop programme analytics and operational insights strategies, backed by robust data and evidence.
• Develop clear decision-support products for SRHR leadership, including investment scenarios, trade-off analysis, risk analysis and portfolio performance insights.
• Help prioritise the most important analytical questions across the SRHR portfolio, focusing effort where insight can materially improve decisions or outcomes.
• Build confidence among senior leaders in the interpretation, limitations and implications of analytical findings.
• Working either with sector colleagues or independently, prepare summary reports, board reports and portfolio investment reports, ensuring these are produced to a high standard and in a timely fashion, often within tight timeframes.

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.

Benefits

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

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.

Building and harnessing diversity of perspective and experience within CIFF is critical to us achieving our bold goals. We strive to deliver a work environment which is diverse, equitable and inclusive, respecting and embracing individual differences and needs, and enabling all members of the CIFF family to be at their best. We consistently work to enhance our policies and practices, ensuring that they actively support this intent. Our flexible, hybrid model of working seeks to accommodate the individual needs of our people and enhance employee wellbeing.