MEAL Expert

AREA – International Programmes –Programme Quality, Impact and Innovation (PQII).

REFERENT -MEAL Manager

PLACE OF WORK –  Rome HQ offices

TYPE OF CONTRACT Co.Co.Co (collaborazione coordinata e continuativa), 12 months

ANNUAL GROSS SALARY  Up to 35.000€

SAFEGUARDING LEVEL – 1

JOB PURPOSE

The MEAL Expert will contribute to advance the capacity of the MEAL function in SC Italy to generate/acquire robust evidence in response to new funding models and replication and scaling up opportunities in the framework of child-lens investing.

RESPONSIBILITIES

In alignment with SC Global Venture in close coordination with internal and external actors supporting SC Italy’s international programmes innovative finance and results-based financing opportunities:

• Guide the identification and application of appropriate impact measurement and management frameworks applicable to results-based financing and impact investment funds.
• Be the focal point for MEAL on the design and implementation of impact measurement components of innovative finance and results-based finance initiatives.
• Ensure that robust and consistent impact data is collected and included into the regular reporting.
• Design and build dashboards to generate individual and aggregated relevant insights.
• Responsible for reviewing, analysing, and aggregating social/environmental impact data.
• Ensure that impact information is being used for the team’s decision-making processes.

In close coordination and under the needs identified by SC Italy thematic advisors:

• Lead on the acquisition of evidence and learning across programmes in identified sectors and/or with an innovation component, to promote quality improvement across programmes in implementation and ensure highest standards in new programme design.
• Lead on synthesising, summarising, packaging and sharing data and evidence to inform new project design, improve quality in implementation and support in engagement work.
• In close collaboration with TAs, BD and Portfolio management colleagues, identify potential processes to ensure integration of evidence and learning into existing / new programming.
• Support proposal development processes in line with allocation criteria and identified priorities, promoting the highest standards in the definition of the MEAL component and ensuring the integration of Evidence and Learning gathered through ongoing flagship programmes.
• Promote application of Global indicators in relevant projects and ensure adherence to SC global standards and procedures by providing guidance and/or liaising with thematic focal points in SC Italy and global level.

QUALITIFICATIONS AND EXPERIENCE

• Degree in Economics, or other relevant studies.
• At least 3 years of relevant experience in results-based management, qualitative and quantitative research methods, monitoring and evaluation principles and standards, indicator measurement, data analysis and reporting.
• Knowledge and/or experience in social finance, impact investment funds, innovative finance, including accelerators and incubators acquired through studies or work experience.
• Experience in adolescent and youth empowerment programming, private sector and ecosystem development.
• Strong written and verbal communication skills in English, with demonstrated ability to communicate technical evidence and data clearly and convincingly to a variety of audiences.
• Curiosity and interest in exploring AI solutions to maximise evidence acquisition and synthesis capacity.
• Conversant with relevant IT solutions for data visualisation (e.g. PowerBI) and for visually appealing products (e.g. Canva, Adobe Indesign).
• Fluent in Italian and English, Spanish or French desirable.

SOFT SKILLS

• Strong commitment towards SC mission and team goals.
• Able to work effectively with others towards the achievement of common objectives.
• Capacity to relate to a different range of internal and external stakeholders.
• Flexible and adaptable to changing context.
• Pragmatic/solutions oriented/problem solver yet having strong analytical skills.