Master’s degree in international public policy, (development) economics, or a related field, with coursework in quantitative methods; PhDs and MBAs also welcome
Minimum of 7 years of relevant work experience, with demonstrated ability to manage complex engagements with senior-level professionals, a proven track record in business development, and demonstrated ability to shape organizational strategy
Superior analytical, quantitative, structured problem-solving, and conceptual thinking skills
Experience translating business questions into analytical frameworks and appropriate metrics
Significant exposure to the design and management of evidence, learning, monitoring, and evaluation strategies and systems
Familiarity with global debates around M&E and the use of evidence for decision-making
Strong stakeholder management and client-facing communication skills, with the ability to present information in a structured and insightful way, both verbally and in writing
Significant project and people management experience
Demonstrated ability to coach and train others on technical matters
Substantive relevant work experience in low- and middle-income countries
Entrepreneurial self-starter mindset; highly adaptable and versatile, with strong multitasking skills
Ability to travel up to 20% of the time
Passion for making data-driven decision-making a reality in the development sector
English fluency (verbal and written)
Prior experience in consultancy or provision of similar professional services (preferred)
Expertise in multiple sectors of international development and/or humanitarian work, with added benefit for experience in public health and/or health economics (preferred)
Developed networks in the international development and/or humanitarian sectors (preferred)
Experience working in philanthropy and/or with government stakeholders (preferred)
Experience producing, publishing, and/or disseminating public goods for policy influence and advocacy (preferred)
Appreciation for the strengths and limitations of various data collection and evaluation methods, and ability to match the appropriate method(s) to a wide range of contexts and needs (preferred)
Expertise in specific areas of monitoring, evaluation, and learning (e.g., data science, AI technologies) (preferred)
Experience in the technology sector and/or with tech-first implementing organizations (preferred)
Familiarity with M&E technology such as data management tools (e.g., Salesforce, management information systems), data collection tools (e.g., SurveyCTO, ODK, Taroworks), and data visualization and insights tools (e.g., Power BI, Tableau, SQL) (preferred)
Experience leading project or program evaluations (preferred)
Familiarity with randomized controlled trials (RCTs) (preferred)
Professional proficiency in French and/or Spanish (preferred)
Lived experience in low- and middle-income countries (preferred)

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