• Own and shape end-to-end data strategy for China, Japan, South Korea, and India • Serve as senior analytics partner to CJKI country leaders and regional marketing leads • Ensure voice of CJKI users is embedded in Canva’s global product and growth strategy • Uncover structural drivers of growth and friction • Define best-in-class experimentation and measurement standards • Oversee evolution of trusted, scalable data products • Act as a force multiplier within the International Data team

• Lead the technical design, development, and architecture of cutting-edge AI and Generative AI solutions. • Serve as a trusted technical advisor to national and international clients. • Provide hands-on technical leadership and guidance throughout the entire project lifecycle. • Drive thought leadership in the evolving landscape of GenAI, large language models (LLMs), agentic AI systems, and emerging AI techniques. • Actively participate in presales activities, providing deep technical expertise for proposal development. • Collaborate with clients to understand their business challenges and translate them into actionable AI strategies and technical roadmaps. • Lead and manage specific technical workstreams within complex projects. • Contribute to the continuous development and technical refinement of Blend360's AI and Generative Solutions offerings.

Role Description The main objective of the assignment is to provide high-level advice and strategic guidance on efforts around gender data and statistics to support UN Women Afghanistan in building a comprehensive evidence base on gender equality and women's rights in Afghanistan. - Address the limited availability of accessible knowledge and analysis on the gender dynamics of Afghanistan. - Ensure decision-makers, advocates, and partners have robust, credible evidence for gender-responsive policy and programming choices. - Provide technical support on statistical modelling and quantitative analysis. - Advise on the development and refinement of composite indicators and indices suited to the Afghan context. - Maximise the analytical value of available data through innovative approaches. - Support the translation of complex quantitative findings into accessible analysis for policy and programming audiences. Qualifications - Master's degree in a relevant field such as statistics, applied statistics, mathematics, or a related quantitative field. - Bachelor’s degree in the above disciplines with two years of additional relevant experience may be considered in lieu of a master’s degree. Requirements - At least 10 years of progressively responsible work experience as a statistician with a master's degree in a quantitative field. - Excellent analytical and technical skills in quantitative data analysis, statistical modelling, and statistical methodologies. - Demonstrable experience in leading the production of indices, including the development of new composite measures. - Previous relevant experience working with data and statistics in areas related to gender equality and women's rights. - Previous relevant experience with international organizations, government agencies, or NGOs. - Any relevant certifications, such as a Certified Statistician (CS) or a Certified Analytics Professional (CAP). - Fluency in written and spoken English. - Knowledge of the other UN official working language is an asset. Benefits - Home-based consultancy. Company Description UN Women, grounded in the vision of equality enshrined in the Charter of the United Nations, works for the elimination of discrimination against women and girls; the empowerment of women; and the achievement of equality between women and men as partners and beneficiaries of development, human rights, humanitarian action and peace and security. - UN Women has been in Afghanistan for two decades. - UN Women Afghanistan currently has five key programme priorities: - Integrated Programming and Localization - Women’s movement building through core grant making - Policy and Research - Economic Resilience and Private Sector - Coordination, Access and Humanitarian Response

• Lead a team of data scientists, covering topics across retention and acquisition marketing • Oversee the development & maintenance of production-grade machine learning models, across topics such as customer lifetime value, customer segmentation, multi-armed bandits, media mix modeling, and attribution • Manage projects centered around marketing data analysis, including leveraging causal inference frameworks, to assess impact from efforts and drive outcomes • Integrate LLMs into data & operations workflows, to increase throughput & scale across domains • Mentor junior team members, enhancing analytical rigor throughout the PrizePicks Analytics Team • Effectively manage projects, ensuring deadlines and objectives are met, and business impact is made • Collaborate with senior leadership, to align marketing data science effort with overall company & marketing goals