
51 - 200 employees
💼 Consulting
📦 Logistics
🏭 Manufacturing
Consulting • Logistics • Manufacturing
ALU is a company specializing in developing and providing innovative product display solutions for various industries, including apparel, sportswear, cosmetics, and department stores. Their offerings include products like the Autopole, Insula, Plot, Tondoquadro, and others designed for efficient and aesthetically pleasing presentation and organization. ALU also engages in creating temporary showrooms and pop-ups, such as their collaboration with Nike Jordan in Paris, and virtual showrooms. Based in Italy, they emphasize modern design and functionality, aiming to enhance the customer experience in retail environments.
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51 - 200 employees
💼 Consulting
📦 Logistics
🏭 Manufacturing
Consulting • Logistics • Manufacturing
ALU is a company specializing in developing and providing innovative product display solutions for various industries, including apparel, sportswear, cosmetics, and department stores. Their offerings include products like the Autopole, Insula, Plot, Tondoquadro, and others designed for efficient and aesthetically pleasing presentation and organization. ALU also engages in creating temporary showrooms and pop-ups, such as their collaboration with Nike Jordan in Paris, and virtual showrooms. Based in Italy, they emphasize modern design and functionality, aiming to enhance the customer experience in retail environments.
• Build the trust infrastructure for ALG’s next phase of scale: the methodologies, systems, validation partnerships, dashboards, governance, and public-facing evidence needed to make our impact claims credible under scrutiny • Develop and own ALG’s impact methodology, including approaches to data collection, verification, sampling, extrapolation, attribution, contribution, confidence intervals, error margins, data quality, and limitations • Define the standards for what ALG can claim internally, what can be shared with donors, what requires caveats, and what is ready for external publication or independent validation • Move ALG’s impact narrative beyond short-term placement statistics to include income lift, economic mobility, promotions, entrepreneurship, household uplift, family support, resilience, and long-term career progression • Strengthen internal alignment around core impact definitions, metrics, data sources, reporting standards, and evidence thresholds, ensuring leadership, fundraising, product, and program teams are working from a single source of truth. • Design and lead a rigorous research and evaluation agenda, including RCTs, quasi-experimental studies, tracer studies, longitudinal research, employer studies, learner surveys, and mixed-methods evaluation. • Identify which research methods are appropriate for different programs, geographies, and questions — balancing gold-standard rigor with the practical realities of a fast-moving, scaled organization. • Build partnerships with credible external validators, researchers, economists, evaluation firms, academic institutions, and research labs to strengthen public and donor confidence in ALG’s impact. • Create a roadmap for when, where, and how ALG should pursue external validation, publish findings, commission independent evaluations, or subject its methodology to external review. • Ensure external validation efforts are directly connected to organizational learning, fundraising, program improvement, and public trust, not research for research’s sake • Partner with Data, Product, Engineering, Learning, Community, and Operations teams to embed impact measurement across the learner journey, from registration and baselines through program completion, transition into work, long-term outcomes, and alumni progression • Strengthen data pipelines and verification systems across surveys, platform data, CRM tools, employer feedback, relationship manager inputs, alumni updates, financial or KYC rails, LinkedIn/digital trace data, and other relevant sources. • Build QA and governance systems that make impact data audit-ready, including audit trails, anomaly detection, dashboard health checks, data dictionaries, internal controls, documentation, and clear ownership for core metrics. • Ensure dashboards and data products are reliable, donor-friendly, methodologically clear, and able to distinguish between actuals, estimates, projections, and externally validated outcomes • Work with technical teams to make impact data useful for decision-making, not just reporting, including predictive insights, segmentation, learner support interventions, and program improvement • Develop donor-facing and public-facing collateral that clearly explains ALG’s evidence standards, collection methods, verification layers, sampling approach, extrapolation logic, audit protocols, and methodological limitations • Partner with Fundraising and Partnerships to create credible impact assets for major donors, institutional funders, governments, employers, and strategic partners • Produce or oversee white papers, methodology briefs, board materials, impact reports, donor evidence packs, and thought leadership on ALG’s approach to economic mobility, AI-era workforce development, youth employment, entrepreneurship, household uplift, and durable career resilience • Lead a practical learning agenda that identifies the highest-value questions ALG must answer to improve outcomes, strengthen funder confidence, and scale responsibly • Translate impact data into actionable insights that improve learner experience, program design, community support, employer engagement, fundraising, and long-term outcomes • Lead and strengthen the Impact Team, building a culture that is rigorous, fast, transparent, ethical, analytical, and deeply connected to organizational strategy • Build the team’s capabilities across impact evaluation, data quality, analytics, survey design, storytelling, research partnerships, donor collateral, and product collaboration • Create operating rhythms that ensure the Impact Team is proactive, responsive, and embedded across the organization rather than functioning as a retrospective reporting unit • Serve as a senior advisor to leadership on impact claims, data risks, evidence quality, external validation, donor diligence, and public communication • Bring rigor without rigidity, structure without bureaucracy, and external credibility without slowing down ALG’s entrepreneurial pace
• 10+ years of relevant experience in impact evaluation, applied research, economics, workforce development, education outcomes, labor market analytics, social impact strategy, data science, or a related field • Deep expertise in rigorous impact methodology, including RCTs, quasi-experimental methods, causal inference, longitudinal studies, tracer studies, sampling, survey design, mixed-methods research, and evaluation design • Experience designing, managing, commissioning, or partnering on external evaluations with academic researchers, research organizations, foundations, multilaterals, or independent evaluators • Strong understanding of education-to-employment, workforce development, economic mobility, youth employment, entrepreneurship, income lift, household outcomes, or labor market transitions • Strong data fluency, including comfort working with dashboards, data pipelines, data warehouses, CRM systems, survey platforms, product analytics, and data quality processes • Ability to translate complex research and methodology into clear, credible materials for donors, boards, executives, governments, employers, and public audiences • Experience working cross-functionally with product, data, engineering, operations, learning, fundraising, communications, and senior leadership teams • Strong written communication skills, with the ability to produce methodology notes, donor briefs, board materials, impact reports, white papers, and thought leadership • Excellent judgment on evidence quality, including when to use gold-standard evaluation methods, when to use faster pragmatic approaches, and how to communicate uncertainty or limitations • Proven ability to lead teams, build systems, manage ambiguity, and operate effectively in fast-moving, entrepreneurial environments • Strong ethical grounding around data privacy, consent, responsible AI, equity, transparency, and the risks of overclaiming impact • A bias toward action, paired with the discipline to build systems that are credible, auditable, and trusted.
• Professional development opportunities • Flexible work arrangements
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