• Design and implement data pipelines, migrate legacy ETL workloads, and build scalable reporting and analytics solutions on the Microsoft data platform • Write complex, high-performance T-SQL and SQL queries for data transformation, reporting layers, and stored procedures • Migrate legacy SSIS packages to modern Microsoft Fabric equivalents, ensuring data integrity, performance, and maintainability throughout the process • Design, develop, and optimize ETL/ELT pipelines using Microsoft Fabric (Data Factory, Dataflows Gen2, Lakehouse, Warehouses) and Azure Data Services • Build, maintain, and optimize Power BI reports and dashboards, including semantic model design, DAX measures, and data modeling best practices • Collaborate with client stakeholders to gather requirements, document data flows, and translate business needs into scalable technical solutions • Develop and manage data models (star schema, snowflake) within Azure Synapse Analytics, Fabric Warehouses, or SQL Server environments • Monitor, troubleshoot, and tune pipeline performance, data quality, and query execution across production and development environments • Participate in architecture discussions and contribute to solution design decisions for new client engagements • Document technical designs, pipeline logic, and data definitions clearly for both technical and non-technical audiences

SentiLink provides innovative identity and risk solutions, empowering institutions and individuals to transaction with confidence. We’re building the future of identity verification in the United States replacing a clunky, ineffective, and expensive status quo with solutions that are 10x faster, smarter, and more accurate. We’ve seen tremendous traction and are growing extremely quickly. Our real-time APIs have helped verify hundreds of millions of identities, starting with financial services and rapidly expanding into new markets. SentiLink is backed by world-class investors including Craft Ventures, Andreessen Horowitz, NYCA, and Max Levchin. We’ve earned recognition from TechCrunch, CNBC, Bloomberg, Forbes, Business Insider, PYMNTS, American Banker, LendIt, and have been named to the Forbes Fintech 50. We have also been named a 2026 FICO Industry Vanguard Decision Award Winner. Last but not least, we’ve even made history - we were the first company to go live with the eCBSV and testified before the United States House of Representatives on the future of identity. SentiLink supports a variety of ways to work, ranging from fully remote to in-office. We operate as a digital-first company with strong collaboration across the U.S. and India. We maintain physical offices in Austin, San Francisco, New York City, Seattle, Los Angeles, and Chicago in the U.S., and in Gurugram (Delhi) and Bengaluru in India. If you’re located near one of these offices, we would love for you to spend time in the office regularly. Some roles are hybrid or in-office by design. For example, our engineering team in India works primarily from our Gurugram office. Role: The Head of Fraud Intelligence is responsible for transforming SentiLink's Fraud Intelligence Team (FIT) into a high-impact fraud intelligence function. This leader will oversee the evolution of FIT's operating model, ensuring the team delivers high-quality fraud labeling, generates actionable fraud intelligence, develops future technical talent, and creates measurable business impact through fraud prevention initiatives. This role requires a unique combination of operational rigor, fraud curiosity, analytical thinking, innovation, and talent development. The successful candidate will raise performance standards, implement best-in-class, scalable operational processes, and strengthen cross-functional partnerships to ensure FIT serves as an efficient operational machine, a trusted source of fraud expertise, and a pipeline for future leaders across the organization. Success will be measured by improvements in operational performance, development of high-potential internal talent, increased fraud prevention impact, and FIT's growing influence across Product, R&D, Analytics, GTM, and other business functions. This is a remote, US-based role. Responsibilities: - Establish clear performance baselines and operational metrics for FIT, including labeling volume, quality, turnaround time, cost efficiency, SLA adherence, and downstream business impact. - Design and implement scalable quality assurance processes, including sampling methodologies, review frameworks, feedback mechanisms, and escalation procedures to continuously improve labeling accuracy and consistency. - Reimagine FIT's operating model, workflows, tooling, and team structure to improve efficiency, scalability, and business outcomes. - Build a best-in-class entry-level talent program by defining hiring profiles, onboarding experiences, training programs, and career development pathways for Fraud Intelligence Analysts. - Create a repeatable progression framework that enables FIT team members to develop technical, analytical, and fraud expertise while preparing them for advancement and internal mobility opportunities. - Develop credible measurement frameworks that connect FIT activities to measurable fraud prevention outcomes, including model improvements, fraud detection enhancements, typology development, and customer impact. - Launch and scale initiatives that transform frontline fraud observations into actionable insights for Product, R&D, Analytics, GTM, and customer-facing teams. - Serve as a trusted fraud subject matter expert and strategic partner across the company, building strong relationships with stakeholders and ensuring FIT's insights influence key business decisions. - Establish recurring reporting, fraud trend analysis, and knowledge-sharing programs that elevate fraud awareness and expertise throughout the organization. - Leverage AI, automation, and process optimization opportunities to increase team productivity, improve quality, and enable FIT to focus on higher-value fraud intelligence work. Requirements: - 8+ years of experience in fraud operations, fraud intelligence, risk management, trust & safety, investigations, analytics, or a related domain, including significant people leadership experience - 4+ years of management experience overseeing a team of Fraud Analysts - Demonstrated success leading operational teams responsible for high-volume, quality-sensitive workflows and measurable business outcomes. - Strong fraud judgment with a deep interest in understanding evolving fraud patterns, typologies, and prevention strategies. - Proven ability to design and improve processes, operating models, quality systems, and performance measurement frameworks. - Experience developing and coaching early-career talent, building high-performing teams, and creating internal mobility pathways. - Strong analytical skills with the ability to use data to identify opportunities, measure outcomes, and drive decision-making. - Technical fluency and comfort working closely with product, analytics, engineering, machine learning, and data science teams. - Experience leveraging AI, automation, workflow tooling, or operational technologies to improve productivity and quality. - Exceptional written and verbal communication skills, with the ability to influence stakeholders across technical and non-technical audiences. - Demonstrated ability to lead cross-functional initiatives and align diverse stakeholders around shared goals. - Strong ownership mindset with a track record of driving change, executing against ambitious goals, and holding teams accountable to high standards. - Ability to balance strategic thinking with hands-on execution in a fast-paced, high-growth environment. - Curiosity, first-principles thinking, and a continuous improvement mindset focused on learning, experimentation, and long-term impact. Compensation: - $180,000-$240,000/year + equity + benefits Perks: - Employer paid group health insurance for you and your dependents - 401(k) plan with employer match (or equivalent for non US-based roles) - Flexible paid time off - Regular company-wide in-person events - Home office stipend, and more! Corporate Values: - Follow Through - Deep Understanding - Whatever It Takes - Do Something Smart

Role Description Atuar no suporte às áreas de negócio por meio da consolidação, análise e disponibilização de informações estratégicas, contribuindo para a tomada de decisão baseada em dados. Será responsável pela elaboração de relatórios, dashboards, controle de indicadores, padronização de informações e apoio aos processos operacionais e administrativos, garantindo qualidade, organização e confiabilidade dos dados. - Desenvolver, atualizar e manter dashboards, relatórios e indicadores utilizando Power BI e outras ferramentas de Business Intelligence. - Realizar consultas e extrações de dados em bancos de dados para consolidação de informações gerenciais. - Apoiar processos de ETL/ELT, garantindo a integridade e consistência dos dados. - Consolidar informações operacionais e gerenciais, mantendo trackers, controles e relatórios atualizados. - Monitorar indicadores de desempenho (KPIs), identificando desvios e oportunidades de melhoria. - Apoiar a criação, revisão e padronização de procedimentos, fluxos e documentações de processos. - Atuar como ponto de apoio entre áreas operacionais, stakeholders e equipes técnicas, facilitando a comunicação e alinhamento das demandas. - Acompanhar prazos, entregas e atividades relacionadas aos projetos e operações da área. - Preparar apresentações executivas e materiais de apoio utilizando Excel e PowerPoint. - Organizar documentos, registros e informações corporativas de forma estruturada e acessível. - Participar da preparação e suporte de reuniões, workshops, treinamentos e eventos internos. - Identificar oportunidades de automação, otimização e melhoria contínua dos processos e relatórios existentes. - Garantir a qualidade, precisão e governança das informações utilizadas pela área. Qualifications - Graduação em andamento ou concluída em: - Engenharia (preferencialmente Produção, Química ou áreas correlatas); - Administração; - Sistemas de Informação; - Ciência de Dados; - Estatística; - Tecnologia da Informação ou áreas afins. Requirements - Conhecimento em Power BI para construção e manutenção de dashboards. - Conhecimento intermediário em Excel. - Conhecimento básico em SQL para consultas e extração de dados. - Familiaridade com bancos de dados relacionais. - Noções de modelagem de dados e processos ETL. - Conhecimento em PowerPoint para elaboração de apresentações executivas. - Inglês intermediário para leitura, interpretação de documentos e participação em reuniões. Benefits - Autonomia e autogerenciamento. - Organização e atenção aos detalhes. - Assiduidade e comprometimento com prazos e entregas. - Capacidade analítica e pensamento crítico. - Comunicação clara e objetiva. - Facilidade de relacionamento com diferentes áreas e stakeholders. - Proatividade na resolução de problemas. - Capacidade de trabalhar com múltiplas demandas simultaneamente. - Interesse em compreender os impactos dos dados e indicadores no negócio. - Perfil colaborativo e orientado à melhoria contínua. Differentials - Experiência prévia em ambientes industriais, agronegócio ou operações. - Certificações em Power BI ou ferramentas de Business Intelligence. - Conhecimento em Python para análise e automação de dados. - Experiência com ferramentas de ETL. - Conhecimento em plataformas de nuvem (Azure, AWS ou Google Cloud). - Noções de gestão de projetos e metodologias ágeis. - Conhecimento em storytelling com dados e construção de apresentações executivas. - Vivência em padronização de processos, elaboração de procedimentos e documentação corporativa. Area of Activity A posição atuará em projetos e operações voltados aos segmentos de Agronegócio e Indústria, apoiando a gestão de indicadores, governança de informações e tomada de decisão estratégica das áreas de negócio.

• Take ownership of data that isn't yet "analysis-ready," mapping out processes to understand the how and why behind the numbers before building a single chart. • Untangle the nuances of VCC interchange, ACH, and check processing costs to find hidden margins. • Prepare the "Story of the Business" for the C-suite and sub-department leaders to drive high-stakes decision-making. • Build and maintain PowerBI dashboards that track customer and vendor behaviors, identifying trends that signify churn risk or growth opportunities. • Develop data-driven forecasts for interchange revenue and operational savings to support quarterly business reviews. • Act as an internal consultant to identify high-value areas for resource allocation, such as shifting high-volume check spend to e-payments. • Perform rigorous self-audits and reconciliation to ensure that every figure presented to leadership is 100% accurate and defensible.