Analytics Engineering Manager

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for an Analytics Engineering Manager based in United States. This role offers the opportunity to lead a high-performing analytics engineering team within a fast-moving fintech environment. You will turn complex, raw data into trusted models, pipelines, and insights that shape strategic business decisions. Your work will influence product, marketing, growth, and operational priorities across a rapidly scaling financial platform. You will combine technical leadership with people management, helping engineers grow while establishing strong data practices. The role requires close partnership with Product, Engineering, Growth, and Operations to deliver scalable, reliable data solutions. You will also help shape the organization’s analytics infrastructure, governance, quality standards, and delivery priorities. This is an ideal opportunity for a hands-on data leader who thrives on ownership, urgency, and measurable business impact. Lead, mentor, and develop a high-performing team of analytics engineers, fostering technical excellence, accountability, collaboration, and continuous growth. Own the delivery of robust data pipelines, analytical models, and reporting solutions that turn raw data into reliable, actionable insights. Partner closely with Product, Engineering, Growth, Marketing, and Operations teams to understand business needs and deliver scalable data solutions. Establish and champion data modeling, testing, documentation, governance, and quality standards across the organization. Drive the design, architecture, optimization, reliability, and scalability of the analytics and data transformation infrastructure. Use advanced SQL, Databricks, dbt, and modern cloud data practices to support efficient and maintainable analytics workflows. Prioritize analytics projects and manage delivery across multiple initiatives, balancing business impact, technical requirements, resources, and timelines. Communicate project progress, priorities, risks, and outcomes clearly to technical and non-technical stakeholders. Identify opportunities to improve data accessibility, reliability, and usability across the organization. Contribute to a culture of proactive execution, experimentation, and continuous improvement in a high-growth environment. Requirements 7+ years of professional experience in data engineering, analytics engineering, business intelligence, or a closely related field. At least 2+ years of experience in technical leadership or people management, with a demonstrated ability to build and develop high-performing technical teams. Advanced proficiency in SQL, Databricks, and dbt. Strong experience architecting, developing, and scaling data transformation pipelines within modern cloud environments. Deep understanding of analytics engineering best practices, including data modeling, testing, documentation, governance, and data quality. Proven ability to collaborate effectively with Product, Engineering, Marketing, Growth, and Operations stakeholders to deliver measurable business outcomes. Strong technical judgment and the ability to balance long-term architecture with immediate business priorities. Excellent communication and stakeholder management skills, with the ability to translate complex data concepts into clear recommendations and decisions. Highly proactive, execution-oriented mindset with a strong sense of ownership and urgency. Comfortable working in a fast-paced, rapidly changing environment where priorities can evolve quickly. Familiarity with modern software engineering practices, cloud infrastructure, microservices, or technologies such as AWS, Kubernetes, TypeScript, Node.js, or React Native is beneficial but not required. Experience working with AI-assisted development tools or workflows is a plus. Benefits Competitive compensation: Competitive base salary combined with stock options. Health cove