Manager, Analytics Engineering

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Manager, Analytics Engineering based in the United States. This role sits at the core of the organization’s data and AI strategy, leading the transformation of raw data into trusted, scalable, and AI-ready insights. You will manage and grow a high-performing team of Analytics Engineers while remaining hands-on in shaping the technical direction of the data platform. The position blends leadership and deep technical execution, with a strong focus on building a centralized semantic layer that serves as the company’s single source of truth. You will collaborate closely with cross-functional stakeholders across finance, risk, product, operations, and sales to translate complex business needs into robust data products. The environment is fast-paced, highly collaborative, and deeply data-driven, with a strong emphasis on quality, scalability, and innovation. Success in this role means enabling consistent, reliable, and AI-powered decision-making across the organization. Your work will directly influence how data is structured, consumed, and leveraged for both analytics and next-generation AI use cases. \n Accountabilities: Lead, coach, and develop a team of Lead and Senior Analytics Engineers, fostering a high-performance, high-trust engineering culture focused on growth and impact. Remain deeply hands-on by writing and reviewing SQL and dbt code, driving technical design, and ensuring high standards in testing, documentation, and data modeling. Own the roadmap for your team’s analytics engineering initiatives, balancing delivery speed, technical excellence, and long-term scalability. Drive the design and implementation of scalable data models, marts, and a centralized semantic layer that defines the company’s single source of truth. Establish and evolve metrics definitions and data governance standards to ensure consistent KPI usage across dashboards, models, and AI-driven systems. Translate ambiguous business requirements from senior stakeholders into clear, well-structured technical solutions with defined trade-offs. Champion data quality, observability, and reliability through testing frameworks, lineage tracking, and incident management practices. Optimize dbt and Snowflake-based architecture, including performance tuning, incremental modeling strategies, and CI/CD workflows. Partner with cross-functional leaders to deliver high-impact data products that support strategic decision-making across the business. Contribute to hiring, interviewing, and onboarding efforts to scale a world-class Analytics Engineering team. Requirements 7+ years of experience in Analytics Engineering, Data Engineering, or BI roles with strong expertise in SQL and dimensional modeling. 2+ years of experience managing senior-level individual contributors and leading engineering teams with a focus on performance and career development. Deep hands-on experience with dbt and cloud data warehouses (Snowflake strongly preferred), including modeling, testing, and orchestration best practices. Proven experience designing and scaling a semantic layer or metrics framework used across an organization. Strong track record of partnering with senior stakeholders across finance, risk, operations, and product to deliver impactful data solutions. Excellent communication skills with the ability to translate complex technical concepts for both technical and executive audiences. Strong ability to coach engineers, set technical standards, and consistently raise the bar for data quality and engineering excellence. Experience working in fast-paced, data-driven environments with multiple competing priorities. Strong product and business acumen with the ability to connect data architecture to business outcomes. Familiarity with BI tools such as Tableau, Looker, or similar platforms is a plus. Experience with Python or real-time data pipelines is a bonus. Background in fintech, lending, or regulated industries is advantageous but not required. Benefits Competitive annual salary ranging from $170,000 to $200,000 USD 12% annual performance bonus Comprehensive medical, dental, and vision insurance coverage Remote-first work environment with flexibility across the United States Flexible PTO policy and paid parental leave 401(k) retirement plan with employer matching Annual professional development and learning budget Wellness reimbursement and charitable donation matching programs Commuter benefits (where applicable) Collaborative, data-driven culture focused on impact and continuous improvement. \n How Jobgether works: We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team. We appreciate your interest and wish you the best! Why Apply Through Jobgether? Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.

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