Manager, Analytics Engineering

This is a Fully Remote Job About Our Client:The organization operates in the technology sector, focusing on enhancing the post-purchase experience for retailers and their customers. It addresses challenges in customer service, returns management, fulfillment, product and shipping protection, and fraud detection through an AI-driven platform. Serving over 1,000 merchants across various industries such as fashion, cosmetics, furniture, electronics, and auto parts, the company integrates advanced technology to improve customer satisfaction and business profitability. About the Opportunity:The MANAGER, ANALYTICS ENGINEERING leads the team responsible for the data platform that supports product protection, shipping protection, and warranty programs. This role ensures the reliability and consistency of data models used across actuarial, risk, fraud, product, finance, and revenue functions. The position involves hands-on leadership, overseeing platform operations, technical standards, and collaboration with multiple business units to maintain and advance the analytics infrastructure. Responsibilities:Manage and develop a remote team of analytics and data engineers, including hiring and performance management.Maintain the dbt repository as a shared platform, setting standards for testing, documentation, and continuous integration.Oversee the Snowflake data warehouse, data ingestion pipelines, and associated AWS Glue/CDK jobs.Develop and evolve core business domain models shared across various departments.Lead platform migrations and retire legacy components on a planned timeline.Build strong partnerships with internal stakeholders to align data models with business needs.Implement data quality measures including schema validation and monitoring.Manage platform operations including on-call duties, alerting, and incident management.Facilitate self-service analytics through documentation and BI access.Automate operational workflows to improve efficiency. Requirements:Minimum 2 years managing engineers in data or analytics engineering roles.Advanced skills in SQL and dimensional modeling with experience maintaining consistent business domain models.Extensive experience with dbt including repository ownership, version control, testing, and change management.Proficiency in Python and cloud data infrastructure, particularly AWS services such as Glue, Step Functions, Lambda, and CDK.Experience in reliability engineering including on-call, alerting, and incident response.Ability to translate business questions into data models and support analytic teams.Strong written communication skills for technical documentation and stakeholder engagement.Effective prioritization and decision-making abilities.Preferred: experience in actuarial, risk, fraud analytics, warranty or insurance programs, financial reporting, privacy compliance, BI administration, or AI-assisted engineering workflows. Pay Range and Compensation Package:The expected salary range is $165,000 to $195,000 per year. Benefits & Perks:Medical, dental, and vision insurance.401(k) plan with financial guidance.Competitive salary based on experience.Flexible paid time off policy. Equal Opportunity Statement: Our client is an equal opportunity employer. They celebrate diversity and are committed to creating an inclusive environment for all employees. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, or national origin. Note:TalentHop is a recruitment partner of this role. Please note that all employment decisions, including candidate assessment, interviews, hiring, compensation, and employment terms, are made exclusively by the hiring employer.