Analytics Engineering Manager

This position is posted by Jobgether on behalf of a partner company. We are currently looking for an Analytics Engineering Manager in United States.

This role leads a multidisciplinary analytics team responsible for building and scaling the next-generation data platform. You will define the technical direction for analytics, establish engineering standards, and ensure that metrics and data models are consistent, trusted, and production-ready. The position involves close collaboration with data engineering, product, and business stakeholders to translate strategic needs into durable, scalable analytics solutions. You will also mentor and grow a team of data professionals, balancing hands-on review of technical work with leadership and process improvement. The role is ideal for someone who enjoys shaping analytics architecture while multiplying impact through team development, process standardization, and cross-functional influence. This is a fully remote position within the U.S., offering the opportunity to drive mission-critical analytics initiatives.

Accountabilities

• Lead the Core Analytics team, scaling team size, defining roles, and fostering a culture of ownership, curiosity, and technical excellence
• Design, implement, and migrate to a next-generation analytics warehouse, including modeling patterns, semantic layers, and metric definitions
• Establish analytics engineering standards, data quality processes, validation practices, and governance frameworks
• Collaborate with cross-functional stakeholders to translate business and product requirements into scalable, trusted analytics solutions
• Build data models and semantic layer objects for both exploratory flexibility and production-grade rigor
• Support analytics infrastructure for multiple products and embedded client-facing analytics solutions
• Mentor and develop team members through structured reviews, growth planning, and skills gap management
  
  

Requirements

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• 3–5+ years of experience managing senior data professionals
• Hands-on background as a Data Analyst, Analytics Engineer, or Data Engineer
• Proven track record leading complex, cross-functional data initiatives
• Experience in startups or scaling mid-sized businesses
• Advanced SQL and dbt expertise; proficient in Python, Git, and BI/data visualization tools
• Strong communication and collaboration skills, able to navigate tradeoffs across correctness, latency, flexibility, and cost
• Nice-to-have: experience with healthcare data (clinical or billing)
  
  

Benefits

• Competitive base salary: $200,000–$220,000 USD
• Fully remote U.S. work environment with flexible work arrangements
• Comprehensive Medical, Dental & Vision coverage

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• Paid Parental Leave up to 12 weeks
• Unlimited PTO plus 10 holidays
• 401(k) with traditional and Roth options, including 4% employer match
• Minimal bureaucracy, fast-moving environment focused on impact
• Opportunity to work alongside mission-driven, highly skilled colleagues
  
  

Why Apply Through Jobgether?

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.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.