Sr. Manager, Analytics Engineering

Betterment•New York, NY

1d•$180,000 - $210,000•Onsite

About The Position

Betterment’s Analytics Engineering team turns complex company data into reliable, well-modeled data products that support analytics, finance, marketing, and other business needs. The team works across the data lifecycle, from transforming and testing warehouse data to operating pipelines and enabling trusted data to flow into downstream systems. The Senior Manager sets the direction for this work and leads the people and operating model that make it reliable at company scale. The role grows a high-performing team of analytics engineers, shapes a roadmap that balances shared foundations with business needs, and ensures data products are accurate, understandable, observable, and useful. The manager partners with Analytics, Data Platform, Product Engineering, Finance, Marketing, CRM, and Revenue Operations to turn business problems into scalable data capabilities. The role combines strategic leadership with technical judgment. The manager stays close enough to architecture and implementation to guide important decisions while empowering the team to own execution and outcomes. The position is based out of Betterment’s NYC office. The stated New York City base salary range is $180,000–$210,000, with possible variable compensation through a company incentive bonus. Actual salaries may vary based on factors including location, experience, and performance.

Requirements

At least 8 years of experience as an analytics engineer and/or data engineer.
At least 3 years of direct management experience leading a team of 4 or more analytics/data engineers.
Ability to set technical direction for analytics engineering and coach engineers to lead execution.
Strong expertise in SQL, ETL/ELT using dbt, data modeling, modern data warehousing, and practices for delivering production-quality analytical data products.
Understanding of software engineering practices and workflows, including testing, version control, code review, deployment, monitoring, documentation, and incident management.
Experience working across data, product, engineering, and business teams, translating stakeholder needs into technical requirements and vice versa.
Experience prioritizing planned work and urgent requests, communicating tradeoffs, and keeping partners aligned.
Curiosity, sound judgment, and a continuous-improvement mindset in a changing data and technology landscape.

Nice To Haves

Experience with Airflow, cloud data warehouses, and reverse-ETL and CRM integrations; experience with equivalent technologies is also valuable.

Responsibilities

Set and communicate the Analytics Engineering vision, roadmap, and priorities, connecting data investments to business outcomes.
Lead, coach, and grow individual contributors; set clear expectations, support career development, and build a healthy, inclusive team culture.
Partner with Analytics and cross-functional leaders to identify trusted datasets and self-service capabilities that can improve workflows and reduce repeated work.
Work with Data Platform and Product Engineering to shape data contracts, upstream changes, warehouse models, and reliable pathways from source data to business-ready products.
Guide the design and evolution of dbt models, Airflow pipelines, data quality, documentation, monitoring, and deployment practices.
Balance roadmap delivery, incoming requests, operational support, and technical health; make tradeoffs visible and align stakeholders on sequencing and scope.

Benefits

Medical, dental, and vision coverage.
Life and AD&D insurance.
Short- and long-term disability coverage.
Infertility support and WPATH-aligned transgender health benefits.
Employee Assistance Program (EAP).
Transit benefits and FSA and HSA options.
Equity for all employees, including new-hire and refresher grants.
Flexible paid time off, paid parental leave, and a fully paid four-week sabbatical in the employee’s sixth year.
Company-paid professional coaching for all employees.
Day-one 401(k) match and matching on qualified student loan payments.
The position may be eligible for a company incentive bonus.