Job description

About the Role Betterment’s Analytics Engineering team turns complex company data into reliable, well-modeled data products that support analytics, finance, marketing and other business needs across Betterment. 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. As Senior Manager, you will set the direction for this work and lead the people and operating model that make it reliable at company scale. You will grow a high-performing team of analytics engineers, shape a roadmap that balances shared foundations with business needs, and ensure our data products are accurate, understandable, observable, and useful. You will partner closely with Analytics, Data Platform, Product Engineering, Finance, Marketing, CRM, and Revenue Operations to turn business problems into scalable data capabilities. This role combines strategic leadership with technical judgment. You will stay close enough to the architecture and work to guide important decisions, while empowering your team to own implementation and outcomes. You will help Betterment build trusted data foundations for both decision-making and operational workflows. This role is based out of our NYC office. Below we've reflected the base salary range for this position. Actual salaries may vary depending on factors including but not limited to location, experience, and performance. The range listed is just one component of Betterment’s total compensation package for employees. New York City: $180,000-$210,000 This job may also be eligible for variable compensation in the form of a company incentive bonus. A Day in the Life 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 understand where trusted datasets, and self-service capabilities 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. What We’re Looking For 8+ years of experience as an analytics and / or data engineer 3+ years of experience directly managing a team of 4 or more analytics / data engineers The 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 the practices needed to deliver production-quality analytical data products. An 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, and can translate between stakeholder needs and technical requirements. Experience making prioritization decisions across planned work, and urgent requests; communicating tradeoffs and keeping partners aligned. A willingness to bring curiosity, sound judgment, and a continuous-improvement mindset to a changing data and technology landscape. Experience with Airflow, cloud data warehouses, and reverse-ETL and CRM integrations is preferred; experience with equivalent technologies is also valuable. Join a team built on these core values We change lives Be a part of a community of innovators working to transform financial outcomes for real people. Your work will make an impact, always laddering up to our mission; to empower people to build wealth with confidence and ease . We set audacious goals We set them for the company, our customers, and ourselves, and we won’t stop until we reach them. We don’t just show up; we give our all, then celebrate our wins. We value all perspectives When we collaborate, we're at our best. We believe diverse perspectives lead to better outcomes and strive to uphold our supportive and inclusive community. We simplify financial services We’re financial services pioneers, always finding new ways to improve, optimize, and enhance. Constant improvement is in our DNA. Our Commitment to Your Total Well-being: We offer a competitive suite of benefits , including medical, dental, and vision coverage; life and AD&D insurance; short- and long-term disability; infertility support and WPATH-aligned transgender health benefits; an Employee Assistance Program (EAP); transit benefits and FSA and HSA options Ownership: Equity for all employees, including new hire and refresher grants. Time: Flexible paid time off, paid parental leave, and a fully paid four-week sabbatical in your sixth year. Growth: Company-paid professional coaching for all employees. Wealth: Day-one 401(k) match plus matching on qualified student loan payments. What happens next We’ll take a few weeks to review all applications. If we’d like to spend more time with you, we’ll reach out to arrange next steps, which will include 3-4 sets of meetings with your future colleagues. In the interview process, we’ll look to learn more about your skills, experiences, capabilities, and motivators. Many of our questions will be aimed at understanding how you might operate here at Betterment. Depending on the role, we may ask you to complete a case study exercise or technical assessments, as we want to collect a robust set of data points to better inform our decisions. On average, it takes us around 3-5 weeks to make a hiring decision, depending on your availability and sense of urgency. As a best practice, we aim to interview at least 2-3 final round candidates before making a hiring decision. Please note that, as we usually receive an overwhelming number of applications for open positions, we’re unable to offer individual feedback during the interview process. We recognize that interviewing for a new role is a big deal. We appreciate you considering Betterment as the next step in your career, and our Recruiting Team is here to support and advocate for you through the interview process! Betterment is dedicated to providing accommodations to candidates upon request. If you need accommodations at any point throughout the interview process, please reach out to your recruiter. Please note that in any materials you submit, you may redact or remove age-identifying information such as age, date of birth, or dates of school attendance or graduation. You will not be penalized for redacting or removing this information. Come join us! We’re an equal opportunity employer and comply with all applicable federal, state, and local fair employment practices laws. We strictly prohibit and do not tolerate discrimination against employees, applicants, or any other covered persons because of race, color, religion, creed, national origin or ancestry, ethnicity, sex, gender (including gender nonconformity and status as a transgender or transsexual individual), sexual orientation, marital status, age, physical or mental disability, citizenship, past, current or prospective service in the uniformed services, predisposing genetic characteristic, domestic violence victim status, arrest records, or any other characteristic protected under applicable federal, state or local law.

Requirements

Must-haves

New York City: $180,000-$210,000
A Day in the Life
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 understand where trusted datasets, and self-service capabilities 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.
What We’re Looking For
8+ years of experience as an analytics and / or data engineer
3+ years of experience directly managing a team of 4 or more analytics / data engineers
The 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 the practices needed to deliver production-quality analytical data products.
An 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, and can translate between stakeholder needs and technical requirements.
Experience making prioritization decisions across planned work, and urgent requests; communicating tradeoffs and keeping partners aligned.
A willingness to bring curiosity, sound judgment, and a continuous-improvement mindset to a changing data and technology landscape.
Join a team built on these core values
We change lives
We set audacious goals
We set them for the company, our customers, and ourselves, and we won’t stop until we reach them. We don’t just show up; we give our all, then celebrate our wins.
We value all perspectives

Nice-to-haves

This job may also be eligible for variable compensation in the form of a company incentive bonus.
Experience with Airflow, cloud data warehouses, and reverse-ETL and CRM integrations is preferred; experience with equivalent technologies is also valuable.

Application prep

Use the role’s language and application details while tailoring your materials.

Keywords to mirror

sql

Platform: greenhouse
Effort: quick

Benefits

Benefits detected in the listing.

Dental

Vision

401(K)

Paid Time Off

Parental Leave