Senior Manager of Analytics Engineering

Betterment; New York (NY); On-site; USD 180,000 - 240,000; Full time

Job summary

Betterment is seeking a Senior Manager to lead Analytics Engineering, shaping the roadmap and building reliable data products across the analytics, finance, marketing, and business teams. You will grow a high-performing team and drive cross-functional collaboration to turn complex data into trusted capabilities.

This role blends strategic leadership with deep technical judgment, guiding architecture while empowering engineers to own delivery and outcomes, ensuring datasets are accurate,

Qualifications

• Experience leading a team of analytics engineers.
• Strong SQL, dbt, data modeling and data warehousing skills.
• Experience with Airflow, cloud data warehouses, and reverse-ETL.
• Ability to translate business problems into scalable data capabilities.

Responsibilities

• Set direction and roadmap for Analytics Engineering at scale.
• Lead, coach, and grow a team of analytics engineers; manage performance and career development.
• Partner with Analytics, Data Platform, Product Engineering, Finance, Marketing, CRM, and Revenue Ops to turn problems into data capabilities.
• Guide architecture decisions, data contracts, and data product delivery across the data stack.

Skills

SQL

ETL/ELT

dbt

Data modeling

Data warehousing

Airflow

Data quality

Documentation

Monitoring

Incident management

Leadership

Cross-functional comms

Tools

Airflow

Job description

• 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
• 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

Benefits

• Compensation & Ownership: Competitive, benchmarked salary. Equity for everyone, including new hire, performance, and refresher grants.
• Retirement: 401(k) match from day one, including Student loan matching. Zero management fees.
• Health & Wellbeing: Comprehensive medical, dental, and vision coverage. One Medical membership. Fertility and LGBTQIA+ transition support.
• Time Away: Flexible time off. Paid parental leave for all parents. Four-week sabbatical in year six.
• In-Office Culture & Flexibility: An in-person, collaborative culture, with no required office days during the summer and winter holidays.
• Growth & Development: Free Coaching for everyone and continuous development.
• Community & Care: Chef lunches, guest speakers, company gatherings, heritage celebrations, and seven Employee Resource Groups.
• Employee Support: Dedicated benefits advocate and EAP access.

Experience with Airflow, cloud data warehouses, and reverse-ETL and CRM integrations is preferred; experience with equivalent technologies is also valuableA willingness to bring curiosity, sound judgment, and a continuous-improvement mindset to a changing data and technology landscapeAn understanding of software engineering practices and workflows, including testing, version control, code review, deployment, monitoring, documentation, and incident managementExperience working across data, product, engineering, and business teams, and can translate between stakeholder needs and technical requirements3+ years of experience directly managing a team of 4 or more analytics / data engineersStrong expertise in SQL, ETL/ELT using dbt, data modeling, modern data warehousing, and the practices needed to deliver production-quality analytical data productsExperience making prioritization decisions across planned work, and urgent requests; communicating tradeoffs and keeping partners aligned8+ years of experience as an analytics and / or data engineerThe ability to set technical direction for analytics engineering and coach engineers to lead execution