Senior Manager, Analytics Engineering

United States Digital Space LLC; Boston (MA); On-site; USD 210,000 - 245,000; Full time

Benefits offered by this job

Equity

Benefits

Job summary

United States Digital Space LLC is seeking a Senior Manager, Analytics Platform to lead and scale our Analytics Platform team. You will own the analytics tooling stack, build reliable data foundations, and enable data-driven decisions across the organization.

You will bridge Analytics and Data Platform Engineering, guide semantic modeling and AI-ready data infrastructure, hire and mentor a high-performing team, and drive adoption of modern data practices.

Qualifications

• 7+ years in analytics engineering, data engineering, or related field with people management.
• Deep expertise in SQL, dbt, Snowflake; strong dimensional modeling knowledge.
• Experience building and leading data teams, hiring and mentoring.

Responsibilities

• Own the Analytics data model end-to-end with stakeholders to serve as single source of truth.
• Hire, manage, coach, and develop a high-performing Analytics Engineering team.
• Coordinate between Analytics and Data Platform Engineering on architecture and contracts.
• Own and evolve the semantic layer for consistent metrics across tools.
• Define coding standards, CI/CD, data quality monitoring and documentation.
• Lead cross-team data initiatives from scoping to execution.
• Evaluate new technologies including AI-assisted data tooling.
• Collaborate with leadership to shape data strategy and roadmap.

Skills

SQL

dbt

Snowflake

Dimensional modeling

Analytics engineering

Data stack tooling

Python

Git

Communication with leadership

Tools

dbt

Snowflake

Sigma

Git

Python

Job description

At the company, we're on a mission to unlock human performance and healthspan. the company empowers members to perform at a higher level through a deeper understanding of their bodies and daily lives.

We are looking for a Senior Manager, Analytics Platform to lead and scale our Analytics Platform team. In this role, you will own the company's analytics tooling stack — building a strong foundation of reliable, well-modeled data that powers decisions across the organization. You will serve as the connective tissue between our Analytics and Data Platform Engineering teams, ensuring alignment on architecture, tooling, and data availability. As a leader, you will hire and develop a high-performing team while staying close to the technical work and driving adoption of modern data practices including semantic modeling and AI-ready data infrastructure.

RESPONSIBILITIES:

• Own the the company Analytics data model end-to-end, partnering with analysts and business stakeholders to ensure data is modeled to answer key business questions and serve as a single source of truth.
• Hire, manage, coach, and develop a team of Analytics Engineers, driving high performance, career growth, and a culture of technical excellence.
• Serve as the primary conduit between Analytics and Data Platform Engineering, aligning on shared infrastructure, data contracts, and pipeline architecture.
• Own and evolve the company's semantic layer, ensuring consistency and accuracy of key metrics across all downstream tools and consumers.
• Define and enforce coding standards, documentation practices, and development processes (CI/CD, code reviews, testing requirements, data quality monitoring).
• Lead strategic data initiatives spanning multiple teams and business outcomes, from scoping through execution.
• Maintain strong knowledge of industry trends and tooling developments; evaluate and introduce technologies that improve team leverage — including AI-assisted development and data tooling.
• Partner with Analytics leadership and cross-functional teams to build and evolve the data strategy at the company.
• Interface with senior leadership to design, plan, and communicate data strategy and roadmap.

QUALIFICATIONS:

• 7+ years of experience in analytics engineering, data engineering, or a related field, with at least 2 years of people management experience.
• Deep expertise in SQL, dbt, and Snowflake; strong understanding of dimensional modeling and data warehouse design patterns.
• Experience building and leading high-performing data teams, including hiring, mentoring, and setting technical direction.
• Hands-on proficiency with modern data stack tooling (dbt, Snowflake, Sigma or similar BI tools, Git, Python).
• Demonstrated ability to bridge technical and business stakeholders — translating business requirements into data architecture decisions and communicating trade-offs clearly.
• Track record of owning and delivering large-scale data initiatives with measurable business outcomes.
• Excellent communication and stakeholder management skills, particularly in interfacing with senior leadership.

NICE TO HAVE:

• Experience implementing or managing a semantic layer (e.g., Snowflake Semantic Views, dbt Semantic Layer, etc.).
• Familiarity with AI/ML data readiness, including building data foundations that support analytics automation and LLM-powered tooling.
• Experience in subscription/DTC commerce, health/wellness, or consumer hardware.
• Background in data governance, data contracts, or metrics layer standardization.

The company is an Equal Opportunity Employer and participates in E-verify to determine employment eligibility. It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.

The the company compensation philosophy is designed to attract, motivate, and retain exceptional talent by offering competitive base salaries, meaningful equity, and consistent pay practices that reflect our mission and core values.

At the company, we view total compensation as the combination of base salary, equity, and benefits, with equity serving as a key differentiator that aligns our employees with the long-term success of the company and allows every member of our corporate team to own part of the company and share in the company’s long-term growth and success.

The U.S. base salary range for this full-time position is $210,000 - $245,000. Salary ranges are determined by role, level, and location. Within each range, individual pay is based on factors such as job-related skills, experience, performance, and relevant education or training.

In addition to the base salary, the successful candidate will also receive benefits and a generous equity package.

These ranges may be modified in the future to reflect evolving market conditions and organizational needs. While most offers will typically fall toward the starting point of the range, total compensation will depend on the candidate’s specific qualifications, expertise, and alignment with the role’s requirements.