Department

Technology, Data & Analytics

The Data & Analytics team is Justworks' data and AI center of excellence - a connected set of functions spanning business intelligence, data science, analytics engineering, platform data/ML engineering and AI builders. We've grown significantly over the last several years and continue to build momentum across the business, leveling up maturity in how we deliver insights, govern data, and enable the company to make better decisions. You'll find a highly collaborative & diverse group motivated by craft, shared learning, and a genuine commitment to growing our impact for customers while evolving how we work together for our people. Come build with us!

The Analytics Engineering team sits at the center of how Justworks turns raw data into the foundation for trustworthy analysis and reporting across the company.

Who You Are

You are a data leader with a curious mindset, a passion for building, and an eye for optimization. You thrive when enabling the strategic and effective use of data within and outside of a data team. You are adept at understanding business challenges and framing them as enablement opportunities. You possess strong empathy, interpersonal skills, and attention to detail, enabling you to work effectively with your team and cross-functional partners. You can clearly translate complex data concepts into assets that enable data-informed strategy, and have a growing track record of guiding projects to successful outcomes.

We're seeking a Senior Manager of Analytics Engineering to lead our analytics engineering team, reporting directly to our Senior Director of Data & Analytics. You'll set the technical direction and roadmap for analytics engineering, grow and develop your team, and partner closely with Business Intelligence, Data Governance, and Data Platform Engineering leadership to make sure our data foundation scales with the business.

You'll stay close enough to the work to be a credible technical voice (reviewing designs, unblocking hard modeling problems) while representing analytics engineering in broader DNA and cross-functional planning and decision-making. This role requires a strong analytical and data modeling background, a deep understanding of the modern data stack, and a passion for mentoring and growing teams.

Your Success Profile

What You Will Work On

Data Modeling & Technical Direction

• Own the design, implementation, and maintenance of scalable data models and ELT pipelines, a star schema architecture, and reporting solutions that power business intelligence, reduce time to insights, and elevate our company-wide data literacy.
• Define the analytics engineering data strategy and roadmap, identifying opportunities and driving execution on projects leveraging data modeling, data warehouse architecture, and other analytics engineering best practices.
• Uphold and evolve best practices for data model development, testing, and documentation within your team to deliver iteratively and efficiently.
• Lead significant data architecture decisions — including data model design and implementation choices that affect teams beyond your own.

Team Leadership & Development

• Lead and develop a team of analytics engineers, fostering their professional growth through goal-setting, coaching, feedback, and recognition.
• Manage project priorities and timelines for your team, ensuring the timely delivery of rigorous, impactful solutions while upholding high standards for data quality and integrity.
• Recruit, hire, and scale the analytics engineering team as our data platform and organizational needs grow.

Cross-Functional Partnership & Delivery

• Collaborate with Data & Analytics leadership and cross-functional teams (Engineering, Operations, and business teams) to understand requirements and translate them into executable projects and data products.
• Partner with and influence upstream teams to raise the bar on data quality at the source, advocating for changes that prevent downstream data and reporting issues.
• Build relationships with cross-functional leads to promote the adoption of new methods, technologies, and self-service data tools that help the organization scale.
• Serve as the senior voice for analytics engineering in cross-functional and DNA leadership planning conversations, representing your team's capacity, priorities, and tradeoffs.

How You Will Do Your Work

As a Sr. Manager, Data Platform Engineering,, how results are achieved is paramount for your success and ultimately results in our success as an organization. In this role, your foundational knowledge, skills, abilities, and personal attributes are anchored in the following competencies:

• Plans & Aligns - Ensures individual actions support company mission; communicates effectively; understands urgency and plans accordingly
• Balances Stakeholders - Understands internal and external stakeholder requirements, expectations, and needs and acts fairly despite conflicting demands of stakeholders.
• Influence and Leadership - Fosters a community of knowledge-sharing, collaboration, mentorship, and forward-thinking across the organization.
• Manages Complexity - Making sense of complex, high quantity, and sometimes contradictory information to effectively solve problems.
• Good Judgment - Pauses before acting; asks questions to fully understand context; applies critical thinking and takes ownership of outcomes
• Teamwork & Communication - Honors diverse thoughts and opinions; leverages unique skills to maximize efficiency
• Skills and Knowledge - Demonstrates the capacity to actively learn and apply specific domain knowledge, know-how, and best practices to continually enhance and improve.

In addition, all Justworkers focus on aligning their behaviors to our core values known as COGIS. It stands for:

• Camaraderie - Day to day you can be seen working together toward a higher purpose. You like to have fun. You’re an active listener, treat people respectfully, and have a strong desire to know and help others.
• Openness - Your default is to be open. You're willing to share information, understand other perspectives, and consider new possibilities. You’re curious, ask open questions, and are receptive to thoughts and feedback from others.
• Grit - You demonstrate grit by having the courage to commit and persevere. You’re committed, earnest, and dive in to get the job done well with a positive attitude.
• Integrity - Simply put, do what you say and say what you'll do. You’re honest and forthright, have a strong moral compass, and strive to match your words with your actions while leading by example. 
• Simplicity - Be like Einstein: “Everything should be made as simple as possible, but no simpler.”

Qualifications

• 10+ years of experience in a data role such as analytics engineering, data engineering, or data warehousing, with hands-on experience designing and building scalable data models and ETL/ELT pipelines.
• 4+ years in people management, with a proven track record of developing and managing high-performing teams.
• Proficiency in SQL and Python.
• Deep expertise in data warehouse architecture, dimensional modeling (e.g., Kimball) and semantic modeling.
• Demonstrated experience with a modern data stack, preferably Snowflake, Airflow, and dbt.
• Strong analytical and problem-solving skills, with the ability to work with complex datasets to transform and model them for analytical use.
• Demonstrated ability to influence data quality standards in teams you don't manage — e.g., partnering with Engineering and Operations teams to drive upstream fixes, data contracts and monitoring at the source.
• Excellent oral & written communication skills and a strong ability to collaborate with both technical and non-technical stakeholders.
• Strong project management skills, with the ability to manage multiple initiatives, prioritize effectively, and meet deadlines.

The base wage range for this position based in our New York City office is targeted at $188,000.00 - $242,000.00 per year.

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