Data & Analytics Operations Manager - AI & Systems

New York, United StatesHybrid

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Responsibilities

Own the standards and systems that make work management consistent across the Data & Analytics team - Jira hygiene, project tracking, delivery visibility - so that every team operates with the same rigor
Build the dashboards and reporting that give leaders visibility into overall system health and team throughput
Own operational workstreams within DNA-wide initiatives - standing up processes, managing dependencies, and tracking delivery
Build and maintain DNA's knowledge and context systems (Jira, Confluence, Slack) structured for both human and AI consumption
Own and/or help facilitate DNA's core team rituals - DNA All Hands, DNA Labs (learning & development), and Data Demos, ensuring they stay relevant, well-structured, and connected to what the team needs
Build and run onboarding and enablement infrastructure for new DNA team members
Scale what works - turn high-impact patterns into shared standards, playbooks, and templates
Design and build AI-powered workflows that eliminate repetitive operational work and free DNA teams to focus on higher-leverage work
Own DNA's operational tooling ecosystem - continuously optimize, standardize, and drive adoption across teams (Jira, Confluence, Slack workflows, AI tools)
Lead enablement and upskilling on ways of working within DNA
Influence and Leadership - fostering a community of knowledge-sharing, collaboration, mentorship, and forward-thinking across the organization.

At Justworks, you’ll enjoy a welcoming and casual environment, great benefits, wellness program offerings, company retreats, and the ability to interact with and learn from leaders in the startup community.
Technology, Data & AI About The Team
The Data & Analytics team is Justworks' data and AI center of excellence - a connected set of functions spanning business intelligence, data science, analytics engineering, data governance, platform data/ML engineering and AI builders.
You have genuine depth in data and AI and you understand how a diverse set of data teams work, and you bring that context into how you design the workflows, tooling, and practices that connect them.
AI is not a tool you use occasionally; it's how you approach operational problems by default.