Senior Manager, Strategy Operations - Data & Analytics

New York, United StatesHybrid

Responsibilities

Own DNA's quarterly business review process end-to-end; structure, narrative, preparation, and facilitation
Lead planning processes that connect DNA's priorities to enterprise OKRs and cross-functional operating forums
Build and maintain the mechanisms that keep DNA's strategy visible, measurable, and connected to how the business operates
Ensure DNA's planning and review cadences are integrated with Finance, Product, Revenue, and Operations rhythms
Identify emerging opportunities in data, analytics, and AI that can create meaningful business value; synthesizing internal signals, market trends, and competitive context
Drive strategic programs that require sustained alignment across multiple functions and senior stakeholders
Lead ambiguous, high-impact initiatives that have no clear home - mobilizing teams toward outcomes and filling gaps that fall between existing ownership lines
Build enablement that elevates how DNA leaders communicate, engage with the business, and show up at enterprise altitude
Create frameworks and operating artifacts that scale DNA's ways of working across the organization How You Will Do Your Work
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.
The Data & Analytics team is Justworks' data and AI center of excellence - a connected set of functions spanning business intelligence, data science, data governance, analytics engineering, platform data/ML engineering and AI builders.
You think in systems - how strategy, planning, stakeholder relationships, and delivery mechanisms connect to produce organizational clarity - and you know how to make all of those things work together at scale.
You bring a genuine point of view grounded in data, analytics and AI fluency.
Strong data and analytics fluency, enough to pressure-test assumptions, evaluate AI and data investments, and engage credibly with technical leaders