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Senior Manager Data & Analytics

Xcede
York, NY Full Time
POSTED ON 12/9/2025 CLOSED ON 1/7/2026

What are the responsibilities and job description for the Senior Manager Data & Analytics position at Xcede?

About the Role

We are seeking a Senior Manager of Data & Analytics, Product to drive our product analytics strategy, own data-informed decision-making, and scale analytical capabilities across key product domains. In this role, you will lead the development of high-impact product insights, establish analytic frameworks, and define the metrics, experimentation practices, and data products that guide our product portfolio.


You will manage a small but growing team (starting with one analyst) while also delivering hands-on, high-quality analysis. You will role-model best-in-class product analytics through your own output, while coaching analysts and product managers to elevate our analytical rigor and scale your approach across the organization.


Key Responsibilities

  • Provide analytical leadership, partnering with senior leaders in product, engineering, and design to define success metrics, guide measurement strategy, and validate hypotheses through data.
  • Perform hands-on technical data work, building performance measurement systems, validating hypotheses, and enabling operations.
  • Design and maintain scalable data models, decision tools, and analytics infrastructure to empower self-serve analytics and derive insight.
  • Lead and develop a team of analysts (starting with one direct report) to deliver high impact insights by providing strategic direction and hands-on support.
  • Contribute to broader Data team strategy, project prioritization, and the continuous evolution of analytics best practices.


Requirements

  • 7 years in analytics, data science, or a related field within data. Experience in SaaS or marketplace products is a plus.
  • 2 years of experience in a people management role.
  • Strong technical acumen, with expertise in SQL and experience with modern data tools and workflows (e.g., dbt, Python, BigQuery, Omni, Hex, or equivalents).
  • Experience running experimentation and causal inference methods, including A/B testing design, execution, and analysis.
  • Entrepreneurial mindset and comfort working in an early- to mid-stage startup environment where ambiguity and pace are part of the fun.

Salary : $140,000 - $190,000

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