Lead Product Operations Manager, Data

Daily Pay

Confirmed live today High trust
Hybrid

Quick summary

Work type
Hybrid
Location
New York, NYMinneapolis, MN
Salary
$136,000–$209,000 / yr
Employment
Full-time
Posted
6 days ago
Freshness
Confirmed live today

Market check

Salary context

Below market

How this pay compares to similar roles

Similar $195k
This role $172k
$124k $246k
below market most similar roles pay here above market

This role pays less than 75% of similar roles. Most pay $173,237–$216,912 — the blue band above. At the midpoint, this role pays about $172k versus about $195k for comparable roles.

Based on 240 similar postings.

Employer

About Daily Pay

DailyPay is an employee financial wellness platform that allows workers to access their earned wages before payday, helping employers improve retention and financial well-being for their employees. Industry: Financial Technology & Employee Benefits

Daily Pay currently has 10 open roles on FindRole.

Listed pay typically runs $136,000–$199,500 across 10 roles with salary data.

Most-posted roles

View all roles at Daily Pay

At a glance

TL;DR · Lead Product Operations Manager, Data

JOB TITLE: Lead Product Operations Manager (Data) The Lead Product Operations Manager (Data) is a senior individual contributor role within the R&D organization, supporting the Data squad. This position focuses on driving operational excellence by managing initiatives to scale machine learning models and supporting agentic, predictive, conversational, and assistive AI-powered features across multiple vertical squads. The role involves improving tooling and best practices for A/B experimentation while collaborating with Finance and Data Analytics teams to align on critical KPIs. Key responsibilities include identifying lifecycle friction, streamlining workflows, and maintaining process hygiene. The successful candidate will use data acumen to create accurate dashboards, monitor performance trends, and manage the product tech stack. Required skills include root-cause analysis, project methodology knowledge, and the ability to translate metrics into actionable insights.

What you'll do

  • Manage initiatives to scale machine learning models and AI-powered features across multiple vertical squads.
  • Improve tooling and best practices for A/B experimentation across various product functions.
  • Identify and resolve friction points in the product lifecycle from discovery through launch.
  • Streamline operational workflows and process hygiene to ensure consistent delivery velocity.
  • Monitor KPIs and OKRs to provide data-driven insights for squad performance and operational decisions.
  • Partner with Finance and Data Analytics teams to maintain accurate dashboards and clean data.
  • Manage the product tech stack and roadmapping tools to ensure they are optimized for team use.
  • Assist in the quarterly planning process to align team efforts with broader business strategies.

What we're looking for

  • 6–10 years of experience in product operations, business operations, or program management.
  • Proven success supporting large complex cross-functional groups in a Product Operations or Program Management role.
  • Strong proficiency in conducting root-cause analysis, first-principles thinking, and proactive risk mitigation.
  • Proven ability to present information clearly and effectively to diverse audiences and cross-functional stakeholders.
  • Ability to work with teams to determine KPIs and partner with data analysts to ensure appropriate dashboards for performance monitoring.
  • Familiarity with implementing various project methodologies and financial principles related to project/product delivery.
  • Strong attention to detail and the ability to manage multiple projects simultaneously.

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