Pay
Lower than most similar jobs
$135K–$159K against $154K–$225K, the middle half of what similar US postings state.
From 2,958 postings in the last year. Stated ranges, not salaries paid.
Operations Data Manager
US - Remote
Live, first seen by us 21 days ago- Pay
$135,044–158,875/year · BaseAnnual period assumed — pay source
Compensation: At Fetch, we offer competitive compensation packages including base, equity, and benefits to the exceptional folks we hire. The base salary range for this position is $135,044 to $158,875. Discover our benefits and how our employees live rewarded at https://fetch.com/careers. Applicants must be currently authorized to work in the United States on a full-time basis without the need for current or future employer sponsorship.
Read the full posting- Work setting
Remote — work setting source
- Employment
Employment terms need review — employment source
This is more than a people-management role, it is an opportunity to shape how Operations uses data. You will set the team’s operating model, lead and develop a team of Operations Data Analysts, and build the standards and partnerships that make operational analytics a trusted input into decisions. Success is measured by the decisions your team influences, the operational friction your team helps eliminate, and the measurable business outcomes your work supports. This is a full-time role that can be held from one of our US offices or remotely in the United States. Role Responsibilities:
Employment type in the employer’s posting: FULL_TIME
From the employer’s posting
Before you apply
- Work authorization
- Must already have the right to work in the US
Applicants must be currently authorized to work in the United States on a full-time basis without the need for current or future employer sponsorship
What you’ll work on
Full postingOperations teams sit on some of the richest data in the company.
The Operations Data Manager leads the team that turns operational data into insight and action.
Set the analytics team's operating model for intake, prioritization and delivery
Hire, coach and develop a team of Operations Data Analysts
Define KPIs and build trusted dashboards in Hex, Tableau and Grafana
Partner with Operations leaders on data needs and staffing or capacity insights
Evaluate whether process changes delivered their intended results
From the employer’s posting
Operations teams sit on some of the richest data in the company. Every fraud decision, support interaction, partner implementation, and receipt review generates signals about how Fetch is performing and where users and internal teams run into friction. The challenge isn’t collecting that data, it’s making sure it consistently shapes operational decisions.
The Operations Data Manager leads the team that turns operational data into insight and action. Reporting to the SVP of Operations, this role leads Fetch’s centralized Operations Analytics team, partnering with leaders across Ad Operations, AI Operations, Platform Integrity, and User Support to define KPIs, build trusted reporting, and surface the trends and anomalies that drive strategy, prioritization, and process improvement.
Establish and evolve the team’s operating model, including intake, prioritization, and delivery rhythms across the core teams.
Hire, onboard, coach, and develop a team of Operations Data Analysts.
Oversee dashboards and reporting in Hex, Tableau and Grafana, promoting self-service, consistent metric definitions, and early detection of anomalies.
Provide insights that inform operational strategy, process improvements, staffing and capacity planning, and day-to-day decision-making.
Evaluate whether process changes and initiatives delivered their intended results, and close the loop to improve future decisions.
What you’ll bring
All qualificationsCore experience
- 3+ years of experience in Data Analytics, Business Intelligence, Operations Analytics, Strategy, Consulting, or a related field.
- 1+ years of experience leading, coaching, and developing analysts or other high-performing teams.
- Strong SQL skills, with the ability to extract, manipulate, and understand large datasets across multiple domains and to review and guide the work of others.
- Experience with Snowflake and familiarity with cloud-based data warehousing solutions.
- Proven ability to synthesize ambiguous or unstructured data with business context to drive strategic recommendations.
- Strong communication, facilitation, and stakeholder management skills with senior stakeholders, including defining KPIs and reporting solutions.
Preferred experience
- Experience in consumer technology, fintech, marketplace, or high-growth digital businesses.
- Experience leading analytics for fraud, customer support, or other operational functions.
- Experience creating automated data tables using dbt and Airflow, and building data pipelines and ETL processes.
- Experience using Python to generate insights.
Qualification wording
3+ years of experience in Data Analytics, Business Intelligence, Operations Analytics, Strategy, Consulting, or a related field.
1+ years of experience leading, coaching, and developing analysts or other high-performing teams.
Strong SQL skills, with the ability to extract, manipulate, and understand large datasets across multiple domains and to review and guide the work of others.
Experience with Snowflake and familiarity with cloud-based data warehousing solutions.
Proven ability to synthesize ambiguous or unstructured data with business context to drive strategic recommendations.
Strong communication, facilitation, and stakeholder management skills with senior stakeholders, including defining KPIs and reporting solutions.
Experience in consumer technology, fintech, marketplace, or high-growth digital businesses.
Experience leading analytics for fraud, customer support, or other operational functions.
Experience creating automated data tables using dbt and Airflow, and building data pipelines and ETL processes.
Experience using Python to generate insights.
Posting record
Report an error- Status in our records
- Live
- First seen by us
- Oct 14, 202621 days ago
- Recorded sightings
- 35
- Last seen by us
- Nov 4, 2026
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
How this job compares
Time since we first saw it
Day 21
Similar jobs usually come down between day 7 and day 53.
From 7,804 similar postings that came down. Coming down is not always a hire.
Fetch is hiring
29 open jobs
Open jobs by the week we first saw them, last 12 weeks.
- Hiring is picking up
- Takes jobs down at a usual pace
See how this role fits your experience
Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.
- Python
- SQL
- dbt
- Grafana
- Snowflake
- Tableau
- Airflow
Where the posting names them
- Experience creating automated data tables using dbt and Airflow, and building data pipelines and ETL processes. - Experience using Python to generate insights. - Experience leveraging AI and automation to improve insight generation and operational effectiveness.
- Create clear goals, quality standards, and development plans for each analyst. - Review the team’s SQL, analyses, and deliverables to ensure accuracy, clarity, and actionable recommendations. - Foster a culture of curiosity, analytical rigor, accountability, and continuous improvement.
- Demonstrated success building team capabilities, standards, or operating models from concept to execution. - Strong SQL skills, with the ability to extract, manipulate, and understand large datasets across multiple domains and to review and guide the work of others. - Experience with Snowflake and familiarity with cloud-based data warehousing solutions.
- Experience leading analytics for fraud, customer support, or other operational functions. - Experience creating automated data tables using dbt and Airflow, and building data pipelines and ETL processes. - Experience using Python to generate insights.
Ensure Trusted, Scalable Reporting - Oversee dashboards and reporting in Hex, Tableau and Grafana, promoting self-service, consistent metric definitions, and early detection of anomalies. - Work with engineering to ensure data quality and reliability, and to scope and prioritize automated data tables and pipelines.
- Experience with Snowflake and familiarity with cloud-based data warehousing solutions. - Experienced with HEX, Tableau or Grafana, with the ability to set standards for intuitive dashboards that communicate insights, enable self-service, and surface anomalies. - Proven ability to synthesize ambiguous or unstructured data with business context to drive strategic recommendations.
- Strong SQL skills, with the ability to extract, manipulate, and understand large datasets across multiple domains and to review and guide the work of others. - Experience with Snowflake and familiarity with cloud-based data warehousing solutions. - Experienced with HEX, Tableau or Grafana, with the ability to set standards for intuitive dashboards that communicate insights, enable self-service, and surface anomalies.
Your next step
Complete your application on jobs.gem.com. The employer’s form will show what is required.
Already applied? Track this application
About the role
We file this job under Data Leadership, by the work the posting describes.
Data leaders run data teams or design how a company's data fits together. Managers hire, set priorities and answer for whether the data work pays off; architects choose the systems and the shape of the data.
Expect years of hands-on data work, experience leading people or projects, and the ability to explain tradeoffs to executives.
Unlike a senior engineer or analyst, most of a data leader's week goes to people, planning and decisions rather than building.
US government figures for computer and information systems managers
- Median yearly pay, May 2025
- $175,140
- Expected change, 2025 to 2035
- 15.8% more jobsagainst 3.5% for all jobs
The government has no code for data leaders, so these figures are for the closest group, computer and information systems managers, which includes data processing and data operations managers.
Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 11-3021.
Job description
About the Role:
Operations teams sit on some of the richest data in the company. Every fraud decision, support interaction, partner implementation, and receipt review generates signals about how Fetch is performing and where users and internal teams run into friction. The challenge isn’t collecting that data, it’s making sure it consistently shapes operational decisions.
The Operations Data Manager leads the team that turns operational data into insight and action. Reporting to the SVP of Operations, this role leads Fetch’s centralized Operations Analytics team, partnering with leaders across Ad Operations, AI Operations, Platform Integrity, and User Support to define KPIs, build trusted reporting, and surface the trends and anomalies that drive strategy, prioritization, and process improvement.
This is more than a people-management role, it is an opportunity to shape how Operations uses data. You will set the team’s operating model, lead and develop a team of Operations Data Analysts, and build the standards and partnerships that make operational analytics a trusted input into decisions. Success is measured by the decisions your team influences, the operational friction your team helps eliminate, and the measurable business outcomes your work supports.
This is a full-time role that can be held from one of our US offices or remotely in the United States.
Role Responsibilities:
Lead the Operations Analytics Capability
- Establish and evolve the team’s operating model, including intake, prioritization, and delivery rhythms across the core teams.
- Define team standards for analysis quality, KPI definitions, dashboard design, documentation, and knowledge management.
- Own intake and prioritization of analytics requests, balancing ad-hoc needs with longer-term strategic work and setting clear expectations with stakeholders.
- Build repeatable mechanisms that turn operational data into prioritized recommendations supported by measurable business impact.
Lead & Develop a High-Performing Team
- Hire, onboard, coach, and develop a team of Operations Data Analysts.
- Create clear goals, quality standards, and development plans for each analyst.
- Review the team’s SQL, analyses, and deliverables to ensure accuracy, clarity, and actionable recommendations.
- Foster a culture of curiosity, analytical rigor, accountability, and continuous improvement.
Partner with Operational Leaders
- Partner closely with Operations leaders to understand data needs, define and track KPIs, and design reporting solutions.
- Provide insights that inform operational strategy, process improvements, staffing and capacity planning, and day-to-day decision-making.
- Communicate findings, trends, and recommendations to cross-functional and senior stakeholders through clear visuals and compelling narratives.
- Stay hands-on where needed, contributing to complex analyses and work with new or unstructured data sources.
Ensure Trusted, Scalable Reporting
- Oversee dashboards and reporting in Hex, Tableau and Grafana, promoting self-service, consistent metric definitions, and early detection of anomalies.
- Work with engineering to ensure data quality and reliability, and to scope and prioritize automated data tables and pipelines.
- Maintain documentation and team workflows in Confluence, Jira, and Bitbucket so work is repeatable, transparent, and easy to hand off.
Measure Operational Outcomes
- Define success metrics that connect operational improvements to business outcomes.
- Evaluate whether process changes and initiatives delivered their intended results, and close the loop to improve future decisions.
Minimum Requirements:
- 3+ years of experience in Data Analytics, Business Intelligence, Operations Analytics, Strategy, Consulting, or a related field.
- 1+ years of experience leading, coaching, and developing analysts or other high-performing teams.
- Demonstrated success building team capabilities, standards, or operating models from concept to execution.
- Strong SQL skills, with the ability to extract, manipulate, and understand large datasets across multiple domains and to review and guide the work of others.
- Experience with Snowflake and familiarity with cloud-based data warehousing solutions.
- Experienced with HEX, Tableau or Grafana, with the ability to set standards for intuitive dashboards that communicate insights, enable self-service, and surface anomalies.
- Proven ability to synthesize ambiguous or unstructured data with business context to drive strategic recommendations.
- Strong communication, facilitation, and stakeholder management skills with senior stakeholders, including defining KPIs and reporting solutions.
- Ability to prioritize and manage multiple competing projects and requests, for yourself and for a team.
- Knowledge of the Atlassian suite, including Bitbucket, Confluence, and Jira.
Preferred Requirements:
- Experience in consumer technology, fintech, marketplace, or high-growth digital businesses.
- Experience leading analytics for fraud, customer support, or other operational functions.
- Experience creating automated data tables using dbt and Airflow, and building data pipelines and ETL processes.
- Experience using Python to generate insights.
- Experience leveraging AI and automation to improve insight generation and operational effectiveness.
What Success Looks Like:
Within your first 12 months, you will:
- Establish Operations data as a trusted source of insight for AdOps, AIOps, Platform Integrity and User Support.
- Build a high-performing team with clear operating standards, quality bar, and scalable processes.
- Create a repeatable intake and prioritization model that balances ad-hoc requests with strategic work.
- Align stakeholders on consistent KPI definitions and trusted, self-service dashboards.
- Partner with data engineering to improve data reliability and automate recurring reporting.
- Influence operational decisions with evidence-based recommendations tied to measurable outcomes.
Compensation:
At Fetch, we offer competitive compensation packages including base, equity, and benefits to the exceptional folks we hire. The base salary range for this position is $135,044 to $158,875. Discover our benefits and how our employees live rewarded at https://fetch.com/careers.
Applicants must be currently authorized to work in the United States on a full-time basis without the need for current or future employer sponsorship.
Source details
Source notes
Source excerptsSelected passages from the saved posting. Check the full description for conditions and exceptions.
- Pay
Compensation: At Fetch, we offer competitive compensation packages including base, equity, and benefits to the exceptional folks we hire. The base salary range for this position is $135,044 to $158,875. Discover our benefits and how our employees live rewarded at https://fetch.com/careers. Applicants must be currently authorized to work in the United States on a full-time basis without the need for current or future employer sponsorship.
- Location & working pattern
US - Remote
Working pattern and location restrictions need checking in the full posting.
- Work authorization
At Fetch, we offer competitive compensation packages including base, equity, and benefits to the exceptional folks we hire. The base salary range for this position is $135,044 to $158,875. Discover our benefits and how our employees live rewarded at https://fetch.com/careers. Applicants must be currently authorized to work in the United States on a full-time basis without the need for current or future employer sponsorship.