Operations Data Manager

Fetch is hiring an Operations Data Manager for a remote role open to applicants in United States. It pays $135k-$159k a year and Level rates it ; you can apply on Fetch.

Level's read on this job

Little AI ●○○○ is how Level rates this role: aI is not part of the work.
This is listed as a remote role.
The posting mentions AI Tools, data analysis and operations among its tools and skills.
Fetch has 79 other open roles on Level.
Posted within the past two weeks.

AI in this role

Operations Data Manager leads a centralized analytics team turning operational data into insights and actions.

ai-tools

data-analysisoperationsmanagement

What we’re building and why we’re building it.
Fetch helps people live rewarded every day, with a vision to become the rewards destination for everyone. We turn everyday activities into meaningful rewards, whether it’s grocery shopping, grabbing a quick meal, or playing a favorite mobile game. To date, we’ve awarded more than $1 billion in Fetch Points to our users.
Each day, more than 13 million receipts are submitted on Fetch, providing visibility into over $212 billion in gross merchandise value. This creates the largest retail-agnostic, SKU-level view of household spending, powering Fetch as an outcomes-based advertising platform that helps brands acquire and retain lifelong consumers.
The Fetch app is available on the App Store and Google Play, with more than 6 million five-star reviews from a highly engaged and loyal user base.
It’s not just our users who believe in Fetch: with investments from Softbank, ICONIQ, DST, Greycroft, and partnerships ranging from challenger brands to Fortune 500 companies, Fetch is reshaping how brands and consumers connect in the marketplace. When you work at Fetch, you play a vital role in a platform that drives brand loyalty and creates lifelong consumers with the power of Fetch points. User and partner success are at the heart of everything we do, and we extend that same commitment to our employees.
At Fetch, we value curiosity, adaptability, and the confidence to explore new tools, especially AI, to drive smarter, faster work. You don’t need to be an expert, but you should be ready to learn quickly and think critically. We welcome learners who move fast, challenge the status quo, and shape what’s next, with us. Ranked as one of America’s Best Startup Employers by Forbes for two years in a row, Fetch fosters a people-first culture rooted in trust, accountability, and innovation. We encourage our employees to challenge ideas, think bigger, and always bring the fun to Fetch.
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.

At Fetch, we'll give you the tools to feel healthy, happy and secure through:

Equity: We offer full-time employees equity in Fetch, so that everyone can benefit from Fetch’s growth.
401(k): Fetch will match your contributions dollar for dollar, up to 4% of your eligible pay.
Benefits for humans and pets: We offer comprehensive medical, dental, and vision plans for everyone, including your pets.
Continuing Education: Fetch provides ten thousand per year in education reimbursement.
Employee Resource Groups: Take part in employee-led groups that are centered around fostering a diverse and inclusive workplace through events, dialogue, and advocacy. The ERGs participate in our Inclusion Council with members of executive leadership.
Paid Time Off: On top of our flexible PTO, Fetch observes 9 paid holidays, as well as our year-end week-long break. (Holidays will vary for Canada-based roles)
Robust Leave Policies: 14 weeks of fully paid parental leave for all employees, plus 6 additional weeks of paid childbirth recovery leave for birthing parents, and a flexible return-to-work schedule.
Calvin Care Cash: Employees who are welcoming new family members will also receive a one-time $2,000 incentive to assist employees with covering the cost of childcare, clothing, diapers, and much more!
Flexible Work Environment: Collaborate with your team in one of our stunning offices, or you can work fully remotely from anywhere in the US for US-based roles. We’ll ensure you are equally equipped with the hardware and software you need to get your job done in the comfort of your home. (applicable for most roles)

Fetch is an equal opportunity employer that embraces diversity, inclusion, and respect for all individuals. We do not discriminate on the basis of race, color, religion, gender, gender identity or expression, sexual orientation, age, national origin, marital status, veteran status, disability, or any other characteristic protected by applicable law. Our commitment to inclusivity ensures that everyone is treated with dignity and has the opportunity to succeed based on their talent, skills, and potential.
Fetch also provides reasonable accommodations to qualified individuals with disabilities or those with sincerely held religious beliefs, as required by law. If you need assistance with the application process or require an accommodation, please contact us at accommodations@fetch.com.

How we rate this

Operations Data Manager at Fetch rates 20 out of 100 for how much of the daily work is AI. That makes it Little AI (AI Level 1 of 4). The level is about AI in the job, not seniority.

Classification

Little AI. AI is not part of the work.

●●●● Builds AI80 to 100
●●●○ Works on AI60 to 79
●●○○ Uses AI40 to 59
●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.

Key facts

Operations Data Manager is an open job at Fetch.
Level rates this role AI Level 1 of 4: Little AI.
The listed salary is $135k-$159k a year.
The role is based in United States - Remote and is marked remote.
The job was posted on October 13, 2026.
Seniority: lead.
Applications are handled by Fetch. Apply on Fetch

Prepare for this job

Built from this posting and from similar jobs on Level.

Skills and AI tools this role asks for

Data AnalysisOperationsManagementAI Tools

Questions you could be asked

Tell me about a project where data analysis was part of your work. What did you do?
Tell me about a project where operations was part of your work. What did you do?
Tell me about a project where management was part of your work. What did you do?
What's a project where you used AI Tools hands-on?

Adapt your resume

List these exact terms on your resume: Data Analysis, Operations, Management, and AI Tools. An applicant tracking system matches the wording, not the idea.
Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.

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