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Data Operations Jobs (NOW HIRING)

The Data Operations Lead will leverage their strong technical background and knowledge to support the Sponsor's digital projects and data-driven missions, to include managing agile development ...

PURPOSE OF THE JOB The Data Operations Manager leads the operational management, support, reliability and continuous improvement of ICW Group's enterprise data platform and data operations ...

The Data Operations Manager will lead the operational management and continuous improvement of the enterprise data platform, focusing on reliability and governance while collaborating with cross ...

How You'll Make an Impact As the Director of Data Operations, you will lead a high-performing team of Technical Analysts and DataOps Analysts responsible for enabling data-driven decisions ...

How You'll Make an Impact As the Director of Data Operations, you will lead a high-performing team of Technical Analysts and DataOps Analysts responsible for enabling data-driven decisions ...

Cubist's data services group is looking for Data Operations Analyst to join our dedicated team. Our group is responsible for the timely delivery of comprehensive and error-free data to some of the ...

Cubist's data services group is looking for Data Operations Analyst to join our dedicated team. Our group is responsible for the timely delivery of comprehensive and error-free data to some of the ...

The Data Operations Analyst will join the Technology function, solving complex data problems for the Revecore Data Platform. The ideal candidate will contribute to platform and automation ...

The Manager of Data Operations is responsible for ensuring the reliability, accuracy, and availability of data across the enterprise, leading a team that manages data pipelines, analytics workloads ...

New

You will grow it from a single floor into a global, multi-shift operation that holds a world-class quality bar as it scales. We are looking for someone who has run data collection at scale and is ...

New

We are looking for a Data Operations Lead to ensure the reliability, scalability, and operational excellence of our analytics and data systems. This role is operationally critical and technically ...

THE ROLE As a Data Operations Analyst, you will support analytical, strategic, operational, and/or technical projects that help teams understand markets, evaluate opportunities, improve processes ...

New

Data Operations Analyst

San Francisco, CA ยท On-site

$60K - $85K/yr

Data Operations Analyst We are looking for an eager and motivated Data Operations Analyst to join our Data Operations team. At Hive, our DataOps team is responsible for supporting the development of ...

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Data Operations information

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$52K

$128.5K

$200K

How much do data operations jobs pay per year?

As of Jul 1, 2026, the average yearly pay for data operations in the United States is $128,526.00, according to ZipRecruiter salary data. Most workers in this role earn between $94,000.00 and $163,500.00 per year, depending on experience, location, and employer.

Is data operations a good job?

Data operations is a growing field that involves managing, processing, and maintaining data systems to support business functions. It often requires skills in database management, data quality, and tools like SQL or data pipelines, and can offer stable employment with opportunities for advancement. The role is suitable for individuals interested in technology, data analysis, and operational efficiency.

What is a Data Operations job?

A Data Operations job involves managing and optimizing the processes, tools, and workflows that ensure the efficient movement, storage, and accessibility of data. This includes data ingestion, transformation, quality assurance, and pipeline monitoring to support analytics and business intelligence. Data Operations professionals collaborate with engineers, analysts, and business teams to improve data reliability, scalability, and performance. Their role is critical in maintaining clean, accessible, and well-governed data for decision-making.

What is the role of data operations?

Data operations involve managing, processing, and maintaining data to ensure its accuracy, availability, and security for organizational use. Professionals in this field often work with data management tools, databases, and automation processes to support data-driven decision-making.

What is the highest paying data job?

The highest paying data job is typically a Data Engineering Manager or Chief Data Officer, with salaries often exceeding $150,000 annually depending on experience and location. These roles require advanced skills in data architecture, leadership, and often certifications in cloud platforms or data management tools.

Is 30 too late for data science?

Data operations roles often value skills and experience over age, and many professionals transition into data science at various ages, including in their 30s. Building relevant skills such as programming, statistics, and tools like SQL or Python can facilitate entry, regardless of age. Continuous learning and practical experience are key factors for success in data science careers.

What types of teams and departments does Data Operations typically collaborate with?

Data Operations professionals often work closely with data engineering, business intelligence, IT, and analytics teams, as well as stakeholders from various business units such as marketing, finance, and operations. Their role frequently involves coordinating data pipelines, troubleshooting data quality issues, and ensuring smooth integration across systems. This cross-functional collaboration helps align data efforts with organizational goals and supports informed decision-making throughout the company. Being adaptable and communicative is key, as you'll regularly facilitate the flow of data and insights between technical teams and business users.

What are the key skills and qualifications needed to thrive in the Data Operations position, and why are they important?

To thrive in Data Operations, you need strong analytical skills, data management experience, and a background in fields like information systems, computer science, or statistics. Familiarity with data visualization tools (e.g., Tableau), database management systems (e.g., SQL), and data integration platforms, along with relevant certifications such as AWS or Microsoft Azure Data Engineer, are highly valuable. Exceptional attention to detail, problem-solving ability, and effective collaboration skills differentiate top performers in this role. These competencies ensure accurate data flow, system integrity, and seamless cross-team cooperation, all of which are critical for maintaining reliable business operations.

What cities are hiring for Data Operations jobs? Cities with the most Data Operations job openings:
What are the most commonly searched types of Data Operations jobs? The most popular types of Data Operations jobs are:
What states have the most Data Operations jobs? States with the most job openings for Data Operations jobs include:
Infographic showing various Data Operations job openings in the United States as of June 2026, with employment types broken down into 87% Full Time, 10% Part Time, 1% Temporary, and 2% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $128,526 per year, or $61.8 per hour.

Director, Data Operations

Canoe Intelligence

Jacksonville, FL โ€ข Hybrid

$180K - $220K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 24 days ago


Job description

COMPANY: Canoe Intelligence

WEBSITE: https://canoeintelligence.com/

TITLE: Director, Data Operations

LOCATION: Jacksonville, NYC, or London Hybrid

SALARY: $180,000 to $220,000 base salary + bonus and equity (based on NYC, will be adjusted for geo)

The Role:
The Director of Data Operations will design and lead Canoeโ€™s data operations function at a uniquely interesting moment: Canoe already has the technology. What we're building now is the human expertise that makes it irreplaceable. The Director of Data Operations will own that build โ€” designing the team, the processes, and the operational logic that turns proprietary AI into an institutional-grade data product. This is a rare kind of role: one where your domain knowledge doesn't compete with automation, it defines it.

What Youโ€™ll Do:

Build & Lead the Function

  • Build Canoeโ€™s data operations organization across our Canoe Intelligence and Asset Data Operations businesses โ€” define the team structure, hire the talent, and establish the operating model that scales with the business

  • Own end-to-end outcomes: data extraction, validation, and delivery โ€” you are accountable for accuracy, completeness, and timeliness at every step

  • Recruit, develop, and retain a high-performing team with a mix of operations, data, and private markets expertise

  • Optimize the balance between offshore, onshore, and automated processing capacity โ€” with a clear view of improving agentic data operations quickly

Drive Operational Excellence

  • Define and own the operational metrics that matter: SLA performance, extraction accuracy, completeness rates, exception volumes, and cost per unit โ€” and build the reporting infrastructure that makes them visible

  • Design processes built for automation โ€” every workflow you create should assume that AI handles more of it next week than it does today

  • Drive measurable improvement in cost, quality, and cycle time quarter over quarter โ€” and hold yourself to the same standard you set for the team

Own the Data Extraction Domain

  • Develop and enforce extraction standards across investor reporting, fund-level data, and underlying asset data document types

  • Serve as the connective tissue between human expertise and AI โ€” your teamโ€™s judgment directly informs how our models learn, and your operational design determines how far automation can reliably reach

  • Build and maintain GP-level playbooks and extraction logic that can scale across every client invested in a fund, enabling the Canoe data standard

Partner Cross-Functionally

  • Collaborate with Product, Engineering, and Client Experience to align core workflows with platform capabilities and client outcomes

  • Partner with Client Operations as the operational authority โ€” you will be in the room with clients when the conversation is about data quality, processing, and delivery

What Weโ€™re Looking For:

  • 10+ years of experience in data operations, investment operations, fund administration, private markets services, or adjacent fintech

  • Demonstrated success leading and scaling operational teams, with both people management and automation components

  • Deep command of private markets document types โ€” capital calls, distributions, SOIs, financial statements, valuations, account statements, and more

  • Proven track record building or transforming operational workflows with measurable SLA outcomes

  • Experience designing processes that evolve from manual to automated execution โ€” you think in systems, not just procedures

  • Familiarity with data validation, reconciliation logic, schema design, and downstream reporting requirements

  • Exceptional clarity in communication and cross-team alignment โ€” you can translate operational complexity into language that lands with product, engineering, and the C-suite

  • Bias toward action and simplicity โ€” you make the call, own the outcome, and donโ€™t hide behind process

  • Startup mindset โ€” you thrive where the playbook doesnโ€™t exist yet and youโ€™re the one writing it

Why this Role?

  • You will partner directly with C-level leadership to build a data business, not just a data team

  • Your decisions will shape client outcomes, product direction, and Canoeโ€™s ability to continue scaling into the institutional and wealth markets

  • You will define the gold standard for data operations in private markets

  • This is not a role for someone who wants to optimize an existing machine. Itโ€™s for someone who wants to rethink data operations in the age of agentic workflow, AI, and the intersection of private markets

What Youโ€™ll Get:

  • Medical, dental, vision benefits

  • Flexible PTO

  • 401(k)

  • Flexible work from home policy

  • Home office stipend

  • Employee Assistance Program

  • Gym/Wifi reimbursement

  • Education assistance

  • Parental Leave

Our Values:

  • Client First โ€”> Listen, and deliver client-centric solutions

  • Be An Owner โ€”> Take initiative, improve situations, drive positive outcomes

  • Excellence โ€”> Always set the highest standard for yourself and others

  • Win Together โ€”> 1 + 1 = 3

Who We Are:

Canoe is reimagining alternative investment data processes for hundreds of leading institutional investors, capital allocators, asset servicing firms and wealth managers. By combining industry expertise with the most sophisticated data capture technologies, Canoeโ€™s technology automates the highly-frustrating, time-consuming, and costly manual workflows related to alternative investment document and data management, extraction and delivery. With Canoe, clients can refocus capital and human resources on business performance and growth, increase efficiency, and gain deeper access to their data. Canoeโ€™s AI-driven platform was developed in 2013 for Portage Partners LLC, a private investment firm.

Canoe is an equal opportunity employer. All aspects of employment including the decision to hire, promote, discipline, or discharge, will be based on merit, competence, performance, and business needs. We do not discriminate on the basis of race, color, religion, marital status, age, national origin, ancestry, physical or mental disability, medical condition, pregnancy, genetic information, gender, sexual orientation, gender identity or expression, veteran status, or any other status protected under federal, state, or local law.