ZipRecruiter

Log In

1

Data Operations Manager Jobs (NOW HIRING)

HealthEdge

Data Operations Manager

HealthEdge is looking for a Data Operations Manager with a focus on data insights who thinks like an engineer, works like a scientist and communicates like a strategist. This hybrid role sits at the ...

GoGoMeds

Data Operations Manager

Southgate, KY · On-site

$90K - $115K/yr

Job Summary GoGoMeds is seeking an experienced Data Quality Manager to oversee and support the Data Entry Department within our mail-order pharmacy. This full-time leadership role ensures pharmacy ...

Google

Partner Data Operations Manager

Chicago, IL · On-site

About the job As the Partner Data Operations Manager, you will serve as a vital data-driven partner, bridging the gap between high-level strategy and operational excellence for partner incentives.

New

KPMG US

Manager, Data Operations

Memphis, TN · On-site

They are seeking a Manager, Data Operations to lead and manage resources for Azure Data Lake operations, ensuring platform stability and overseeing data operations monitoring. Responsibilities : • ...

KPMG US

Manager, Data Operations

Albany, NY · On-site

The role involves leading and managing resources for Azure Data Lake, ensuring platform stability, and overseeing data operations monitoring while maintaining operational documentation.

KPMG US

Manager, Data Operations

Virginia Beach, VA · On-site

They are seeking a Manager, Data Operations to lead and manage resources for Azure Data Lake operations, ensuring platform stability and overseeing data operations monitoring. Responsibilities : • ...

KPMG US

Manager, Data Operations

Dallas, TX · On-site

They are seeking a Manager, Data Operations to lead and manage Azure Data Lake operations, ensuring platform stability and overseeing data operations monitoring while collaborating with cross ...

KPMG US

Manager, Data Operations

Phoenix, AZ · On-site

They are seeking a Manager, Data Operations to lead and manage resources for Azure Data Lake operations, ensuring platform stability and overseeing data operations monitoring. Responsibilities : • ...

KPMG US

Manager, Data Operations

Harrisburg, PA · On-site

KPMG is a renowned provider of audit, tax, and advisory services, seeking a Manager, Data Operations - Azure Data Lake to join their Digital Nexus organization. The role involves leading Managed ...

KPMG US

Manager, Data Operations

Orlando, FL · On-site

They are seeking a Manager, Data Operations to lead and manage resources for Azure Data Lake operations, ensuring platform stability and overseeing data operations monitoring. Responsibilities : • ...

KPMG US

Manager, Data Operations

Raleigh, NC · On-site

They are seeking a Manager, Data Operations to lead and manage resources for Azure Data Lake operations, ensuring platform stability and overseeing data operations monitoring. Responsibilities : • ...

KPMG US

Manager, Data Operations

Salt Lake City, UT · On-site

They are seeking a Manager, Data Operations to lead and manage resources for Azure Data Lake operations, ensuring platform stability and overseeing data operations monitoring. Responsibilities : • ...

KPMG US

Manager, Data Operations

Providence, RI · On-site

They are seeking a Manager, Data Operations to lead and manage resources for Azure Data Lake operations, ensuring platform stability and overseeing data operations monitoring. Responsibilities : • ...

KPMG US

Manager, Data Operations

Chicago, IL · On-site

They are seeking a Manager for Data Operations to lead and manage resources for Azure Data Lake, ensuring platform stability and operational support while maintaining service level agreements and ...

next page

Showing results 1-20

All JobsTechnology JobsData JobsDatabase Administrator JobsData Operations Manager Jobs

Data Operations Manager information

See salary details

$31K

$97.1K

$172K

How much do data operations manager jobs pay per year?

As of Aug 31, 2026, the average yearly pay for data operations manager in the United States is $97,145.00, according to ZipRecruiter salary data. Most workers in this role earn between $66,000.00 and $125,500.00 per year, depending on experience, location, and employer.

What is a data operations manager?

A Data Operations Manager oversees the processes and systems that manage an organization's data to ensure accuracy, efficiency, and accessibility. They collaborate with data engineers, analysts, and IT teams to improve data workflows, maintain data integrity, and optimize data governance. Their responsibilities often include automating data processes, troubleshooting issues, and ensuring compliance with data policies. This role is critical for organizations that rely on data-driven decision-making and operational efficiency.

What are the typical daily responsibilities of a data operations manager?

A Data Operations Manager’s daily responsibilities often include overseeing the flow of data across systems, ensuring high data quality and security, and coordinating the activities of data analysts and engineers. They are responsible for developing and optimizing data processes, monitoring system performance, troubleshooting operational issues, and implementing data governance policies. Collaboration is key, as they frequently work with IT teams, business analysts, and stakeholders to ensure data needs and compliance standards are met. This role requires balancing strategic planning with hands-on management of day-to-day data operations.

What are the key skills and qualifications needed to thrive in the data operations manager position, and why are they important?

To thrive as a Data Operations Manager, you need expertise in data management, analytics, workflow optimization, and a strong background in data governance, commonly backed by a degree in computer science or a related field. Proficiency with data warehousing solutions, ETL tools, SQL, and platforms like Tableau or Power BI, along with familiarity with industry certifications such as CDMP or PMP, is highly valuable. Strong leadership, problem-solving, and organizational skills enable effective collaboration with cross-functional teams and the ability to manage complex data projects. These skills and attributes are crucial for ensuring data quality, streamlining operations, and supporting business decision-making through accurate and timely data management.

Is a data operations manager a high paying job?

A data operations manager typically earns a competitive salary that varies by industry, location, and experience level. The role often requires strong analytical skills, knowledge of data management tools, and leadership abilities, which can contribute to higher compensation compared to entry-level positions.
More about Data Operations Manager jobs

What cities are hiring for Data Operations Manager jobs?

Cities with the most Data Operations Manager job openings:

What are the most commonly searched types of Data Operations jobs?

The most popular types of Data Operations jobs are:

Who are the top companies hiring for Data Operations Manager jobs?

The top employers for Data Operations Manager jobs are:

What states have the most Data Operations Manager jobs?

States with the most job openings for Data Operations Manager jobs include:

What job categories do people searching Data Operations Manager jobs look for?

The top searched job categories for Data Operations Manager jobs are:

Data Operations Manager jobs near you
Infographic showing various Data Operations Manager job openings in the United States as of August 2026, with employment types broken down into 84% Full Time, 13% Part Time, 1% Temporary, 1% Contract, and 1% Nights. Highlights an 94% Physical, 2% Hybrid, and 4% Remote job distribution, with an average salary of $97,145 per year, or $46.7 per hour.

Data Operations Manager

Remote

HealthEdge
Computer and Computer Peripheral Equipment and Software Wholesalers • 201 - 500 employees
Learn more about HealthEdgeexternal

Full-time

This job post has expired 2 days ago. Applications are no longer accepted.

Job description

Overview
Overview:
HealthEdge is looking for a Data Operations Manager with a focus on data insights who thinks like an engineer, works like a scientist and communicates like a strategist. This hybrid role sits at the intersection of data platform engineering and ITSM-aligned Problem Management - purpose-built to expose the hidden toil, technical debt and repeat failure patterns that drain engineering capacity and impact payer customer availability across our integrated platform of solutions.
You will leverage AI - including Claude and its supporting functions - to ingest disparate operational data sources, model failure trends and surface prioritized insights that drive permanent resolution rather than perpetual remediation.
WHY THIS ROLE EXISTS
Production stability is a business imperative for health plans that depend on HealthEdge solutions to process claims, manage care and engage members. Repeat incidents, unresolved technical debt and untracked toil create invisible drag on engineering velocity - and visible risk to client uptime. This role exists to make the invisible visible, and to turn data-driven findings into engineering action.
KEY RESPONSIBILITIES
Operational Data Engineering
  • Design, build and maintain pipelines that consolidate data from PagerDuty, Jira, ServiceNow, Datadog, Splunk and other operational sources into a unified analytical layer.
  • Develop and curate data models that identify repeat incidents, known error patterns, chronic alert noise and engineering toil consuming disproportionate remediation cycles.
  • Maintain data quality, lineage and governance standards across all ingested sources - ensuring findings are defensible when presented to senior leadership.
  • Leverage AI and automation - including the Claude API and Claude-powered workflows - to accelerate pattern detection, root cause hypothesis generation and report synthesis across large operational datasets.

Problem Management Practice
  • Own and drive the Problem Management lifecycle across HealthEdge client-facing products.
  • Translate incident patterns into structured Problem Records with defined scope, impact quantification, and recommended permanent fix strategies.
  • Partner with Engineering, SRE, Platform and Product teams to embed problem-driven prioritization into sprint planning and tech debt roadmaps.
  • Facilitate Problem Review sessions - leading cross-functional teams from data to decision
  • Define and track KPIs that demonstrate Problem Management value: reduction in repeat SEV1/SEV2 incidents, MTTR improvement, tech debt resolution velocity and engineering hours reclaimed from toil.

AI-Driven Insight & Visualization
  • Build interactive, executive-ready dashboards and data visualizations that make hotspots, failure modes and technical debt load immediately comprehensible to both engineering and business stakeholders.
  • Apply generative AI tooling to synthesize multi-source operational signals into clear, narrative-driven analysis - reducing time from data to decision.
  • Develop automated reporting workflows that surface trending issues and emerging risk patterns without requiring manual aggregation cycles.
  • Support monthly ceremonies by providing KPI and Outcome trending, highlighting influences to trending themes.

Stakeholder Communication & Business Translation
  • Present operational intelligence findings and Problem Management outcomes to Engineering leadership, VP-level+ audiences and cross-functional stakeholders.
  • Influence from a strategic perspective where the most urgent pockets of risk to platform availability exist, and drive prioritization accordingly.
  • Translate technical findings - infrastructure failure modes, code regression patterns, dependency risks - into business value framing that drives prioritization conversations.
  • Author Problem Record summaries, trend analyses and executive briefings that are concise, evidence-based and action-oriented.

REQUIRED QUALIFICATIONS
Technical Skills
  • 5+ years of data engineering experience with production-grade pipeline design, transformation logic and operational data modeling.
  • Proficiency with Python or Scala for data processing; strong SQL for analytical querying against large, event-driven datasets.
  • Hands-on experience with Jira and at least two of the following: PagerDuty, Datadog, Splunk, ServiceNow - ideally in an operational analytics or SRE context.
  • Experience integrating large language model (LLM) APIs - including Anthropic Claude, OpenAI or similar - into data workflows, automated summarization pipelines or insight generation applications.
  • Proficiency building interactive dashboards and data visualizations, Amazon Quick Suite a strong plus.

Operational & ITSM Knowledge
  • Working knowledge of ITIL or equivalent ITSM frameworks - specifically Incident Management, Problem Management and Change Management process disciplines.
  • Demonstrated ability to identify repeat failure patterns in incident or monitoring data and drive structured root cause analysis and resolution workflows.
  • Familiarity with SRE principles - toil quantification, error budgets, SLO/SLA measurement - and how engineering teams use these to prioritize reliability work.

Communication & Leadership
  • Strong written and verbal communication skills, with demonstrated experience presenting technical analysis to VP or C-level audiences.
  • Ability to translate complex, multi-variable findings into business impact narratives that drive prioritization decisions.
  • Comfortable driving cross-functional alignment - navigating competing priorities across Engineering, Product, Operations and Leadership stakeholders.
  • Self-directed and intellectually curious; you pursue root causes with the same rigor you bring to your data models.

PREFERRED QUALIFICATIONS
  • Experience in a healthcare SaaS environment or regulated platform with high availability requirements.
  • Prior role embedded in an SRE, NOC, Platform Engineering or Operations function - particularly one that included formal Problem Management or post-incident review responsibilities.
  • Experience building AI-powered operational tooling - such as automated incident summarization, intelligent alert correlation or AI-assisted root cause classification.
  • Familiarity with HealthEdge products or the payer technology landscape is a meaningful plus.
  • ITIL Foundation certification or equivalent.

Geographic Responsibility: Remote, US
Type of Employment: Full-time, permanent
FLSA Classification (USA Only): Exempt
Work Environment: The physical demands described here are representative of those that must be met by an employee to successfully perform the essential functions of this job:
  • The employee is occasionally required to move around the office. Specific vision abilities required by this job include close vision, color vision, peripheral vision, depth perception, and ability to adjust focus.
  • Work across multiple time zones in a hybrid or remote work environment.
  • Long periods of time sitting and/or standing in front of a computer using video technology.
  • May require travel dependent on company needs.

The above statements are intended to describe the general nature and level of the job being performed by the individual(s) assigned to this position. They are not intended to be an exhaustive list of all duties, responsibilities, and skills required. HealthEdge reserves the right to modify, add, or remove duties and to assign other duties as necessary. In addition, reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions of this position in compliance with the Americans with Disabilities Act of 1990. Candidates may be required to go through a pre-employment criminal background check.
HealthEdge is an equal opportunity employer. We are committed to workforce diversity and actively encourage all qualified persons to seek employment with us, including, but not limited to, racial and ethnic minorities, women, veterans and persons with disabilities.
#LI-Remote
**The annual US base salary range for this position is $130,000 to $140,000. This salary range may cover multiple career levels at HealthEdge. Final compensation will be determined during the interview process and is based on a combination of factors including, but not limited to, your skills, experience, qualifications and education.
HealthEdge logo

About HealthEdge

Sourced by ZipRecruiter

Health Edge ® provides modern, disruptive technology that delivers for the first time, a suite of products that enables healthcare payors to leverage new business models, improve outcomes, drastically reduce administrative costs and connect everyone in the healthcare delivery cycle. Our next-generation enterprise product suite, HealthRules ®, is built on modern, patented technology and is delivered to customers via the HealthEdge Cloud or on-site deployment. An award-winning company, HealthEdge empowers payors to capitalize on the innovations, challenges and opportunities that await in the new healthcare economy. For more information, visit .

Industry

Computer and computer peripheral equipment and software wholesalers

Company size

201 - 500 Employees

Headquarters location

Burlington, MA, US

Year founded

2005

Social media

FacebookTwitter

View All HealthEdge Jobs

Apply