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Data Operations Director Jobs (NOW HIRING)

HealthEdge

Data Operations Manager

HealthEdge is looking for a Data Operations Manager with a focus on data insights who thinks like ... Self-directed and intellectually curious; you pursue root causes with the same rigor you bring to ...

HappyRobot Inc

Data Operations Lead

San Francisco, CA · On-site

$180K - $240K/yr

Manage End-to-End Operations: Oversee the full lifecycle of data acquisition, ensuring datasets are ... Direct both in-house and third-party labeling teams by setting guidelines, prioritizing workflows ...

Oracle

Director, Data Center Operations

Harwood, ND

Performance Monitoring and Analysis: -Sets strategic direction for data center operations performance monitoring, collaborates with executive leadership. -Defines strategic direction for network ...

Oracle

Director, Data Center Operations

Harwood, ND

Performance Monitoring and Analysis: -Sets strategic direction for data center operations performance monitoring, collaborates with executive leadership. -Defines strategic direction for network ...

HealthEdge

HealthEdge is looking for a Data Operations Manager with a focus on data insights who thinks like ... Self-directed and intellectually curious; you pursue root causes with the same rigor you bring to ...

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Data Operations Director information

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$52K

$128.5K

$200K

How much do data operations director jobs pay per year?

As of Jul 22, 2026, the average yearly pay for data operations director 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.

What are the key skills and qualifications needed to thrive as a Data Operations Director, and why are they important?

To thrive as a Data Operations Director, you need expertise in data management, analytics, process optimization, and a relevant degree such as in computer science, statistics, or information systems. Familiarity with data warehousing solutions, ETL tools, cloud platforms (like AWS or Azure), and certifications such as Certified Data Management Professional (CDMP) are commonly required. Leadership, strategic thinking, and strong communication skills are essential for driving cross-functional teams and aligning data initiatives with business goals. These capabilities ensure efficient, secure, and high-quality data operations that support informed decision-making and organizational growth.

How does a Data Operations Director typically collaborate with cross-functional teams to ensure data integrity and accessibility?

A Data Operations Director works closely with IT, data engineering, analytics, and business units to establish robust data governance practices and streamline data workflows. They often lead efforts to standardize data definitions, enforce quality controls, and implement access protocols to ensure that stakeholders across the organization can use reliable data for decision-making. Regular meetings, project management tools, and clear communication channels are essential for aligning priorities and resolving data-related issues efficiently. This cross-functional collaboration is key to maintaining high data integrity and fostering a data-driven culture.

What does a Data Operations Director do?

A Data Operations Director is responsible for overseeing the management, organization, and optimization of a company's data-related processes and teams. They ensure data quality, security, and accessibility, while aligning data management with business goals. This role often involves supervising data analysts, engineers, and other professionals, and implementing strategies for data governance and compliance. The Data Operations Director also collaborates with other departments to support data-driven decision making and operational efficiency.

What is the difference between Data Operations Director vs Data Analyst?

AspectData Operations DirectorData Analyst
Required CredentialsBachelor's or Master's in Data Science, Business, or related field; experience in data managementBachelor's in Data Science, Statistics, or related field; proficiency in data analysis tools
Work EnvironmentLeadership role overseeing data teams, strategic planningAnalyzing data sets, generating reports, supporting decision-making
Employer & Industry UsageUsed in organizations with large data operations, tech, finance, healthcareCommon across various industries for data insights and reporting

The Data Operations Director focuses on managing data teams and strategic data initiatives, while the Data Analyst concentrates on analyzing data to generate insights. Both roles require strong data skills, but differ in scope and responsibilities.

More about Data Operations Director jobs
What cities are hiring for Data Operations Director jobs? Cities with the most Data Operations Director 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 Director jobs? The top employers for Data Operations Director jobs are:
What states have the most Data Operations Director jobs? States with the most job openings for Data Operations Director jobs include:
What job categories do people searching Data Operations Director jobs look for? The top searched job categories for Data Operations Director jobs are:
Data Operations Director jobs near you
Infographic showing various Data Operations Director job openings in the United States as of July 2026, with employment types broken down into 1% As Needed, 84% Full Time, 11% Part Time, 1% Temporary, and 3% 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.
Data Operations Manager

Data Operations Manager

HealthEdge

Remote

Full-time

Posted 19 days ago

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.
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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

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