Back to jobs

Director - Data Quality & Observability Lead

Pay
$140,000–220,000/yearAnnual period assumed. Location-specific pay — pay source
Compensation Range Ookla provides a range for the base pay. Factors that may be used to determine your actual pay may include your specific job related knowledge, skills, experience, and geographic location. The salary compensation for this role is $140,000 - $220,000. Individual pay within the compensation range for this business unit specific role is determined based on a variety of factors including experience, scope of the role, capabilities to perform the role, education and training, as well as business and company performance.
Read the full posting
Work setting
Not stated
Employment
Not stated

What you’ll work on

Full posting
  • Design and implement the enterprise data quality framework, standards and ownership

  • Build and operate data observability for freshness, volume, schema changes and pipelines

  • Embed quality checks and SLAs across pipelines and data products with engineering teams

  • Define and track data quality KPIs and report status and risk to leadership

  • Lead root cause analysis and remediation for data quality incidents

From the employer’s posting
Design and implement Ookla’s enterprise data quality framework, including rules, standards, measurement practices, and ownership accountability.
Build and operate a data observability capability to monitor data health, freshness, volume, schema changes, and pipeline reliability.
Partner with data engineering, analytics engineering, and governance teams to embed quality checks and SLAs across data pipelines and data products.
Define and track data quality KPIs and metrics; communicate status, trends, and risk to stakeholders and leadership.
Lead root cause analysis and remediation for data quality incidents across the data ecosystem.
Education & alternatives
Required Education and/or Experience - Bachelor’s degree in Computer Science, Information Systems, Data Management, Engineering, Analytics, or a related field. - Advanced degree preferred.

About Ziff Davis

We serve approximately 9,000 clients and generated approximately $70 billion in FY25 revenue.

In the employer’s words · Read in context

Apply at Ziff Davis

Posting record

Report an error
Status in our records
Live
First seen by us
Oct 8, 202628 days ago
Recorded sightings
51
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

Pay

$154K–$225K is typical

The middle half of what similar US postings state. This one doesn’t list pay.

From 2,958 postings in the last year. Stated ranges, not salaries paid.

Time since we first saw it

Day 28

Similar jobs usually come down between day 7 and day 54.

From 7,963 similar postings that came down. Coming down is not always a hire.

Ziff Davis is hiring

10 open jobs

Open jobs by the week we first saw them, last 12 weeks.

Hiring record

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.

  • dbt
  • Great Expectations
Where the posting names them
- Experience designing and deploying enterprise data quality programs, including rules engines, profiling, and remediation workflows. - Familiarity with data observability platforms and data quality tooling such as Monte Carlo, Great Expectations, Soda, or dbt tests. - Strong communication and stakeholder management skills, with the ability to influence without direct authority.

Your next step

Complete your application on jobs.jobvite.com. The employer’s form will show what is required.

Already applied? Track this application

About Ziff Davis

People
About 3,900 in 2025, up 3% from the year before.Annual report (SEC Form 10-K)
Company
Listed as ZD.

Demand for Data Leadership roles

New Data Leadership postings at the employers we follow are up 7% over the last 5 weeks compared with the 5 before.

Weekly new Data Leadership postings at the same employers, from the week of August 17 to the week of October 26. The fewest in a week was 789, the most 1,208, and the latest week had 846.
August 17Last week

Each bar is one week of new postings. The darkest bars are the last 5 weeks.

Counted from the hiring pages we’ve followed for at least five weeks, so employers we add don’t look like growth. Updated weekly.

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

View original posting ↗

The Opportunity

 

The Data Quality & Observability Lead is a director level role within Ookla’s Chief Data & Analytics Office responsible for building and leading the enterprise data quality framework, monitoring capabilities, and observability practices that ensure data used across analytics, AI/ML, and products is accurate, trustworthy, and fit for purpose. This role reports directly to the VP of Data Governance & Strategy.

 

This leader will define quality standards, operate data observability tooling, partner with data engineering and governance teams to embed quality into pipelines, and drive a culture of shared accountability for data health across the organization.

 

This position operates in a hybrid work environment and includes approximately 25% travel to support stakeholder engagement, quality program execution, and team collaboration.

 

Key Responsibilities

 

  • Design and implement Ookla’s enterprise data quality framework, including rules, standards, measurement practices, and ownership accountability.

  • Build and operate a data observability capability to monitor data health, freshness, volume, schema changes, and pipeline reliability.

  • Partner with data engineering, analytics engineering, and governance teams to embed quality checks and SLAs across data pipelines and data products.

  • Define and track data quality KPIs and metrics; communicate status, trends, and risk to

stakeholders and leadership.

  • Lead root cause analysis and remediation for data quality incidents across the data ecosystem.

  • Champion a data-as-a-product mindset, ensuring data quality is a shared organizational accountability across business and technology teams.

  • Evaluate, implement, and manage data quality and observability tooling in partnership with

engineering and architecture.

  • Manage and develop the Data Quality Analyst function and support cross-functional data steward networks.



Job Qualifications

 

Required Knowledge, Skills and Attributes

  • Deep expertise in data quality frameworks, data observability, data monitoring, and data reliability practices.

  • Strong understanding of data pipelines, data warehousing, transformation tools, and modern data stack components.

  • Experience designing and deploying enterprise data quality programs, including rules engines, profiling, and remediation workflows.

  • Familiarity with data observability platforms and data quality tooling such as Monte Carlo, Great Expectations, Soda, or dbt tests.

  • Strong communication and stakeholder management skills, with the ability to influence without direct authority.

  • Ability to translate data quality concepts and metrics into business-relevant language for executive audiences.

  • Strategic mindset with the ability to balance governance rigor, delivery speed, and business enablement.

Required Education and/or Experience

  • Bachelor’s degree in Computer Science, Information Systems, Data Management, Engineering, Analytics, or a related field.

  • Advanced degree preferred.

  • 10+ years of experience in data quality, data engineering, analytics engineering, or related data disciplines.

  • 3+ years of leadership experience managing data quality programs, teams, or governance

functions.

  • Experience implementing data observability and quality monitoring capabilities at enterprise

scale.

  • Relevant certifications in data management, data quality, cloud platforms, or related disciplines are preferred.



About   

 

Ookla, an Accenture company, is a global leader in connectivity intelligence that brings together the

trusted expertise of Speedtest®, Downdetector®, Ekahau®, and RootMetrics® to deliver unmatched network and connectivity insights. By combining multi-source data with industry-leading expertise, we transform network performance metrics into strategic, actionable insights. 

 

Our solutions empower service providers, enterprises, and governments with the critical data and insights needed to optimize networks, enhance digital experiences, and help close the digital divide. At the same time, we amplify the real-world experiences of individuals and businesses that rely on connectivity to work, learn, and communicate. From measuring and analyzing connectivity to driving industry innovation, Ookla helps the world stay connected. 



About Accenture

Accenture helps the world’s leading enterprises reinvent by building their digital core and unleashing the power of AI to create value at speed for organizations across industries. Our strategy is to be the reinvention partner of choice for our clients and lead in the safe, widespread adoption of AI, and to be the most client focused, AI-enabled, great place to work in the world. We bring together the talent of our approximately 799,000 people with proprietary assets and platforms, deep process and industry expertise, and leading ecosystem relationships to deliver end-to-end solutions and measurable outcomes at scale. Through our Reinvention Services, we offer broad expertise across Cybersecurity, Digital Core, Finance, Industry and Enterprise, Song, Supply Chain and Engineering, and Talent, with advanced capabilities in AI and Data, Industry and Process, and Technology. We serve approximately 9,000 clients and generated approximately $70 billion in FY25 revenue. Visit us at accenture.com.

Compensation Range 

Ookla provides a range for the base pay. Factors that may be used to determine your actual pay may include your specific job related knowledge, skills, experience, and geographic location. The salary compensation for this role is $140,000 - $220,000. Individual pay within the compensation range for this business unit specific role is determined based on a variety of factors including experience, scope of the role, capabilities to perform the role, education and training, as well as business and company performance.

Source details

View original posting ↗

Source notes

Source excerpts

Selected passages from the saved posting. Check the full description for conditions and exceptions.

Pay
Compensation Range Ookla provides a range for the base pay. Factors that may be used to determine your actual pay may include your specific job related knowledge, skills, experience, and geographic location. The salary compensation for this role is $140,000 - $220,000. Individual pay within the compensation range for this business unit specific role is determined based on a variety of factors including experience, scope of the role, capabilities to perform the role, education and training, as well as business and company performance.
Location & working pattern

Dallas, Texas

This leader will define quality standards, operate data observability tooling, partner with data engineering and governance teams to embed quality into pipelines, and drive a culture of shared accountability for data health across the organization. This position operates in a hybrid work environment and includes approximately 25% travel to support stakeholder engagement, quality program execution, and team collaboration. Key Responsibilities
Work authorization

No clear work-authorization passage found. Eligibility is unconfirmed.

Find answers in the posting

AI
How answers work

AI selects complete passages from this posting. Check them for conditions and exceptions.

Uses this posting and your question. No profile needed.