Director - Data Quality & Observability Lead

Posted 6 Days Ago
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Dallas, TX, USA
In-Office
140K-220K Annually
Senior level
Digital Media
The Role
Leads Ookla’s enterprise data governance strategy, operating model, policies, ownership frameworks, data quality, privacy, security, metadata, cataloging, lineage, and data literacy programs. The VP partners across engineering, product, analytics, legal, compliance, and business teams; builds governance capabilities into platforms and workflows; and develops a high-performing governance organization. The hybrid role includes approximately 25% travel.
Summary Generated by Built In

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.

Skills Required

  • Deep expertise in enterprise data governance, data quality, metadata management, data stewardship, and data catalog platforms
  • Strong understanding of GDPR, CCPA, data security frameworks, and regulatory compliance requirements
  • Experience defining and operationalizing governance operating models, data ownership frameworks, and enterprise data policies at scale
  • Proven ability to build and sustain data quality programs, observability practices, and data lineage frameworks in complex organizations
  • Familiarity with modern data governance tooling, data catalogs, metadata management, and cloud-native data platforms
  • Strong executive communication, stakeholder management, and organizational leadership skills
  • Strategic ability to balance governance rigor, data enablement, change management, and business value delivery
  • Bachelor's degree in Information Management, Computer Science, Data Management, Business Administration, or a related field
  • Advanced degree
  • 15+ years of experience in data governance, data quality, data management, compliance, or related technology disciplines
  • 7+ years of leadership experience managing data governance, data quality, data stewardship, or data enablement teams and programs
  • Experience building and scaling enterprise data governance programs, including policy frameworks, stewardship networks, and data catalogs
  • Relevant certifications in data governance, data management such as CDMP, privacy, or related disciplines

Ziff Davis Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Ziff Davis and has not been reviewed or approved by Ziff Davis.

  • Healthcare Strength — Employer covers a substantial portion of medical costs and offers multiple plan choices with supportive features such as HSA options, low-deductible access points, and telemedicine. Wellbeing resources and mental health support further reinforce the overall healthcare offering.
  • Parental & Family Support — Generous paid parental leave for birth and non-birth parents is complemented by family‑planning support and practical assistance like medical travel and related logistics. Additional caregiving leave and adoption assistance are also described.
  • Leave & Time Off Breadth — Flexible Time Off in several regions and dedicated Volunteer Time Off indicate a broad approach to rest and community engagement. Company holidays and paid sick time add to overall time‑off flexibility.

Ziff Davis Insights

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The Company
HQ: New York, NY
2,138 Employees
Year Founded: 1927

What We Do

Ziff Davis (Nasdaq: ZD) is a vertically focused digital media and internet company whose portfolio includes leading brands in technology, entertainment, shopping, health, cybersecurity, and martech.

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