Director - Data Quality & Observability Lead

Fideo Intelligence, Inc.; Dallas (TX); Hybrid; USD 140,000 - 220,000; Full time

Benefits offered by this job

Hybrid work environment

Travel 25%

Job summary

Ookla is seeking a Data Quality & Observability Lead, a director-level role within the Chief Data & Analytics Office, to define quality standards, build enterprise data quality framework, and embed observability across analytics, AI/ML, and products.

This leader will partner with data engineering and governance teams to monitor data health, drive a culture of shared accountability, and oversee tooling across the data ecosystem. The position is hybrid with approximately 25% travel.

Qualifications

• 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 balancing governance rigor, delivery speed, and business enablement.

Responsibilities

• Design and implement enterprise data quality framework with rules, standards, and ownership accountability.
• Build and operate data observability to monitor health, freshness, volume, and pipeline reliability.
• Partner with data engineering, analytics engineering, and governance teams to embed quality checks and SLAs across pipelines.
• Define and track data quality KPIs and 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 shared accountability across business and tech teams.
• Evaluate, implement, and manage data quality and observability tooling with engineering and architecture.
• Manage and develop the Data Quality Analyst function and support cross-functional data steward networks.

Skills

Data quality frameworks

Data observability

Data pipelines

Data warehousing

Transformation tools

Data reliability

Stakeholder management

Executive communication

Education

Bachelor's degree in Computer Science, Information Systems, Data Management, Engineering, Analytics, or related field

Advanced degree preferred

Tools

Monte Carlo

Great Expectations

Soda

dbt tests

Job description

Description

Position at Ookla

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.