Director of Analytics- Outcomes & Experimentation
Hybrid El Segundo Full-time Director Data Science
At a glance
Director-level Data Science role at Canvas Worldwide. El Segundo · full-time · $145,000–$160,000 base.
SalaryStated by Canvas Worldwide
$145,000 – $160,000
Base salary for this role, in USD per year, as published in the posting.
RoleData Science
SeniorityDirector
LocationEl Segundo
WorkplaceHybrid
EmploymentFull-time
Base pay$145,000–$160,000
PostedAug 27, 2026 · 8w ago
Role brief
dataroles summary, based on the employer's posting.
What you'll do
- Set QA rules and data checks across ingestion, transformation, models, reports, and visualizations
- Trace measurement mismatches across platforms and systems, then lead teams and vendors through root-cause reviews
- Automate recurring data collection, processing, modeling, and reporting work to improve speed and team capacity
- Set the shared measurement technology architecture and review proposed tools, vendors, and proofs of concept
- Guide client and internal stakeholders through measurement planning, technical tradeoffs, launches, and post-launch checks
What you bring
- At least eight years in MarTech, analytics or data engineering, marketing analytics, data science, or a related area
- Experience leading technical analytics or measurement work across platforms, datasets, and stakeholder groups
- A bachelor's degree in a relevant technical or quantitative field, or equivalent experience
- Clear communication of technical tradeoffs, measurement limits, implementation risks, and business impact to varied audiences
Who this fits
This director role suits someone who can lead complex measurement initiatives across technical teams and advise client and executive stakeholders. It includes coaching team members and coordinating work across disciplines. The role is hybrid in El Segundo, with at least three office days each week.
From the employer
Canvas Worldwide dares to be the challenger the ad industry needs. Do you "Challenge the Comfortable?" Then you'll fit right in here at Canvas.
Recognized as one of Ad Age's "Best Places to Work" for three consecutive years, Canvas Worldwide is an independent media agency committed to providing creative solutions for brands that challenge the status quo. Our clients include Hyundai, Kia, Genesis, MGM, Zillow and McDonald’s (to name a few…).
Our agency cultivates an environment where all are welcome to push outside their comfort zones to solve problems in new ways. We encourage the team to be its best by creating the most positive workplace experience for all. For instance, we outpace the industry on diversity and inclusion AND offer continuous training and workshops for career development. So, if you dare to challenge the comfortable… then keep reading.
Role Summary
The Director of Outcomes and Experimentation will build the measurement infrastructure Kia needs to make faster, more confident marketing decisions. This role leads measurement standards, QA, and workflow automation by connecting analytics, media operations, data science, engineering, vendors, and client stakeholders.
Business Impact
• Builds scalable measurement practices that improve decision confidence and consistency.
• Increases team capacity by automating repetitive analytical and operational workflows.
• Creates a standard measurement tech stack foundation across channels and use cases.
• Turns proven workflows into reusable agency capabilities.
Key Responsibilities
Measurement QA and Data Governance
• Build and govern QA standards across data ingestion, transformation, modeling, reporting, and visualization.
• Define validation checkpoints, ownership, escalation paths, documentation requirements, and acceptance criteria.
• Develop frameworks to identify and resolve discrepancies across platforms, ad servers, analytics tools, databases, and reporting systems.
• Lead root-cause analyses with internal teams, clients, technology partners, and vendors.
• Implement monitoring and controls to catch data-quality issues before they affect deliverables or decisions.
• Translate measurement outputs into practical solutions while documenting limitations, dependencies, and appropriate use cases.
Automation and Scalable Workflows
• Design scalable workflows that streamline data collection, processing, modeling, reporting, and visualization.
• Automate repeatable tasks to improve speed, quality, consistency, and team capacity.
• Keep workflows adaptable as measurement needs, platforms, and business priorities evolve.
Marketing Technology Stack - Standardization
• Define and maintain standard measurement technology architecture across analytics, data processing, storage, modeling, and visualization.
• Set selection criteria and governance standards for new technologies and vendor solutions.
• Lead technical reviews and proof-of-concepts for measurement, data, automation, and MarTech tools.
• Turn successful prototypes into reusable capabilities with clear users, use cases, requirements, and value propositions.
Client Leadership
• Serve as a trusted advisor to marketing, media, and executive stakeholders on advanced measurement infrastructure & technologies.
• Lead measurement discussions, workshops, and planning sessions while managing risks, expectations, and stakeholder alignment.
Cross-Functional & Team Leadership Expectations
• Lead multidisciplinary teams through complex technical initiatives with clear roles, decision points, and accountability.
• Translate business needs into actionable plans that connect technical requirements, timelines, risks, and success criteria.
• Drive cross-team execution from planning through launch, including testing, adoption, and post-launch validation.
• Create structure around ambiguous technical and business problems, balancing innovation with reliability, maintainability, adoption, and scale.
• Coach team members through clear delegation and technical guidance while fostering curiosity, accountability, analytical rigor, and continuous improvement.
Qualifications
Required
• 8+ years of experience in MarTech, analytics engineering, data engineering, marketing analytics, data science, or a related field.
• Experience leading technical analytics or measurement initiatives across multiple platforms, datasets, and stakeholder groups.
• Ability to communicate technical tradeoffs, measurement limitations, implementation risks, and business implications clearly to executive, client, technical, and non-technical audiences.
• Bachelor’s degree in computer science, engineering, statistics, data science, information systems, mathematics, or a related field, or equivalent experience.
Preferred
• Familiarity with SQL and modern data platforms or analytical tools such as Snowflake, BigQuery, Python, R, SAS, or comparable technologies.
• Experience managing technical vendors, platform partnerships, cloud integrations, or software development practices.
• Experience taking an internal tool from prototype through adoption, governance, and ongoing product management.
• Agency or client-side marketing analytics experience, particularly in media measurement, experimentation, MarTech, or outcomes-focused analytics. Salary and Benefits Actual base salary is determined upon factors such as experience, qualifications, training, certifications, and internal equity. The Company reserves the right to modify this pay range at any time. Base salary is part of a total rewards package that includes highly competitive benefits like generous medical, dental, vision, pet insurance, commuter benefits, disability and life insurance coverage, 401(k) matching, up to 14 holidays per year, a “Do Good Day,” and unlimited PTO. Additional perks include employee social and wellness events, a DEI Council, auto purchase rebate program, monthly wellness allowance, and in-office amenities such as fresh kombucha and an in-house barista inside our beautiful, new vibrant El Segundo office. In-Office Work Schedule This is a hybrid role, requiring a minimum of 3 days in-office per week. Canvas Worldwide is an Equal Opportunity Employer: All qualified applicants will receive consideration for employment without regard to race, color, religion, sex including sexual orientation and gender identity, national origin, disability, protected Veteran Status, or any other characteristic protected by applicable federal, state, or local law. CA Applicants: Canvas Worldwide practices Fair Chance Hiring
Role Summary
The Director of Outcomes and Experimentation will build the measurement infrastructure Kia needs to make faster, more confident marketing decisions. This role leads measurement standards, QA, and workflow automation by connecting analytics, media operations, data science, engineering, vendors, and client stakeholders.
Business Impact
• Builds scalable measurement practices that improve decision confidence and consistency.
• Increases team capacity by automating repetitive analytical and operational workflows.
• Creates a standard measurement tech stack foundation across channels and use cases.
• Turns proven workflows into reusable agency capabilities.
Key Responsibilities
Measurement QA and Data Governance
• Build and govern QA standards across data ingestion, transformation, modeling, reporting, and visualization.
• Define validation checkpoints, ownership, escalation paths, documentation requirements, and acceptance criteria.
• Develop frameworks to identify and resolve discrepancies across platforms, ad servers, analytics tools, databases, and reporting systems.
• Lead root-cause analyses with internal teams, clients, technology partners, and vendors.
• Implement monitoring and controls to catch data-quality issues before they affect deliverables or decisions.
• Translate measurement outputs into practical solutions while documenting limitations, dependencies, and appropriate use cases.
Automation and Scalable Workflows
• Design scalable workflows that streamline data collection, processing, modeling, reporting, and visualization.
• Automate repeatable tasks to improve speed, quality, consistency, and team capacity.
• Keep workflows adaptable as measurement needs, platforms, and business priorities evolve.
Marketing Technology Stack - Standardization
• Define and maintain standard measurement technology architecture across analytics, data processing, storage, modeling, and visualization.
• Set selection criteria and governance standards for new technologies and vendor solutions.
• Lead technical reviews and proof-of-concepts for measurement, data, automation, and MarTech tools.
• Turn successful prototypes into reusable capabilities with clear users, use cases, requirements, and value propositions.
Client Leadership
• Serve as a trusted advisor to marketing, media, and executive stakeholders on advanced measurement infrastructure & technologies.
• Lead measurement discussions, workshops, and planning sessions while managing risks, expectations, and stakeholder alignment.
Cross-Functional & Team Leadership Expectations
• Lead multidisciplinary teams through complex technical initiatives with clear roles, decision points, and accountability.
• Translate business needs into actionable plans that connect technical requirements, timelines, risks, and success criteria.
• Drive cross-team execution from planning through launch, including testing, adoption, and post-launch validation.
• Create structure around ambiguous technical and business problems, balancing innovation with reliability, maintainability, adoption, and scale.
• Coach team members through clear delegation and technical guidance while fostering curiosity, accountability, analytical rigor, and continuous improvement.
Qualifications
Required
• 8+ years of experience in MarTech, analytics engineering, data engineering, marketing analytics, data science, or a related field.
• Experience leading technical analytics or measurement initiatives across multiple platforms, datasets, and stakeholder groups.
• Ability to communicate technical tradeoffs, measurement limitations, implementation risks, and business implications clearly to executive, client, technical, and non-technical audiences.
• Bachelor’s degree in computer science, engineering, statistics, data science, information systems, mathematics, or a related field, or equivalent experience.
Preferred
• Familiarity with SQL and modern data platforms or analytical tools such as Snowflake, BigQuery, Python, R, SAS, or comparable technologies.
• Experience managing technical vendors, platform partnerships, cloud integrations, or software development practices.
• Experience taking an internal tool from prototype through adoption, governance, and ongoing product management.
• Agency or client-side marketing analytics experience, particularly in media measurement, experimentation, MarTech, or outcomes-focused analytics. Salary and Benefits Actual base salary is determined upon factors such as experience, qualifications, training, certifications, and internal equity. The Company reserves the right to modify this pay range at any time. Base salary is part of a total rewards package that includes highly competitive benefits like generous medical, dental, vision, pet insurance, commuter benefits, disability and life insurance coverage, 401(k) matching, up to 14 holidays per year, a “Do Good Day,” and unlimited PTO. Additional perks include employee social and wellness events, a DEI Council, auto purchase rebate program, monthly wellness allowance, and in-office amenities such as fresh kombucha and an in-house barista inside our beautiful, new vibrant El Segundo office. In-Office Work Schedule This is a hybrid role, requiring a minimum of 3 days in-office per week. Canvas Worldwide is an Equal Opportunity Employer: All qualified applicants will receive consideration for employment without regard to race, color, religion, sex including sexual orientation and gender identity, national origin, disability, protected Veteran Status, or any other characteristic protected by applicable federal, state, or local law. CA Applicants: Canvas Worldwide practices Fair Chance Hiring
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