Head of Analytics & Outcomes Experimentation

Canvasww; El Segundo (CA); On-site; USD 180,000 - 240,000; Full time

Job summary

Kia seeks a Director of Outcomes and Experimentation to design and govern its measurement infrastructure, QA, and workflow automation. You will connect analytics, media operations, data science, engineering, and vendors to drive faster, more confident marketing decisions.

You will lead cross-functional teams, define validation checkpoints, and translate measurement outputs into practical solutions while documenting limitations and dependencies.

Qualifications

• 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 diverse audiences.
• Bachelor’s degree in computer science, engineering, statistics, data science, information systems, mathematics, or a related field, or equivalent experience.

Responsibilities

• Builds scalable measurement practices that improve decision confidence and consistency.
• Automate repeatable analytical and operational workflows to increase team capacity.
• Define standard measurement architecture and governance across analytics, data processing, storage, modeling, and visualization.
• Lead discussions with marketing, media, executives, clients, and technology partners on advanced measurement infrastructure.

Skills

MarTech experience

Analytics engineering

Data engineering

Marketing analytics

Data science

Stakeholder communication

Education

Bachelor’s degree or equivalent experience in a quantitative field

Tools

SQL

Snowflake

BigQuery

Python

R

SAS

Job description

Kia seeks a Director of Outcomes and Experimentation to design and govern its measurement infrastructure, QA, and workflow automation. You will connect analytics, media operations, data science, engineering, and vendors to drive faster, more confident marketing decisions.

You will lead cross-functional teams, define validation checkpoints, and translate measurement outputs into practical solutions while documenting limitations and dependencies.