Director of AI & Data Science — Marketing Measurement

LinkedIn Job Wrapping; New York (NY); On-site; USD 200,000 - 260,000; Full time

Job summary

Artefact invites a Director to lead marketing measurement and effectiveness for its US client portfolio, starting with a major in-flight program for a US financial services client.

This player-coach role requires owning methodology, client relationships, and guiding a multi-workstream data science team while building reusable accelerators and IP.

You will work hands-on to ensure rigorous measurement and credible outcomes, with close collaboration across analysts, engineers, and strategists.

Qualifications

• 10+ years of marketing measurement experience with MMM, incrementality, and attribution.
• Executive-facing communication and client management experience.
• Master's degree in CS/Engineering/Statistics or related field.

Responsibilities

• Own the design, execution and interpretation of marketing measurement programs (MMM, geo and incrementality testing, attribution, experimentation and optimization).
• Lead the statistical modeling architecture with rigorous validation and uncertainty treatment.
• Translate model outputs into media investment, budget allocation and scenario planning decisions.
• Build and deploy GenAI and agentic AI applications into production for measurement and decision-making.
• Grow the account and represent Artefact externally through thought leadership and partnerships.

Skills

Marketing measurement

Marketing Mix Modeling

Incrementality

Attribution

Causal inference

Bayesian methods

Experimentation

GenAI / agentic AI

Executive communication

Team leadership

MLOps / cloud deployment

Education

Master's degree in CS/Engineering/Statistics

Tools

Looker

Tableau

Power BI

BigQuery

Snowflake

Databricks

Job description

Artefact invites a Director to lead marketing measurement and effectiveness for its US client portfolio, starting with a major in-flight program for a US financial services client.

This player-coach role requires owning methodology, client relationships, and guiding a multi-workstream data science team while building reusable accelerators and IP.

You will work hands-on to ensure rigorous measurement and credible outcomes, with close collaboration across analysts, engineers, and strategists.