Responsibilities

• Technical Leadership & Capability Development
• Serve as the technical leader for Marketing Analytics, helping define the roadmap for marketing measurement, advanced analytics, automation, and AI use cases.
• Design and develop scalable analytics solutions, data products, and automation frameworks that improve marketing decision-making.
• Translate complex business challenges into technical solutions and analytical approaches, balancing rigor with practical execution.
• Define and implement best practices for marketing analytics engineering, data science, experimentation, AI adoption, and solution development within Marketing Analytics.
• Data Integration & Marketing Data Enablement
• Partner with Technology, Data Engineering, and vendor teams to onboard, integrate, and operationalize new marketing, media, customer, and consumer data sources.
• Lead technical implementation of APIs, direct data shares, clean room integrations, cloud-based data connections, and scalable analytics workflows.
• Work across platforms and technologies including Snowflake, cloud environments, marketing technology systems, identity solutions, and clean room ecosystems.
• Improve accessibility, reliability, automation, and usability of marketing data assets that support measurement and decision-making.

Requirements

• 8+ years of experience in Data Science, Analytics Engineering, Marketing Analytics, Data Engineering, or related technical disciplines.
• Advanced proficiency in Python and SQL; experience building scalable analytical workflows and technical solutions.
• Experience working with cloud-based data environments and modern data platforms such as Snowflake, Databricks, AWS, Azure, or GCP.
• Experience developing APIs, data integrations, data models, and reusable analytics assets.
• Experience applying machine learning, statistical modeling, experimentation, and predictive analytics techniques to business problems.
• Strong experience working with customer, marketing, media, or consumer data.
• Demonstrated ability to translate business needs into scalable technical solutions and influence cross-functional stakeholders.
• Ability to explain technical concepts and analytical findings clearly to senior business leaders and non-technical audiences.

Preferred

• Marketing measurement and attribution methodologies, including incrementality testing, causal measurement, and Marketing Mix Modeling (MMM).
• Retail media, digital media, marketing technology, or customer data ecosystems.
• Clean room technologies such as Epsilon, LiveRamp, Habu, InfoSum, or similar.
• Identity resolution, customer data platforms, or audience activation data flows.
• AI, Generative AI, MLOps, or machine learning operationalization.
• Experience supporting marketing, media, consumer insights, or customer-focused business functions.

Benefits

• Medical, Dental, Vision, Disability, Paid Time Off (including paid parental leave, vacation, and sick time), 401k with company match, Tuition Reimbursement, and Mileage Reimbursement
• Annual bonus based on performance and eligibility