Responsibilities

• Develop and implement data management approaches that improve marketing execution, including automated data quality checks and streamlined documentation.
• Analyze data from multiple systems to refine customer targeting and improve performance, using approved propensity, affinity, and suppression insights where applicable.
• Build and maintain reusable assets (for example: audience templates, measurement views, and activation-ready datasets) to drive standardization and reusability.
• Design repeatable quality assurance processes, including checklists and validation routines, to reduce manual effort and improve consistency.
• Monitor and troubleshoot audience and data pipeline issues that impact sends, targeting accuracy, and performance.
• Implement alerting and anomaly detection to proactively identify issues and reduce operational risk.
• Partner with product and technology teams to define requirements for channel and data capabilities, ensuring measurable outcomes and clear controls.
• Support development of controlled artificial intelligence capabilities (for example: segmentation, optimization, and workflow automation) aligned to governance and privacy expectations.
• Quantify impact by tracking delivery efficiency, time saved through automation, and measurable performance improvements.
• Share practical insights and recommendations using test-and-learn approaches and data-driven analysis.

Requirements

• Bachelor's degree in data science, statistics, information systems, or a related field.
• Demonstrated hands-on experience in data analytics, customer segmentation, or targeting for marketing use cases.
• Strong SQL skills with proven ability to manipulate data, validate outputs, and support scalable audience creation.
• Working proficiency in Python for analysis and automation of repeatable data processes.
• Experience translating business needs into clear technical requirements and success measures for delivery partners.
• Practical understanding of digital marketing execution and performance measurement, including how targeting choices influence results.
• Ability to identify appropriate automation opportunities, including responsible artificial intelligence use, while keeping scope controlled and outcomes measurable.
• Strong communication skills with the ability to explain complex topics to non-technical partners and influence stakeholders.
• Strong collaboration skills and experience working across marketing, sales, product, and technology teams.

Preferred

• Experience supporting marketing operations and marketing technology platforms, including hands-on activation and measurement workflows.
• Familiarity with customer data platforms and marketing automation tools (for example: Salesforce, Segment, Adobe, SAS, or Microsoft solutions).
• Experience integrating model scores or decision attributes into activation workflows in a controlled, governed manner where permitted.
• Practical project management experience, including agile delivery and toolsets used for tracking work and dependencies.
• Experience working with agencies or consultancies, including evaluating vendor claims and translating them into controlled implementation plans.
• Ability to manage multiple initiatives under deadlines while maintaining quality, documentation, and strong controls.

Benefits

• We offer a competitive total rewards package including base salary determined based on the role, experience, skill set and location. Those in eligible roles may receive commission-based pay and/or discretionary incentive compensation, paid in the form of cash and/or forfeitable equity, awarded in recognition of individual achievements and contributions. We also offer a range of benefits and programs to meet employee needs, based on eligibility. These benefits include comprehensive health care coverage, on-site health and wellness centers, a retirement savings plan, backup childcare, tuition reimbursement, mental health support, financial coaching and more. Additional details about total compensation and benefits will be provided during the hiring process.