Responsibilities

• Design data and audience management approaches that enable consistent, reusable targeting and measurement across campaigns.
• Develop data quality monitoring and automated operational reporting to reduce manual work and improve reliability.
• Analyze performance and targeting inputs from systems of record and approved analytical signals to improve relevance and efficiency.
• Standardize audience outputs and documentation (requirements, definitions, and testing checklists) to accelerate delivery and reduce defects.
• Manage end-to-end execution for data initiatives, including monitoring, issue triage, and proactive alerting to protect delivery and results.
• Partner with Product and Technology to define functional designs and delivery plans for platform enhancements and cross-channel initiatives.
• Identify responsible artificial intelligence opportunities and support “human-in-the-loop” operating models with clear controls, explainability expectations, and measurable outcomes.

Requirements

• Bachelor's degree in Data Science, Statistics, Information Systems, or a related field.
• Experience in data analytics and/or customer segmentation, with the ability to connect analytical outputs to campaign execution outcomes.
• Proficiency with SQL and common analytics and reporting tools (for example: Python, Excel, Tableau, Adobe).
• Ability to translate business requirements into technical specifications and communicate complex topics to non-technical partners.
• Strong understanding of digital marketing fundamentals, measurement, and test-and-learn optimization.
• Strong project execution skills, including planning, dependencies, and risk/issue management across stakeholders.
• Strong written and verbal communication skills, with the ability to influence partners and explain artificial intelligence-supported decisions and controls clearly.

Preferred

• Experience in marketing operations and/or marketing technology, including exposure to artificial intelligence-enabled targeting or decisioning.
• Experience with agile delivery and project management tools (for example: Jira, Confluence, Microsoft Project, PowerPoint).
• Experience with customer data platforms and marketing automation tools (for example: Salesforce, Segment, SAS, Adobe, Microsoft).
• Experience working with agencies and/or consultancies, including translating vendor capabilities into governed requirements.
• Ability to manage multiple initiatives under tight timelines while maintaining quality and consistency.
• Strong relationship-building and negotiation skills, including alignment on responsible artificial intelligence use, governance needs, and success measures.

Benefits

• 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