About the Job:
This role leads the Digital Customer Data & Analytics team, reporting to the Director of Digital Customer Data & Analytics, and will manage – direct reports. It is a highly technical leadership position requiring recent, hands-on experience in data engineering practices, infrastructure design, and advanced analytics. The candidate must demonstrate expert-level SQL proficiency, intermediate Python skills, and exposure to ML/AI, as technical work cannot be delegated and must be executed personally for speed and accuracy. Beyond technical execution, the role will shape the vision for applied analytics, drive roadmap implementation, and coach junior team members to deliver impactful, data-driven insights that influence strategic decisions across digital platforms. This position will have significant impact by ensuring analytics excellence and enabling faster, smarter decisions that align with organizational priorities.
The Day-to-Day:
Lead and manage a team of digital customer analysts to build and support digital customer analytics across the organization.
Own the development and execution of impactful deliverables with data-drive insights that inform strategic decision-making across creative, technical, and business stakeholders.
Explore, scope, perform discovery, build, and implement new and current data models for baseline reporting and direct application of data model outputs to digital pillars. Work closely and knowledgably with data engineers to pipe data and data science teams to build data models, along with cross-functional partners to design domain-specific analytics frameworks.
Ensure high data accuracy across all data platforms through regular data audits across all data sources and be able to knowledgably discovery, document, and ensure completion of outstanding data issues.
Ensure that foundational analytics work aligns closely and is relevant with broader organization goals and big bets across the different domains.
Support best-practice A/B testing and experimentation with a clear understanding of complex statistical concepts and methodologies (Bonferroni, Bayesian, etc.)
Personally perform technical analytics utilizing SQL/Python at an expert level proficiency.
Understanding of UAT/PVT methodologies and best practices to ensure proper governance, taxonomy, and implementation on digital platforms.
Manager, Digital Applied Analytics • Irvine, CA, United States
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