Director of AI Analytics
Location
Arizona + 16 moreAll locations: Arizona | Florida | Louisiana | Nevada | North Carolina | Oklahoma | Michigan | Mississippi | Missouri | Pennsylvania | Tennessee | Texas | Utah | Virginia | West Virginia | Wisconsin | Wyoming
Posted
64 days ago
Salary
0
Seniority
Lead
Job Description
Director of AI Analytics
CSC Generation
• Serve as the primary analytics leader across eCommerce, Marketing, Finance, Retail, Merchandising, Inventory Planning, and Operations. • Own problem definition for analytics - determining which business questions matter and what decisions insights should inform. • Move analysis beyond “what happened” to “why it happened,” “how it happened,” and “what we should do next.” • Proactively mine data to identify risks, opportunities, inefficiencies, and performance drivers. • Influence senior leaders through clear implications and actionable recommendations. • Own the integrity, governance, and usability of core commerce, customer, and operational datasets across platforms (eCommerce, POS, CDP, email, data warehouse). • Validate insights using business context and commercial logic — not just technical correctness. • Define, document, and continuously evolve company-wide KPI frameworks in partnership with Finance and functional leaders. • Identify and resolve cross-functional metric misalignment to ensure a single, trusted understanding of performance. • Establish standards for data quality, documentation, and analytical transparency across the organization. • Leverage AI as a core component of advanced analytical work, including hypothesis generation, exploratory analysis, pattern detection, insight synthesis, and narrative development. • Design, operationalize, and scale repeatable AI-assisted workflows that support recurring company-level decisions (growth, margin optimization, inventory productivity, forecast alignment). • Establish validation frameworks to pressure-test AI-generated outputs against source data, historical performance, customer behavior, and commercial logic. • Embed AI-enabled insights into planning, forecasting, and executive performance reviews. • Promote responsible, explainable, and outcome-driven AI usage across analytics workflows. • Own web and digital analytics strategy using Heap, including funnel performance, customer journey analysis, and conversion optimization. • Ensure tracking integrity and event schema accuracy, including review of structured data formats (e.g., JSON, data layers) in partnership with Product Engineering. • Translate behavioral data into commercial implications that influence merchandising, marketing, inventory, and operational decisions. • Ensure behavioral insights are aligned with downstream systems and financial realities. • Reconcile demand, margin, inventory, and operational perspectives into cohesive performance narratives. • Support planning, forecasting, and performance alignment across Finance, Retail, Merchandising, and Operations. • Challenge assumptions and reframe business narratives using data-backed insight. • Serve as a connector between commercial strategy and operational execution. • Establish analytical standards that prioritize clarity, trust, commercial relevance, and decision impact. • Reduce reactive ad hoc work by building scalable, decision-focused reporting and automation frameworks. • Design the structure, workflows, and expectations for the analytics function. • Hire, mentor, and develop junior analytics talent once foundational systems are established. • Champion a modern, insight-driven analytics culture across the company.
Job Requirements
- 8+ years of experience in Analytics, Strategy, or Data Leadership roles.
- Demonstrated experience leading analytics across multiple business functions.
- Strong experience in commerce-driven businesses (retail, eCommerce, CPG, marketplace).
- Comprehensive knowledge of all traffic acquisition channels and their downstream impact on site behavior, using that expertise to develop reliable forecasts that drive strategic decision-making.
- Advanced SQL and strong analytical modeling capabilities.
- Demonstrated experience designing and governing AI-enabled analytics workflows.
- Strong capability to pressure-test AI-generated insights against data, customer behavior, and commercial logic.
- Hands-on expertise with Heap or similar event-based web analytics platforms.
- Comfort working with structured data formats (e.g., JSON), event schemas, and data instrumentation.
- Experience defining KPI frameworks and resolving cross-functional metric misalignment.
- Proven ability to translate complex data into clear, compelling stories that inform and influence executive decision-making - moving leadership from insight to action with confidence and conviction.
- Track record of proactive insight generation, not reactive reporting
- Ability to work standard Eastern Time business hours
Benefits
- Health insurance
- 401(k) matching
- Flexible work hours
- Paid time off
- Professional development opportunities
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