CSC Generation

Director of AI Analytics

CSC Generation

full-time

Posted on:

Location Type: Remote

Location: Arizona • Florida • United States

Visit company website

Explore more

✨ AI Apply
Apply

Job Level

Lead

Tech Stack

SQL

About the role

  • 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.

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
Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools
analyticsdata leadershipadvanced SQLanalytical modelingAI-enabled analytics workflowsKPI frameworksdata qualitydata governanceevent schemasstructured data formats
Soft Skills
influence senior leadersproblem definitionclear communicationmentoringproactive insight generationdecision impactanalytical transparencycollaborationstrategic thinkingnarrative development