Director of AI Analytics

Vaga não está no LinkedIn

🕒 Abril 17

🌵 Arizona, Florida, +15 estados a mais – Remoto

🌵 Arizona – Remote 🐊 Florida – Remote ⚜️ Louisiana – Remote 🎰 Nevada – Remote 🌲 North Carolina – Remote 🌪️ Oklahoma – Remote 🚗 Michigan – Remote 🎸 Mississippi – Remote 🏰 Missouri – Remote 🔔 Pennsylvania – Remote 🎸 Tennessee – Remote 🤠 Texas – Remote ⛷️ Utah – Remote ⚔️ Virginia – Remote ⛰️ West Virginia – Remote 🧀 Wisconsin – Remote 🦬 Wyoming – Remote

⏰ Tempo Integral

🔴 Especialista

🤖 Inteligência Artificial

👻 Score fantasma 32%

O que significa: quão provável esta vaga está aberta sem contratação ativa.Como ler: 60% ou mais significa que achamos que é uma vaga fantasma. Pontuações mais baixas preocupam menos.Como pontuamos: tempo em aberto, republicações, vagas abertas vs tamanho do time, rapidez para fechar vagas, e se o salário está divulgado.Observação: é uma estimativa de dados públicos, não um julgamento da empresa. Vagas reais podem ter pontuação alta, então use como uma dica, não como um fato.

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CSC Generation

SiteLinkedInTodas as Vagas

1001 - 5000 funcionários

🛒 Varejo

🛍️ Comércio Eletrônico

🤖 Inteligência Artificial

💰 Venture Round em 2019-01

Retail • eCommerce • Artificial Intelligence

A CSC Generation é uma plataforma de tecnologia de varejo que incrementa o crescimento da receita e a gestão de margem através de automação e inteligência artificial. A empresa gerencia um portfólio diversificado de 325. 000 produtos online e recebe mais de 10 milhões de visualizações mensais em suas marcas. A CSC Generation se especializa em varejo, comércio eletrônico e atacado, com um compromisso de expandir adquirindo marcas bem-sucedidas. Fundada em 2016 por Justin Yoshimura, a CSC Generation adquiriu várias marcas conhecidas, incluindo One Kings Lane e Sur La Table, e continua a buscar novas marcas para integrar à sua rede. A empresa oferece amplas oportunidades de carreira e foca em criar um ambiente de trabalho inspirador e desafiador.

Descrição

• 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.

🎯 Requisitos

• 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

🏖️ Benefícios

• Health insurance • 401(k) matching • Flexible work hours • Paid time off • Professional development opportunities