Director, Enterprise Data & Analytics

PACSUN•Anaheim, CA

18h•$175,000 - $210,000

About The Position

The Director, Enterprise Data & Analytics is a hands-on technical and business leader accountable for Pacsun’s enterprise data platform, data warehouse, data engineering, data integrity, and analytics capabilities. The role owns the strategy and day-to-day health of Pacsun’s Snowflake-based retail data ecosystem, ensuring data from stores, digital and social commerce, merchandising, planning, inventory, supply chain, finance, customer, and marketing is trusted, timely, scalable, and actionable, including for real-time and near-real-time use cases. The Director works directly with executive and business leaders to translate retail priorities into data solutions that improve sales, margin, inventory productivity, and customer experience. The role leads the analytics organization, including the Strategy (formerly MicroStrategy) reporting environment, and remains hands-on in data engineering, modeling, integration, troubleshooting, and data-quality resolution. The Director also evaluates and integrates AI solutions into the data and analytics ecosystem with appropriate governance and security. The position leads a small organization that includes a Data Architect and analytics and reporting leadership, and manages vendors, consulting partners, contract or offshore resources, platform budgets, and licensing. The role operates in a professional office environment and routinely uses standard office equipment. Occasional evening and/or weekend work may be required during high-volume periods. Travel by hotel, airplane, and car may be required.

Requirements

Bachelor’s degree in Computer Science, Information Systems, Data Engineering, Engineering, or a related field, or equivalent practical experience.
At least 10 years of progressive experience in enterprise data, data engineering, data warehousing, analytics, or business intelligence, including at least 5 years of leadership responsibility.
Deep hands-on expertise with Snowflake and modern cloud data warehouse architecture, including performance, scalability, data modeling, and cost optimization.
Strong hands-on SQL, relational database, ETL/ELT, data integration, dimensional modeling, and enterprise data architecture experience, with a thorough understanding of data warehouse technology.
Substantial retail experience, preferably in fashion, apparel, or specialty retail, and a strong understanding of sales, inventory, cost, margin, merchandising, stores, eCommerce, and omnichannel operations.
Working knowledge of Strategy (formerly MicroStrategy) and enterprise BI platforms.
Demonstrated experience delivering real-time or near-real-time data integration, such as APIs, event streaming, change data capture, or MuleSoft.
Demonstrated experience establishing data quality, reconciliation, lineage, governance, security, and trusted KPI definitions.
Demonstrated record of learning, adopting, and integrating AI solutions into data and analytics work.
Ability to partner with executives and senior business leaders and translate business objectives into data strategy, technical solutions, and actionable insights.
Ability to operate as a hands-on technical leader rather than solely as a people manager, with excellent communication, influencing, and problem-solving skills.
Operate with a high level of conduct, integrity, and confidentiality; build cross-functional partnerships and promote transparency, collaboration, and accountability.
Ability to recruit, develop, and retain talent while balancing a strong management presence with approachability and encouraging associate feedback.

Nice To Haves

Experience with streaming, event-driven, or near-real-time data architectures.
Experience applying AI/ML, natural-language analytics, or agentic capabilities to enterprise data, and working knowledge of AI governance and data privacy.
Experience in a cloud-first retail technology environment with large-scale eCommerce and omnichannel data.
Experience supporting ERP and financial systems transformations.

Responsibilities

Define and execute the enterprise data and analytics strategy, architecture, roadmap, standards, and operating model, prioritizing work by business value, feasibility, and return on investment.
Own the Snowflake enterprise data warehouse and associated pipelines, data models, semantic layers, and data services, including their performance, scalability, security, and cost.
Provide hands-on technical leadership by investigating data issues, reviewing and developing SQL and data transformations, optimizing pipelines and models, troubleshooting production problems, and resolving complex data-integrity issues.
Ensure data from Microsoft D365, Manhattan OMS and POS, eCommerce, and other source systems is accurate, complete, consistent, secure, and governed; establish ownership, controls, monitoring, reconciliation, lineage, quality standards, and service levels for critical data and KPIs.
Lead real-time and near-real-time data integration into the enterprise platform using approaches such as APIs, event streaming, change data capture, and MuleSoft.
Lead executive dashboards, operational reporting, self-service analytics, and KPI standardization; oversee the Strategy (formerly MicroStrategy) environment, including its semantic layer, security, performance, upgrades, and licensing.
Partner with executives and leaders in merchandising, planning, retail operations, eCommerce, marketing, supply chain, and finance to identify opportunities and turn data into actionable recommendations; serve as an escalation point for data issues.
Apply fashion and apparel retail knowledge to identify data-driven opportunities to improve sales, margin, inventory turns, sell-through, allocation, fulfillment, and customer engagement.
Evaluate, pilot, and integrate AI capabilities where they deliver measurable value; establish responsible AI, privacy, and output-accuracy practices; prepare data for AI and machine learning use cases; and track emerging technology trends.
Lead and develop a small, high-performing organization, including a Data Architect and analytics and reporting leadership.
Manage third-party vendors, consulting partners, contract or offshore resources, data platform budgets, and licensing.
Maintain architecture and governance documentation, including data models, lineage, data flow diagrams, and a KPI glossary, and align data strategy with ERP and financial systems transformation to ensure continuity of data and reporting.
Model integrity, transparency, collaboration, accountability, approachability, and Pacsun’s culture and values; develop talent and encourage associate feedback.