Director of AI Analytics & Enterprise System Integration

PacSun; Anaheim (CA); On-site; USD 176,000 - 196,000; Full time

Benefits offered by this job

Competitive short-term incentive

100% vested 401K contributions withem

Employer match 401K

Dog friendly office

$1,000 referral incentive program

Generous associate discount of 30 - 50

On-site Cafe

On-site Gym with Fitness Classes

Weekly Car Wash Service

Job summary

Pacsun is seeking a Director of System Integration and AI Analytics to lead the enterprise AI analytics, data architecture, and system integration initiatives. This leadership role will drive the roadmap for AI/ML deployment across retail operations, merchandising, and customer experience, partnering with executives to prioritize investments and ensure secure, scalable data platforms.

The role requires hands-on depth in AI platforms, Snowflake, Microstrategy, and Mulesoft, plus a strong track

Qualifications

• Bachelor's or Master's degree in Computer Science, Data Science, Artificial Intelligence, or related field.
• Minimum of 10 years of experience in data architecture, BI, and analytics, including at least 5 years applying AI/ML in a leadership role.
• Mandatory retail industry experience.
• Hands-on experience deploying machine learning and generative AI solutions in a production enterprise environment, including MLOps practices.
• Expert-level proficiency in Microstrategy and hands-on experience with Snowflake.
• Working knowledge of AI governance, responsible AI practices, and data privacy/regulatory considerations relevant to AI systems.
• Proven track record of delivering enterprise-wide data and AI architecture solutions focused on retail analytics and innovation.

Responsibilities

• Own Pacsun's AI analytics and business reporting roadmap, prioritizing use cases by business value, feasibility, and ROI in partnership with executive stakeholders.
• Prepare and govern the enterprise data landscape for AI use cases, including data readiness for retrieval-augmented generation (RAG), feature engineering, model training pipelines, and vector data stores.
• Establish and enforce responsible AI practices, including model risk review, bias and accuracy monitoring, data privacy, and compliance with emerging AI regulations and internal governance standards.
• Direct the design, development, and maintenance of scalable enterprise Business Intelligence and system integration solutions that support AI-driven decision-making.
• Oversee integrations across key enterprise systems — Microsoft D365, Manhattan OMS, Manhattan POS, EDI, and Mulesoft — ensuring the integration layer can reliably feed AI and analytics workloads.
• Own the Snowflake data platform and Microstrategy BI environment, ensuring performance, scalability, and governance as AI adoption grows.
• Partner with cross-functional leaders to align AI, data, and integration strategy with Pacsun's next ERP and Financial System transformation.
• Evaluate and manage third‑party AI tools and vendor partnerships, ensuring solutions meet security, data governance, and integration standards.
• Create and maintain data and AI architecture documentation, including model inventories, data flow diagrams, and governance frameworks.
• Lead ETL/ELT and OLAP development to ensure efficient, trustworthy data pipelines feeding both traditional BI and AI/ML systems.
• Act as the primary liaison between IT, data science, and business stakeholders to prioritize AI and data-related initiatives.
• Track emerging AI technologies and retail industry trends, recommending where new capabilities can create competitive advantage.
• Mentor and manage a team of BI developers, analysts, and integration engineers, building AI and data fluency across the team.

Education

Bachelor's or Master's degree in Computer Science, Data Science, Artificial Intelligence, or related field

Job description

Pacsun is seeking a Director of System Integration and AI Analytics to lead the enterprise AI analytics, data architecture, and system integration initiatives. This leadership role will drive the roadmap for AI/ML deployment across retail operations, merchandising, and customer experience, partnering with executives to prioritize investments and ensure secure, scalable data platforms.

The role requires hands-on depth in AI platforms, Snowflake, Microstrategy, and Mulesoft, plus a strong track