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Crayola · 10 hours ago

Sr. Manager, Data Warehouse, Business Intelligence & AI

Easton, PA

Full-time

Onsite

Senior Level

7+ years exp

Crayola is a company that values creativity and sustainability, and they are seeking a Senior Manager for Data Warehouse, Business Intelligence, and AI. This strategic leadership role is responsible for architecting and optimizing enterprise-wide data platforms, leading cross-functional teams, and ensuring compliance with governance standards.

ConsumerEnvironmental ConsultingSocial

Responsibilities

Define the overall data warehouse architecture (e.g., ETL (Extraction, Transformation, and Load) process, ODS (Operational Data Store), EDW (Enterprise Data Warehouse), and Data Marts)

Define best practices and ensure data standardization among all data warehouse architecture including but not limited to load strategies, package scripts, schemas, dimensions, fact tables, etc

Lead the development and optimization of data pipelines using tools like Azure Data Factory, and Informatica

Oversee database administration tasks including schema design, indexing, and performance tuning (Snowflake, SQL Server)

Design and deliver BI dashboards and semantic models using Power BI and MS Fabric

Establish metadata standards and ensure data consistency across reporting platforms

Collaborate with business units to define KPIs and enable self-service analytics

Lead AI/ML initiatives including model development, deployment, and MLOps using frameworks like PyTorch, TensorFlow, and Azure AI Foundry

Integrate predictive analytics and GenAI capabilities into business workflows (e.g., Power BI Copilot, OpenAI models)

Drive innovation through use cases in retail analytics, customer insights, and operational forecasting

Ensure adherence to NIST CSF and Hallmark standards for data security, incident management, and disaster recovery

Implement data governance frameworks including cataloging, quality, and master data management

Manage and mentor a team of data engineers, BI developers, and data scientists

Partner with PMs, BAs, and business leaders to align technical solutions with strategic goals

Lead vendor engagements and oversee technology cost management

Qualification

Data Warehouse ArchitectureBusiness Intelligence ToolsAI/ML FrameworksData GovernanceETL ProcessesData ModelingDatabase TechnologiesStakeholder ManagementAnalytical SkillsLeadership SkillsProblem Solving

Required

Bachelor's degree (Masters preferred) in computer science, information systems field with 7+ years of Business Intelligence work experience and 10+ years overall IT experience

Experience in leading multiple successful enterprise data warehousing efforts

Expertise in data warehousing technologies (e.g. ETL, ODS, DBMS (Database Management Systems), BI) and familiarity with AI/ML frameworks

Strong data modeling skills (normalized and multidimensional)

Understanding of business data and its various sources including but not limited to SAP

Understanding of database technologies and data warehouse methodologies

Strong communication, leadership, and stakeholder management skills

Must have excellent problem solving and analytical skills