Sr. Manager, Data Warehouse, Business Intelligence & AI

Senior Manager, Data Warehouse, Business Intelligence, and AI

General Summary

The Senior Manager, Data Warehouse, Business Intelligence, and AI is a strategic technology leader responsible for architecting, implementing, and optimizing enterprise data platforms. This role integrates data warehousing, business intelligence, and AI/ML capabilities to support advanced analytics, operational performance, and innovation. The manager oversees technical delivery, leads cross-functional teams, and ensures alignment with governance, compliance, and security standards across the organization.

Principal Duties & Responsibilities

Data Warehouse Architecture & Engineering

• Define enterprise data warehouse architecture including ETL processes, ODS, EDW, and Data Marts.
• Establish standards for data models, load strategies, schemas, and data structures.
• Lead the development and optimization of data pipelines using tools such as Azure Data Factory and Informatica.
• Oversee database administration including schema design, indexing, and performance optimization across platforms such as Snowflake and SQL Server.

Business Intelligence Strategy

• Design and deliver dashboards, analytics solutions, and semantic models using tools such as Power BI and Fabric.
• Establish metadata and data consistency standards across BI platforms.
• Partner with business stakeholders to define KPIs and enable self-service analytics.

AI/ML Enablement

• Lead AI/ML model development, deployment, and MLOps practices using frameworks such as PyTorch, TensorFlow, and Azure AI services.
• Integrate predictive analytics and generative AI capabilities into business workflows.
• Drive innovation through use cases such as forecasting, customer insights, and operational analytics.

Governance & Compliance

• Ensure adherence to data security, incident management, and disaster recovery standards.
• Implement data governance frameworks including cataloging, data quality, and master data management.

Team Leadership & Collaboration

• Manage and mentor teams of data engineers, BI developers, and data scientists.
• Collaborate with project managers, business analysts, and leadership to align solutions with strategic objectives.
• Lead vendor partnerships and oversee technology cost management.
• Ensure compliance with enterprise standards related to maintenance, security monitoring, asset management, change management, incident response, vulnerability management, and continuity planning.

Job Specifications

• Bachelor’s degree required; advanced degree preferred.
• 7 years of BI experience and 10 years of overall IT experience.
• Proven experience leading enterprise data warehouse initiatives.
• Expertise in ETL, ODS, data modeling, BI technologies, and AI/ML frameworks.
• Strong understanding of business data and enterprise systems such as ERP platforms.
• Strong communication, leadership, analytical, and problem-solving skills.

Physical Requirements

• Role requires frequent sitting, talking, and listening.
• Occasional walking and use of hands for operating tools or controls.
• Ability to lift up to 25 pounds occasionally.
• Requires close vision and ability to adjust focus.

Disclaimer

This job description outlines the general nature and key responsibilities of the role. It is not an exhaustive list of all duties, responsibilities, or qualifications associated with this position.