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No Corp-to-corp. No 3rd party firms
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Position: Director of BI-Analytics (Manufacturing)
Location: 4-day onsite in Irvine, CA (Only local candidates will be considered)
Terms: Direct-hire
Compensation: 175,000 to 225,000 plus annual bonus, equity
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We're partnered with a client seeking a strategic and hands-on Director of BI-Analytics to lead enterprise data, analytics, and AI initiatives. This leader will own the vision, architecture, governance, and delivery of modern data platforms while driving data-driven and AI-enabled decision-making across the organization.
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What You'll Do
- Lead global Business Intelligence, Data Analytics, and Data Engineering teams supporting enterprise reporting, self-service analytics, and advanced analytics initiatives
- Define and execute enterprise data strategy, including data architecture, governance, engineering, and analytics roadmaps
- Drive modernization of cloud-based data platforms, data warehousing, and enterprise integration capabilities
- Oversee data governance, data quality, metadata management, and data engineering standards across the organization
- Lead analytics and reporting solutions that support Finance, Sales, Marketing, Supply Chain, Operations, Quality, Regulatory, and other business functions
- Evaluate, implement, and optimize AI capabilities, including conversational AI, agentic AI, and advanced analytics solutions that improve decision-making and automate business processes
- Partner with Software Engineering, IT, Security, and business leaders to ensure secure, scalable, and compliant deployment of AI and data solutions
- Manage enterprise data integrations across ERP, CRM, HR, manufacturing, quality, and operational systems
- Establish scalable delivery frameworks, SDLC processes, governance models, and change management practices
- Lead budgeting, workforce planning, vendor relationships, team development, and performance management for the BI and Analytics organization
- Present strategic roadmaps, business cases, and performance metrics to executive leadership
- Build strong relationships across the business to drive adoption of analytics, governance, and AI-driven capabilities
What You'll Bring
- Bachelor's degree in Information Technology, Computer Science, Data Analytics, or a related field, or equivalent experience
- 10+ years of experience in Business Intelligence, Data Analytics, Data Engineering, or related disciplines
- 5+ years of leadership experience managing BI, analytics, or data engineering teams in a manufacturing setting
- Proven experience implementing and managing enterprise cloud data warehouse solutions, data integration platforms, and analytics ecosystems in a manufacturing setting required
- Strong expertise in data governance, data quality, data architecture, and analytics modernization initiatives
- Experience integrating enterprise business platforms, including ERP, CRM, HR, and operational systems
- Knowledge of cloud analytics technologies, data visualization platforms, and modern data engineering practices
- Strong understanding of data privacy, security, controls, disaster recovery, and compliance requirements
- Expert knowledge of Agile, Waterfall, and hybrid SDLC methodologies
- Exceptional leadership, communication, stakeholder management, and strategic planning skills
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All qualified applicants will receive consideration for employment without regard to race, color, national origin, age, ancestry, religion, sex, sexual orientation, gender identity, gender expression, marital status, disability, medical condition, genetic information, pregnancy, or military or veteran status. We consider all qualified applicants, including those with criminal histories, in a manner consistent with state and local laws, including the California Fair Chance Act, City of Los Angeles' Fair Chance Initiative for Hiring Ordinance, Los Angeles County Fair Chance Ordinance, and San Francisco Fair Chance Ordinance.
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