Director, Enterprise Data Strategy & Business Insights

Lydall Inc

Dallas, TX, USA
On-site
Enterprise data strategy from a business perspective
Define and document end-to-end business processes
Establish enterprise-wide kpi definitions
The Director of Enterprise Data Strategy & Business Insights is a business-facing senior leader responsible for establishing and driving a business-aligned data and analytics capability across Alkegen

Job Summary

  • The Director of Enterprise Data Strategy & Business Insights is a business-facing senior leader responsible for establishing and driving a business-aligned data and analytics capability across Alkegen.
  • This leader will focus on understanding and mapping core business processes (Finance, Supply Chain, Manufacturing, Commercial) and translating them into standardized data definitions, KPIs, and governed data products.
  • The role requires a leader who is both a strategic thinker capable of defining enterprise data frameworks and a pragmatic operator who can work across functions to deliver tangible business outcomes quickly.

Matching Summary

The Director of Enterprise Data Strategy & Business Insights is a business-facing senior leader responsible for establishing and driving a business-aligned data and analytics capability across Alkegen.

Skills & Requirements

Must-have

  • Enterprise data strategy from a business perspective
  • Define and document end-to-end business processes
  • Establish enterprise-wide KPI definitions
  • Data governance frameworks
  • Analytics demand management
  • Data science-driven business solutions

Nice-to-have

  • Business-focused data science solutions
  • Cross-functional collaboration and change management
  • Business adoption of analytics
  • Scalable data products

Key Requirements

  • 12-15+ years of experience in Business Analytics, Finance, Supply Chain, Operations, or Data Strategy roles
  • Strong understanding of end-to-end business processes in a manufacturing environment
  • Proven experience defining KPIs, business rules, and performance metrics
  • Demonstrated ability to bridge business and technical teams
  • Experience working in multi-ERP environments
  • Experience applying data science approaches to deliver business outcomes
  • Strong communication skills
  • Experience driving cross-functional alignment and organizational change
  • Solid understanding of data and analytics concepts

Work Rights

Not specified

Tailored Resume

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