Data Intelligence Manager

Amphenol ICC

$120K — $145K *
Information Technology
8 - 10 years of experience
Job Overview by Ladders

Qualifications

  • Bachelor's degree in Engineering, Information Systems, Computer Science, Analytics, or related field.
  • 8+ years of experience in data analytics, digital transformation, business intelligence, knowledge management, or related disciplines.
  • 3+ years of leadership experience managing technical professionals.
  • Experience implementing enterprise reporting, analytics, or automation solutions.
  • Strong understanding of Microsoft 365 ecosystem and modern collaboration platforms.

Responsibilities

  • Convert operational, engineering, quality, and business data into actionable insights.
  • Drive data quality, governance, and standardization across global sites.
  • Lead development of automation, reporting, and digital workflow solutions.
  • Champion adoption of AI, Copilot, Power Platform, and emerging digital technologies.
  • Own the effectiveness of collaboration and information management platforms, including SharePoint and Microsoft 365.
  • Establish best practices that reduce reliance on tribal knowledge and increase organizational learning.
  • Establish and communicate priorities, roadmaps, and resource plans aligned with company objectives.

Benefits

  • Collaborative work environment with cross-functional teams.
  • Opportunity to lead and influence data-driven decision making.
  • Access to cutting-edge technologies and tools, including AI and automation.
  • Potential for professional development and growth within the organization.
  • Focus on best practices that foster continuous organizational learning.
Full Job Description
Position Summary: Data Intelligence Manager

Location: Hamden, CT

The Data Intelligence Manager will lead the development of enterprise data intelligence, analytics, knowledge systems, and digital solutions that enable faster, data-driven decision making across the organization. This role is responsible for establishing data governance, developing analytics capabilities, driving automation and AI adoption, and leading a global team that transforms raw data into actionable business insights. The Manager will partner closely with Engineering, Quality, Operations, IT, and Business leaders to improve organizational effectiveness through intelligent use of data and technology.

Responsibilities:

Data Intelligence & Analytics
  • Convert operational, engineering, quality, and business data into actionable insights.
  • Drive data quality, governance, and standardization across global sites.

Digital Solutions & Automation
  • Lead development of automation, reporting, and digital workflow solutions.
  • Champion adoption of AI, Copilot, Power Platform, and emerging digital technologies.

Knowledge & Collaboration Systems
  • Own the effectiveness of collaboration and information management platforms, including SharePoint and Microsoft 365.
  • Establish best practices that reduce reliance on tribal knowledge and increase organizational learning.

Leadership & Organizational Development
  • Establish and communicate priorities, roadmaps, and resource plans aligned with company objectives.
  • Build organizational capability in analytics, automation/intelligence solutions, and data-driven decision making.

Required Qualifications:
  • Bachelor's degree in Engineering, Information Systems, Computer Science, Analytics, or related field.
  • 8+ years of experience in data analytics, digital transformation, business intelligence, knowledge management, or related disciplines.
  • 3+ years of leadership experience managing technical professionals.
  • Experience implementing enterprise reporting, analytics, or automation solutions.
  • Strong understanding of Microsoft 365 ecosystem and modern collaboration platforms.

Preferred
  • Experience supporting manufacturing, engineering, quality, or industrial operations.
  • Expertise with Power BI, Power Platform, SharePoint, SQL, and Python.
  • Experience with AI-enabled solutions, Copilot, agentic workflows, or advanced analytics.
  • Experience leading cross-functional digital transformation initiatives.


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