VP - Enterprise Data Products, AI & Integrations

Your Job

The Vice President of Enterprise Data, Analytics, AI & Integrations leads Molex's data, analytics, platforms, integrations, and AI capabilities to drive measurable business value. This role transforms Molex's global data assets into insights, intelligence, and automated decision‑making that directly improve manufacturing outcomes, customer experience, commercial performance, and operational efficiency.

This leader must deeply understand Molex's connector business, engineering and manufacturing workflows, and divisional operating rhythms. The role requires the ability to build unified enterprise direction, modernize legacy landscapes, and integrate data, AI, and automation directly into core business processes.

Molex is a leading provider of electronic solutions, committed to innovation and excellence. Our team is dedicated to delivering high‑quality products and services to our customers worldwide. Join us and be part of a dynamic and forward‑thinking organization.

• Enterprise Data, Analytics & AI Strategy:
  Define and execute Molex's Data, Analytics & AI vision in alignment with business priorities and PBM principles. Prioritize high‑value use cases for yield, scrap, supply‑chain visibility, forecasting, pricing intelligence, and customer insights. Build an integrated ecosystem that unifies data platforms, analytics, AI, and integrations, spanning Snowflake, SAP/ERP, PLM, MES, CRM, manufacturing systems, and cloud data services.

• Research, Analytics & Insights:
  Lead Molex's research and analytics functions to deliver actionable insights for manufacturing, engineering, commercial, and operational teams. Build advanced analytics capabilities (forecasting, optimization, simulation, statistical modeling). Shift the organization from dashboard production to decision‑oriented analytics and scenario insights.

• Integrations & Enterprise Architecture Enablement:
  Own Molex's Integration Center of Excellence (APIs, enterprise services, application integration, real‑time data flows). Modernize integration patterns across SAP, ERP, PLM, MES, CRM, manufacturing systems, and cloud data platforms including event‑driven architectures and partner ecosystems. Accelerate automation and reduce data latency across the enterprise.

• Data Products, Platforms & Architecture:
  Build and scale data products supporting enterprise domains (manufacturing, supply chain, quality, finance, commercial). Oversee data lakes, warehouses, ingestion pipelines, semantic models, and metadata systems including data catalogs and lineage systems. Ensure platforms are secure, scalable, cloud‑ready, and AI‑enabled.

• AI, ML & Emerging Technologies:
  Lead Molex's AI roadmap: predictive insights, generative AI, copilots, digital twins, and intelligent automation. Partner with the AI Council to prototype and deploy high‑value AI use cases. Ensure responsible AI governance, model quality, and risk controls, including testing rigor, transparency, and operational risk controls.

• Data Governance, Quality & Trust:
  Mature Molex's data governance model, including stewardship, data ownership, lineage, and quality standards. Ensure data used for financial, regulatory, customer, and operational reporting is accurate, traceable, and compliant. Partner with Cybersecurity, Legal, and Risk to uphold privacy, data protection, and ethical standards. Strengthen alignment to enterprise‑wide data‑access, trust, and compliance frameworks.

• Leadership & Operating Model:
  Lead a global team across data engineering, ML engineering, analytics, integrators, data product management, governance, and platform operations. Build an operating model balancing enterprise standards with local innovation across divisions, connecting enterprise standards to divisional innovation and measurable business value. Foster a culture of curiosity, learning, and AI literacy and develop talent across research, analytics, engineering, integration, and AI/automation disciplines.

• 15+ years leading data, analytics, AI/ML, or integrations in complex global environments (manufacturing preferred).
• Proven track record delivering measurable…