AI Data & NPI Analytics Lead

Amphenol Communications Solutions

Yocumtown (PA)

On-site

USD 95,000 - 125,000

Full time

23 hours ago

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Job summary

Amphenol Communications Solutions, a division of Amphenol Corporation, seeks an AI Data & Business Analyst in Etters, PA to translate complex engineering workflows into clear requirements and AI-enabled improvements. You will work with NPI, Industrial, Process, and Program Management teams to prioritize analytics and automation opportunities.

Responsibilities include cost-modeling, capacity analytics, data definition governance, and developing dashboards for leadership.

Qualifications

Bachelor's degree in Engineering, Information Systems, Data Analytics, or related field, or equivalent practical experience.
4+ years of experience in business analysis, data analysis, process improvement, or engineering analytics within manufacturing, engineering, operations, or NPI.
Demonstrated experience mapping and improving engineering or manufacturing workflows and working with KPIs, business rules, and cross-functional stakeholders.
Strong analytical capability with SQL, Excel, and a data-visualization or BI platform such as Power BI; ability to reconcile data from multiple sources and explain findings clearly.
Experience translating ambiguous business or engineering problems into structured requirements, measurable outcomes, and practical recommendations.
Excellent communication, facilitation, and change-management skills; able to work independently, influence without authority, and travel as needed.
Ability to travel occasionally, 10-15% of the time.

Responsibilities

Document current-state and future-state NPI engineering workflows, including cost modeling, capacity planning, design reviews, and stage-gate activities; identify bottlenecks, control points, and high-value improvement opportunities.
Lead requirements discovery with NPI, Industrial, Process, Test, Quality, Manufacturing, and Program Management stakeholders; translate business needs into user stories, acceptance criteria, and prioritized use cases.
Define and maintain business rules, data definitions, and KPI logic for cost, capacity, yield, schedule, and NPI readiness to create a consistent source of truth.
Extract, clean, reconcile, and structure engineering and factory data using SQL, Excel, Power Query, and other appropriate tools; identify and resolve data-quality issues with system owners.
Develop decision-ready analyses, dashboards, and reports that reveal trends, constraints, tradeoffs, and actionable opportunities for engineering and business leaders.
Partner with the Lead AI Software Engineer to convert prioritized workflows into well-scoped automation requirements, representative test cases, and evaluation datasets.
Curate and govern NPI knowledge content - including standards, lessons learned, cost models, and project history - and coordinate subject-matter review of AI-generated outputs.
Establish baselines and success metrics for AI-enabled workflows; communicate results, document processes, train users, and support adoption across global engineering teams.