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Business Operations Innovation Manager

Job in Tempe, Maricopa County, Arizona, 85285, USA
Listing for: Avnet LLC
Full Time position
Listed on 2026-07-20
Job specializations:
  • IT/Tech
    Business Systems & Technology Analysis, Data Analyst, Business Intelligence, Data Engineering
Salary/Wage Range or Industry Benchmark: 90000 - 140000 USD Yearly USD 90000.00 140000.00 YEAR
Job Description & How to Apply Below
Who We Are:

At Avnet, relationships matter. We are a global, FORTUNE  500 technology distributor and solutions company that delivers design, supply chain and logistics expertise to customers at every stage of a product’s lifecycle. Our employees have a front row seat to the latest innovations shaping the world we live in and the future we share. We’re driven to help our customers around the world succeed and we do so by earning the trust of some of the biggest names in technology.

Working at Avnet means being a part of a global team. We work collaboratively and with integrity, doing business the right way. For more than a century, we have partnered together to help our customers, suppliers and teammates realize the transformative possibilities of technology. Experience what’s next at Avnet!

Job Summary This role will drive data-driven process improvement initiatives across global supply chain operations by combining business analytics, automation, modern data technologies, and workflow optimization. The individual contributor will partner cross-functionally to identify inefficiencies, develop scalable solutions, and enable better decision-making through data, dashboards, analytics platforms, and automation.

This position is ideal for someone who can bridge business and technical teams—translating operational challenges into actionable insights and implementing scalable solutions that improve performance, productivity, decision-making, and user adoption. The role will leverage modern cloud-based analytics, data engineering, and AI-enabled technologies to support operational excellence and continuous improvement initiatives.

Principal Responsibilities Process Improvement & Transformation Identify gaps, inefficiencies, and improvement opportunities across global supply chain processes

Design and implement scalable process improvements aligned to business priorities

Define success metrics and track impact of process changes

Partner with business and technical teams to develop data-driven solutions that improve operational performance

Business Intelligence & Insights Develop and maintain dashboards, reporting solutions, and analytical frameworks

Build data models, KPIs, and performance tracking methodologies

Translate data into actionable insights to support business decision-making

Leverage enterprise data platforms and modern analytics technologies to improve visibility and decision support

Support the development of scalable data solutions that improve accessibility, quality, and business value

Automation, Data Platforms & Advanced Tools Identify opportunities to automate manual or repetitive workflows

Deliver solutions using tools such as Power Platform (Power Automate, Power Apps), data pipelines, cloud-based data platforms, or similar technologies

Collaborate with technical teams to support analytics, reporting, and data integration initiatives

Support adoption of modern analytics, AI-enabled tools, and intelligent automation solutions (e.g., Copilot, Claude, ChatGPT, and similar technologies where applicable)
Evaluate emerging technologies and recommend opportunities to improve operational effectiveness through automation, analytics, and AIRequired

Experience in business process improvement, analytics, supply chain, or operations roles

Strong skills in Power BI or similar visualization and analytics tools

Ability to translate business needs into data-driven solutions

Experience working with large datasets, data models, and analytical frameworks

Proven track record delivering measurable business outcomes

Preferred

Experience with workflow automation tools (Power Automate, Power Apps, etc.)Exposure to cloud-based data and analytics platforms (e.g., data lakes, data warehouses, modern analytics environments)
Exposure to AI-enabled tools, intelligent automation, or advanced analytics solutions

Familiarity with data integration, data engineering, or enterprise reporting environments

Background in sales, supply chain, operational analytics, or business operations

Work Experience:

Typically 6+ years with bachelor's or equivalent.

Education and Certification(s):

Bachelor's degree or equivalent experience from which comparable…
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