IT Product Owner - Supply Planning Data

Job Description

We are looking for an experienced IT Product Owner to join our Supply Chain IT team. This role's main responsibility is to oversee the data requirements of Supply Planning throughout the entire development process, from conceptualization to the final stages of design. This will require gathering data requirements from various domains, creating user stories, and prioritizing the product backlog.
Responsibilities include but are not limited to:

• Collaborate with stakeholders to establish, prioritize, implement, maintain, improve, and discontinue process capabilities.
• Identifies business requirements and system specifications that meet business user data requirements, maps them to systems capabilities, and recommends technical solutions.
• Assesses the feasibility of an idea, understands user expectations, conducts design due diligence, and evaluates business value and risks.
• Participate in all product testing phases, from unit to user acceptance testing on the IT front.
• Ensure transformation alignment with relevant enterprise-level initiatives.
• Maintain/build stakeholder relationships and effectively communicate across teams.
• Keeps abreast of the latest process trends in demand forecasting and planning.
• Estimates effort and schedules for major projects and drives the team to meet the timelines while ensuring quality.

Qualifications

You must possess the below minimum qualifications to be initially considered for this position. Preferred qualifications are in addition to the minimum requirements and are considered a plus factor in identifying top candidates.

Minimum Qualifications:

The candidate must have a Bachelor's Degree and 6 years OR Masters and 4 years years of experience in:

• Supply Planning, Demand Planning, P2P, and production order business processes and data solutions.
• Requirements gathering, systems/business analysis, process mapping, solution acceptance testing, and deployment.
• Designing and implementing data solutions for enterprise planning software solutions such as Blue Yonder ESP, IBP, or equivalent.
• Experience in data enablement for Supply Planning in one of these platforms: Snowflake or Azure or Databricks or similar environments
• Extensive knowledge in semi-conductor Manfacturing industry

Preferred Qualifications:

• Knowledge on Statistical or AI/ML algorithms will be a plus.
• Practicing Agile methodologies.
  

The ideal candidate should possess a combination of business process knowledge, data and analytics skills and acumen to enable process transformation by leveraging technology.

Inside this Business Group

Intel's Information Technology Group (IT) designs, deploys and supports the information technology architecture and hardware/software applications for Intel. This includes the LAN, WAN, telephony, data centers, client PCs, backup and restore, and enterprise applications. IT is also responsible for e-Commerce development, data hosting and delivery of Web content and services.

Other Locations

US, OR, Hillsboro; US, CA, Folsom; US, CA, Santa Clara

Posting Statement

All qualified applicants will receive consideration for employment without regard to race, color, religion, religious creed, sex, national origin, ancestry, age, physical or mental disability, medical condition, genetic information, military and veteran status, marital status, pregnancy, gender, gender expression, gender identity, sexual orientation, or any other characteristic protected by local law, regulation, or ordinance.

Benefits

We offer a total compensation package that ranks among the best in the industry. It consists of competitive pay, stock, bonuses, as well as, benefit programs which include health, retirement, and vacation. Find more information about all of our Amazing Benefits here.



Annual Salary Range for jobs which could be performed in the US $116,819.00-$175,333.00
*Salary range dependent on a number of factors including location and experience

Working Model

This role will be eligible for our hybrid work model which allows employees to split their time between working on-site at their assigned Intel site and off-site. * Job posting details (such as work model, location or time type) are subject to change.