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Business Data Architect – Forecast to Stock (FTS)

Phoenix, Arizona, Stany Zjednoczone| Albuquerque, Nowy Meksyk, Stany Zjednoczone| Hillsboro, Oregon, Stany Zjednoczone| Folsom, Kalifornia, Stany Zjednoczone| Santa Clara, Kalifornia, Stany Zjednoczone Identyfikator oferty JR0263674 Kategoria Data, UX, and Ecosystem Sciences Tryb pracy Hybrydowy Poziom doświadczenia Doświadczony Wymiar etatu Praca na pełny etat

Job Description

We are seeking a skilled Business Data Architect to join our Enterprise Forecast, Planning, and Execution (EFPE) Data Integration team in the Intel Product Group, Forecast To Stock tower. In this Business Data Architect role, you will be responsible for designing data flows and data integration requirements across various people, processes, and systems used in Intel's supply chain.

You will use your subject matter expertise, combined with your data expertise to ensure that data is properly identified and connected through a business process flow and across multiple business process flows.

This role will closely collaborate with the Front-End Planning, Back-End Planning, Data Solutions, Boundary Applications, and ERP teams within EFPE, in addition to working with a variety of teams outside of the EFPE organization. This role will require you to develop expertise in a variety of data and business processes.

Responsibilities may include but not be limited to:

  • Strategic thinking while driving tangible, quantifiable improvements over time.
  • Understanding business needs and translating them into data-centric requirements.
  • Using data and subject matter expertise to influence process design and technical data design.
  • Developing data flows and diagrams, and performing fit-gap analyses to ensure effective integration of data into business process and capabilities.
  • Communication, explanation, and clarification of data designs and/or requirements with stakeholders and business groups.
  • Development of recommendations for issues in supply chain planning areas using data-driven decision making across appropriate key stakeholder including IT and planners.
  • Building partnerships and collaborating effectively across highly matrixed teams.
  • Translating complex supply chain problems into simplified models.

A successful candidate will demonstrate:

  • Strong communication and influencing.
  • Self-sufficiency, with skills to drive forward work, bounce back from adversity, and quickly notice changes/problems.
  • Fluency in data solutioning and data sourcing.
  • Systems-thinking approach to problem solving.
  • A team player mentality.
  • High tolerance of ambiguity.
  • Stakeholder management skills.
  • An inquisitive, motivated, fast learner.


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. This Position is not eligible for Intel immigration sponsorship.

Minimum qualifications:

- Bachelor's degree and 4+ years of experience in the below. In lieu of bachelor’s degree, 6+ years of experience in the following areas:

  • Experience with data queries, and evaluation/interpretation of data sets, or Experience in requirements gathering for business, system, or data requirements.

  • Proficiency with any of the following: SIPOC, FMEA, Data Flow Diagrams, Data Models, Swimlane Diagrams, Excel, Business Process Models.

Preferred qualifications:

- Bachelor’s degree in supply chain management, Industrial Engineering, Business, IT, Computer Science, Data Science, or any related field of study.

- Experience in driving change through data and data solutions.

- Advanced proficiency with Excel.

- Proficiency with SQL and/or other query languages.

- Knowledge of key data domains utilized in supply chain planning and the relation of data across them (including Product/Item, Demand, Capacity, Inventory and Financials).

- Technical background with understanding of data structures/design and experience in data analysis/profiling.

- Knowledge of demand planning, supply planning, procurement, manufacturing processes and the use of data within.

Inside this Business Group

Intel's Sales and Marketing (SMG) organization works with global customers and partners to solve critical business problems with Intel based technology solutions. SMG works across business units to amplify the customer voice and deliver solutions that accelerate their business. We work across numerous industries, including retail, enterprise and government, cloud services and healthcare as examples. The operations team focuses on forecasting, driving alignment with factory production and delivering efficiency tools and our marketing capability drives demand and localized marketing in locations around the globe. Our sales force navigates a complex partner and customer ecosystem while shaping product roadmaps, driving value for our customers, and collaborating to harness emerging technology trends to deliver comprehensive solutions.

Other Locations

US, NM, Albuquerque; 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.


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 US, California: $144,501.00-$217,311.00
*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. In certain circumstances the work model may change to accommodate business needs.
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