Supply Chain Data Product Manager

Key Skills

Analytical and Problem solving, Apache Kafka, Azure, ETL/ELT technologies, JavaScript, NumPy, Python Programming, PyTorch, TensorFlow

Job Description

Join SATG as a Supply Chain Data Product Manager! The Supply Chain Data Product Manager translates long-term business objectives into actionable technology product strategy and an implementation roadmap, with a focus on delivering data solutions.

Responsibilities include but not limited to:

• Represents the technical group as a strategic partner of supply chain business units for full stack business process solutions and owns the delivery of portfolio of technical products and capabilities.

• Leads the planning phases (proposal, concept, feasibility) for new capabilities to identify high-level technology needs and roadmaps, assess feasibility, and collate customer expectations from the product or capability

• Drive a working group of technology product owners to manage portfolio backlog refinement and prioritization, drive cross-team coordination, risk, dependencies, trade-offs, change management, and value realization during the release cycle

• Lead the development and implementation of data solutions, including data warehouses and applications, using appropriate technologies and tools, providing technical guidance and leadership

• Collaborate with data architects, solution architects, solution providers, program managers and APTs to deliver data solutions that align with data best practices and governance

• Strong analytical and problem solving

• Excellent leadership and communication skills

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 in Computer Science, Data Science, Information Systems or Engineering and 9+ years of experience -OR- a Master's Degree in Computer Science, Data Science, Information Systems or Engineering and 6+ years of experience -OR- a PhD in Computer Science, Data Science, Information Systems or Engineering and 4+ years of experience in:

• Product manager/management

• Data management, data integration and data warehousing and design

• Database technologies, ETL tools, data modeling, data security, data governance

• Supply Chain

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, Hillsboro

Covid Statement

Intel strongly encourages employees to be vaccinated against COVID-19. Intel aligns to federal, state, and local laws and as a contractor to the U.S. Government is subject to government mandates that may be issued. Intel policies for COVID-19 including guidance about testing and vaccination are subject to change over time.

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: https://www.intel.com/content/www/us/en/jobs/benefits.html

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.