Data Science Manager

Intel
Hybrid remote in Hillsboro, OR Full Time
POSTED ON 8/12/2022 CLOSED ON 8/16/2022

What are the responsibilities and job description for the Data Science Manager position at Intel?

Job Description


Do you thrive in organizations where transforming quality to have a huge impact to customers is the norm? Do you love working in highly dynamic, ambiguous, cross functional spaces? Intel Corporate Quality Network (CQN), Software Quality and Business Analytics organization is seeking a strong Engineering Manager with technical expertise in tools, process, infrastructure and leading complex large scale programs across geographically dispersed teams. You are an independent leader who can make decisions and set program direction, while demonstrating tremendous empathy and savvy in bringing people together to get things done. You are crisp and comfortable communicating with external partners and senior executives.

You will manage a team of software professionals including but not limited to engineers, architects, business analysts, and program managers who are responsible for delivering results over many areas of the development, manufacturing lifecycle: designing and developing automated solutions, scripts, upstream product quality improvements, analyzing product metrics, customer reported issues.

You will be responsible for driving automations, end-end data analytics across diverse needs (Manufacturing, Labs, Silicon, Software qualifications). Successful candidates will bring deep understanding in building solutions, working in service organization to meet the complex needs, work models. Might be required to provide architectural and technical guidance, and ensure that sound engineering practices are followed. Role includes establishing challenging goals, agility in execution and delivering on user requirements with ability to influence and lead senior technical leaders across the corporation.

Behavior skills
Expertise in motivating employees and building high performing teams.

Leadership skills to influence diverse technical leaders within and across the organization.

Good presentation and communication skills with ability to up level data and issues to senior management
Comfortable in navigating ambiguity and adapting to dynamic, shifting priorities


Qualifications


Minimum qualifications are required 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:
  • Bachelors degree in Computer Science, Engineering or a related discipline with 15 years relevant experience managing development, Validation, or Qualification teams.
  • 5 years of experience making platform decisions and managing direct and indirect teams to deploy large-scale connected data model projects
  • Proven expertise in optimizing engineering processes and building strong data analytics and automated infrastructure solutions.
  • Experience in leading detailed implementation plans, resource allocation, change control, testing, and on-time delivery within budget constraints

Preferred Qualifications:

Master degree in Computer Science, Engineering or a related discipline with 12 years relevant experience managing development, Validation, or Qualification teams.
  • Working knowledge of statistical data models, analysis, common quality tools and processes (example, Risk Assessment, Corrective Action methodology)
  • Good technical knowledge about unique data challenges and tools used in product development, qualification (Requirement Management, Configuration Management, Development, Validation, Quality/Reliability testing, Qualifications)
Domain experience in one or more areas covering either:
Enterprise Level Security, Connected Data Model Architectures or Product Engineering Disciplines (Silicon, Hardware, Software) and workflows across IP-Tools-Supply Chain
  • Experience working in Agile, CI/CD, DevOps models, developing scripts and automated solutions

Requirements listed would be obtained through a combination of industry relevant job experience, internship experiences and or schoolwork/classes/research.

Inside this Business Group


As the world's largest chip manufacturer, Intel strives to make every facet of semiconductor manufacturing state-of-the-art - from semiconductor process development and manufacturing, through yield improvement to packaging, final test and optimization, and world class Supply Chain and facilities support. Employees in the Technology Development and Manufacturing Group are part of a worldwide network of design, development, manufacturing, and assembly/test facilities, all focused on utilizing the power of Moore’s Law to bring smart, connected devices to every person on Earth.


Other Locations


US, Arizona, Phoenix;US, California, Folsom;US, California, Santa Clara


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.


Position of Trust


This role is a Position of Trust. Should you accept this position, you must consent to and pass an extended Background Investigation, which includes (subject to country law), extended education, SEC sanctions, and additional criminal and civil checks. For internals, this investigation may or may not be completed prior to starting the position. For additional questions, please contact your Recruiter....


Work Model for this Role


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.

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