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Executive Data Science Jobs in Oregon (NOW HIRING)

Aptive

Senior Data Architect

$67.25 - $90/hr

Collaborate with data scientists, developers, and analysts to ensure consistent data availability ... Ability to convey complex technical solutions to diverse stakeholders, including executive and non ...

Upstart

Staff Data Analyst, Servicing

OR · On-site +1

$61K - $81K/yr

Create regular executive level presentations to communicate findings and strategic recommendations ... Degree in Economics, Statistics, Mathematics, Engineering, Data Science or other quantitative ...

phData

OR · On-site

Translate business and data science requirements into scalable, secure, and resilient architectures ... Act as a trusted advisor to senior and executive client stakeholders, shaping AI/ML roadmaps ...

Trinity Life Sciences

OR · On-site

... the life sciences industry. They specialize in providing strategic insights and data-driven ... As VP, Executive Management Advisor, you will manage, grow, and expand the TGaS portfolio within ...

Cotiviti

$110K - $135K/yr

You will collaborate closely with cross-functional teams, including engineers, data scientists, and ... Represent the program and team, effectively communicating with executives and stakeholders.

Aptive

$63.75 - $82/hr

Collaborate with data engineers, data scientists, software engineers, and product managers to ... 0), Executive Order 13960/14110 on Trustworthy AI, and OMB Memoranda on AI in government. 3. ...

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Executive Data Science information

See Oregon salary details

$28K

$98.9K

$194.5K

How much do executive data science jobs pay per year?

As of Aug 7, 2026, the average yearly pay for executive data science in Oregon is $98,911.00, according to ZipRecruiter salary data. Most workers in this role earn between $61,300.00 and $127,400.00 per year, depending on experience, location, and employer.

What skills and qualifications are needed to thrive as an executive data scientist?

To thrive as an Executive Data Scientist, you need deep expertise in statistics, machine learning, and data analysis, typically supported by an advanced degree in a quantitative field. Proficiency with data platforms (such as SQL, Hadoop, or Spark), programming languages (like Python or R), and familiarity with data visualization tools is essential, along with certifications like Certified Analytics Professional (CAP) being advantageous. Strategic vision, leadership, and the ability to communicate complex insights to non-technical stakeholders are vital soft skills. These competencies drive effective data-driven decision-making and ensure alignment between analytics initiatives and business objectives.

What is the role of an executive data scientist?

An executive data scientist leads data science initiatives within an organization, translating complex data insights into strategic decisions. They often oversee teams, communicate findings to stakeholders, and require strong skills in analytics, leadership, and business acumen, along with proficiency in tools like Python, R, or SQL. Their role involves aligning data projects with organizational goals and ensuring impactful results.

What is executive data science?

Executive Data Science refers to the leadership and management of data science initiatives within an organization. Professionals in this role are responsible for setting the strategic direction for data-driven projects, overseeing data teams, and ensuring that data science efforts align with business goals. They bridge the gap between technical teams and executives, translating analytical insights into actionable business strategies. Typically, Executive Data Scientists have a blend of technical expertise and strong business acumen, enabling them to make high-level decisions that impact the organization’s growth and innovation.

What is the difference between Executive Data Science vs Data Scientist?

AspectExecutive Data ScienceData Scientist
CredentialsAdvanced degrees (Master's/PhD), leadership experienceBachelor's or Master's in Data Science, Computer Science, or related fields
Work EnvironmentStrategic, leadership-focused, often in executive officesHands-on data analysis, modeling, coding in technical teams
Employer & Industry UsageSenior roles in tech, finance, consulting, and large organizationsTech companies, startups, research institutions, various industries

Executive Data Science roles focus on strategic decision-making, leadership, and overseeing data initiatives, while Data Scientists are primarily involved in technical data analysis and modeling. Both roles require strong analytical skills, but Executive Data Scientists combine technical expertise with leadership responsibilities.

How does an executive data scientist typically collaborate with other departments to drive data-driven decision making?

Executive Data Scientists frequently work cross-functionally with departments such as marketing, product, finance, and operations to identify key business challenges and opportunities where data can provide strategic insights. They lead or advise interdisciplinary teams, translate complex analytics into actionable recommendations, and often present findings to senior leadership or stakeholders. Building strong relationships and understanding business objectives are crucial, as these collaborations enable the alignment of data science initiatives with organizational goals.
What are the most commonly searched types of Data Science jobs in Oregon? The most popular types of Data Science jobs in Oregon are:
What are popular job titles related to Executive Data Science jobs in Oregon? For Executive Data Science jobs in Oregon, the most frequently searched job titles are:
What job categories do people searching Executive Data Science jobs in Oregon look for? The top searched job categories for Executive Data Science jobs in Oregon are:
What cities in Oregon are hiring for Executive Data Science jobs? Cities in Oregon with the most Executive Data Science job openings:
Executive Data Science jobs near you

Yield Development Engineering Manager-Strategic Programs

INTEL

Lafayette, OR

$131K/yr

Full-time

Medical, Retirement, PTO

Re-posted 7 days ago

Intel rating

8.7

Company rating: 8.7 out of 10

Based on 147 frontline employees who took The Breakroom Quiz

19th of 156 rated electronics manufacturers

Job description

Job Description

The Role and Impact
We are seeking a Senior Strategic Program Leader to drive the next generation of Yield and Defect Engineering transformation within a high-volume semiconductor manufacturing environment. This role goes beyond traditional engineering leadership serving as a catalyst for AI-driven innovation, enterprise scale program execution, and cross-functional alignment.


You will lead a multidisciplinary organization responsible for advancing defect metrology, yield engineering systems, and AI-enabled decision intelligence, ensuring the factory operates with predictive, adaptive, and scalable capabilities. Your leadership will directly shape how data, automation, and artificial intelligence are embedded into daily operations to accelerate yield learning, improve cycle time, and increase productivity.


As a key member of the technology and manufacturing leadership team, you will define long-term strategy, influence roadmaps across process integration and metrology, and drive execution of complex, high-impact programs that position the organization for future technology nodes and advanced packaging innovations.
Key Responsibilities
Strategic Leadership and Transformation:

  • Define and execute a multi-year strategy for Yield and Defect Engineering, integrating AI/ML, automation, and digital transformation into core workflows.

  • Lead enterprise-level programs to transition from reactive analysis to predictive and prescriptive yield management systems.

  • Serve as a thought leader in AI adoption for semiconductor manufacturing, identifying high-value use cases and scaling solutions across sites.

AI-Driven Productivity and Decision Intelligence:

  • Champion the deployment of AI/Agentic AI solutions to enhance defect detection, classification, excursion prevention, and root cause analysis.

  • Drive integration of data platforms, digital twins, and advanced analytics into yield and defect systems.

  • Partner with data science, IT, and automation teams to embed real-time decision intelligence into fab operations.

Operational Excellence and Yield Performance:

  • Oversee yield performance across development and high-volume manufacturing, ensuring alignment to aggressive yield, quality, and delivery targets.

  • Lead cross-functional efforts to resolve complex yield limiters and defect excursions, minimizing impact to supply.

  • Institutionalize closed-loop learning systems that accelerate yield ramp and improve defect pareto convergence.

Defect Metrology and Systems Leadership:

  • Define and evolve defect metrology strategy, including tool selection, capability roadmaps, and system architecture.

  • Lead development of scalable defect management systems that enable early detection, excursion containment, and predictive risk mitigation.

  • Ensure alignment of inspection, review, classification, and analytics ecosystems with future technology requirements

Program Execution and Stakeholder Influence:

  • Drive large-scale, cross-site programs requiring alignment across process integration, manufacturing, equipment, and corporate strategy teams.

  • Operate across multiple disciplines translating executive vision into clear roadmaps, measurable milestones, and disciplined execution.

  • Influence senior stakeholders and executives to align investments, priorities, and organizational focus.

Organization and Talent Leadership:

  • Build and lead a high-performing, diverse organization, fostering a culture of innovation, accountability, and continuous learning.

  • Develop next-generation leaders with capabilities spanning engineering depth, data science, and AI fluency.

  • Champion a shift from individual based to scalable, system-driven excellence.


Qualifications
Minimum Qualifications • Bachelor's degree in Engineering, Physics, Materials Science, Data Science, or related field (advanced degree preferred). • 12+ years of experience in semiconductor manufacturing with deep expertise in yield engineering, defect metrology, or process integration. • Proven track record leading complex, cross-functional programs in high-volume manufacturing environments. • Demonstrated experience driving yield improvement and defect reduction at scale, including ramp and HVM phases. • Strong domain expertise in defect metrology tools, inspection systems, and yield analysis methodologies. • Experience integrating data analytics, machine learning, or AI solutions into engineering workflows. • Exceptional leadership and communication skills with ability to influence across organizational boundaries. Preferred Qualifications • Advanced degree (MS/PhD) in a relevant technical or data-centric discipline. • Experience leading AI/ML transformation initiatives in semiconductor or adjacent high-tech industries. • Familiarity with digital manufacturing ecosystems (data platforms, MES integration, advanced analytics tools). • Track record of defining and scaling enterprise-level engineering systems or platforms. • Strong business acumen with ability to connect technical outcomes to cost, cycle time, and revenue impact. • Experience in advanced packaging technologies (e.g., Foveros, EMIB, heterogeneous integration) is a plus. Join our team and be part of shaping the future of technology through your leadership and expertise. Apply today to make an impact. Requirements listed would be obtained through a combination of industry relevant job experience, internship experiences and or schoolwork/classes/research.
Other Locations
US, Phoenix
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 $252,840.00-$356,950.00
*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.
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.

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About Intel

Sourced by ZipRecruiter

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 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

Industry

Manufacturing

Company size

10,000+ Employees

Headquarters location

Santa Clara, CA, US

Year founded

1968

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