1

Executive Data Science Jobs in Springfield, OR (NOW HIRING)

Communications Associate

Eugene, OR · On-site

$22.84 - $34.70/hr

CAS School of Computer & Data Sciences Classification: Public Info Representative 1 Appointment ... Executive Director and other members of SCDS. The Associate will be an extension of the CAS Comms ...

Communications Associate

Eugene, OR · On-site

$22.84 - $34.70/hr

CAS School of Computer & Data Sciences Classification: Public Info Representative 1 Appointment ... Executive Director and other members of SCDS. The Associate will be an extension of the CAS Comms ...

Executive Data Science information

See Springfield, OR salary details

$27.4K

$96.8K

$190.4K

How much do executive data science jobs pay per year?

As of Aug 25, 2026, the average yearly pay for executive data science in Springfield, OR is $96,830.00, according to ZipRecruiter salary data. Most workers in this role earn between $60,000.00 and $124,700.00 per year, depending on experience, location, and employer.

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 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.

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 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.

What are the most commonly searched types of Data Science jobs in Springfield, OR?

The most popular types of Data Science jobs in Springfield, OR are:

What job categories do people searching Executive Data Science jobs in Springfield, OR look for?

The top searched job categories for Executive Data Science jobs in Springfield, OR are:

What cities near Springfield, OR are hiring for Executive Data Science jobs?

Cities near Springfield, OR with the most Executive Data Science job openings:

VP Operations Data & Insights

Eugene, OR • On-site


PenFed Credit Union
Finance and Insurance • 1 - 5K employees

7.6

Company rating: 7.6 out of 10

Based on 14 frontline employees who took The Breakroom Quiz

Good employer

Paid breaks

Recommended by parents


Full-time

Re-posted 9 days ago


Job description

Overview

PenFed is hiring a (Hybrid) VP Operations Data & Insights at our San Antonio, Texas; Eugene, Oregon; Omaha, Nebraska; Papillion, Nebraska or Tysons, Virginia location.  The primary purpose of this job is to lead and transform Operations Data Delivery functions and to ensure value creation across the division through advanced analytics, machine learning (ML), and artificial intelligence (AI). This position will also be responsible for delivering advanced data analytics capabilities and AI/ML solutions to senior Operations leadership and ultimately to our members. The VP of Operations Data & Insights will work with his/her peers to ensure Enterprise Data governance, Data quality, error-free deployment of IT capabilities.  This individual will serve as a thought leader in applied analytics, guiding senior Operations leaders in developing high-value AI/ML use cases.  This role will also oversee our Voice of the Member (VoM) program, that aggregates member interaction, surveys, and other datapoints to drive predictive analytics and business process optimization in our member-facing channels.


Responsibilities

Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. This is not intended to be an all-inclusive list of job duties and the position will perform other duties as assigned.

  • Act as a crucial change agent in the divisional strategy to leverage internal and external data assets to fuel data applications and Cognitive/AI/ML driven advanced analytics.
  • Create and drive the data architecture and roadmap, assess and optimize the Operations data infrastructure, and maintain an overarching data/tools ecosystem to support advanced analytics, and interoperability internally and externally.
  • Serve as a change agent in PenFed’s continued transformation towards a data-driven enterprise.
  • As a trusted advisor to senior Operations leadership, this individual will lead the development of the data strategy, roadmap, and execution, transforming provider, member, partner engagement through data, and the enablement of advanced analytics.
  • Oversee and optimize both data and analytic platforms that deliver value added solutions to PenFed members and business units.
  • Act as strong cross-functional leader to liaise with other executives and work collaboratively with different business verticals to orchestrate a federated approach to data and analytic platforms.
  • Create and establish a strategy and vision that shapes and drives data and supports analytics to enable PenFed to be a Data driven organization serving member needs.
  • Partner with leaders and stakeholders to introduce automation, artificial intelligence, and predictive learning initiatives
  • Support the data governance program, ensuring that data standards, data quality, and metadata management conforms to established corporate standards
  • Strive to both reduce the cost of managing data, and, increase the value of the data.

  • Work closely with each business unit to identify solutions that align with the enterprise strategy, leveraging enterprise solutions, and when needed provide specific solutions that are unique for that business.

  • Lead, manage, and partner with cross functional teams to continually improve data governance, data quality, and data security in a multi-tenant environment; standardize data.

  • Serve as an advisor and consultant to business leaders across the enterprise, assisting leaders with understanding how they can best leverage their data to drive business outcomes

  • Promote and lead a culture of operational excellence and continuous improvement for the daily support of data and analytics platforms and constantly evolve and transform.

  • Develop, coach, and lead a high performing team, and manage a diverse team of professionals that focuses on maximizing performance, business impact and results, as well.

  • Oversee the Voice of the Member (VoM) program—which aggregates member interaction, survey, and additional datapoints to better understand member behavior, root cause analysis on gaps & opportunities, and drives business process optimization.

  • Collaborate with industry experts to understand emergent approaches to data management and platform development in the support of digital platforms, analytic platforms.

  • Helps safeguard PenFed’s computer and IT systems by monitoring staff adherence of all security policies and related training for individuals managed by this role. Take appropriate action working with IT Security and HR when necessary to address any security breaches.

*This role is responsible for ensuring business continuity.*


Qualifications

Equivalent combination of education and experience is considered.

  • Bachelor’s Degree in Computer Science, Information Technology, or MIS.
  • Minimum of twelve (12) – fifteen (15) years or more of in data and/or applications management, including creating partnerships to drive data governance and quality, with five (5) years in a Director role or equivalent (i.e., leading a team, managing budgets, meeting deadlines, developing policies and guidelines, staff performance management)
  • Minimum of ten (10) years of broadly based, progressive information management and data strategy experience, preferably within Financial Services
  • Demonstrated experience building and leading enterprise data and analytics platforms, aligning stakeholders, and securing leadership support for strategic priorities.
  • Proven leadership and management skills, with the ability to set and execute a clear vision for an enterprise data delivery function.
  • Experience with modern, cloud-based platforms focused on security, privacy, and scalability, including leading modernization from legacy on-premises tools to cloud-enabled capabilities.
  • Experience with systems development, data visualization tools such as Tableau, and advanced analytics ecosystems.
  • Experience working with third-party delivery models, including offshore and nearshore teams.
  • Ability to effectively manage resources, priorities, and projects while balancing strategic priorities with day-to-day operational execution.
  • Hands-on knowledge of data management, analytics platforms, information management, quantitative methods, and IT security and infrastructure trends.
  • Strong influencing skills, with the ability to help senior leaders identify data-driven opportunities and use data to solve business challenges and drive outcomes.
  • Proven thought leadership in developing innovative tools, methodologies, and solutions, including cloud, big data, machine learning, and artificial intelligence.
  • Strong change management experience in complex organizations, with the interpersonal skills needed to drive alignment and adoption.
  • Exceptional analytical, written, verbal, presentation, and executive-level communication skills across multiple channels.
  • Experience using automation or A.I. tools preferred.

Supervisory Responsibility

  • This position will directly supervise employees
  • This position will also have matrix management supervisory responsibilities.
  • This position may manage contractual performance of 3rd party resources.

Licenses and Certifications

There are no additional certifications required.
 

Work Environment

While performing the duties of this job, the employee is regularly exposed to an indoor office setting with moderate noise.

*Most roles require working in an office setting with moderate noise and the ability to lift 25 pounds.*

Travel

Ability to travel to various worksites and be on-call may be required.

Pay Transparency 
The anticipated starting salary range for this role is $152,200.00 - $345,242.00
This position is eligible for an organizational performance based annual bonus, subject to board discretion and approval.
This position is eligible for an individual performance based annual bonus.

#LI-Hybrid

Qualifications:

Equivalent combination of education and experience is considered.

  • Bachelor’s Degree in Computer Science, Information Technology, or MIS.
  • Minimum of twelve (12) – fifteen (15) years or more of in data and/or applications management, including creating partnerships to drive data governance and quality, with five (5) years in a Director role or equivalent (i.e., leading a team, managing budgets, meeting deadlines, developing policies and guidelines, staff performance management)
  • Minimum of ten (10) years of broadly based, progressive information management and data strategy experience, preferably within Financial Services
  • Demonstrated experience building and leading enterprise data and analytics platforms, aligning stakeholders, and securing leadership support for strategic priorities.
  • Proven leadership and management skills, with the ability to set and execute a clear vision for an enterprise data delivery function.
  • Experience with modern, cloud-based platforms focused on security, privacy, and scalability, including leading modernization from legacy on-premises tools to cloud-enabled capabilities.
  • Experience with systems development, data visualization tools such as Tableau, and advanced analytics ecosystems.
  • Experience working with third-party delivery models, including offshore and nearshore teams.
  • Ability to effectively manage resources, priorities, and projects while balancing strategic priorities with day-to-day operational execution.
  • Hands-on knowledge of data management, analytics platforms, information management, quantitative methods, and IT security and infrastructure trends.
  • Strong influencing skills, with the ability to help senior leaders identify data-driven opportunities and use data to solve business challenges and drive outcomes.
  • Proven thought leadership in developing innovative tools, methodologies, and solutions, including cloud, big data, machine learning, and artificial intelligence.
  • Strong change management experience in complex organizations, with the interpersonal skills needed to drive alignment and adoption.
  • Exceptional analytical, written, verbal, presentation, and executive-level communication skills across multiple channels.
  • Experience using automation or A.I. tools preferred.

Supervisory Responsibility

  • This position will directly supervise employees
  • This position will also have matrix management supervisory responsibilities.
  • This position may manage contractual performance of 3rd party resources.

Licenses and Certifications

There are no additional certifications required.
 

Work Environment

While performing the duties of this job, the employee is regularly exposed to an indoor office setting with moderate noise.

*Most roles require working in an office setting with moderate noise and the ability to lift 25 pounds.*

Travel

Ability to travel to various worksites and be on-call may be required.

Pay Transparency 
The anticipated starting salary range for this role is $152,200.00 - $345,242.00
This position is eligible for an organizational performance based annual bonus, subject to board discretion and approval.
This position is eligible for an individual performance based annual bonus.

#LI-Hybrid

Education:UNAVAILABLEEmployment Type: FULL_TIME


What PenFed Credit Union employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom