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Data Science Manager Jobs in Oregon (NOW HIRING)

Data Product Manager

OR ยท On-site +1

As a Data Product Manager , you will lead and inspire cross-functional teams in the creation and ... Work closely with data engineering, data science, data governance, and platform teams to develop ...

This is an exciting opportunity to apply machine learning, data science, and cheminformatics ... Collaborate closely with R&D scientists, chemists, process engineers, product managers, data ...

This is an exciting opportunity to apply machine learning, data science, and cheminformatics ... Collaborate closely with R&D scientists, chemists, process engineers, product managers, data ...

This is an exciting opportunity to apply machine learning, data science, and cheminformatics ... Collaborate closely with R&D scientists, chemists, process engineers, product managers, data ...

This is an exciting opportunity to apply machine learning, data science, and cheminformatics ... Collaborate closely with R&D scientists, chemists, process engineers, product managers, data ...

$35/hr

Develop, analyze and model operational, economic, management, accounting and other organizational ... The data science intern will help drive proactive and predictive insights that inform strategic ...

$35/hr

Develop, analyze and model operational, economic, management, accounting and other organizational ... The data science intern will help drive proactive and predictive insights that inform strategic ...

Showing results 21-40

Data Science Manager information

See Oregon salary details

$32.8K

$102.7K

$181.9K

How much do data science manager jobs pay per year?

As of Sep 13, 2026, the average yearly pay for data science manager in Oregon is $102,710.00, according to ZipRecruiter salary data. Most workers in this role earn between $69,800.00 and $132,700.00 per year, depending on experience, location, and employer.

What is a data science manager?

A Data Science Manager leads a team of data scientists to develop and implement data-driven solutions for business challenges. They oversee project timelines, ensure the quality of data analysis, and collaborate with cross-functional teams to drive decision-making. In addition to technical expertise, they require strong leadership, communication, and strategic thinking skills. Their role bridges the gap between data science initiatives and business objectives, ensuring the team's work aligns with company goals.

What does a data science manager do?

As a Data Science Manager, your daily responsibilities typically include overseeing a team of data scientists and analysts, setting project priorities, and ensuring the timely delivery of data-driven solutions. You will often collaborate with cross-functional teams, such as engineering, product, and business stakeholders, to define problems, scope solutions, and communicate analytical insights. Your role also involves mentoring team members, reviewing code and analysis, and driving best practices in data science methodologies. This position requires balancing technical project oversight with team leadership and strategic business alignment.

What skills and qualifications are needed to be a data science manager?

To thrive as a Data Science Manager, you need strong analytical skills, experience in machine learning and data analytics, and a background in statistics or computer science, often supported by an advanced degree. Familiarity with tools like Python, R, SQL, cloud platforms, and experience managing data science projects are highly valued, and certifications such as Certified Analytics Professional (CAP) can be advantageous. Excellent leadership, project management, and communication skills are crucial for guiding teams and translating technical findings for stakeholders. These abilities ensure effective team performance, successful project delivery, and the alignment of data science initiatives with organizational goals.

What is the role of a data science manager?

A data science manager oversees data science teams, guiding project priorities, setting strategic goals, and ensuring the effective use of data analysis and modeling techniques. They coordinate with stakeholders, manage resources, and often have expertise in programming, statistical methods, and data tools to support decision-making processes.

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 Data Science Manager jobs in Oregon?

For Data Science Manager jobs in Oregon, the most frequently searched job titles are:

What job categories do people searching Data Science Manager jobs in Oregon look for?

The top searched job categories for Data Science Manager jobs in Oregon are:

What cities in Oregon are hiring for Data Science Manager jobs?

Cities in Oregon with the most Data Science Manager job openings:

Infographic showing various Data Science Manager job openings in Oregon as of September 2026, with employment types broken down into 68% Full Time, 31% Part Time, and 1% Contract. Highlights an 86% Physical, 2% Hybrid, and 12% Remote job distribution, with an average salary of $102,710 per year, or $49.4 per hour.

Data Product Manager

OR โ€ข On-site, Remote

UMB Financial
Commercial Bankingย โ€ขย 1 - 5K employees

Full-time

Re-posted 18 days ago


Key responsibilities

  • Lead and collaborate with cross-functional teams to create and deliver data products that meet business needs.

  • Translate business requirements into detailed data, product specifications, and technical requirements, and develop a product roadmap.

  • Develop, maintain, and communicate the lifecycle, performance, and documentation of data products, including ensuring data quality, security, and compliance.


Job description

The Bank Products and Services groupprovides a bank-wide product and services framework that prioritizes client needs, resources and capital demands for creating growth, providing TUCE and introducing greater innovation and efficiencies into our solutions and operating model.

As a Data Product Manager, you will lead and inspire cross-functional teams in the creation and delivery of business-driving data products, fostering collaboration, innovation, and a commitment to excellence. You will also collaborate with business leaders, data owners, data stewards, product managers, solution architects, and business analysts to design high-impact data solutions. This is a subset of the overall responsibilities which involves other multiple initiatives as assigned by Bank Product leadership.

This role is hybrid (Mon through Thu on-site; Fri remote) for candidates in the Kansas City area and open to qualified remote candidates outside of the Kansas City area. However, the remote location must but within the US.

How you will spend your time:

  • Translate business requirements into detailed data, product specifications, and technical requirements.
  • Work closely with data engineering, data science, data governance, and platform teams to develop and launch data products.
  • Collaborate with Data Product Owner to define, articulate, and champion the vision, mission, and strategic roadmap for data products.
  • Assess complex business challenges, recommending leading practices to enhance and differentiate data products.
  • Develop and maintain a product roadmap that outlines the development and release schedule for data products, including managing backlog and assists with planning upcoming pipeline.
  • Prioritize features and enhancements based on customer feedback, market needs, and business goals.
  • Collaborate with a team to develop comprehensive documentation for data products, including user guides, technical specifications, and FAQs, including ensuring data mapping, lineage, definitions, and controls are documented in the data management tooling solution.
  • Co-develop data product lifecycle, from ideation and prototyping to testing, deployment, and support.
  • Understand the integration of data from various sources into data products.
  • Ensure products are scalable, reliable, secure, and compliant with industry standards and regulations.
  • Develop and monitor key performance indicators (KPIs) to measure product success and impact.
  • Analyze product performance data to identify areas for improvement and make recommendations for optimization.
  • Regularly communicate product updates, strategic vision, and performance metrics to stakeholders, ensuring alignment and transparency.
  • Convey complex technical concepts to non-technical stakeholders.
  • Help establish a culture of trust and accountability within the data product team and with other stakeholders, including working with the data product team to develop their skillset.

We're excited to talk if you have:

  • A Bachelor's Degree in Computer Science, Data Science, Management Information Systems, Business Administration or related discipline or equivalent work experience.
  • At least 6 years of experience in data governance, product management, business analysis, data engineering, data science or a related field with at least 3 years of experience specifically focused on data products or data-driven initiatives.
  • Experience working with multiple functional teams and engaging closely with the business.
  • Strong business presence, ability to lead cross-functional partners in all phases of projects and serve as the "go to" point person for business data needs.
  • Excellent analytical and quantitative skills and able to generate insights from data and translate it into actionable changes.
  • Strong leadership, communication, and interpersonal skills.
  • Exceptional organizational skills and pays keen attention to detail.
  • Strong ability to write, present, share ideas, and articulate concepts.
  • Designed and implemented frameworks, processes, and metrics for a data office/function within banking services.
  • Strong understanding of data technologies, integration, and architecture, including familiarity with cloud platforms (AWS, Azure), modern data platforms (Snowflake, Databricks), and data processing frameworks (Hadoop, Spark).
  • Experience with BI tools (PowerBI, Tableau) and data analytics, including data modeling, ETL processes, and SQL.
  • Knowledge in financial services process/workflow, including data management, card transactions, core banking deposits and customer processing, loan processing, payments, and fraud management.

Bonus Points if you have:

  • Experience with defining data risk and familiarity with financial services privacy and data risk standards.
  • Proficiency in utilizing Informatica data management tools and defining data concepts.
  • Ability to lead and capture business needs.
  • Experience advancing a bank's data product capabilities and developing a rollout plan.

Applicants must have legal authority to work in the United States. Work Visa sponsorship is not available for this position.


Compensation Ranges:

US Employees in California, Washington DC, New Jersey, and New York:

$100,710 - $157,630

US Employees in Colorado, Connecticut, Delaware, Illinois, Massachusetts, Maryland, Minnesota, Pennsylvania, Rhode Island, Texas, Washington, and Wisconsin:

$91,950 - $144,320

US Employees in all other states not listed above:

$83,200 - $131,000

The posted compensation range on this listing represents UMB's good faith and reasonable estimate based on its budget and what it expects to be the starting pay for this role, but the actual compensation may vary by geographic location, experience level, and other job-related factors. Please see the description of benefits included with this job posting for additional information.

UMB offers competitive and varied benefits to eligible associates, such as Paid Time Off; a 401(k) matching program; annual incentive pay; paid holidays; a comprehensive company sponsored benefit plan including medical, dental, vision, and other insurance coverage; health savings, flexible spending, and dependent care accounts; adoption assistance; an employee assistance program; fitness reimbursement; tuition reimbursement; an associate wellbeing program; an associate emergency fund; and various associate banking benefits. Benefit offerings and eligibility requirements vary.

Are you ready to be part of something more?
You're more than a means to an end-a way to help us meet the bottom line. UMB isn't comprised of workers, but of people who care about their work, one another, and their community. Expect more than the status quo. At UMB, you can expect more heart. You'll be valued for exactly who you are and encouraged to support causes you care about. Expect more trust. We want you to do the right thing, no matter what. And, expect more opportunities. UMBers are known for having multiple careers here and having their voices heard.


UMB and its affiliates are committed to inclusion and diversity and provide employment opportunities to all employees and applicants for employment without regard to race, color, religion, sex (including gender, pregnancy, sexual orientation, and gender identity), national origin, age, disability, military service, veteran status, genetic information, or any other status protected by applicable federal, state, or local law. If you need accommodation for any part of the employment process because of a disability, please send an e-mail to talentacquisition@umb.com to let us know the nature of your request.


If you are a California resident, please visit our Privacy Notice for California Job Candidates to understand how we collect and use your personal information when you apply for employment with UMB.


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