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Data Manager Jobs in Bothell, WA (NOW HIRING)

What you'll do Data Science Managers at Stripe are responsible for the success of their team. You'll be deeply involved in the modeling and design processes as well as coaching, mentoring, and ...

As a Data and Analytics Manager, you will be responsible for architecting data and analytics solutions and leading teams to implement these solutions. You should have deep technical expertise and the ...

Data Science Manager - TikTok Ads

Seattle, WA · On-site

$242.06K - $401.28K/yr

Conduct analysis that includes data gathering and requirements specification, processing, analysis, ongoing deliverables, and presentations. 2. Build and manage high performance, responsive team of ...

Clinical Data Associate

Redmond, WA · On-site

$75K - $95K/yr

The Clinical Data Associate (CDA) supports the Clinical Data Manager in executing data management activities across clinical trials, with a primary focus on Phase 3 and other large-scale studies. The ...

Clinical Data Associate

Redmond, WA · On-site

$75K - $95K/yr

The Clinical Data Associate (CDA) supports the Clinical Data Manager in executing data management activities across clinical trials, with a primary focus on Phase 3 and other large-scale studies. The ...

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Data Manager information

See Bothell, WA salary details

$35.2K

$110.4K

$195.5K

How much do data manager jobs pay per year?

As of May 31, 2026, the average yearly pay for data manager in Bothell, WA is $110,429.00, according to ZipRecruiter salary data. Most workers in this role earn between $75,000.00 and $142,700.00 per year, depending on experience, location, and employer.

What Is a Data Manager?

A data manager is responsible for creating and managing databases that meet the specific needs of a company or organization. As a data manager, your job duties include assessing customer database requirements, modifying the structure of existing databases, and handling the backup and recovery of older systems. You should have experience working with many database system varieties and large volumes of customer records. You can find data manager positions in a wide range of industries.

What are the key skills and qualifications needed to thrive as a Data Manager, and why are they important?

To thrive as a Data Manager, you need expertise in data management principles, database administration, and data governance, often supported by a bachelor's degree in computer science or a related field. Familiarity with SQL, data warehousing tools, data visualization platforms, and certifications like CDMP or DAMA are typically required. Strong analytical thinking, attention to detail, and effective communication are essential soft skills for ensuring data integrity and collaborating with stakeholders. These skills and qualifications are crucial for maintaining secure, accurate data systems and supporting informed business decisions.

How does a Data Manager typically collaborate with other departments to ensure data integrity?

As a Data Manager, collaboration with various departments—such as IT, analytics, and operations—is essential to maintain data integrity and consistency. You’ll regularly coordinate with these teams to establish data governance protocols, resolve discrepancies, and ensure that data collection and storage meet organizational standards. Open communication and regular meetings help address data quality issues and align data management practices across the organization. This cross-functional work not only supports accurate reporting but also drives better decision-making company-wide.

What is the difference between Data Manager vs Data Analyst?

AspectData ManagerData Analyst
Required CredentialsBachelor's degree in IT, Computer Science, or related field; certifications like CDMP or DAMA often preferredBachelor's degree in Statistics, Mathematics, or related field; certifications like CAP or Microsoft Data Analyst are common
Work EnvironmentTypically manages data systems, databases, and teams; works in IT or data departmentsAnalyzes data sets, creates reports, and visualizations; often works in business or analytics teams
Employer & Industry UsageUsed across industries like healthcare, finance, and tech for data governance and managementCommon in marketing, finance, and consulting for insights and decision-making

While both roles involve working with data, Data Managers focus on overseeing data systems and ensuring data quality, whereas Data Analysts interpret data to generate insights. Understanding these differences helps in choosing the right career path or job search focus.

What are the most commonly searched types of Data jobs in Bothell, WA? The most popular types of Data jobs in Bothell, WA are:
What job categories do people searching Data Manager jobs in Bothell, WA look for? The top searched job categories for Data Manager jobs in Bothell, WA are:
What cities near Bothell, WA are hiring for Data Manager jobs? Cities near Bothell, WA with the most Data Manager job openings:
Infographic showing various Data Manager job openings in Bothell, WA as of May 2026, with employment types broken down into 1% As Needed, 84% Full Time, 12% Part Time, 1% Temporary, and 2% Contract. Highlights an 85% Physical, 3% Hybrid, and 12% Remote job distribution, with an average salary of $110,429 per year, or $53.1 per hour.
Manager of Data Science

Full-time

Posted 25 days ago


Job description

Providence is proud to be an Equal Opportunity Employer. We are committed to the principle that every workforce member has the right to work in surroundings that are free from all forms of unlawful discrimination and harassment on the basis of race, color, gender, disability, veteran, military status, religion, age, creed, national origin, sexual identity or expression, sexual orientation, marital status, genetic information, or any other basis prohibited by local, state, or federal law. We believe diversity makes us stronger, so we are dedicated to shaping an inclusive workforce, learning from each other, and creating equal opportunities for advancement. For more information about our Diversity, Equity and Inclusion policy, click here.
This is a remote role. We would prefer that the successful candidate located in the Seattle area within the PST/MST time zones.
Providence is one of the largest not-for-profit health systems in the United States.
At Providence, we use our voice to advocate for vulnerable populations and health care reforms. We pursue innovative ways to transform health care by keeping people healthy, and making our services more convenient, accessible and affordable for all. In an increasingly uncertain world, we are committed to high-quality, compassionate health care for everyone-regardless of coverage or ability to pay. We help people and communities benefit from the best health care model for the future, today.
The Digital Innovation Group (DIG) at Providence is a small but mighty product development and incubation team. We build next-gen tools that give patients convenient and easy access to health care anywhere, anytime.
DIG is both a healthcare startup and a technology/product incubator. Our team gathers market data on effective solutions in the health care space and then builds out a product line with the latest and greatest technology. When market maturity hits, DIG enables the product to spin out as its own company. It is a unique mix of venture capitalists, digital strategists, marketing acumen, product development and engineering all in one group nestled inside one of the largest health systems. We set the pace for other health care organizations around the country on how to conceive, engineer and launch effective health care solutions.
Recently funded DIG startups include DexCare and Praia Health.
Success in this role means you can join future funded startups on the ground floor.
Job Summary:
Are you an experienced Data Scientist who wants to lead a new analytics program focused on helping patients effectively navigate their care through a seamless digital experience?
As a Data Science Manager, you will lead a team of data scientists in helping the Digital Innovation Group understand the patient's digital journey and how our products are impacting their health outcomes and the performance of our healthcare system.
We need a talented data science leader to apply rigorous hypothesis testing, statistical modeling, machine learning, predictive analytics and working with LLMs to inform the acquisition, personalization and retention strategies for our products. Your team will be responsible for building churn, retention and LTV models for our Providence App as well as developing the next best action recommendation model personalizing content by patient cohorts. Your team's work will contribute directly to the success of growing, maintaining and improving health outcomes of our patients utilizing digital products developed by DIG.
You will be expected to work with analytics and product leaders to understand their top priorities to set the strategic direction of your data science projects. You will be a player/coach on the team, helping define the team's roadmap, ways of working (process management) and provide technical guidance and oversight.
The Data Science Manager will play a critical role in leading the data driven approach to incubation and commercialization of our product portfolio helping Providence innovate in healthcare technology affecting millions of patients' health outcomes.
Required Qualifications:
  • Bachelor's Degree Data Science, Computer Science, Statistics, Economics, Mathematics Or equivalent educ/experience
  • 6 years of experience in data analysis, advanced statistical analysis, predictive analytics, with hands on experience in data mining, machine learning and predictive modeling.
  • 4 years Leadership experience.

Preferred Qualifications:
  • Master's Degree Data Science, Computer Science, Statistics, Economics, Mathematics Or equivalent educ/experience
  • Coursework/Training Data science or project management
  • 1 year Experience in the Healthcare field.
  • 1 year Experience in project management.
  • Certifications in data science, project management or related fields (e.g., Certified Analytics Professional (CAP), Certified Data Management Professional (CDMP), or specific vendor certifications like Microsoft Certified: Azure Data Scientist Associate.)