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Remote Data Analytics Manager Jobs in Renton, WA

Sr. Product Manager, Enterprise AI

Seattle, WA · Remote

$144K - $190K/yr

This is a remote opportunity, but applicants must reside in the greater Seattle area. ESSENTIAL ... Experience building and delivering machine learning, business intelligence, or data analytics ...

Remote Job Overview We are seeking experienced Pharmacovigilance Experts to contribute their drug ... Aggregate Safety Data Analysis * Signal Management * Benefit-Risk Assessment * MedDRA Coding

Data Governance & Quality Consultant Seattle, WA / Remote We are seeking a Data Governance ... Advanced workflow automation, blending, and metadata management (Designer/Server/Connect)

Remote Job Overview We are seeking experienced Pharmacovigilance Experts to contribute their drug ... Aggregate Safety Data Analysis * Signal Management * Benefit-Risk Assessment * MedDRA Coding

IP data should be accurate, accessible, and reliable. Today, organizations around the world - from ... Thrives in a Fully Remote Company * Work autonomously with high accountability * Manage priorities ...

... data analysis and AI training and inference. Designed from the ground up to make AI simple to ... We're a growing global team and a fully remote company. * Highly organized. We track everything in ...

Remote Job Type: Contractor Pay: $60-$65/hour Job Overview We are looking for an experienced ... Analyze and validate clinical trial data. * Review and interpret Statistical Analysis Plans (SAPs)

Remote Job Type: Contractor Pay: $60-$65/hour Job Overview We are looking for an experienced ... Analyze and validate clinical trial data. * Review and interpret Statistical Analysis Plans (SAPs)

Analysis Manager

Seattle, WA · On-site +1

$175K - $225K/yr

Analysis Manager Zeno is seeking a highly motivated Analysis Manager to lead a multidisciplinary ... remote work is optional on Mondays and Fridays * Travel: Travel is required, * Motor Abilities:

The Director II, Data Science is a frontline manager role reporting to the Specialty Senior ... role is remote with occasional travel.** Qualifications Deep knowledge of predictive analytic ...

Showing results 41-60

Remote Data Analytics Manager information

See Renton, WA salary details

$34.9K

$109.3K

$193.5K

How much do remote data analytics manager jobs pay per year?

As of Aug 22, 2026, the average yearly pay for remote data analytics manager in Renton, WA is $109,271.00, according to ZipRecruiter salary data. Most workers in this role earn between $74,200.00 and $141,200.00 per year, depending on experience, location, and employer.

What does a remote data analytics manager do?

A Remote Data Analytics Manager oversees a team of data analysts and manages data projects from a remote location. They are responsible for collecting, analyzing, and interpreting complex data to help organizations make informed business decisions. This role involves collaborating with various departments, setting analytics strategies, ensuring data quality, and presenting actionable insights to stakeholders. Remote Data Analytics Managers use a variety of tools and platforms to facilitate teamwork and maintain clear communication despite not being physically present in the office.

What are the key skills and qualifications needed to thrive as a remote data analytics manager?

To thrive as a Remote Data Analytics Manager, you need strong analytical skills, expertise in statistics, and a solid background in data management, typically supported by a degree in a quantitative field and experience in analytics leadership. Proficiency with data visualization tools (like Tableau or Power BI), SQL, and data analytics platforms, along with certifications such as Certified Analytics Professional (CAP), is highly beneficial. Excellent communication, leadership, and problem-solving skills help you effectively manage remote teams and translate complex data insights into actionable business strategies. These skills ensure data-driven decision-making, team productivity, and successful project outcomes in a virtual environment.

What are some common challenges faced by remote data analytics managers, and how can they be addressed?

Remote Data Analytics Managers often encounter challenges related to team communication and project coordination due to different time zones and limited face-to-face interaction. To address these issues, it’s important to establish clear communication protocols, use collaborative project management tools, and schedule regular check-ins to ensure alignment. Additionally, fostering a culture of transparency and encouraging proactive sharing of information helps keep all team members engaged and informed. By prioritizing these practices, remote managers can effectively lead their teams and maintain productivity.

What is the difference between Remote Data Analytics Manager vs Remote Data Analyst?

AspectRemote Data Analytics ManagerRemote Data Analyst
Required CredentialsBachelor's or Master's in Data Science, Analytics, or related field; leadership experienceBachelor's in Data Science, Statistics, or related field; technical skills
Work EnvironmentOversees teams, manages projects, strategic planningPerforms data analysis, reports, data cleaning
Employer & Industry UsageTech companies, finance, healthcare, retailSame industries, often entry to mid-level roles

The Remote Data Analytics Manager focuses on leading teams and strategic oversight, while the Remote Data Analyst handles data processing and reporting tasks. Both roles require strong analytical skills, but the manager position emphasizes leadership and project management, making it suitable for those with experience in team coordination and strategic planning.

What are popular job titles related to Remote Data Analytics Manager jobs in Renton, WA?

For Remote Data Analytics Manager jobs in Renton, WA, the most frequently searched job titles are:

What job categories do people searching Remote Data Analytics Manager jobs in Renton, WA look for?

The top searched job categories for Remote Data Analytics Manager jobs in Renton, WA are:

Infographic showing various Remote Data Analytics Manager job openings in Renton, WA as of August 2026, with employment types broken down into 88% Full Time, 11% Part Time, and 1% Contract. Highlights an 84% Physical, 3% Hybrid, and 13% Remote job distribution, with an average salary of $109,271 per year, or $52.5 per hour.

Sr. Product Manager, Enterprise AI

TrueBlue, Inc.

Seattle, WA • Remote

$144K - $190K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 23 days ago


Job description

Overview:

PeopleReady is expanding its BI, ML, and AI capabilities to help achieve the organization's long-term objectives. We're looking for an experienced Sr. Product Manager to help build and manage our AI Service offerings. You will act as the conduit between the business and technology teams, balancing strategic priorities with system stability and defining complex data-related requirements. You'll be the champion of product-led AI, including large language model (LLM) and Data Science/Machine Learning applications, the platforms and APIs that deliver them, and our Data Analytics and Business Intelligence initiatives. 

If you have the drive to build incredible, data and insights-driven products that impact the lives of our customers and associates daily, this would be the optimum role for you.

Location: This is a remote opportunity, but applicants must reside in the greater Seattle area.

ESSENTIAL DUTIES and RESPONSIBILITIES 

Include the following. Other duties may be assigned.

  • Build vision and strategy. Act as a Data, BI, and AI product evangelist to build awareness and drive a step-change in how our company uses AI-driven initiatives to make decisions. Define the BI/AI-related product strategy to decrease time to insight.
  • Identify, prioritize, and define product needs. You'll synthesize inputs from internal stakeholders, users, and competitors into prioritized roadmap investments and write product briefs to frame these for our technology teams. 
  • Oversee roadmap execution. As a Product Manager, you're the voice of our business for our technical product owners and Agile Scrum teams. Throughout the PDLC, you'll navigate prioritization trade-offs to bring the most value to our customers, workers, and business, ensuring we drive towards our strategic goals.
  • Measure and learn. You'll determine and track product health and business metrics to test hypotheses and identify improvement opportunities. For ML and LLM features, that includes model-quality and evaluation metrics - accuracy, latency, cost, and the safeguards needed for non-deterministic systems.
  • Collaborate and communicate. This is a highly collaborative role. You'll work closely with technical product owners and developers to define product functionality and consult and inform stakeholders from across the organization. You'll work very closely with the other Product Managers in and outside the BI team to create and deliver on co-dependent roadmaps.
  • Own the AI platform and APIs. Define the product strategy for the shared services, APIs, and model-delivery platform that put ML and LLM capabilities into the hands of internal teams and applications, balancing reusability, performance, and cost.
  • Help shape a brand-new organization. You'll be on the ground floor of some exciting business improvements and will help shape our path to success.
  • Reimagine the way people connect people to work.

EDUCATION and EXPERIENCE 

  • 3+ years of product management or similar experience with Machine Learning, Business Intelligence, and Analytics offerings, including hands-on exposure to AI/ML platforms or LLM-powered products. Academic background in product management will be considered.
  • Experience building and delivering machine learning, business intelligence, or data analytics offerings from the ground up.

CORE KNOWLEDGE and SKILLS

  • Demonstrated ability to think globally and strategically and frame new and complex issues, recommend strategic choices, and focus the organization on the most critical and value-added activities.
  • Excellent leadership skills, with a team-player attitude to drive the end-to-end solution of use cases under time pressure
  • Strong communications skills and ability to break down complex information into relevant, digestible points for colleagues and executives.
  • Strong analytical, problem-solving, and product management skills.
  • Entrepreneurial self-starter excited to shape new solutions.
  • Undergraduate degree in engineering or quantitative analysis and demonstrated experience in technical creativity, planning, and communications is valuable.  An advanced degree in business administration, statistics, or similar quantitative fields is preferred. 
  • Preferred skills:
    • Previous experience in building pricing-related solutions
    • Previous experience in staffing or similar industry 
    • Working knowledge of common machine learning models, large language models (LLMs) and generative-AI tooling (e.g., prompt engineering, retrieval-augmented generation), and data engineering and analysis tools such as Python, Spark, data visualization, and business intelligence
    • Working knowledge of Cloud Native database technologies such as those in the AWS product offering - Amazon Quicksight, PostgreSQL
    • Familiarity with productizing AI platforms - APIs, shared services, MLOps/LLMOps pipelines, and the build-vs-buy tradeoffs around model hosting and vendor models

TECHNICAL KNOWLEDGE EXPECTATIONS 

  • Ability to read and validate SQL queries and basic data models well enough to assess feasibility and translate requirements for engineering
  • Working understanding of the ML/LLM development lifecycle - data collection, model training/fine-tuning, evaluation, deployment, and monitoring
  • Familiarity with API design principles and RESTful/GraphQL services sufficient to scope platform and integration requirements
  • Working knowledge of data architecture concepts, including data warehousing, ETL/ELT pipelines, and data governance practices
  • Comfort evaluating technical trade-offs (build vs. buy, latency vs. cost, accuracy vs. interpretability) in partnership with business, engineering, and data science
  • Ability to review technical documentation, architecture diagrams, and API specifications directly, without requiring translation from engineering

PREFERRED CERTIFICATIONS

  • AWS Certified Machine Learning - Specialty, AWS Certified Data Analytics - Specialty, or an equivalent cloud/ML certification
  • Certified Scrum Product Owner (CSPO) or a comparable Agile/Scrum product certification
  • Product management certification from a recognized program (e.g., Pragmatic Institute, Product School, AIPMM)

SUPERVISORY RESPONSIBILITIES

This position will not have any direct supervisory responsibilities.

Salary Range: $122,400 - $153,000 annually, depending on experience and geographic location.
Please note that actual compensation offered may vary based on local pay requirements, and will meet or exceed state-specific minimum wage or salary thresholds.

Benefits and Well-Being:

We offer a competitive benefits package, including 6 paid holidays, 1 paid floating holiday and up to 20 days of Paid Time Off per year, Medical/Dental/Vision insurance, Company-matching 401(k) and Employee Stock Purchase Program, in addition to other programs and perks. More details about our benefits can be found here.

We consider qualified applicants with arrest and conviction records in accordance with applicable law.

TrueBlue, Inc. and its brands welcome and encourage applications from candidates with disabilities. Accommodations are available upon request for candidates taking part in the application or interview process. If you require disability-related accommodation during the application or interview process, please contact your Recruiter directly, Employee Relations at HR-Advice@trueblue.com, or 1-800-610-8920. TrueBlue, Inc. and its brands will consult with all applicants who request disability-related accommodation during the application or interview process to ensure that the accommodation provided takes into account the applicant's individual accessibility needs.

We are an equal opportunity employer, and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veteran status, sexual orientation, gender identity, or any other characteristic protected by law.

Since opening our first office over 30 years ago, TrueBlue has been dedicated to connecting people and work, changing lives, transforming businesses, and benefiting communities around the world. . Whether serving a small business on Main Street or a Fortune 500 company, we work hard to find the talent they need to succeed. Our well-known, established brands - PeopleReady, PeopleManagement (SIMOS, StaffManagement, and Centerline Drivers), and PeopleScout, each have a unique focus to serve our customers' varied needs.

As the world of work changes, so does TrueBlue. We are well-positioned with tremendous strengths and assets, including a unique combination of strong and established brands, proprietary technology, an expansive geographic presence, and a passionate team serving our customers every day.

TrueBlue is The People Company, and our shared values guide our success. We are Optimistic, believing in solutions through innovation and collaboration; Passionate, dedicated to making a positive impact; Accountable, empowering people to take responsibility; Respectful, valuing diverse views and teamwork; and True to who we are and to the needs of our clients. We are committed to making a lasting impact as we continue to adapt to the changing world of work.