Top 29 Director business intelligence Jobs in Seattle, Wa

Director, Business Intelligence
Metropolis —Seattle, WA
- $190,000 - $260,000 a year
- Oracle
- Management
- Computer Science
- Disability insurance
- Health insurance
Quick Apply
Director, Data Analytics - Inventory Operations - HYBRID
Nordstrom —Seattle, WA
- $160,000 - $250,000 a year
- Computer Science
- 8 years
- SQL
- Store discount
- Disability insurance
14d
Data Practice Lead
Robots and Pencils —Seattle, WA
- $200,000 - $300,000 a year
- Remote
- Background check
- 3 years
- Travel
- Health insurance
- Dental insurance
Quick Apply
Director, AI & Tooling
Salesforce —Bellevue, WA
- $164,000 - $261,500 a year
- Full-time
- Data analysis skills
- Senior level
- Paid parental leave
- Disability insurance
7d
Data Science Director
Facebook App —Bellevue, WA
- $253,000 - $314,000 a year
- Computer science
- Computer Science
- Bachelor's degree
1d
Data Science Director (IC)
Meta —Bellevue, WA
- $253,000 - $314,000 a year
- Computer science
- Computer Science
- Master's degree
Director, Data Science
Chewy —Bellevue, WA
- $198,500 - $300,000 a year
- Full-time
- Math
- Doctor of Philosophy
- Mentoring
- Paid holidays
- Disability insurance
1d
Director, Data Science, Amazon Customer Service Network Solutions
Amazon.com Services LLC —Seattle, WA
- $250,000 - $338,200 a year
- Full-time
- Computer Science
- System design
- 11+ years
- AD&D insurance
- Health insurance
8d
Senior Manager, Merchandising Analytics
REI (Recreational Equipment Inc.) —Seattle, WA
- $125,300 - $212,900 a year
- Remote
- Merchandising
- Office
- Math
14d
Director of ERP Systems
WatchGuard Technologies, Inc. —Seattle, WA
- $195,000 - $205,000 a year
- Full-time
- Oracle
- System design
- Mentoring
- Paid parental leave
- Health savings account
Quick Apply
Sr Manager, Data Science & AI, R2L
Amazon.com Services LLC —Bellevue, WA
- $208,300 - $281,800 a year
- Full-time
- Computer Science
- Finance
- Master's degree
- AD&D insurance
- Health insurance
Director, Machine Learning Engineering
GEICO —Seattle, WA
- $150,000 - $300,000 a year
- Full-time
- System design
- Mentoring
- Senior level
Technology Director, Enterprise Data Platform
Lululemon —Seattle, WA
- $205,900 - $270,300 a year
- Full-time
- Computer science
- Computer Science
- 5 years
- Health insurance
- Dental insurance
Vice President, Engineering - Authentication
Okta —Bellevue, WA
- $310,000 - $426,800 a year
- Hybrid work
- Azure
- 3 years
- AWS
- Health insurance
- Dental insurance
Director, Software Engineering
DocuSign —Seattle, WA
- $202,100 - $299,625 a year
- Hybrid work
- Azure
- Computer Science
- System design
- Paid parental leave
- Paid holidays
Director, Data Science - Central Product Platform (CPP)
Meta —Bellevue, WA
- $253,000 - $314,000 a year
- Computer science
- Computer Science
- 11+ years
Director, Data Science
MCG Health —Seattle, WA
- $201,000 - $281,600 a year
- Hybrid work
- Azure
- Computer Science
- System design
- Paid parental leave
- Health savings account
Quick Apply
Director of Enablement Engineering - Technology, People, Innovation & Learning
Salesforce —Bellevue, WA
- $171,200 - $273,000 a year
- Full-time
- Salesforce
- Java
- Presentation skills
- Paid parental leave
- Disability insurance
Senior Manager of Data Engineering & Business Intelligence, Alexa Audio
Amazon.com Services LLC —Seattle, WA
- $202,300 - $273,700 a year
- Full-time
- Java
- 8 years
- Analysis skills
- AD&D insurance
- Health insurance
Data Services Specialist (E)
Edmonds Community College —Lynnwood, WA
- $107,220.81 - $116,455.15 a year
- Weekends as needed
- Background check
- Office
- 3 years
- Health insurance
- Dental insurance

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Director, Business Intelligence

Metropolis -
Seattle, WA

Quick Apply

Job Details

$190,000 - $260,000 a year

Benefits

Stock options
Disability insurance
Health insurance
401(k)
Life insurance

Qualifications

Machine learning/AI-based analysis
Management
Hypothesis testing
Data quality assurance
Managing IT teams
Managing data teams
Dynamic financial modeling
Data quality management
Team development
Machine intelligence
Data-driven problem-solving
Predictive analytics projects
Model evaluation

Full Job Description

Who we are

The real world is the next frontier, and at Metropolis, we are creating the artificial intelligence to make it responsive. We are pioneering the Recognition Economy — a future where mundane repetition disappears and being known unlocks access, comfort, and belonging everywhere you go. From transforming parking into a seamless drive-in, drive-out experience for millions of Members to expanding our intelligence layer across retail and hospitality, we are building a world that feels instinctive and magical. The future isn't coming; it's here, and we need builders, innovators, and problem solvers to help us create it.

Who you are

Metropolis is seeking a Director, Business Intelligence – Finance to own the vision, strategy, and execution of Metropolis's Business Intelligence function. You are an organizational architect with a track record of building high-performing, multi-disciplinary data teams from scratch — engineers, data scientists, and analysts — and shaping the data culture of the organizations you've led. You operate comfortably at the intersection of C-suite Finance strategy and hands-on quantitative analysis — translating the CFO's most pressing questions into a multi-year roadmap and the team to deliver it. You are a builder who thrives on complexity across systems, stakeholders, and business cycles, and who never loses sight of what matters most: trustworthy data and intelligence that drives better decisions, faster.

What you'll do

Own the Finance Business Intelligence strategy by setting the multi-year vision to build, govern, and scale the finance data environment from pipeline architecture to self-serve analytics and board-level reporting
Hire and develop the function's first BIEs, data scientists, and analysts, building toward a high-performing, multi-disciplinary team
Evolve Finance analytics from reporting to intelligence by developing predictive modeling, AI-powered anomaly detection, driver-based forecasting, and scenario simulation
Serve as the executive-level data partner to the Finance organization, translating strategic priorities into data infrastructure investments
Design and govern the intake, prioritization, and delivery framework for all Finance data work to operate as a high-velocity, trusted product team
Drive company-wide Finance data governance by establishing policies, standards, and ownership models that make metrics authoritative, discoverable, and auditable
Evaluate and select tools, platforms, and integrations for the Finance data stack in partnership with the CTO and Data Platform team

What we're looking for

10+ years in Data Engineering, Business Intelligence, Data Science, or Financial Technology, including 4+ years leading data teams and building organizations from the ground up, with a path to managing managers as the team scales
Track record of building and scaling a multi-disciplinary data function at a high-growth technology or operations-intensive company
Executive presence with fluent data storytelling skills to connect complex quantitative findings directly to business action
Technical foundation in the modern Finance data stack (Snowflake, dbt, Airflow, Spark, Looker/Tableau) and cloud platforms (AWS or GCP), alongside statistical modeling and predictive analytics fluency
Analytical depth and quantitative rigor in model validation, forecasting accuracy, statistical significance, and hypothesis-driven analysis
Proven ability to drive lasting data governance and quality programs across systems and business cycles
Track record of building AI/ML-augmented finance analytics including anomaly detection, intelligent forecasting, and automated variance analysis

While not required, these are a plus:

BS/BA degree in Computer Science, Mathematics, Statistics, Economics, or a related quantitative field; advanced degree (MBA, MS, or PhD) in a quantitative discipline
Experience with ERP/EPM and FP&A planning tools (Oracle, NetSuite, Workday, Anaplan, Adaptive Insights, or Pigment) in a large-scale transformation context; familiarity with scripting and statistical tools beyond SQL — Python, R, or SAS — and comfort evaluating data science work product from senior ICs
Fluency in core Finance processes (AP, AR, GL, revenue recognition, close cycles, FP&A) and experience translating strategic Finance priorities into multi-year data roadmaps; experience designing experimentation and measurement frameworks — defining how a team validates its models, tests financial assumptions, and measures forecast accuracy
Background in multi-vertical or multi-entity Finance environments (parking, aviation, retail, or similar operational businesses)
Track record of building AI/ML-augmented finance analytics — anomaly detection, intelligent forecasting, automated variance analysis

4 Days in Office: Metropolis values in-person collaboration to drive innovation, strengthen culture, and enhance the Member experience. Our corporate team members hold to our office-first model, which requires employees to be on-site at least four days a week, fostering organic interactions that spark creativity and connection

When you join Metropolis, you'll join a team of world-class product leaders and engineers, building an ecosystem of technologies at the intersection of parking, mobility, and real estate. Our goal is to build an inclusive culture where everyone has a voice and the best idea wins. You will play a key role in building and maintaining this culture as our organization grows. The anticipated base salary for this position is $190,000.00 USD to $260,000.00 USD annually. The actual base salary offered is determined by a number of variables, including, as appropriate, the applicant's qualifications for the position, years of relevant experience, distinctive skills, level of education attained, certifications or other professional licenses held, and the location of residence and/or place of employment. Base salary is one component of Metropolis' total compensation package, which may also include access to or eligibility for healthcare benefits, a 401(k) plan, short-term and long-term disability coverage, basic life insurance, a lucrative stock option plan, bonus plans, and more. #LI-NP1 #LI-Onsite

Metropolis may utilize an automated employment decision tool (AEDT) to assess or evaluate your candidacy for employment or promotion. AEDTs are used to assist in assessing a candidate's application relative to the required job qualifications and responsibilities listed in the job posting.

As part of this process, Metropolis retains data relevant to your candidacy, including personal information, for a period that is reasonably necessary for the use of the tool. If you are hired for the position, your data may become part of your employee records.

Metropolis Technologies is an equal opportunity employer. We make all hiring decisions based on merit, qualifications, and business needs, without regard to race, color, religion, sex (including gender identity, sexual orientation, or pregnancy), national origin, disability, veteran status, or any other protected characteristic under federal, state, or local law.

Quick Apply

Refine Your Search

director business intelligence jobs in seattle, wa

Director, Business Intelligence

Director, Data Analytics - Inventory Operations - HYBRID

Data Practice Lead

Director, AI & Tooling

Data Science Director

Data Science Director (IC)

Director, Data Science

Director, Data Science, Amazon Customer Service Network Solutions

Senior Manager, Merchandising Analytics

Director of ERP Systems

Sr Manager, Data Science & AI, R2L

Director, Machine Learning Engineering

Technology Director, Enterprise Data Platform

Vice President, Engineering - Authentication

Director, Software Engineering

Director, Data Science - Central Product Platform (CPP)

Director, Data Science

Director of Enablement Engineering - Technology, People, Innovation & Learning

Senior Manager of Data Engineering & Business Intelligence, Alexa Audio

Data Services Specialist (E)

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