ZipRecruiter

Log In

1

Director Model Validation Jobs in Renton, WA (NOW HIRING)

Metropolis

Director, Business Intelligence

Seattle, WA · On-site

Who you are Metropolis is seeking a Director, Business Intelligence - Finance to own the vision ... Analytical depth and quantitative rigor in model validation, forecasting accuracy, statistical ...

Metropolis

Director, Business Intelligence

Seattle, WA · On-site

Who you are Metropolis is seeking a Director, Business Intelligence - Finance to own the vision ... Analytical depth and quantitative rigor in model validation, forecasting accuracy, statistical ...

Socket.dev

Director, Business Intelligence

Seattle, WA · On-site

$190 - $260/hr

Who you are Metropolis is seeking a Director, Business Intelligence - Finance to own the vision ... Analytical depth and quantitative rigor in model validation, forecasting accuracy, statistical ...

Sidram Technologies

Data Scientist

Seattle, WA · On-site

... Direct client. Kindly have a look at JD below and let me know your interest. Title: Sr Data ... Own model validation, threshold tuning, false positive reduction, and ongoing performance ...

Microsoft

Director, Business Planning

Redmond, WA · On-site

This includes defining the strategy for Microsoft's commerce experiences, channel business models ... and validate business cases. * Bring strategy to life through roadmap development, change ...

Blue Origin

Sr.Thermal Engineer-Radiator

Seattle, WA

Directing the thermal analysisand collaborating with the seniorstructural analyst, and design for ... Familiarity with Thermal Desktop and Sinda/Fluint, including model validation and test correlation

next page

Showing results 1-20

All JobsModel Validation JobsDirector Model Validation JobsDirector Model Validation Jobs in Renton, WA

Director Model Validation information

See Renton, WA salary details

$8

$24

$37

How much do director model validation jobs pay per hour?

As of Aug 7, 2026, the average hourly pay for director model validation in Renton, WA is $24.14, according to ZipRecruiter salary data. Most workers in this role earn between $19.76 and $27.02 per hour, depending on experience, location, and employer.

What is the difference between Director Model Validation vs Model Validation Analyst?

AspectDirector Model ValidationModel Validation Analyst
CredentialsAdvanced degrees (e.g., Master’s, PhD), professional certifications (e.g., CFA, FRM)Bachelor’s or Master’s degree, relevant certifications often preferred
Work EnvironmentLeadership roles overseeing teams, strategic planning, cross-department collaborationHands-on analysis, testing models, preparing reports
Industry UsageSenior-level positions in banking, finance, risk managementEntry to mid-level roles supporting validation processes

The main difference is that the Director Model Validation leads and manages validation teams, focusing on strategy and oversight, while the Model Validation Analyst performs detailed testing and analysis under supervision. The director role requires more experience, leadership skills, and higher credentials, whereas the analyst role is more technical and execution-focused.

What job categories do people searching Director Model Validation jobs in Renton, WA look for? The top searched job categories for Director Model Validation jobs in Renton, WA are:
Director Model Validation jobs near you

Director, Business Intelligence

Metropolis

Seattle, WA • On-site

Full-time

Medical, Life, Retirement

Posted 16 days ago

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.

Apply