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National Association of REALTORS® · 1 day ago

Director, Data Science and Analytics

Chicago, IL

Full-time

Hybrid

Director/Executive

$180K/yr - $215K/yr

15+ years exp

The National Association of REALTORS® (NAR) is seeking a highly motivated leader to drive their data science and analytics initiatives. This role focuses on leveraging advanced analytics and machine learning models to derive actionable insights and improve decision-making processes while leading end-to-end data science projects.

AssociationNon ProfitReal Estate

Comp. & Benefits

Responsibilities

Lead the strategic development and deployment of advanced analytics initiatives to support a large-scale membership base, spearheading collaborations and innovating products and services

Direct the implementation of advanced machine learning technologies to enhance analytics capabilities, enabling predictive service matching, boosting marketing precision, and improving member satisfaction

Develop sophisticated machine learning models to predict and identify at-risk members for proactive membership management and targeted intervention strategies

Advance the organization's data governance framework by implementing robust data stewardship programs, ensuring ongoing compliance with evolving regulations and maintaining data integrity

Develop and implement comprehensive data literacy training programs to improve digital proficiency across staff and members, fostering a culture of continuous learning

Orchestrate large-scale data quality initiatives to ensure the integrity of critical member data

Drive organizational innovation by championing the adoption of design thinking across departments, leading to systematic enhancements in project execution and product development processes

Proficient in designing and implementing scalable data pipelines, ensuring efficient data flow and integration across various platforms, while maintaining data quality and governance standards

Develop and manage cross-functional teams, fostering a collaborative environment for data science innovation and deployment

Lead and mentor a small team of data science professionals, fostering a collaborative and inclusive environment. Focus on team development through regular feedback, training, and career growth opportunities, while promoting a culture of innovation and continuous improvement

Expertise in managing Data Engineering teams, including overseeing personnel, ensuring project timelines are met, and fostering a collaborative and innovative work environment

While the primary focus is on data science and analytics, leverage AI technologies where applicable to enhance analytics capabilities and drive innovation

Other duties as assigned

Qualification

PythonSQLAzure Data LakeMachine LearningData GovernancePower BIData LiteracyStakeholder EngagementLeadershipCommunication

Required

Over 15 years of experience in building and scaling data science solutions, specializing in domain-specific use cases within complex, compliance-driven environments

Proven proficiency in Python and SQL for data analysis, modeling, and visualization

Hands-on experience with Microsoft Azure, including Azure Data Lake, Azure Data Factory, and Azure SQL

Experience with Microsoft Fabric, Power BI, and Copilot for Microsoft 365 to support analytics, reporting, and productivity

Experience with cloud-native data infrastructure and AI/ML tools, including predictive modeling, supervised and unsupervised learning, and model deployment pipelines

Proven expertise in translating data models into enterprise-ready applications through custom pipelines and structured engineering systems

Demonstrated success in leading end-to-end data science productization efforts, including solution architecture, evaluation frameworks, deployment, and continuous iteration

Strong leadership skills with experience managing cross-functional teams and mentoring data scientists and engineers

Proven ability to translate complex data models into enterprise-ready applications aligned with business goals

Deep understanding of data governance, privacy regulations, and ethical AI practices

Practical experience embedding governance, explainability, and safety into model development lifecycles, especially within regulated sectors

Extensive knowledge of regulated industry deployment and legal & policy alignment

Excellent communication skills with the ability to engage technical and non-technical stakeholders

Experience in developing and delivering data literacy programs and fostering a culture of continuous learning and innovation

Strong stakeholder engagement and customer enablement capabilities

15+ years of experience in building and scaling data science solutions, with a focus on domain-specific use cases in complex, compliance-driven environments

Bachelor's degree in Data Science, Computer Science, Engineering, or a related field required

Preferred

Advanced degree preferred

Benefits

Health/dental/vision insurance

Company

National Association of REALTORS®

The National Association of REALTORS® (NAR) is America’s largest trade association, representing more than 1.5 million members involved in all aspects of the residential and commercial real estate industries.

Founded in 1908

Chicago, Illinois, USA

201-500 employees