Lead and scale our Analytics and Data Science functions within the Data organization
Empower high-performing teams across Business Intelligence, Analytics, and Data Science to deliver insights that drive measurable business outcomes
Partner closely with Data Engineering, Product, and Business leaders
Embed data-driven decision-making into the core of the enterprise
Define and articulate the technical and strategic vision for Analytics and Data Science
Oversee the development and deployment of advanced analytics, predictive models, experimentation frameworks, and business intelligence solutions
Lead, mentor, and develop Analytics and Data Science leaders
Ensure transparency in priorities, progress, and outcomes
Establish and uphold high standards for analytics quality, governance, KPIs, best practices, and service-level expectations

Requirements

8+ years of experience in Data Analytics, Business Intelligence, or Applied Data Science
5+ years leading multiple teams
Bachelor’s or Master’s degree in a quantitative field (e.g., Statistics, Computer Science, Economics, Mathematics, Engineering)
Proven experience defining and executing analytics strategies aligned to business priorities
Demonstrated success recruiting, mentoring, and developing high-performing Analytics and Data Science teams
Experience working with Data Engineering teams in cloud environments (AWS, Azure, or GCP) and cloud-based analytical databases (e.g., Redshift, BigQuery, SQL Server)
Industry experience in Real Estate, Financial Services, or Capital Markets preferred
Deep expertise in statistical analysis, machine learning, and data modeling
Strong proficiency in business intelligence tools (e.g., Power BI, Tableau)
Advanced knowledge of SQL, Python, and end-to-end analytics workflows
Demonstrated ability to lead strategic analytics initiatives that deliver measurable business improvements
Experience operating effectively within both fast-moving teams and large, complex organizations
Working knowledge of Data Governance, Data Quality Management, and Machine Learning lifecycle management standards
Ability to leverage AI tools to enhance technical documentation, software development, and testing processes

Benefits

Up to 83% subsidized medical payroll deductions
Competitive dental and vision benefits
401(k) + match
Pre-tax transit and commuting benefits
A robust health and wellness program – earn cash rewards and gain access to resources that promote health, engagement, and balance
Paid maternity and parental leave, as well as other family paid leave programs
Company-paid life, short and long-term disability insurance
Health Savings Account and Healthcare and Dependent Care Flexible Spending
Career development opportunities
Empowerment and encouragement to give back – volunteer hours and donation matching

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

Data AnalyticsBusiness IntelligenceApplied Data ScienceStatistical AnalysisMachine LearningData ModelingSQLPythonAnalytics WorkflowsPredictive Models

Soft Skills

LeadershipMentoringTeam DevelopmentStrategic VisionCommunicationCollaborationTransparencyDecision-MakingRecruitingProblem-Solving