VP, Analytics, Data Science & AI Data Enablement

This is a fully remote position, open to applicants in United States.

📋 Description

• Develop a vision and phased roadmap for business intelligence, analytics, data science, and AI-driven analysis.

• Create an operational model for collaboration with business divisions to deliver high-impact analytics solutions.

• Set standards for analytical excellence, KPIs, business metrics, and consistent reporting.

• Enhance the speed and quality of analytics delivery through performance objectives, measurement, and ongoing improvement.

• Supervise business intelligence solutions, advanced analytics, and predictive models that support capital markets, credit risk, servicing, sales, and other areas.

• Update reporting and analytics by shifting from legacy systems to scalable, governed BI solutions.

• Empower business users to perform AI-assisted analysis utilizing managed data.

• Collaborate with Product, Engineering, AI Enablement, and Data Engineering teams to incorporate analytics into workflows.

• Establish practices for testing, validation, and monitoring of analytical and machine learning models.

• Drive shared business definitions, metrics, and semantic frameworks.

• Ensure business context and data definitions are available to analysts, business users, and AI tools.

• Sustain data structures, knowledge resources, and retrieval methods for AI-assisted analysis.

• Broaden data definitions and analytical capabilities based on business priorities and needs.

• Lead, mentor, and develop analytics and data science leaders and teams.

• Oversee technical aspects of analytical models, queries, dashboards, and methodologies.

• Maintain dependable shared datasets and support data infrastructure for analytics and AI applications.

• Communicate analytics strategy, progress, performance, and business outcomes to executive leadership and stakeholders.

• Execute additional tasks as assigned.

⛳️ Requirements

• Bachelor's degree in Data Science, Statistics, Mathematics, Computer Science, Engineering, or a related quantitative discipline is required; a master's degree is preferred.

• Over 12 years of experience in data analytics, business intelligence, applied data science, or a similar field.

• At least 7 years of experience in leading multiple teams.

• Proven experience in developing and executing analytics strategies that align with business priorities and deliver measurable organizational outcomes.

• Demonstrated success in enhancing analytics delivery, operational efficiency, and analytical quality.

• Experience in implementing machine learning models, predictive analytics, and AI-assisted analysis in production settings.

• Proven track record in recruiting, developing, and retaining high-performing analytics and data science teams.

• Familiarity with cloud data platforms, preferably AWS, and cloud analytical databases such as Amazon Redshift or Snowflake.

• Background in commercial real estate, financial services, or capital markets is preferred.

• Strong expertise in statistical analysis, machine learning, and data modeling.

• Proficient in Power BI or Tableau, SQL, and Python.

• Practical understanding of contemporary AI analysis tools and responsible implementation practices.

• In-depth knowledge of data governance, data quality, access controls, and analytical standards.

• Understanding of semantic layers, metric definitions, and business context.

• Ability to convert business priorities into actionable analytics initiatives.

• Exceptional written and verbal communication skills.

• Strong leadership and relationship management abilities.

• Capacity to balance strategic planning, technical oversight, operational priorities, and timely execution.

• Demonstrates strong ownership, accountability, and a results-oriented mindset.

• Willingness to tackle challenges, recognize growth opportunities, and show patience when learning new processes.

• Approach colleagues and stakeholders with courtesy, respect, and thoughtfulness.

🏝️ Benefits

• Comprehensive benefit options.

• Up to 83% subsidized medical payroll deductions.

• Competitive dental and vision benefits.

• 401(k) with matching contributions.

• Pre-tax transit and commuting benefits.

• Health and wellness program offering cash rewards and resources for health, engagement, and balance.

• Paid maternity and parental leave.

• Additional family paid leave programs.

• Company-paid life insurance, short-term disability, and long-term disability insurance.

• Health Savings Account.

• Flexible Spending Accounts for healthcare and dependent care.

• Opportunities for career development.

• Volunteer hours and donation matching programs.

• Opportunity to join one of Fortune Magazine’s Great Places to Work winners.