Senior Director Data Science Financial Planning and Analysis

Essential Duties 
As a part of the Sunrise team, supporting our Mission, Principles of Service and Core Values is a fundamental part of this job. Our foundational belief is the sacred value of human life. Every year, team members are assigned required training that applies to their role to ensure that these standards are always met. The unique responsibilities for this role include but are not limited to the essential functions listed below:

Data Science and Advanced Analytics
•    Building and leading the data science and AI function that powers advanced analytics, predictive modeling, generative AI applications, and enterprise business intelligence
•    Establishing the vision, strategy, and roadmap for advanced analytics within FP&A
•    Develop and deploy predictive models for occupancy forecasting, revenue optimization, labor demand planning, and expense management
•    Design and implement machine learning solutions that improve forecast accuracy, identify operational risks, and surface growth opportunities
•    Create and maintain automated dashboards, scorecards, and reporting tools using Power BI, Python, or similar platforms to enable self-service analytics across the organization
•    Partner with IT, the CTO organization, and external vendors to architect and govern the data and AI infrastructure - including cloud-based analytics environments, MLOps pipelines, and model deployment frameworks
•    Establish data quality standards, responsible AI governance, and model risk management protocols - including bias mitigation, explainability, and compliance with applicable privacy regulations

Analytics Partnership and Organizational Enablement
•    Serve as the primary analytics partner to FP&A, Operations, Asset Management, and M&A, embedding data science into strategic and operational decision-making
•    Prepare data-driven narratives and analytical exhibits for Board presentations, investor reviews (Ventas, Brookfield), and regulatory reporting as in partnership with the VP, FP&A
•    Collaborate with Operations leadership to develop community-level performance benchmarks, peer-group analysis, and leading indicator frameworks
•    Support due diligence and underwriting activities with data-driven market analysis, competitive intelligence, and performance modeling
•    Lead the development of self-service analytics capabilities that empower business users across the organization to access and interpret data independently

Leadership and Team Development
•    Build, lead, and develop a team of data scientists, data analysts, and data engineers
•    Foster a culture of innovation, intellectual curiosity, and continuous learning within the analytics function
•    Provide coaching on statistical methods, data visualization, storytelling with data, and stakeholder engagement

Core Compentencies
•    Deep expertise in data science, machine learning, statistical modeling, and predictive analytics
•    Strong proficiency in Python, SQL, and modern analytics platforms - including cloud data warehouses (Snowflake, Databricks), orchestration tools (dbt, Airflow), and visualization platforms (Power BI, Tableau)
•    Experience designing and managing data infrastructure, including data warehouses, ETL pipelines, and cloud-based analytics environments
•    Ability to translate complex analytical findings into clear, actionable recommendations for non-technical executive audiences
•    Strong executive presence and communication skills with the ability to influence senior stakeholders across finance, operations, and technology
•    Define and execute the AI and generative AI strategy for the FP&A organization, identifying high-value use cases for large language models, intelligent automation, and AI-assisted decision support
•    Familiarity with MLOps practices, model monitoring, and the responsible deployment of AI systems in production environments
•    Proven leadership ability with experience building and scaling analytics or data science teams from the ground up
•    Demonstrated ability to drive organizational change - building analytics fluency and data-driven culture across functions that have historically relied on intuition or spreadsheet-based processes
•    Knowledge of real estate finance, senior housing economics, or healthcare operations is strongly preferred

Experience and Qualifications

To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed throughout this job description are representative of the knowledge, skills, and abilities required.
•    Undergraduate degree in data science, statistics, mathematics, computer science, engineering, or a quantitative field required
•    A graduate degree (MS or PhD) in a quantitative discipline is strongly preferred
•    Minimum of 10 years of progressive experience in data science, advanced analytics, business intelligence, or a related quantitative field, with at least 5 years in a leadership role
•    Knowledge and experience in several of the following areas is strongly preferred:
•    Predictive Modeling and Machine Learning
•    Data Engineering and Infrastructure
•    Business Intelligence and Data Visualization
•    Real Estate or Healthcare Analytics
•    Financial Planning and Analysis
•    Collaborative and influential business partner with demonstrated ability to work across organizational boundaries at a senior level
•    Role is based in the McLean, VA headquarters but open to consider remote candidates
•    Regular travel to McLean and communities across North America required