Senior Director Data Science Financial Planning and Analysis
Sunrise Senior Living
When you join Sunrise Senior Living, you will be able to use your unique skills to empower residents to live longer, healthier, and happier lives. Not only will you build meaningful relationships with residents, their families, and team members alike, you will also gain joy in serving others and deep fulfillment in your work. Explore how you can follow your passions and shed light on meaningful ways to serve, grow, and shine together. Sunrise Senior Living was again certified as a Great Place to Work® by Activated Insights. This is the 9th time Sunrise has received this top culture and workplace designation, highlighting the special place Sunrise is to be a part of. COMMUNITY NAME Community Support Office Job ID View phone number on click.appcast.io JOB OVERVIEW The Senior Director, Data Science is a leadership role within the FP&A organization. Reporting to the VP of Financial Planning & Analysis, this position is responsible for building and leading the data science and AI function that powers advanced analytics, predictive modeling, generative AI applications, and enterprise business intelligence across the Sunrise enterprise. This leader will own the design and delivery of the data infrastructure, analytical tools, and machine learning models that enable FP&A, Operations, and Asset Management to make faster, more accurate, data-driven decisions. The Senior Director will combine deep technical expertise with strong business acumen - translating complex data into actionable insights that measurably improve occupancy growth, labor optimization, revenue management, and NOI - with clear accountability for model performance and business outcomes. This individual will lead a team of data scientists, analysts, and engineers while partnering cross-functionally to embed analytics into the fabric of how Sunrise operates. RESPONSIBILITIES & QUALIFICATIONS 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 ABOUT SUNRISE Ready to take the next step and make a bigger impact than you ever imagined? As part of our team, you will help brighten the future for everyone at Sunrise and beyond. That is why we make it a priority to celebrate the unique ways you bring moments of togetherness and joy to everyone you serve. And when combined with the support, benefits, and growth opportunities we offer, the result is a career that PositivelyShines with everything you need to reach your goals - at work and in your life. We also offer benefits and other compensation that include:
Apply today to learn why Sunrise Senior Living is a certified Great Place to Work® PRE-EMPLOYMENT REQUIREMENTS Sunrise considers the health and safety of its residents, family members, and team members among its highest priorities. Employment with Sunrise is contingent upon successful completion of required pre-employment screenings and health evaluations in accordance with applicable federal, state, and local laws. Covid 19 and Influenza vaccination may be required if mandated by applicable federal, state, and local laws and authorities.
COMPENSATION DISCLAIMER Selected candidates will be offered competitive compensation based on geographic location of community/office, skills, experience, qualifications, and certifications/licenses (where applicable).
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 ABOUT SUNRISE Ready to take the next step and make a bigger impact than you ever imagined? As part of our team, you will help brighten the future for everyone at Sunrise and beyond. That is why we make it a priority to celebrate the unique ways you bring moments of togetherness and joy to everyone you serve. And when combined with the support, benefits, and growth opportunities we offer, the result is a career that PositivelyShines with everything you need to reach your goals - at work and in your life. We also offer benefits and other compensation that include:
- Medical, Dental, Vision, Life, and Disability Plans
- Retirement Savings Plans
- Employee Assistant Program / Discount Program
- Paid time off (PTO), sick time, and holiday pay
- myFlexPay offered to get paid within hours of a shift
- Tuition Reimbursement
- In addition to base compensation, Sunrise may offer discretionary and/or non-discretionary bonuses. The eligibility to receive such a bonus will depend on the employee's position, plan/program offered by Sunrise at the time, and required performance pursuant to the plan/program.
- Some benefits have eligibility requirements
Apply today to learn why Sunrise Senior Living is a certified Great Place to Work® PRE-EMPLOYMENT REQUIREMENTS Sunrise considers the health and safety of its residents, family members, and team members among its highest priorities. Employment with Sunrise is contingent upon successful completion of required pre-employment screenings and health evaluations in accordance with applicable federal, state, and local laws. Covid 19 and Influenza vaccination may be required if mandated by applicable federal, state, and local laws and authorities.
COMPENSATION DISCLAIMER Selected candidates will be offered competitive compensation based on geographic location of community/office, skills, experience, qualifications, and certifications/licenses (where applicable).
Vacancy posted 6 hours ago
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