The Vice President, Data Analytics & Artificial Intelligence will be accountable for the organization's enterprise data platform, BI ecosystem, AI strategy, governance framework, and data product portfolio.
This role serves as a bridge between business strategy and technology execution, partnering closely with executive leaders across Operations, Clinical Care, Finance, Human Resources, Development, and Technology to deliver actionable insights and transformative AI-enabled solutions.
The position will lead a specialized team of Data Engineers, Data Architects, BI Developers, and Quality Assurance professionals.
How You'll Succeed:- Develop and execute a multi-year enterprise data and AI roadmap aligned to Sienna's strategic objectives.
- Create and maintain an enterprise data strategy focused on quality, accessibility, governance, and business value.
- Establish data as a product discipline that delivers measurable outcomes to business stakeholders.
- Identify opportunities to leverage analytics and AI to improve resident outcomes, workforce effectiveness, operational efficiency, and financial performance.
- Act as the executive sponsor for enterprise analytics initiatives and data modernization programs.
- Lead the design, implementation, and evolution of Sienna's enterprise data platform using Microsoft Fabric.
- Establish a scalable architecture supporting data engineering, real-time analytics, business intelligence, AI workloads, and self-service analytics.
- Develop and manage a portfolio of enterprise data products including:
- Executive scorecards
- Operational performance dashboards
- Workforce analytics solutions
- Clinical and resident insights platforms
- Financial analytics solutions
- Predictive and prescriptive analytics capabilities
- Drive adoption of modern data engineering practices including DataOps, CI/CD, automated testing, metadata management, and observability.
- Lead enterprise reporting and visualization strategy utilizing Power BI.
- Establish standards for dashboard design, metric governance, semantic models, and enterprise reporting.
- Collaborate with the CTO to define and execute Sienna's Artificial Intelligence strategy.
- Identify, prioritize, and implement AI use cases that deliver measurable business value.
- Lead the adoption of Microsoft Copilot technologies and AI-powered productivity solutions.
- Evaluate and govern the use of large language models (LLMs) including Claude and other enterprise-grade AI platforms.
- Develop frameworks for AI governance, responsible AI, security, privacy, compliance, and risk management.
- Partner with business leaders to create AI-enabled workflows and intelligent automation solutions.
- Establish enterprise data governance policies, standards, and stewardship processes.
- Define data quality standards, monitoring capabilities, and remediation processes.
- Lead master data management and metadata initiatives.
- Promote a culture of data literacy and accountability across the organization.
- Build, lead, mentor, and inspire a high-performing analytics and AI organization.
- Represent Sienna in industry forums, vendor partnerships, and strategic technology engagements.
Who you are:- Bachelor's degree in Computer Science, Information Technology, Data Science, Engineering, Mathematics, or a related discipline.
- Master's degree in Business, Analytics, Data Science, Artificial Intelligence, or a related field is an asset.
- 10+ years of progressive leadership experience in data, analytics, business intelligence, or artificial intelligence functions.
- 5+ years leading enterprise-scale analytics organizations.
- Proven success building and executing enterprise data strategies.
- Experience delivering modern cloud-based analytics platforms.
- Experience partnering directly with executive teams and business stakeholders.
- Experience managing large strategic initiatives and technology transformation programs.
- Strong knowledge of Microsoft Fabric, Power BI Enterprise, Microsoft Purview, Azure Data Platform services.
- Experience developing Data warehousing and Lakehouse architectures.
- Experience applying Data Governance and Data Quality Frameworks.
- Applied experience using SQL, python, and DBT.
- Experience working within healthcare, seniors living, or other regulated multi-site enterprise environments is considered an asset.
- Advanced practical experience with Claude, Microsoft Copilot, ChatGPT, and enterprise generative AI platforms including:
- Prompt engineering and AI workflow design.
- AI-assisted research, analysis, and knowledge management.
- Agentic AI and business process automation.
- Retrieval-Augmented Generation (RAG) architectures.
What you need to know:- This is an on-site position at our Shared Support office in Markham
- Any offer of employment will be conditional upon a criminal background and references check.
- This posting is for a new position
- Sienna Senior Living may utilize artificial Intelligence to screen or assess applicants for this position.
