Vice President, Data And Ai Foundations

About The RoleThe VP, Data and AI Foundations is an enterprise executive leadership role accountable for defining, governing, and executing SE Health's end-to-end data and AI ecosystem. This role owns the strategy, architecture, engineering, analytics, governance, and business integration of data and artificial intelligence assets across the organization.
About The RoleThe VP, Data and AI Foundations is an enterprise executive leadership role accountable for defining, governing, and executing SE Health's end-to-end data and AI ecosystem. This role owns the strategy, architecture, engineering, analytics, governance, and business integration of data and artificial intelligence assets across the organization.
This position provides executive oversight for enterprise data strategies, advanced analytics, machine learning/Generative AI capabilities, data architecture, information governance, business intelligence, and responsible AI ethics frameworks. The VP partners with senior executives, clinical operations, technology leadership, legal/privacy teams, and external strategic partners to transform raw enterprise data into actionable intelligence, predictive insights, automated workflows, and measurable business and clinical outcomes.
Enterprise Impact and Scope
Sets enterprise direction for data management, business intelligence, predictive/prescriptive analytics, and enterprise AI adoption strategies.
Accountable for establishing data quality, metadata management, data architecture integration, and AI ethical guardrails in alignment with organizational risk posture and regulatory standards.
Provides executive leadership for the design, scaling, and monetization/operationalization of machine learning models, Generative AI applications, and algorithmic automation.
Builds executive alignment, algorithmic trust, and scalable data-driven operating models that empower enterprise clinical, financial, and operational decision-making.
What You'll DoEnterprise Data & AI Strategy, Investment & Governance
Enterprise Direction: Sets the enterprise vision, strategic priorities, operating model and multi-year roadmap for data and AI, aligned with SE Health’s organizational strategy, care transformation and growth objectives.
Investment Stewardship: Establishes portfolio priorities and provides executive oversight of operating and capital investments, business cases, funding recommendations and benefits realization across the data and AI portfolio.
Enterprise Standards: Establishes and approves enterprise standards for data architecture, quality, stewardship, interoperability, access, platforms and responsible AI, ensuring alignment with security, privacy, legal, clinical and regulatory requirements.
Decision Authority: Chairs or sponsors enterprise governance forums;
resolves cross-enterprise priorities and trade-offs;
and recommends whether initiatives should proceed, change course or stop based on strategic fit, risk, readiness and expected value.
Business Transformation, AI Adoption & Value Realization
Transformation Portfolio: Partners with executive and business leaders to identify and prioritize enterprise opportunities where data and AI can transform care delivery, client and employee experience, workforce capacity, productivity, quality, growth and financial performance.
Product and Delivery Accountability: Provides executive oversight for the end-to-end portfolio of analytics, automation and AI products, ensuring disciplined progression from discovery and experimentation through deployment, adoption, scaling and ongoing optimization.
Business Adoption: Establishes shared accountability with business owners for workflow redesign, change readiness, adoption and sustained use of data and AI capabilities across clinical and corporate functions.
Benefits Realization: Defines enterprise performance measures and holds the portfolio accountable for measurable clinical, operational, financial and strategic outcomes, including quality, safety, productivity, user adoption and return on investment.
Enterprise Risk, Privacy & Responsible AI
Risk Framework: Establishes the enterprise data and AI risk framework in partnership with Privacy, Legal & Compliance, Security, Clinical, Technology and other control functions, aligned with organizational risk appetite and regulatory obligations.
Responsible AI: Sets guardrails for ethical, transparent, explainable and equitable use of data and AI, including human oversight, bias monitoring, model validation, third-party risk and appropriate use of sensitive health information.
Executive Assurance: Provides executive visibility into material data and AI risks, control effectiveness, regulatory developments and emerging exposures, with clear recommendations and escalation pathways.
Ongoing Oversight: Ensures deployed data and AI products are monitored for safety, accuracy, security, performance, drift and unintended impacts, and initiates timely remediation where required.
Executive Partnership & Ecosystem Leadership
Executive Advisory: Serves as a trusted advisor to the Chief Digital Officer, CEO and senior leadership on enterprise data and AI strategy, investment choices, opportunities, risks and organizational readiness.
Enterprise Alignment: Builds shared ownership across clinical, operational, financial and corporate leaders and resolves competing priorities, dependencies and decision rights across the enterprise.
Commercial and Partner Strategy: Leads strategic vendor and partner relationships, including build-buy-partner decisions, commercial negotiations, performance governance, technology viability, cost optimization and responsible commercialization opportunities where appropriate.
External Leadership: Represents SE Health in relevant health-sector, technology, research and policy forums, strengthening strategic partnerships, sector influence and access to emerging capabilities.
People, Culture & Organizational Capability
Organizational Leadership: Designs and leads a high-performing, multidisciplinary Data & AI function with clear mandates, accountabilities, decision rights and performance expectations aligned to enterprise priorities.
Talent and Succession: Leads workforce planning, talent acquisition, leadership development, performance management and succession planning for critical data and AI capabilities, balancing internal capacity with strategic external expertise.
Enterprise Capability: Builds data literacy, responsible AI fluency and decision-making capability across the organization so leaders and teams can use data and AI confidently, safely and effectively.
Culture and Leadership: Fosters an inclusive, collaborative and accountable culture that encourages innovation, constructive challenge, continuous learning and disciplined execution.
What You Bring
Bachelor's degree in Data Science, Computer Science, Information Systems, Applied Mathematics, Engineering, or a related quantitative field.
MBA or Master's degree in a related discipline considered an asset.(MS/MBA in Data Analytics, Computer Science, Business Analytics, or AI).
Relevant certifications considered an asset (e.G., Azure Data/AI Engineer, AWS Certified Machine Learning, Google Cloud Data Engineer, CIPP privacy certification, CDMP, or equivalent).
15+ years of progressive technology and data leadership experience, including senior executive accountability over enterprise data systems, business intelligence, data science, and enterprise platform delivery.
Demonstrated experience designing, building, and operating modern data stack architectures (Data Warehouses, Lakehouses, MLOps platforms) within complex enterprise environments.
Proven track record of deploying machine learning models, predictive tools, or Generative AI solutions into core production workflows to drive business value.
Demonstrated experience managing financial planning, cloud consumption/compute budgets, investment prioritization, and portfolio governance for data and AI programs.
In-depth knowledge of health data standards, data privacy laws (e.G., PHIPA, PIPEDA), clinical data structures, and ethical AI/governance frameworks.
Experience establishing data governance bodies, data stewardship programs, and enterprise data quality processes.
Why Join SE Health?At SE Health, you'll have the opportunity to shape the future of healthcare while contributing to a purpose-driven organization committed to innovation, impact, and social good. You will work alongside passionate leaders who believe that sustainable healthcare requires bold thinking, meaningful partnerships, and a relentless focus on improving lives.
Competitive Total Rewards So much more than a paycheque! Enjoy comprehensive benefits, pension, flexible pay options, car-loan support, housing solutions and exclusive staff perks.
Flexibility & Belonging Thrive with hybrid work, flexible scheduling and a supportive, inclusive culture that puts people first.
Purpose & Impact Join a national social enterprise where your voice matters. Every role helps advance health, spark innovation and strengthen communities across Canada.
Growth That Meets Your Ambition Access tuition support, training and meaningful career pathways across a growing, future-focused organization.
Join us as we transform care for generations to come.
About SE HealthSE Health is a not-for-profit social enterprise advancing health with heart. With 115+ years of impact, we bring hope, happiness and exceptional care to people and communities across Canada. We lead with empathy, dignity and purpose while building a future where everyone can realize their full health and well-being potential. We’re also an inclusive, supportive workplace offering competitive compensation, strong benefits and real opportunities to grow. We’re All In Together.
Accessibility : If you require accommodations due to illness or disability, please contact Talent Acquisition at
View email address on ca.hrm.tc .
AI and compensation details:
We use AI to take notes during our interview. All applications and interviews are reviewed by our Talent Acquisition team. This role is a new addition.
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