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About the Role

As the Vice President of Data and AI Platforms, you will shape and execute the strategic vision for enterprise data, analytics, and AI shared capabilities. Your leadership will span the entire data and AI lifecycle, from designing platforms and AI infrastructure to ensuring data quality, accessibility, and intelligent automation. You will collaborate with cross-functional teams to enable data-driven and AI-powered decision-making and innovation, driving business growth through cutting-edge data and agentic AI platforms.

Responsibilities

Partner with IT and Data Leaders globally and lead the engineering and delivery of global Data and AI capabilities.
Lead the end-to-end design, development, and implementation of enterprise-scale data and AI platforms that support business strategies and initiatives.
Drive the strategy and execution of a unified global data platform architecture, enabling consistent data accessibility, interoperability, and governance standards.
Lead the expansion of enterprise data products and self-service capabilities to accelerate time-to-insight for global stakeholders.
Define, build, and scale the enterprise agentic AI platform infrastructure, including the agentic control plane, orchestration layers, model registries, and inference pipelines.
Architect and evolve the agentic control plane to manage agent lifecycle, governance, observability, and safe orchestration of autonomous AI agents.
Establish enterprise-wide standards and guardrails for the responsible use of agentic AI, ensuring alignment with regulatory requirements, ethical guidelines, and data privacy principles.
Partner with business and technology leaders to identify high-value AI and agentic use cases and accelerate the path from experimentation to production-grade AI solutions.
Define and socialize Data Governance policies, practices, and capabilities that enable compliance with regulatory requirements and industry best practices.
Identify opportunities to streamline and optimize existing data processes and workflows, leveraging automation, agentic AI, and emerging technologies.
Collaborate with data scientists, AI/ML engineers, analysts, and business stakeholders globally to deliver data and AI solutions.
Manage budgets, allocate resources effectively, and optimize costs for data engineering, analytics, and AI platform investments.
Stay informed about the latest advancements in data technologies, agentic AI architectures, and industry trends.
Introduce innovative technologies and methodologies to improve data processing, analysis, AI capabilities, and reporting.
Foster a culture of innovation, collaboration, and continuous learning within the data and AI platforms team.
Mentor, develop, and lead a high-performing team, providing guidance and direction for professional growth.

Requirements

Bachelor's or Master's degree in Computer Science, Data Science, AI/ML, Engineering, or related field. MBA or advanced degree is a plus.
Proven experience (10+ years) in designing and implementing enterprise-scale data, analytics, and AI platforms, preferably within the financial industry.
Strong expertise in Data Governance, compliance, and regulatory frameworks.
Demonstrated experience building and scaling agentic AI platforms, including agentic control planes, agent orchestration, and enterprise AI infrastructure.
Experience with managing budgets, resources, and project timelines for large-scale data and AI initiatives.
In-depth knowledge of data technologies, including data lakes, data mesh, data warehousing, ETL pipelines, and cloud-based solutions (e.g., AWS, Azure, GCP), as well as modern AI/ML frameworks and agent architectures.
Track record of introducing innovative technologies and driving data-driven and AI-powered transformation.
Exceptional leadership and team management skills, with a proven ability to inspire, mentor, and develop top-tier talent.
Excellent communication skills, both written and verbal, with the ability to interact effectively with technical and non-technical stakeholders.
A strong communicator comfortable in presenting to C-level executives.
Able to engage, lead, and influence across all levels of the organization.
A team player; able to work collaboratively in a matrix-like environment.
Motivated to work independently and take initiative while operating within a structured organization.
A 'can-do' attitude with a bias for action and continuous improvement.

Skills

Data Governance
AI/ML
Data Lakes
Data Mesh
Data Warehousing
ETL Pipelines
Cloud-based solutions (AWS, Azure, GCP)
AI/ML frameworks
Agent architectures

Work Type

Hybrid

Experience Level

10+ years

Education Level

Bachelor's degree
Master's degree

Salary/Compensations

195,000 - 270,000

About the Company

At Sun Life, we're driven by our Purpose: helping our Clients achieve lifetime financial security and live healthier lives.
Our values shape how we work: caring, authentic, bold, inspiring, and impactful.
When you join Sun Life, you'll work with passionate colleagues and empowering leaders who support your growth and celebrate your contributions, so you can make a meaningful difference in our Clients' lives.
Discover how you can make a difference in the lives of individuals, families and communities around the world.

Equal Opportunity

Diversity and inclusion have always been at the core of our values at Sun Life. A diverse workforce with wide perspectives and creative ideas benefits our Clients, the communities where we operate and all of us as colleagues. We welcome applications from qualified individuals from all backgrounds.
Persons with disabilities who need accommodation in the application process, or those needing job postings in an alternative format, may e-mail a request to thebrightside@sunlife.com.