Job Description:
Current or previous external Client Data (Customer Data) engagement analytics and operational data domain experience as a strategic Enterprise Data Architect is essential for this position. You should have experience with leading the unification of a national customer data experience across business units. Experience with data architecture for a holistic customer 360 view is preferred. You should also have proven experience in a modern AWS data architecture environment. Please consider these criteria before applying.
We seek an experienced and high-performing strategic individual contributor to join our Enterprise Data architecture team as a Director, Enterprise Data Architecture.
Your focus will be towards our CXO (Client Experience Office) space where you will unify the client journey nationally across business units. This leadership role is responsible for guiding the data solutions architecture (at an enterprise level) of critical data systems in consultation with Sun Life’s Business and enterprise partners, including the holistic alignment of technologies, standards, and practices that enable Sun Life to deliver world class customer data and analytic systems.
The Data Architecture team is an evolving group leading Sun Life in the application of leading-edge solutions for Sun Life business opportunities. This role will directly report into the Chief Data Architect – Global. Also, this role will be closely working & delivering for the Chief Data & Analytics Officer – Canada. You will also partner with the Chief Architect – Canada. In this role you will lead the design and implementation of advanced data architectures such as event streaming & data fabric and mesh on cloud to support advanced marketing needs. This is an innovation opportunity to gain experience with AI and ML initiatives on cloud in the customer data domain.
What will you do?
You’ll lead the customer data domain data strategy engagements with client executives and define data architectures for Canada level engagements. You will also roll-up your sleeves to mentor and help the project team with complex technical issues.
Develop data architecture patterns, define playbooks for data technologies. Evaluate & analyze structural requirements for new software and applications in the customer data domain. Lead technology POCs and pilots in the data and analytics domain in partnership with Data and analytics teams. Create and present customer data tools/tech proposals and evaluations at Enterprise Architecture Governance councils.
Provide leadership and guidance on the design & end-to-end solutions for building data & analytics applications on cloud (AWS) and on-premise platforms. Coordinate with Data lifecycle management program to guide all aspects of their delivery. Coordinate with the Data Science department to identify future needs and requirements in the customer data domain.
Apply best practices to all solution architecture, design areas, including on-prem, Cloud (AWS), or a combination. This includes areas such as Operational Excellence, Security, Reliability, Performance Efficiency, and Cost Optimization. Mentor data systems designers (Data Architects), both within your team and within other enterprise services or business units, in order to support solution development and application of best practices.
What do you need to succeed?
What’s in it for you?