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Director, Enterprise Data Architecture

2 months ago

Toronto, Canada Sun Life Full time

You are as unique as your background, experience and point of view. Here, you’ll be encouraged, empowered and challenged to be your best self. You'll work with dynamic colleagues - experts in their fields - who are eager to share their knowledge with you. Your leaders will inspire and help you reach your potential and soar to new heights. Every day, you'll have new and exciting opportunities to make life brighter for our Clients - who are at the heart of everything we do. Discover how you can make a difference in the lives of individuals, families and communities around the world.

**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.**

**Y**ou 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.**

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.**

While we would also prefer AI/ML experience, if you do not yet have that experience, consider this a learning opportunity

**What will you do?**
- Take ownership of the Client oriented data domain from a conceptual perspective and provide data architecture oversight
- Lead solution integration for data and analytical products across the entire CXO ecosystem e.g. from data to data science to decisioning engines to digital properties
- Support and advocate for across business units for data design for operational and analytical needs for the Chief Data Analytics Office mandate
- 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.
- 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.
- Coordinate with Data life cycle 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**.**:
**Accountability**
- Set up and provide governance on data architecture and technology standards.
- Partner with Data and Analytics delivery partners.
- Partner with Solution Architects

**What do you need to succeed?**
- 10+ years of prior technology design and build experience related to data service design, building **data architecture** and leading end to end implementations.
- 2+ years with **AWS cloud-based data architecture **including data lake technologies like Glue, EMR, Redshift, and Lambda.
- Open source technology experience such as Kafka, Python, Spark etc.
- 3+ years of experience in leading the technology design architecture and analytics of **external customer data.**:

- Knowledge of MDM (Master Data Management) is preferred
- RDM and Data Modeling techniques.
- Data **architecture patterns** evaluation.
- Experience in Machine Learning/AI methodologies and technologies such as Sagemaker, R, Python, or similar would be an asset.
- Experience in the architecture of data analytics and visualization solutions using modern cloud based and open source tools.
- 5+ years in a financial services company (especially insurance) is preferred, but not necessarily required.

**What’s in it for you?**
- Great Place to Work® Certified for Most Trusted Executive Team in Canada - 2024
- Great Place to Work® Certified for Best Workplaces in Ontario - 2023
- Great Place to Work® Certified in Canada in Financial Services and Insurance - 2023
- Great Place to Work®

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