Manager, Data Solutions

2 months ago

Waterloo, 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.

This role will report to the Director, Finance Data & Reporting Product Owner.

**What will you do?**
- As part of the Finance Accelerator, manage decisions in design choices on how we will intake, transform and use data; including how data will be collected, structured, governed and follow guiding principles to increase consistency in data across Business Groups
- Effectively translate business and project needs into data models (i.e. CDM, LDM, PDM)
- Convert complex business and technical rules into logic for data flows (mapping documents) that are implemented in ETL processes
- Ensure a high level of data quality and data integrity and security are maintained in developed foundational data sources to be the trusted data source for the expense community
- Leverage data expertise to support initiatives through scoping, implementation, impact analysis, and ongoing reporting that includes improving performance issues holistically
- Develop and maintain varied security AD groups to limit access to various teams on a need to know basis

**What do you need to succeed?**
- An undergraduate or graduate degree in mathematics, statistics, management analytics, or computer science, plus strong quantitative skills and background, or equivalent work experience
- Expert knowledge in Database modeling, and building ETL pipelines with Informatica or IICS
- Data analysis and querying large datasets with SQL (e.g. SQL Server, Snowflake)
- Familiarity with AWS data toolsets (e.g. Glue, Redshift, Sage Maker, etc.)
- Familiarity with Data analysis using Python

**Preferred**:

- Communication (verbal and written) and interpersonal skills - be able to effectively communicate complex results to a business audience not familiar with complex data and analytics
- Expertise on any reporting platform (like Tableau, SAC or Power BI) is an advantage, but not required
- 5+ years of industry experience (preferably in Insurance or Financial Services) and expert knowledge in analytics and data science
- 3+ years of experience leading a team of ETL developers

**What is in it for you?**
- Time off giving you the flexibility to focus on the moments that matter, including 20 vacation days per year
- Flexible Benefits from the day you join to meet the needs of you and your family
- Pension Plan participation starts immediately, and you are automatically enrolled. We help you save more with Sun Life automatic and matching contributions and by including both your salary and bonus when making
- contributions.
- The opportunity to move along a variety of career paths with amazing networking potential
- Flexible hybrid work model
- A friendly, collaborative, and inclusive culture
- We’re honoured to be recognized as a 2023 Best Workplaces in Ontario by Great Place to Work® Canada
- Sun Life ranked one of the 2023 Global 100 Most Sustainable Corporations in the World on the Corporate Knights’ 2023
- Having exposure to our Analytics community, where we share best practices and broaden skill-sets

At Sun Life we strive to create a flexible work environment where our employees are empowered to do their best work. Several flexible work options are available and can be discussed throughout the selection process depending on the role requirements and individual needs.

We thank all applicants for showing an interest in this position. Only those selected for an interview will be contacted.

**Salary Range**:
76,000/76 000 - 125,000/125 000

**Job Category**:
Advanced Analytics

**Posting End Date**:
12/12/2023

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