Senior Manager Data Engineer

Canadian Imperial Bank of Commerce; Toronto; Hybrid; CAD 100,000 - 135,000; Full time

Job summary

A leading Canadian bank is seeking a Senior Manager, Data Engineer to spearhead the development of advanced data infrastructure for its Collections function. This role involves overseeing data engineering solutions, ensuring data quality, and collaborating with cross-functional teams. The ideal candidate will have a deep understanding of data engineering practices, excellent communication skills, and the ability to lead a team effectively, all within a dynamic hybrid working environment.

Benefits

Competitive salary

Incentive pay

Benefits program

Defined benefit pension plan

Vacation offering

Wellbeing support

Employee share purchase plan

Qualifications

• Experience in building and optimizing data pipelines.
• Proficiency in data engineering platforms like AWS and Azure.
• Knowledge of collections processes is beneficial.

Responsibilities

• Develop and maintain the data infrastructure for collections analytics.
• Collaborate with teams to meet evolving data needs.
• Ensure data quality and compliance with governance standards.

Skills

Data Engineering

Communication Skills

Problem Solver

Leadership

Technical Leadership

Education

Degree in Data Engineering or related field

Tools

AWS

Azure

Hadoop

Spark

SQL

Python

Job description

We’re building a relationship-oriented bank for the modern world. We need talented, passionate professionals who are dedicated to doing what’s right for our clients.

At CIBC, we embrace your strengths and your ambitions, so you are empowered at work. Our team members have what they need to make a meaningful impact and are truly valued for who they are and what they contribute.

To learn more about CIBC, please visit CIBC.com

What You’ll Be Doing

As the Senior Manager, Data Engineer – CAM, you will be responsible for developing and maintaining the data infrastructure that supports the reporting, analysis, and strategic initiatives for CIBC’s Collections function. This includes designing, building, and managing the data pipelines and architecture needed to collect, store, and process data related to collections performance, customer interactions, and financial outcomes. With your knowledge of the collections process and advanced data engineering expertise, you will ensure that the right data is available to the business for decision-making, performance evaluation, and future strategy development.

You will oversee the development of a robust data platform that supports various reporting needs for early-stage, mid-stage, late-stage, and dialer collections. Your team will be responsible for transforming raw data into actionable insights and ensuring that collections leaders and stakeholders have the data they need to optimize performance and reduce losses. Additionally, you will work closely with other teams in IT, Business Intelligence, and Risk to ensure data integrity and compliance with governance standards.

At CIBC, we enable the work environment most optimal for you to thrive in your role. You’ll have the flexibility to manage your work activities within a hybrid work arrangement where you’ll spend 1-3 days per week on-site, while other days will be remote.

How You’ll Succeed

• Data Infrastructure Leadership – Lead the development and implementation of data engineering solutions to support collections analytics. You will oversee the creation of scalable, efficient, and reliable data pipelines that allow for the seamless flow of data from source systems to reporting and analytics platforms.
• Collaboration with Stakeholders – Work closely with collections, business intelligence, and risk teams to understand data needs and deliver solutions that provide accurate, real-time insights. You will be responsible for ensuring that the architecture and infrastructure meet the evolving needs of the collections team.
• Data Quality & Compliance – Ensure that the data is accurate, clean, and compliant with internal and external data governance standards. You will be responsible for data validation, transformation, and optimization to ensure reliability for business decision-making.
• Collections Data Expertise – Utilize your in-depth knowledge of collections processes (early-stage, mid-stage, late-stage, and dialer collections) to inform data modeling and architecture decisions. You will work to ensure that the data structure supports the reporting and insights required for collections performance evaluation.
• Technology & Innovation – Stay current with emerging technologies and innovations in data engineering, and introduce new solutions to improve the efficiency and performance of the data platform. You will also manage the integration of new data sources into the data lake.
• Team Leadership – Lead a team of data engineers, guiding them through complex data engineering tasks, mentoring junior engineers, and ensuring a high standard of quality and performance in all engineering efforts.
• Cloud Experience – Experience with cloud-based data platforms, particularly AWS or Azure, and big data technologies like Hadoop or Spark.
• Advanced Analytics & Machine Learning – Familiarity with integrating advanced analytics or machine learning models into the data infrastructure to optimize collections and predictive models.
• Experience in Financial Services – Background in financial services or credit risk management with a focus on collections would be highly beneficial.

Who You Are

• Data Engineering Expertise – You have experience in building, maintaining, and optimizing data pipelines and data architecture. Proficiency in technologies such as SQL, Python, ETL tools, AWS, Azure, or similar data engineering platforms is essential.
• Collections Knowledge – You bring a deep understanding of collections processes and the types of data required for performance analysis, reporting, and strategic decision-making. You are comfortable working with data from early-stage, mid-stage, late-stage, and dialer collections.
• Problem Solver – You thrive in solving complex data challenges, and can create solutions that help drive collections performance and operational efficiency. You understand what data is needed and how to structure it to provide business insights.
• Technical Leadership – You have experience leading a team of data engineers, guiding technical direction, and ensuring the team adheres to best practices in data engineering. You are an effective mentor and help build a collaborative, high-performance team.
• Communication Skills – You are an excellent communicator who can work with technical teams, business users, and stakeholders to understand data requirements, explain technical solutions, and ensure that the right data is available for business needs.
• Results-Oriented – You are passionate about delivering solutions that have a measurable impact on the business. You take ownership of your work and ensure that your team’s engineering solutions help optimize collections processes and support strategic goals.
• Innovative & Forward-Thinking – You are always looking for new technologies, tools, and methods to improve data engineering processes and enhance the capabilities of the collections data platform. You embrace change and drive innovation to ensure the best solutions for your team and the business.

What CIBC Offers

At CIBC, your goals are a priority. We start with your strengths and ambitions as an employee and strive to create opportunities to tap into your potential. We aspire to give you a career, rather than just a paycheck.

• We work to recognize you in meaningful, personalized ways including a competitive salary, incentive pay, banking benefits, a benefits program*, defined benefit pension plan*, an employee share purchase plan, a vacation offering, wellbeing support, and MomentMakers, our social, points-based recognition program.

• Our spaces and technological toolkit will make it simple to bring together great minds to create innovative solutions that make a difference for our clients.

• We cultivate a culture where you can express your ambition through initiatives like Purpose Day; a paid day off dedicated for you to use to invest in your growth and development.

*Subject to plan and program terms and conditions

What you need to know

• CIBC is committed to creating an inclusive environment where all team members and clients feel like they belong. We seek applicants with a wide range of abilities and we provide an accessible candidate experience. If you need accommodation, please contact [e-mail]

• You need to be legally eligible to work at the location(s) specified above and, where applicable, must have a valid work or study permit.

• We may ask you to complete an attribute-based assessment and other skills tests (such as simulation, coding, French proficiency, MS Office). Our goal for the application process is to get to know more about you, all that you have to offer, and give you the opportunity to learn more about us.

Job Location

Toronto-750 Law Ave. W., E4

Employment Type

Regular

Weekly Hours

37.5

Skills

Actionable Insights, Analytics, Business Analysis, Data Engineering, Data Lake, Financial Modeling, Group Problem Solving, Key Performance Indicators (KPI), Leadership, Microsoft Access, People Management, Risk Management, Tableau (Software)