Senior Manager, Enterprise Data Solutions

Company: CGL 
Department: IT
Employment Type: Regular Full-Time 
Work Model: Hybrid 
Language: This role operates in English
Additional Information: This/these role(s) is/are currently vacant

The Opportunity:

We are a leading Canadian financial services co-operative committed to being a catalyst for a sustainable and resilient society and our team is essential to deliver on this strategy. That’s why we prioritize our people, to ensure we provide a strong culture and development opportunities which enables our team to thrive and to live our purpose. The best part is that you will work with people that care passionately about you, our clients, and our communities.

Senior Manager, Enterprise Data Solutions is responsible for overseeing the deployment of robust, scalable data pipelines, systems, and solutions to enable data-driven decision making across the organization. This role will create the unified view of the Customer (Customer 360) to enable and accelerate our Guided Omni program. The Senior Manager, Enterprise Data Solutions leads a team of highly skilled contributors such as data engineers and analysts responsible for building, integrating, managing, and enhancing data infrastructure including ELT/ETL (Extract/Transform/Load) pipelines, data warehouses, data marts, data lakes and self-serve reporting platforms. They support the AVP, Data to establish sound data engineering best practices, methodologies, and processes, recruit and develop top data engineering talent to cultivate and sustain a high-performing team. 

How you will create impact:

• Partner with different business, product, and data teams to create a clear, concise plan to deliver and build data products to support digital, martech, reporting and analytics.
• Partner with business and technology stakeholders to identify and prioritize client centric data initiatives that address business challenges and support business value creation by influencing the client strategy.
• Lead the design and build of data integration, curation and reusability of data for all customer centric initiatives.
• Support a team of data engineers and analysts responsible for building, integrating, managing, and enhancing data infrastructure including ELT/ETL pipelines, data warehouses, data marts, and data lakes.
• Build capabilities to enable the OMNI channel strategy and enhance customer experience around sales and service.
• Drive insights capabilities for contact center, customer centric and personalization initiatives.
• Collaborate with BI and other analytics teams to drive adoption of these capabilities.
• Stay abreast of emerging technologies and industry trends related to data capabilities such as data mesh/fabric, AI/machine learning, cognitive artificial intelligence, to drive innovation and improve data-driven business outcomes

How you will succeed:

• You build trusting relationships and provide feedback to enable the successful development of your team and colleagues.
• You foster innovation and continuous improvement with a focus on client experience.
• You facilitate the adoption of change and create a high-performance culture through alignment of your team’s work with organizational goals.
• You successfully convey messages and demonstrate openness to exploring alternative points of view.
• You use critical thinking to guide decision making.

To join our team:

• A university degree in Computer Science, Information Systems, or related field is required.
• Preferred advanced degree in Management Analytics.
• Preferred master’s degree in computer science, Statistics, Data Science and Analytics or a related field.
• 6-10 years of progressive experience in Data and technology leadership roles, with a proven track record of successfully implementing data-driven solutions at the enterprise level.

•  Experience in creating a unified view of the customer to drive customer centricity and enable personalization, digital and customer analytics

• Experience leading teams of direct reports

• Strong technical understanding of all delivery methods and platforms and their use and purpose.
• Strong communication skills, both written and verbal – able to present ideas to senior level audiences, and a diverse audience. Proficient at turning complex concepts into relevant messages for the audience.
• Strong leadership capabilities with an ability to influence, motivate, lead, inspire and accomplish work objectives and deliverables through a diverse team.
• Resolve situations requiring analytical, interpretative, evaluative and/or strategic thinking.
• Demonstrated experience with a track record of being an effective change leader within a department or team.
• Participate with peers within the organization to make decisions and take actions with joint responsibility and accountability for various project streams within the program.
• Strong understanding of data engineering, data architecture, governance, data privacy, and regulatory compliance requirements.
• Understanding of all data & some analytic functions across the organization and how to leverage teams to deliver solutions to the business.
• Proficient in Data Skills like Python, Spark, Power BI and Azure native toolkit. (Databricks, ADF, Azure ML)

What you need to know:

• You will travel regularly. 
• You will be subject to a Background check as a condition of employment, in the event you are the successful candidate.

What’s in it for you? 

• Training and development opportunities to grow your career.
• Flexible work options and paid time off to support your personal and family needs.
• A holistic approach to your well-being, with physical and mental health programs and a supportive workplace culture.
• Paid volunteer days to give back to your community.
• In addition to our competitive salary and incentive programs, eligible employees also benefit from a comprehensive total rewards package including group retirement savings plans, pension and benefits (e.g., health and wellness, dental, disability and life coverage), mental health support and an employee assistance program.