Requisition ID: 213166
Join a purpose driven winning team, committed to results, in an inclusive and high-performing culture.

As a Senior Manager, Analytics Engineering, Customer Experience Centre contributes to the overall success of the Customer Experience Centre in Canada ensuring specific individual goals, plans, initiatives are executed / delivered in support of the team's business strategies and objectives. Ensures all activities conducted are in compliance with governing regulations, internal policies and procedures.

Is this role right for you? In this role you will:

• Champions a customer focused culture to deepen client relationships and leverage broader Bank relationships, systems and knowledge.
• Collaborate with stakeholders to develop BI solutions to address operational needs
• Combine multiple data sources across all contact center platforms and applications to build end-to-end BI products by designing and overseeing the analytics layer of the customer experience centre data model
• Define metrics / KPIs and develop customer insights models
• Assist Data Strategy and Analytics team with architecture and infrastructure design / development, particularly as we transform infrastructure and data to cloud
• Apply analytics tooling, scripts, and methodologies to find actionable insights, build operations models & frameworks, and provide strategic recommendations
• Develop ETLs for analytics solutions using Python, DBT, airflow, composer, SQL and Big Query SQL
• Provide recommendation to optimize Cloud pipelines within GDAP
• Prepare reports and presentations to communicate findings to stakeholders
• Assist in coaching / developing / up-skilling peers for advanced analytics
• Streamline, enhance and automate existing products to create capacity for team to develop new solutions
• Understand how the Bank's risk appetite and risk culture should be considered in day-to-day activities and decisions. Consistently 'does the right thing' to keep the Bank safe and fosters an environment where they, employees, customers, and stakeholders can speak up / raise concerns.
• Actively pursues effective and efficient operations of their respective areas in accordance with Scotiabank's Values, its Code of Conduct and the Global Sales Principles, while ensuring the adequacy, adherence to and effectiveness of day-to-day business controls to meet obligations with respect to operational, compliance, AML/ATF/sanctions and conduct risk.
• Champions a high performance environment and contributes to an inclusive work environment.
• Primary focus on Canada but also responsible for governance of data and AI for global contact centre
• Working on 6-10 large projects, with data from 50+ sources
• Accountable for data lineage and governance in partnership with data office and internal controls (technical SME)
• Partnership across CIDA and GDAP (5-7 teams) to ensure that the data products developed by Customer Experience Centre can meet standards to be used across the enterprise for channel analyticsTechnical navigator role bridging 4 different IT teams supporting customer experience centre, and the business

Do you have the skills that will enable you to succeed in this role? We'd love to work with you if you have:

• 5+ years data engineering and/or business intelligence and/or analytics
• 5+ years using python for data analysis and analytics (Pandas, Dask, Numpy, etc..)
• Experience with data modelling, data warehousing and database design
• Experience with Python application development, package management, dependencies, and deployment
• Professional experience with modern ML tooling (Scikit-learn, Xgboost, Tensorflow, Pytorch, Spark ML, etc…)
• Experience and understanding of NLP methodologies and tooling
• Strong technical navigation skills to determine data sources, interpret technical documentation, and communicate requests and project requirements to IT partners
• Ability to quickly move from UI and reporting design, to building functional reporting and visualizations
• Experience designing and building ETL, data pipelines, or data engineering solutions
• Graduate degree in engineering, computer science, or computational (social) science (eg. Computational biology, computational chemistry, applied econometrics) preferred, or equivalent experience

Location(s): Canada : Ontario : Toronto || Canada : Ontario : Scarborough
Scotiabank is a leading bank in the Americas. Guided by our purpose: "for every future", we help our customers, their families and their communities achieve success through a broad range of advice, products and services, including personal and commercial banking, wealth management and private banking, corporate and investment banking, and capital markets.
At Scotiabank, we value the unique skills and experiences each individual brings to the Bank, and are committed to creating and maintaining an inclusive and accessible environment for everyone. If you require accommodation (including, but not limited to, an accessible interview site, alternate format documents, ASL Interpreter, or Assistive Technology) during the recruitment and selection process, please let our Recruitment team know. If you require technical assistance, please click here. Candidates must apply directly online to be considered for this role. We thank all applicants for their interest in a career at Scotiabank; however, only those candidates who are selected for an interview will be contacted.