PRACTICE LEAD DATA ANALYTICS AND VISUALISATION

We are banking at another level. Choosing BDC as your employer means working in a healthy, inclusive, and skilled workplace that puts forward the best conditions to bring together unique teams where employees are empowered to act. It also means being at the centre of ambitious economic and financial projects to see further and to do things differently, to fuel the success of Canadian entrepreneurs. Choosing BDC as your employer also means: Flexible and competitive benefits , including an Employee Savings and Investment Plan where BDC matches part of your voluntary contributions, a Defined Benefit Pension Plan, a $750 wellness and health care spending account, to name a few    In addition to paid vacation each year, five personal days , sick days as necessary , and our offices are closed from December 25 to January 1 A hybrid work model that truly balances work and personal life Opportunities for learning , training and development , and much more...  Explore the BDC Way in our Culture Book POSITION OVERVIEW BDC views data-driven decision-making as a strategic capability that must be embedded across all business lines and corporate functions. Reporting to the AVP, Data Analytics & AI, the Practice Lead, Data Analytics & Visualization is accountable for developing and leading BDC's enterprise analytics capability through a combined Chapter, Center of Expertise and Hub-and-Spoke mandate. The incumbent acts as both a people leader and a capability leader. They lead, coach and develop Analytics Engineers, BI Developers, Data Visualization Specialists and Analytics Practitioners who may be deployed across data platform squads, business-facing initiatives and enterprise priorities. The role establishes the standards, talent practices, communities of practice and capability roadmap required to mature analytics delivery across BDC. The role plays a dual mandate in BDC's operating model. As the enterprise analytics hub, the team influences and enables analytics practitioners across business lines and corporate functions by clarifying standards, delivering training, sharing best practices and supporting the safe adoption of self-service analytics. As a Chapter and Center of Expertise, the team develops analytics engineering, BI, visualization and semantic modelling capabilities while deploying expertise into data platform squads responsible for building analytical and semantic layers. The incumbent owns the Analytics Engineering, BI & Insights Center of Expertise. In this capacity, the role defines reusable semantic model practices, trusted reporting standards, KPI and metrics guidance, Power BI and visualization guidelines, data storytelling practices and self-service analytics guardrails that help the organization make decisions with confidence. The role influences the evolution of analytics platforms, semantic layers, reporting practices and decision intelligence capabilities in close collaboration with Product Development…