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... POSITION OVERVIEW BDC views data and AI as critical enterprise assets and capabilities that must be managed, governed and continuously evolved to create value for Canadian entrepreneurs and for the organization. Reporting to the Chief Data and AI Officer, the AVP, Data & AI is a senior Data Office leader accountable for building and leading the capability chapters that enable BDC's data, analytics and AI ambitions. This role is a leader of leaders. The incumbent leads, coaches and aligns Chapter Leads, SMEs and Delivery Leads across core capability areas, including Data Engineering, Analytics & BI Engineering, Advanced Analytics & AI, and Intelligent Automation. The AVP establishes the leadership routines, standards,



talent practices and capability roadmaps required to develop high-performing chapters and to ensure that expertise is deployed effectively in support of enterprise priorities. The AVP is also responsible for supporting and shaping the technical vision for their sphere of expertise. In close collaboration with the CDAIO, IT leaders, Product/Program Delivery Managers, Data & AI Governance, business partners, risk, legal and compliance stakeholders, the incumbent ensures that technical direction, architecture choices, engineering standards and delivery practices are coherent, scalable, secure and aligned with BDC's transformation agenda. The role enables delivery units and squads, including Horizon / Data Hub Platform and AI Transformation initiatives, by ensuring they have access to the right chapter capabilities, technical guidance, reusable patterns and delivery support. The AVP champions a culture where data and AI are treated as enterprise capabilities, where teams are empowered by clear guardrails, and where analytics, automation and AI generate tangible business outcomes while managing risk appropriately. The incumbent is expected to be a visible champion of collaboration, technical excellence, pragmatic innovation and BDC’s cultural norms. They must build trusted relationships across the organization and translate strategic priorities into capability development, execution discipline and measurable value. CHALLENGES TO BE MET Leadership and capability chapters Lead, coach and develop Chapter Leads and senior specialists responsible for Data Engineering,



Analytics & BI Engineering, Advanced Analytics & AI, and Intelligent Automation capabilities. Establish explicit chapter mandates, leadership routines, capability roadmaps, talent plans, communities of practice and performance expectations for each capability area. Create the conditions for technical leaders to scale their expertise across squads and initiatives rather than operating as isolated delivery resources. Build a strong culture of collaboration, accountability, continuous improvement, knowledge sharing and pragmatic delivery excellence. Technical vision, standards and architecture alignment Support the CDAIO in defining and communicating the technical vision for data, analytics, AI and automation capabilities within the Data Office. Partner with IT architecture, security, risk, privacy, governance and platform leaders to ensure that solution patterns, technology choices and engineering practices are scalable, secure, sustainable and aligned with enterprise standards. Oversee the evolution of technical standards, reusable patterns, delivery playbooks, data and AI engineering practices, and quality expectations across chapters. Provide senior technical guidance and decision support for priority initiatives, including Data Hub / platform modernization, AI Transformation and intelligent automation capabilities. Delivery enablement and enterprise value Ensure squads and delivery teams have access to the right chapter capabilities, technical expertise and delivery support to execute roadmap priorities. Collaborate with PDMs, business partners and transformation leaders to translate business outcomes into practical capability needs, sequencing decisions and delivery plans. Enable analytics, BI, AI a

📌 ASSISTANT VICE-PRESIDENT, DATA (Montreal)
🏢 Business Development Bank of Canada
📍 Montreal