Director, AI Business Enablement

Royal Bank of CanadaToronto, ON
Onsite

About The Position

We're looking for a driven problem-solver with AI fluency and business acumen who can partner with senior business stakeholders to identify and develop high-impact AI transformation opportunities. As a Director on the AI Business Enablement team, you will own a sub-segment within a Line of Business or Function — driving opportunity identification, solution concept development, and program framing in close collaboration with your vertical leadership. You will engage VP/SVP-level business leaders with credibility and rigour — bringing a blend of consultative problem-solving, AI knowledge, and hands-on experience delivering technology-driven outcomes.

Requirements

  • 8–12 years of progressive experience in management consulting, technology, AI/ML product development, or a combination thereof
  • A track record of contributing to the delivery of AI or technology-driven solutions that created material business impact — strategy and advisory experience is valued, but must be complemented by hands-on involvement in delivery outcomes
  • Can engage VP/SVP-level business stakeholders with credibility — able to earn trust, challenge thinking, and drive alignment
  • Demonstrated experience in process re-engineering or business model redesign, ideally enabled by technology or data
  • Experience partnering with technical or engineering teams to translate business requirements into solution design and ensure delivery stays aligned to intended business outcomes
  • Bring a consultative problem-solving approach — able to structure ambiguous problems, develop hypotheses, and drive to action quickly
  • A working knowledge of AI/ML technologies, LLMs, and data platforms — sufficient to credibly assess feasibility, shape solution concepts, and engage technical teams

Nice To Haves

  • Banking or financial services experience is welcome but not required; what matters is the ability to rapidly develop domain depth and business-model understanding in complex industries

Responsibilities

  • Business stakeholder engagement: Building and maintaining strong relationships with VP/SVP-level business leaders within your sub-segment; understanding their priorities, pain points, and transformation opportunities
  • Pipeline development: Identifying, sizing, and developing AI transformation opportunities within your sub-segment — contributing to a rigorous pipeline with quantified value hypotheses ready for delivery intake
  • AI solution concept development: Generating innovative AI solution concepts for business problems and supporting validation through rapid POC cycles (weeks, not quarters)
  • Business model & process re-engineering: Working with business stakeholders to rethink processes and operating models through an AI-enabled lens
  • Program framing: Supporting business case development, go-to-market strategy, and program framing to ensure ideas translate into executable plans
  • Delivery partnership: Working closely with our AI Solutions and Research teams to ensure business context and outcomes expectations are carried through into delivery — maintaining alignment between transformation ambition and the technical execution path
  • Cross-enterprise collaboration: Contributing to cross-vertical pattern recognition by surfacing reuse opportunities and horizontal themes observed within domain

Benefits

  • A comprehensive Total Rewards Program including bonuses and flexible benefits, competitive compensation, commissions, and stock options where applicable
  • Leaders who support your development through coaching and managing opportunities
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