Job Title: AI Strategy & Transformation Lead, Commercial Banking (Senior Director level)
Work with: Executive Sponsor (COO/CTO-equivalent) at leading Commercial bank
Reports to: Global Head, Consulting at Brillio
Role Purpose:
This role is the embedded AI strategy partner to a senior banking executive, responsible for defining and driving the organization's AI adoption agenda from the ground up. It is not a delivery role and not a pure strategy role either. It requires someone who can set direction, build the internal case for change, work effectively across a large organization without formal authority over most of the people they need to influence, and then build and lead the team that will execute against that direction.
Key Responsibilities:- AI Strategy
- Define the AI strategy and roadmap for the commercial banking technology and business organization, translating executive intent and market pressure into a sequenced set of priorities
- Identify where AI creates real operating leverage in commercial banking specifically (credit underwriting support, loan operations, treasury servicing, relationship manager tooling, document-heavy compliance processes) versus where it is hype
- Stay ahead of the market on AI capability, positioning, and competitive movement, and translate that into points of view the executive sponsor can act onCross-Functional Influence and Stakeholder Management
- Build relationships and credibility across business lines, risk, compliance, and technology leadership to drive AI adoption without relying on direct reporting authority
- Identify and address organizational resistance to AI initiatives, whether rooted in risk aversion, competing priorities, or unfamiliarity with the technology
- Manage sensitive stakeholder dynamics discreetly, outside of formal documentation, engaging directly with the individuals and groups involved
- Anticipate where existing governance, risk, or procurement processes could slow AI initiatives, and engage the relevant owners early to keep momentum
- Team Building
- Define the roles, skills, and org structure for a new AI product management and strategy function from scratch
- Recruit, hire, and stand up a team of AI product managers and AI strategists
- Build the operating model for how that team engages with business lines: intake process, prioritization, delivery partnership with technology
- Establish career paths and a competency model for AI product roles, since this function likely does not exist yet in a form the organization recognizes
- Change Management
- Own adoption strategy for AI tools and workflows across affected business functions, including training, communications, and champion networks
- Build the narrative and materials that make the case for AI adoption to skeptical or risk-averse stakeholders
- Design and track adoption metrics that go beyond tool usage to actual behavior and workflow change
Required Experience:- 15+ years in technology strategy consulting or enterprise technology leadership, including prior experience establishing a new function or capability within a large organization
- Direct experience in banking or another heavily regulated industry, with working knowledge of how initiatives are evaluated by risk, compliance, and governance functions 3-5+ years of applied experience in AI strategy, product management, or transformation leadership
- Proven track record building and leading product or strategy teams, not just staffing existing ones
- Strong organizational influence skills, evidenced by prior roles where the person drove change across teams they did not formally manage
- Change management experience at an enterprise scale, not just project-level adoption plans
- Demonstrated ability to operate effectively with significant ambiguity and limited existing infrastructure
- What Success Looks Like in Year One
- A defined AI strategy and roadmap has executive sponsorship and cross-functional buy-in
- A core AI product management and strategy team is hired and operating
- At least one or two AI initiatives have moved from concept to adopted workflow in a live business function
- The organization has a repeatable process for evaluating and prioritizing new AI opportunities, rather than one-off pilots
