AI Enablement Director

Position summary

The Director, AI Enablement, leads enterprise business transformation through practical, responsible AI across Central Bancompany. This role leads the AI Innovation Hub and partners with business leaders to redesign workflows and customer journeys, turning opportunities into adopted capabilities with measurable value. The Director connects business priorities, technology delivery, data readiness and independent risk oversight. Business leaders own their priorities, adoption and outcomes; the Director establishes the partnerships and operating discipline that enable sustainable improvements.

Key Responsibilities

• Co-lead discovery workshops with Retail, Commercial, Mortgage, Wealth, Operations and market leaders to identify AI opportunities that improve service, productivity, quality and decision-making.
• Assist business leaders with AI-enabled redesign of end-to-end workflows and customer journeys, challenging existing processes and identifying shared capabilities that benefit multiple business lines where possible.
• Build business sponsorship, clarify adoption and outcome ownership and resolve competing priorities through influence, facilitation and escalation.
• Lead the Hub’s operating model: one enterprise intake and backlog, opportunity assessment, stage gates, prioritization recommendations, progress checkpoints and quarterly portfolio reviews.
• Assist in developing business cases with sponsors and Finance, establish baseline and target measures before work begins and track realized value, costs and adoption.
• Partner with CTS architecture, programming and delivery teams on feasibility, data readiness and integration dependencies; evaluate whether to activate existing tools, buy capabilities or selectively build.
• Engage Risk, Compliance and Legal early; treat required approvals as implementation gates. Help coordinate compliance with approved-use, privacy, security and model-risk requirements, supporting Risk’s model inventory while preserving independent governance oversight.
• Partner with Business Intelligence, Data and Analytics teams to use business insights to identify AI opportunities, align initiatives with shared enterprise data and analytics capabilities and support reliable outcome measurement.
• Assist business owners with adoption planning, coordinate role-based training and champion approved tool and knowledge catalogs informed by usage feedback.
• Report on pipeline, delivery, realized value, spend, risks and blockers to executives; present investment recommendations and proposed decisions for Executive Committee approval.
• Assess vendors against business needs and value, partnering with CTS, Risk, Compliance, Legal and Procurement on technical evaluation, controls, contracts and purchasing.
• Evaluate emerging AI capabilities and industry practices, translating practical findings into business opportunities within established controls.
• Coach partners, establish repeatable enablement practices and help shape team capabilities and responsibilities as the organization evolves.