AI Enablement Director

Central Bancompany•Jefferson City, MO

About The Position

The Director, AI Enablement, leads enterprise business transformation through practical, responsible AI across Central Bancompany. The 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. It 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. The position partners across business lines and with technology, data, risk, compliance, legal, finance, and procurement teams to identify, assess, prioritize, and deliver AI opportunities. It establishes portfolio processes, supports business cases and outcome measurement, coordinates adoption and training, evaluates vendors and emerging capabilities, and reports progress and recommendations to executives. The role is based in a major Central Bancompany market in Missouri, with regular in-person collaboration and travel between company locations expected.

Requirements

Proven cross-functional transformation, product, program, or innovation leadership, delivering implementation, adoption, and measurable business outcomes.
Creative and strategic problem-solving, a holistic enterprise perspective, and demonstrated ability to redesign processes and develop practical solutions.
Strong executive facilitation and communication with technical and nontechnical audiences; ability to influence without direct authority and resolve competing priorities.
Experience developing business cases, defining success measures, and evaluating investment tradeoffs, adoption, and realized benefits.
Working knowledge of AI capabilities, limitations, and potential business applications, supported by curiosity, sound judgment, and ability to learn emerging technologies.
Ability to partner with technical and risk specialists to assess opportunities and support responsible adoption; AI research or engineering expertise is not required.
Strong portfolio management, change leadership, and organizational execution, with the ability to establish discipline and deliver in an evolving organization.
Strong general business acumen, particularly in business transformation, operations, product management, or strategy.
Relevant capabilities may be demonstrated through varied career paths and equivalent experience; no specific degree or certification is required.
Regular in-person collaboration with the Chief Enterprise Architect, business leaders, and delivery partners is essential.
Travel between company locations is expected to support relationship building, working sessions, and implementation activities.

Nice To Haves

Experience working in banking or regulated financial services, with foundational understanding of banking products, customer needs, operations, and business strategies sufficient to engage credibly with leaders across business lines; deep expertise in individual banking disciplines is not required.
Practical experience applying AI tools or contributing to AI-enabled business initiatives.
Familiarity with enterprise data, semantic models, integration, and modernization dependencies.
Relevant change management, product, or program management credentials are welcome but not required.

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 may benefit multiple business lines.
Build business sponsorship, clarify ownership of adoption and outcomes, and resolve competing priorities through influence, facilitation, and escalation.
Lead the AI Innovation Hub’s operating model, including enterprise intake and backlog, opportunity assessment, stage gates, prioritization recommendations, progress checkpoints, and quarterly portfolio reviews.
Assist sponsors and Finance with business cases, 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 and 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 identify opportunities using business insights, 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 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.