Chief Data, Analytics, and AI Officer

Dickinson Financial Corp•Kansas City, MO

22h•Onsite

About The Position

The Chief Data, Analytics and AI Officer (CDAO) sets the enterprise vision, strategic priorities, operating model, and agenda for data, analytics, artificial intelligence, and business innovation across DFC and its Affiliate Banks. Reporting to the Chief Executive Officer, the CDAO positions data as an enterprise asset and advances responsible analytics and AI to improve client outcomes, growth, efficiency, risk management, and executive decision-making. The CDAO leads enterprise alignment, investment prioritization, and value realization rather than daily technology operations or detailed data-governance execution. The role partners with the Chief Technology Officer (CTO), business leaders, Risk, Compliance, Information Security, and the Director of Data Strategy & Governance to convert strategy into a coordinated portfolio with measurable outcomes.

Requirements

Enterprise strategic leadership across data, analytics, AI, digital transformation, and operating models.
Ability to translate business strategy into a prioritized portfolio with measurable financial, client, operational, and risk outcomes.
Executive presence to advise Boards, the CEO, regulators, and senior leaders and explain complex concepts clearly.
Strong knowledge of responsible AI, model and data governance, privacy, information risk, regulatory expectations, and controls in regulated environments.
Working knowledge of modern data architecture, cloud platforms, master data, metadata, data quality, advanced analytics, generative and agentic AI, and decision intelligence.
Success leading transformation across matrixed business, technology, risk, and control organizations.
Ability to establish governance, decision rights, operating models, investment priorities, and performance measures.
Strong financial acumen in business cases, portfolio prioritization, budgets, vendor evaluation, and benefits realization.
Ability to build multidisciplinary teams and enterprise capability through centers of excellence, federated models, or similar structures.
Excellent judgment, integrity, organization, collaboration, communication, and decision-making.
Bachelor’s degree in a relevant business, data, technology, mathematics, engineering, or finance field, or equivalent experience, required; advanced degree preferred.
At least 15 years of progressively responsible experience in data, analytics, AI, technology-enabled transformation, or related disciplines, including significant enterprise leadership.
Experience developing enterprise data, analytics, and AI strategy and leading complex, cross-functional transformation.
Experience establishing operating models, governance frameworks, centers of excellence, and executive performance reporting.
Experience moving analytics or AI from concept to scalable adoption with measurable business value.
Supervisory and executive management experience required.

Nice To Haves

Experience in banking, financial services, insurance, asset management, fintech, or another regulated industry strongly preferred.
Experience advising Boards and C-suite leaders and partnering with Technology, Risk, Compliance, Legal, Information Security, Finance, and Internal Audit strongly preferred.
Merger integration, platform modernization, global or matrixed leadership, and participation in fintech, banking innovation, AI, digital-assets, or payments forums preferred.

Responsibilities

Develop the enterprise data, analytics, and AI vision and multi-year strategy aligned with the Company’s strategic plan, risk appetite, client priorities, and financial objectives.
Advise the Board, CEO, and executive leadership on opportunities, investments, emerging risks, enterprise readiness, and progress against strategic outcomes.
Establish AI and Innovation operating model to include: prioritize use cases; define outcomes; and track adoption, productivity, revenue, cost, client, and risk benefits.
Chair or sponsor enterprise AI and Innovation governance committees with clear decision rights, accountability, escalation paths, and portfolio standards.
Own enterprise AI strategy, including generative and agentic AI, and establish responsible AI oversight for intake, risk tiering, model governance, human accountability, monitoring, and appropriate use.
Serve as the executive leader responsible for the Banks’ strategic direction related to AI and innovation. Actively participate on the Fintech Committee and engage in relevant conferences, industry forums, regulatory discussions, and working groups to identify and evaluate opportunities, including tokenized deposits, stablecoins, digital assets, and other emerging financial technologies. Coordinate with the CTO, Risk, Compliance, Legal, Finance, and business sponsors before recommending investment or adoption.
Establish an operating model connecting business ownership, data stewardship, analytics, data science, AI enablement, governance, and technology delivery without duplicating functional responsibilities.
Partner with the CTO on platform and architecture roadmaps. The CDAO defines business priorities, information needs, and value requirements; the CTO owns technology architecture, engineering standards, infrastructure, cybersecurity technology, reliability, and technical delivery.
Provide executive direction for data governance, quality, metadata, master data, lineage, privacy, and stewardship. Detailed administration, remediation, data operations, reporting, and governance execution remain with the Director of Data Strategy & Governance and designated business owners.
Guide enterprise analytics, management information, performance measures, advanced analytics, and executive insights while business leaders retain ownership of decisions and outcomes.
Build data and AI literacy through executive education, role-based learning, communities of practice, and adoption programs.
Evaluate investments, partnerships, build-versus-buy decisions, capabilities, and vendors in alignment with enterprise architecture and third-party risk requirements.
Collaborate with Risk, Compliance, Legal, Internal Audit, Information Security, Model Risk Management, and business controls to support regulatory readiness and sustainable controls.
Support mergers, acquisitions, and strategic partnerships by assessing capabilities, governance maturity, integration implications, value opportunities, and transition priorities.
Manage the approved strategic portfolio and budget with Finance, the CTO, and business sponsors.
Protect client and bank information; follow Company policies; promote the Pillars of Success; complete required training; and perform other assigned duties.
Travel up to 10-15% as needed. Regular work at the downtown Kansas City worksite is required.