Enterprise AI and Emerging Technologies Leader

Crown Equipment Corporation

2d•Hybrid

About The Position

Crown Equipment Corporation is seeking an Enterprise AI and Emerging Technologies Leader. This role involves collaborating with executive leadership, business stakeholders, and technology leaders to identify AI-enabled and emerging-technology opportunities aligned with business goals and strategic objectives. The leader will define and maintain the enterprise AI and emerging technology vision, principles, roadmap, and three-to-five-year target state. The position is responsible for establishing portfolio-level direction, prioritization frameworks, and value-tracking mechanisms for AI and emerging technology initiatives, ensuring they are clearly positioned, scoped, and architecturally aligned for effective delivery. The role also includes reviewing proposed solution approaches for alignment with enterprise architecture, data strategy, security, and long-term technology direction, developing reference architectures, standards, and guidance, and identifying gaps between current and target capabilities. Additionally, the leader will assess technologies in the context of organizational readiness, scalability, security, regulatory considerations, and cost, define evaluation criteria, guide proof-of-concept efforts, and provide strategic guidance on build-versus-buy considerations. Establishing and leading governance practices for AI and emerging technologies, including policy development, ethical use guidelines, regulatory alignment, and risk mitigation, is also a key aspect of this role. This is a hybrid remote position requiring a reasonable driving commute (1-2 hours) to the New Bremen, OH location. Relocation assistance is available.

Requirements

Bachelor’s degree in business, technology, analytics, engineering, or a related field.
10+ years of experience in enterprise technology leadership, AI, data, or digital strategy roles, including people management responsibilities.
Demonstrated experience working with enterprise architecture, governance models, and senior technology leadership.
Strong analytical, communication, and stakeholder engagement skills.

Nice To Haves

Experience with responsible AI frameworks and technology governance standards (e.g., NIST AI RMF, ISO/IEC 42001).
Experience evaluating, governing, and guiding adoption of emerging technologies in an enterprise environment.
Proven ability to operate effectively in a non‑delivery leadership role that partners closely with execution teams.
Innovative, systems‑level thinking with the ability to balance near‑term needs and long‑term strategy.
Familiarity with cloud platforms, data platforms, automation technologies, and modern AI/ML development practices.

Responsibilities

Collaborate with executive leadership, business stakeholders, and technology leaders to identify AI‑enabled and emerging‑technology opportunities aligned to business goals and strategic objectives.
Define and maintain the enterprise AI and emerging technology vision, principles, roadmap, and three‑to‑five‑year target state.
Establish portfolio‑level direction, prioritization frameworks, and value‑tracking mechanisms for AI and emerging technology initiatives.
Ensure initiatives are clearly positioned, scoped, and architecturally aligned to enable effective delivery by execution teams.
Review proposed solution approaches for alignment with enterprise architecture, data strategy, security requirements, and long‑term technology direction, without owning build or delivery execution.
Develop and maintain reference architectures, standards, patterns, and guidance that inform consistent and scalable adoption.
Identify gaps between current capabilities and the target architecture, and define transition strategies, sequencing guidance, and risk considerations to support delivery teams.
Assess technologies in the context of organizational readiness, scalability, security, regulatory considerations, and cost.
Define evaluation criteria and decision outcomes (e.g., observe, pilot, adopt, or defer) and guide proof‑of‑concept efforts in partnership with delivery and platform teams.
Provide strategic guidance on build‑versus‑buy considerations and vendor capabilities as technologies progress from experimentation toward enterprise adoption.
Establish and lead governance practices for AI and emerging technologies, including policy development, ethical use guidelines, regulatory alignment, and risk mitigation.
Ensure architectural guardrails, standards, and decision forums are in place to support consistent and compliant adoption.