Job Description

Leads enterprise AI enablement, automation, and process transformation initiatives by identifying, implementing, and scaling technology-enabled solutions that improve productivity, operational effectiveness, and business outcomes. Develops enterprise AI strategy, reusable frameworks, operating models, change management programs, and cross-functional partnerships while leading a small technical team.

What you will do

Enterprise AI Enablement & Transformation Strategy

• Partner across business units and technology teams to help shape and operationalize the organization’s Enterprise AI strategy

• Collaborate with teams to identify high-impact AI use cases aligned to business priorities and measurable outcomes

• Help enable adoption of AI tools, copilots, agentic workflows, and intelligent automation capabilities to augment employee productivity

• Develop repeatable frameworks and reusable patterns that help teams scale successful AI initiatives

• Support organizational alignment around shared AI capabilities, tooling approaches, and operational best practices

• Serve as a strategic advisor and enablement partner on emerging AI technologies, capabilities, and market solutions

• Identify opportunities to streamline workflows, eliminate manual effort, and improve operational effectiveness through AI and automation

Cross-Functional Alignment & Operating Model Enablement

• Partner with business units to uncover unmet needs, duplicated efforts, and operational inefficiencies

• Help connect teams working on similar problems to encourage reuse, shared learning, and scalable solutions

• Facilitate forums and working sessions to surface, prioritize, and scale high-impact opportunities across the organization

• Support clearer ownership models, operational interfaces, and decision-making pathways where coordination challenges exist

• Act as a bridge between business stakeholders, operations teams, and technical delivery teams

• Help teams execute more effectively by reducing unnecessary friction and improving access to shared capabilities

• Drive consistency in how AI initiatives are evaluated, prioritized, and scaled across the organization

Enterprise AI Solutions & Enablement

• Partner with business and technology teams to identify opportunities for AI-enabled transformation and operational improvement

• Partner with business, data and technology teams to improve data readiness, quality, and accessibility, helping ensure enterprise data is fit for AI, automation, and analytics use cases.

• Support the design, implementation, and scaling of AI and automation solutions that deliver measurable business value

• Develop reusable tools, templates, playbooks, and accelerators that enable faster adoption and implementation

• Improve visibility into AI initiatives, dependencies, tooling, and business outcomes across the enterprise

• Help teams leverage enterprise platforms and capabilities more effectively while avoiding duplication of effort

• Establish best practices that promote scalability, maintainability, and long-term value realization

• Foster a culture of experimentation, learning, and continuous improvement around AI and automation

Change Management & Adoption

• Treat organizational change management as a core enablement capability required for successful transformation

• Help teams adopt AI and automation capabilities through practical rollout strategies, training support, communications, and operational readiness planning

• Build trust and confidence in enterprise AI capabilities through transparency, usability, and partnership

• Develop feedback loops that help teams learn from implementation outcomes and continuously improve solutions

• Promote sustainable adoption with a strong focus on business value, employee experience, and measurable outcomes

• Support broader organizational AI literacy across both technical and non-technical audiences

• Define and track metrics related to adoption, usage, productivity gains, and business impact of AI and automation initiatives

• Champion success stories and best practices to accelerate enterprise-wide learning and adoption

• This version positions the role as an enterprise transformation and AI enablement leader rather than an oversight or governance function, making it more focused on helping the business adopt, scale, and realize value from AI.

You need to have

Qualifications:

• 10+ years of progressive leadership experience in business transformation, digital transformation, operations, enterprise technology, management consulting, or related fields

• Demonstrated success leading cross-functional initiatives that drive organizational change, process improvement, and business outcomes

• Experience identifying, prioritizing, and scaling technology-enabled solutions across multiple business functions

• Strong understanding of AI, generative AI, automation, workflow technologies, copilots, and emerging enterprise technology trends

• Experience partnering with senior business leaders to translate strategic priorities into executable programs and measurable results

• Proven ability to influence without direct authority and build alignment across diverse stakeholder groups

• Experience leading teams and developing high-performing talent in complex, matrixed organizations

• Strong program management and execution skills, with the ability to manage multiple initiatives simultaneously

• Excellent communication, facilitation, and relationship-building skills, with the ability to engage audiences ranging from frontline employees to executive leadership

• Demonstrated ability to balance strategic thinking with hands-on execution and delivery

Education:

• Bachelor's degree in Business, Technology, Information Systems, Engineering, Operations, or a related field required

• Master's degree (MBA, Technology Management, Information Systems, or related discipline) preferred

• Relevant certifications in AI, digital transformation, project management, change management, agile methodologies, or process improvement are a plus

What Success Looks Like

• In this role, you will help the organization realize measurable value from AI and automation by enabling teams to work more effectively, scale successful solutions, and accelerate transformation initiatives.

• You will serve as a trusted partner across the enterprise, helping bridge strategy and execution while fostering a culture of innovation, collaboration, and continuous improvement.

Compensation Range:

Placement in the salary range will be decided upon completion of the interview process. Salary determination will be determined based on factors including but not limited to relevant experience, demonstrated skills related to the requirements of the role, education, certifications, and geographic location.

Equal Opportunity

Bloomberg Industry Group maintains a continuing policy of non-discrimination in employment. It is Bloomberg Industry Group’s policy to provide equal opportunity and access for all persons, and the Company is committed to attracting, retaining, developing, and promoting the most qualified individuals without regard to age, ancestry, color, gender identity or expression, genetic predisposition or carrier status, marital status, national or ethnic origin, race, religion or belief, sex, sexual orientation, sexual and other reproductive health decisions, parental or caring status, physical or mental disability, pregnancy or maternity/parental leave, protected veteran status, status as a victim of domestic violence, or any other classification protected by applicable law (“Protected Characteristic”). Bloomberg prohibits treating applicants or employees less favorably in connection with the terms and conditions of employment, in all phases of the employment process, because of one or more Protected Characteristics (“Discrimination”).