Applied AI and Business Enablement Director (E6116)

Job Summary

The Director, Applied AI & Business Enablement is a newly created, high-visibility leadership role within the Data & Analytics organization. Reporting to the Chief Data Officer, this leader will serve as the primary bridge between the enterprise's data and AI capabilities and its business partners, driving AI adoption, literacy, and strategic value realization across the organization.

This is not a model-building or tool-development role. The ideal candidate is a practitioner and evangelist—someone with deep, hands-on fluency in modern AI tools (large language models, copilots, agentic frameworks, and no-code/low-code AI platforms) who can translate that expertise into business impact. They will partner directly with senior business leaders to identify high-value AI opportunities, upskill teams, and shape the organization's applied AI roadmap.

This role sits as a peer to the Directors of Enterprise Data Science, Commercial Data Science, Data Governance, and Data Engineering, serving as the connective tissue between what those teams build and what the business needs.

Key Responsibilities

• How You Will Make An Impact
• AI Literacy & Business Upskilling
• Design and deliver enterprise-wide AI education programs tailored to business audiences—executives, functional leaders, and individual contributors
• Teach business partners how to effectively interact with data and AI tools, including prompt engineering, evaluating AI outputs, and understanding tool capabilities and limitations.
• Develop reusable enablement assets: playbooks, quick-reference guides, training curricula, and use-case libraries.
• Run workshops, office hours, and hands-on demonstrations that build confidence and competence across the organization.
• Build and manage an AI Champion Network—a distributed group of power users embedded in business units who accelerate peer-to-peer adoption.
• Use Case Discovery & POC Prioritization
• Work with business units to deeply understand workflows, pain points, and strategic objectives.
• Surface high-value AI use cases that may not be immediately obvious to business partners, contributing an applied AI lens to the broader discovery process
• Contribute to AI opportunity evaluation within the prioritization frameworks being developed within IEEE to ensure AI POCs are assessed using consistent criteria
• Agentic AI Roadmapping
• Continuously evaluate the evolving landscape of agentic AI—autonomous workflows, multi-step AI agents, and intelligent automation—and translate trends into enterprise-relevant opportunities.
• Identify processes and workflows across the organization that would benefit from agentic AI, distinguishing between where human-in-the-loop augmentation vs. autonomous execution is appropriate.
• Develop the organization’s applied agentic AI roadmap in partnership with the CDO and peer Directors, including recommended pilots and phased deployment strategies.
• Serve as the organization’s subject matter expert on agentic tools and frameworks, advising on vendor capabilities, integration patterns, and readiness requirements.
• AI Governance Liaison
• Partner closely with the Director of Data Governance to ensure all enablement activities, POCs, and deployed use cases operate within established data governance and responsible AI guardrails.
• Advocate for governance as an enabler (not a blocker) of AI adoption, helping business partners understand policies around data privacy, bias mitigation, model transparency, and acceptable use.
• Contribute to the development and evolution of AI governance policies by bringing front-line feedback from business adoption efforts.
• Ensure that all AI enablement programs incorporate responsible AI principles, including fairness, explainability, and human oversight.
  
  

Travel Information

• 15% Domestic and International
  
  

Education

• Bachelor's degree or equivalent experience Bachelor's degree or equivalent required Req
• Master's or other advanced degree Advanced degree a plus Pref
  
  

Work Experience

• 10 years of progressive experience in data, analytics, AI, or technology roles, with at least 3–5 years in a business-facing advisory, enablement, or strategic consulting capacity. Req
• Deep, hands-on expertise with modern AI tools and platforms (e.g., ChatGPT/OpenAI, Claude/Anthropic, Gemini/Google, Microsoft Copilot, and equivalent enterprise tools)—as a power user, not a developer. Req
• Demonstrated ability to teach, coach, and upskill non-technical audiences on AI concepts and tools. Exceptional communication and storytelling skills. Req
• Strong understanding of data science, machine learning, and analytics concepts—enough to serve as a credible thought partner to technical teams without being a hands-on builder. Req
• Experience conducting use-case discovery, value-stream analysis, or business process assessment in a data/AI context. Req
• Familiarity with AI governance, responsible AI principles, and data privacy fundamentals. Req
• Proven ability to influence senior stakeholders, build cross-functional relationships, and drive change management in large organizations. Req
• Experience with agentic AI frameworks, autonomous workflow tools, or intelligent automation platforms. Pref
• Background in management consulting, internal strategy, or enterprise transformation programs. Pref
• Experience building AI champion networks, centers of excellence, or similar distributed enablement models. Pref
• Familiarity with no-code/low-code AI platforms and their application to business workflows. Pref
  
  

Skills And Requirements

• AI Acumen: Stays current on the rapidly evolving AI landscape and can translate emerging capabilities into practical business applications. Equally comfortable in a prompt engineering session and a boardroom strategy discussion.
• Business Orientation: Thinks in terms of business outcomes—revenue, efficiency, risk reduction, customer experience—not technology for its own sake. Leads with “what problem are we solving?”
• Communication & Influence: Exceptional presenter and facilitator. Can make complex AI concepts accessible and compelling to any audience, from frontline teams to the C-suite.
• Strategic Partnership: Operates as a trusted advisor to business leaders, building durable relationships grounded in credibility, responsiveness, and shared accountability for outcomes.
• Connector Mindset: Naturally bridges silos. Ensures business demand is channeled to the right internal teams (Data Science, Data Engineering, Governance) rather than creating parallel tracks
• Change Management: Experienced in driving organizational adoption of new tools and ways of working. Understands that technology enablement is fundamentally a people challenge.
• Leadership Skills
• Broad network in data and analytics community
• Effective leader across direct and indirect report structures
• High level of personal maturity and natural authority
• Ability to deal with decision making processes
• Excellent teamwork and ability to galvanize and inspire team
• Strong communication and persuasion skills
• Personal characteristics
• Charismatic people leader, embracing a culture of trust
• Entrepreneurial and proactive "can do attitude”
• Good measure of creativity and social competence
• High energy levels, stress resistance and cultural openness
  
  

Other Requirements

As defined in IEEE Policies, individuals currently serving on an IEEE board or committee are not eligible to apply.

PLEASE NOTE: This position is not budgeted for employer-sponsored immigration support, this includes all persons in F (both CPT and OPT), J, H, L, or O status.

For information on work demands and conditions required for this position, please consult the reference document, ADA Requirements. This position is classified under Category I - Office Positions.

All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.

===============================================

Disclaimer: This job description is proprietary to IEEE. It outlines the general nature and key features performed by various positions that share the same job classification. It is not designed to contain or be interpreted as a comprehensive inventory of all duties and qualifications required of all employees assigned to the job. Nothing in this job description restricts management’s right to assign or re-assign duties to this job at any time due to reasonable accommodations or other business reasons.

KNW-D90

Job

Min: 157,250

Primary Location

United States-New Jersey-Piscataway

Schedule

Full-time

Job Type

Regular

Job Posting

Apr 21, 2026, 10:02:40 AM