AI Enablement Lead

Hajoca CorporationWhitemarsh Township, PA
Hybrid

About The Position

The AI Enablement Lead leads the development and execution of AI enablement across Hajoca by establishing guardrails, policies, and scalable processes that support responsible AI adoption. Partnering with business and technology leaders across the organization, the AI Enablement Lead evaluates AI tools and use cases while translating emerging technologies into clear, practical guidance. They are responsible for driving organization-wide awareness, training, and the sustained adoption of AI-enabled workflows while ensuring alignment across stakeholders to balance innovation with risk.

Requirements

  • Bachelor's or Master’s degree in Computer Science, Data Science, Information Systems, Business, or a related field preferred.
  • 5 or more years of progressive experience in technology, technology risk, governance, consulting, product management, or a related field — with meaningful exposure to AI or emerging technology adoption.
  • Direct experience working with generative AI tools, AI platforms, or AI governance frameworks (e.g., NIST AI RMF, ISO/IEC 42001) preferred.
  • Demonstrated ability to translate emerging technology concepts into clear business guidance for non-technical audiences.
  • Experience working across business and technology stakeholders to develop practical policies, processes, or programs.
  • Experience leading or supporting technology adoption initiatives, with an ability to drive sustained behavior change — not just launch and move on.
  • Strong written and verbal communication skills, with the ability to write for executives, frontline teammates, and everyone in between.
  • Sound judgment, a builder’s mindset, and comfort operating in a function that is still being defined.
  • Experience producing structured implementation materials — workflow designs, process documentation, requirements, or playbooks — in support of technology programs.
  • Background in cyber security, IT risk, privacy, or compliance, in addition to AI.
  • Experience with vendor evaluation, risk assessment, or technology contracting in an enterprise environment.
  • Ability to provide leadership through influence by establishing credibility, building strong relationships, facilitating collaboration, and driving results across cross-functional teams without direct supervisory authority.
  • Experience in a multi-site or distributed business environment (distribution, retail, manufacturing, or similar).
  • Strong interpersonal skills to build relationships and lead discussions.
  • Demonstrate leadership qualities—innovation, decision‑making, mentoring, and influencing others.
  • Ability to work effectively in cross‑functional teams and adapt to changing requirements.
  • Quick learner who can master new technologies and collaborate effectively.
  • Willing and able to travel, up to 15%

Responsibilities

  • Help shape and execute Hajoca’s strategy for enabling responsible AI adoption across the business.
  • Establish and maintain practical guardrails — policies, review processes, intake flows, and training — that allow the business to move quickly with AI while managing risk appropriately.
  • Define what “good” looks like for AI usage at Hajoca and continuously evolve that definition as capabilities and the regulatory landscape change.
  • Document repeatable patterns, standards, and playbooks that improve the consistency and scalability of AI enablement across departments.
  • Define and track measures of success — adoption rates, usage trends, tool performance, and emerging risk signals — and present findings to the Sr. Manager and senior stakeholders to drive accountability and inform decisions.
  • Partner with business and technology leaders to evaluate proposed AI tools and use cases, identifying both opportunities and risks.
  • Serve as a trusted advisor to leaders considering AI investments — helping them frame problems, evaluate vendors, and structure pilots responsibly.
  • Translate prioritized use cases into implementation-ready materials: workflow definitions, process considerations, requirements, and clear acceptance criteria that implementation teams can act on.
  • Maintain visibility into AI activity across the company so the function can identify common patterns, scaling opportunities, and emerging risks.
  • Develop and deliver AI awareness and training content for teammates at all levels — frontline, branch leadership, NSC, and executive audiences. Partner with the Learning Center team and Marketing & Communications to develop and distribute content that lands effectively at scale.
  • Lead targeted change adoption efforts in partnership with profit center leadership to drive effective, sustained use of AI-enabled workflows — not just initial rollout, but lasting behavior change.
  • Build a clear, accessible knowledge base of AI guidance, FAQs, and approved tools that teammates can rely on.
  • Stay current on AI capabilities, regulatory developments, and industry practices, and translate them into clear, practical guidance.
  • Partner closely with the Manager, Cyber Security to ensure AI enablement and cyber security remain aligned on shared risks — data handling, third-party tools, and identity.
  • Partner with Procurement, Legal, and Information Security to oversee vendor relationships and contractual considerations for AI tools in use at Hajoca. Assess security, privacy, and compliance implications for new tools and ensure appropriate safeguards are in place prior to deployment.
  • Escalate vendor service issues and coordinate remediation with internal stakeholders as needed.
  • Coordinate with Legal, HR, and Procurement on AI-related contracting, policy, and acceptable use questions.
  • Partner with the Sr. Manager and Finance to maintain visibility into AI tool licensing and spend — tracking allocation across business units and ensuring the portfolio remains within budget parameters.
  • Partner with Middleware Engineering and the Data & Analytics team to ensure AI use cases access data through governed, well-understood pathways — aligning on integration patterns, data source of record, access controls, and appropriate use of enterprise data in AI-enabled workflows.
  • Successfully complete required safety and compliance training programs as assigned.
  • Perform other reasonably related duties as assigned by immediate supervisor and other management as requested.

Benefits

  • Profit-Sharing Program
  • Medical, dental, vision, and prescription coverage
  • Accident, Hospital Indemnity, and critical care coverage
  • Life insurance and Long Term Disability
  • Pre-tax accounts for healthcare, dependent care, and commuter benefits
  • Paid vacation, holidays, and sick time
  • Paid pregnancy and parental leave
  • Paid day of community service
  • 401(k)
  • Retirement cash account with company contributions
  • Targeted training programs focused on your personal and professional growth
  • Company wellness program
  • Employee discounts
  • College tuition benefits
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