Director, AI-Enabled Business Solutions

Why Ryan

• Competitive Compensation and Benefits
• Business Connectivity Reimbursement (Phone/Internet)
• Gym Membership or Equipment Reimbursement
• LinkedIn Learning Subscription
• Flexible Work Environment
• Tuition Reimbursement After One Year of Service
• Accelerated Career Path
• Award-Winning Culture & Community Outreach

Key Responsibilities:

AI Acceleration & Business Enablement

• Identify prioritise and accelerate AI-enabled use cases aligned to EAP strategic priorities.
• Translate business challenges into deployable AI solutions that deliver measurable value.
• Drive adoption of AI across priority service lines functions and client offerings.

Solution Design & Delivery

• Partner with technology product and data teams to design AI solutions that are secure scalable and compliant.
• Ensure AI solutions integrate effectively with existing platforms (e.g. ARM portals data platforms).
• Oversee pilots through to production ensuring clear ownership controls and handover to BAU teams.

Commercial Impact & Growth

• Support the development of AI-enabled propositions that differentiate EAP services and support revenue growth.
• Partner with client and market leadership to embed AI into client offerings and delivery models.
• Quantify and track value delivered through AI initiatives (cost reduction productivity revenue).

Governance Risk & Responsible AI

• Ensure AI initiatives align with enterprise risk security data governance and responsible AI standards.
• Establish clear decision frameworks controls and success metrics for AI adoption.
• Act as a trusted advisor to leadership on AI risk opportunity and prioritisation.

Stakeholder Leadership

• Operate as a senior business partner across EAP influencing leaders without direct authority.
• Collaborate with global AI and technology counterparts to ensure alignment and reuse.
• Build AI literacy and confidence across business leadership and delivery teams.

Measures of Success

• Measurable business value delivered through AI initiatives (efficiency growth risk reduction).
• Increased adoption of AI-enabled solutions across EAP service lines.
• Reduction in manual effort and process friction through AI automation and augmentation.
• Successful transition of AI solutions from pilot to enterprise-scale delivery.
• Positive leadership and stakeholder feedback on clarity impact and governance of AI initiatives.

Education

• Bachelors degree in Business Information Technology Computer Science Engineering Data Analytics or related field required.
• Masters degree (MBA Technology Management AI/Data-related discipline) preferred.
• Relevant certifications in AI automation cloud technologies agile delivery or digital transformation are advantageous.

Computer Skills

• Strong understanding of Generative AI platforms and enterprise AI adoption practices.
• Experience working with AI tools such as Claude ChatGPT Microsoft Copilot or similar LLM platforms.
• Familiarity with AI-enabled workflow automation and human-in-the-loop agentic solutions.
• Knowledge of enterprise data platforms automation tools and service delivery technologies.
• Experience collaborating with product engineering data and platform teams in enterprise environments.
• Proficiency with Microsoft Office Suite particularly PowerPoint Excel and Teams.
• Familiarity with project and collaboration tools such as Jira Confluence Miro or similar platforms is preferred.
• Understanding of AI governance data privacy security and responsible AI principles.

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