Director of AI Solutions Partners

This is a fully remote position, open to applicants in Alabama, +32 more locations.

📋 Description

• Spearhead the exploration and solution formulation for SNHU's AI engineering capabilities.

• Discover high-impact AI challenges and opportunities, transforming them into production-ready solutions.

• Navigate the journey from identifying opportunities to discovery, workflow examination, validated justification for development, and solution design.

• Organize the discovery pipeline in accordance with available pod capacity.

• Establish standards for problem definition, requirements gathering, prototyping, user validation, acceptance criteria, and scalability.

• Facilitate intake and triage with AI Engineering leadership and AI Portfolio Operations.

• Manage and prioritize the opportunity portfolio effectively.

• Provide guidance on when AI may not be the optimal tool or when process changes, existing systems, or alternative teams might offer better solutions.

• Set clear outcomes and evaluation criteria for various initiatives.

• Recruit, develop, and lead AI Solutions Partners, overseeing their performance, growth, and career trajectories.

• Create discovery playbooks, workflow mapping guides, assessment templates, requirements patterns, and practice documentation.

• Allocate AI Solutions Partners across various pods and initiatives.

• Mentor the AI organization and the broader institution.

• Personally lead intricate and high-stakes discovery projects.

• Develop prototypes, agent workflows, and operational demonstrations.

• Remain actively engaged with AI tools and agentic frameworks, working with code, architecture, solution design, and evaluating model, cost, and latency trade-offs.

• Oversee the definition aspect of the AI Product Pod model.

• Collaborate closely with Domain Product Owners, Business Sponsors, host-team leadership, AI Operations and Governance, ITS, data leadership, executive stakeholders, and academic stakeholders.

• Ensure pods take into account existing teams, platforms, and systems, enabling host teams to maintain delivered solutions.

• Participate in checkpoint reviews and highlight definition and scope risks.

• Communicate progress in actionable terms and promote AI practices throughout SNHU.

⛳️ Requirements

• Over 7 years of experience in product management, product strategy, AI or digital strategy, experience design, or a related field, including guiding ambiguous problems to delivered, production software.

• At least 2 years of experience in leading, developing, or formally mentoring practitioners, including building or expanding a team or function.

• Bachelor’s Degree in a relevant field; equivalent experience may be considered in lieu of a degree.

• Proven track record of leading discovery processes from start to finish, including stakeholder interviews, workflow analysis, opportunity assessments, and translating insights into requirements.

• Proficient understanding of applied AI, including LLMs, retrieval systems, agentic frameworks, and evaluation methodologies.

• Technical expertise to engage with code in Python, JavaScript, or TypeScript, analyze architecture, and shape solution designs.

• Hands-on experience with AI tools and agentic frameworks, including the ability to build prototypes independently.

• Familiarity with Claude and Claude Code, Microsoft Copilot, Cursor, LangGraph, AWS Strands, or the Vercel AI SDK.

• Practical expertise in defining outcomes and success metrics.

• Experience in translating complex domain problems into tangible solutions for non-technical stakeholders.

• Sound judgment to tightly scope projects, assess build vs. buy decisions, and identify when AI is not the appropriate solution.

• Excellent written and verbal communication skills.

• Preferred: background in education technology or higher education systems, experience in establishing a discovery, strategy, or product function, embedded or forward-deployed team experience, design or user experience practices, AI evaluation, and capability transfer through teaching, enablement, and documentation.

• Employees must reside in and work from one of the approved states.

🏝️ Benefits

• Comprehensive, low-deductible medical insurance.

• Affordable dental and vision plans.

• 5 weeks of paid time off.

• Nearly a dozen paid holidays.

• Employer-funded retirement plans.

• Free tuition program.

• Parental leave benefits.

• Resources for mental health and wellbeing.

• Flexible remote work arrangements.