Sr Dir, Enterprise AI Adoption & Transformation

Location: On site in Maplewood, Minnesota, or remotely based in the United States. Travel may include up to 10% domestic and international travel. Relocation assistance is authorized. Candidates must be legally authorized to work in the United States without employment visa sponsorship.

Expected compensation: $287,281–$351,122, including base pay and eligible variable incentive pay.

Company

hirify.global develops products and technologies across a wide range of industrial, commercial, healthcare, and consumer applications.

What you will do

• Develop and execute the enterprise adoption strategy for generative AI and agentic technologies.
• Lead the AI employee experience product roadmap, use-case prioritization, adoption strategy, and value delivery.
• Partner with R&D, manufacturing, supply chain, commercial, finance, legal, HR, and other functions to identify high-impact AI opportunities.
• Translate business challenges into scalable AI products, workflows, agents, knowledge experiences, and automation solutions.
• Lead AI demonstrations, workshops, roadshows, innovation sessions, and showcases while building a community of AI champions and power users.
• Collaborate with platform engineering, architecture, cybersecurity, data, cloud, privacy, and compliance teams to scale secure solutions and report business outcomes.

Requirements

• Bachelor’s degree in a technology field, completed and verified before starting.
• At least 12 years of experience in technology, digital transformation, product management, enterprise innovation, or a related field.
• Experience leading enterprise-scale technology, AI, machine learning, intelligent automation, digital workplace, or transformation initiatives.
• Experience moving AI or digital solutions from concept and pilot through production deployment and scaled adoption.
• Knowledge of generative AI, large language models, retrieval augmented generation, AI agents, enterprise search, knowledge management, model evaluation, context management, and prompt engineering.
• Strong executive communication, facilitation, presentation, coalition-building, cybersecurity, privacy, responsible AI, and enterprise risk management skills.

Nice to have

• Experience with AWS AI technologies such as Amazon Quick, Amazon Q, Amazon Bedrock, or related AWS services.
• Experience with Microsoft Copilot, ChatGPT Enterprise, Glean, Google Gemini, Salesforce Agentforce, or ServiceNow AI.
• Experience with SAP, Microsoft 365, ServiceNow, Salesforce, cloud data platforms, APIs, and structured or unstructured enterprise information.

Culture & Benefits

• Collaborative environment with colleagues across global locations, technologies, and products.
• Benefits may include medical, dental and vision coverage, health savings accounts, flexible spending accounts, disability and life insurance, paid absences, and retirement benefits.
• Full-time US employees must sign an employee agreement covering confidential information, trade secrets, conflicts of interest, and inventions.
• Safety and environmental health are core workplace values.