Position Description

This is an 18 month full-time, contract position. Extension may be considered based on business need and performance, but there is no guarantee of permanent employment.

Purpose
This position is responsible for leading Teichert's data, analytics, AI, and digital literacy and workforce development efforts, building the skills and confidence employees need to use data, AI, and everyday digital tools effectively in their daily work. The AI & Digital Training Program Lead partners with the Senior Data, Analytics & AI Manager and business division stakeholders to translate Teichert's data, analytics & AI strategy into practical training, communication, and community-building programs. This role starts by developing and delivering AI training across the organization and launching Teichert's AI Community of Practice, then expands into a broader, ongoing literacy and culture program spanning data, AI, business intelligence, and core digital productivity tools such as the Microsoft 365 suite. This role sits within the Data & Technology Solutions department and contributes to the build-out of Teichert's enterprise data platform, data science and AI capabilities.

Focus & Scope
Essential duties and responsibilities, i.e. those which are basic, necessary, and an integral part of the job, are indicated below:

1. Designs and delivers Teichert's AI training curriculum for employees at all levels, tailoring content and depth to different audiences, from construction and plant staff to office and leadership teams.
2. Launches and stewards Teichert's AI Community of Practice, recruiting and supporting internal advocates and creating regular venues for peer learning, use-case sharing, and troubleshooting.
3. Develops and delivers broader digital literacy training, including practical instruction on Microsoft 365 tools such as Teams, SharePoint, and OneDrive, so employees can collaborate, communicate, and access information effectively as part of their everyday work.
4. Partners with the Senior Data, Analytics & AI Manager to translate the enterprise data, analytics & AI strategy into a workforce development roadmap, including skills assessments, training priorities, and rollout sequencing.
5. Builds awareness and change management campaigns that communicate the value of data and AI in plain, practical terms, helping employees recognize how data and AI already show up in their day-to-day work.
6. Measures training participation, competency growth, and program impact; uses results to refine curriculum, targeting, and delivery methods over time.
7. Collaborates with business leaders and HR/Talent Development to align literacy programs with functional needs, onboarding, and career development pathways including Teichert University.
8. Partners with business analysts to liaise between the business and Data & Technology Solutions, surfacing literacy gaps, training needs, and emerging AI or other digital use cases that may warrant broader support or governance.
9. Stays current on data, statistics, analytics, and AI/ML tools, techniques, and best practices to keep training content, materials, and community programming practical and relevant.

Relationships, Qualifications and Requirements, & Competencies

Key Relationships

Reports To:

• Senior Data, Analytics & AI Manager

Direct Reports:

• None

External Clients:

• Potential partnership with universities and industry forums

Internal Clients:

• Business division leaders in Construction Services and Materials, HR/Talent Development, broader Data & Technology Solutions team, AI Community of Practice members, Teichert Family of Companies employees

Role Qualifications & Requirements

Education:

• Bachelor's degree required via one of two pathways:
  • Degree in Computer Science, Data Science, Analytics, Information Technology, or a related technical field, paired with demonstrated experience or training in training development, facilitation, communications, and change management or
  • Degree in Business, Organizational Development, Instructional Design, or a related field, paired with demonstrated technical proficiency in data, statistics, analytics, and AI/ML concepts gained through applied work, coursework, or certification.
• Change management framework (e.g. Prosci) certification preferred.

Experience and Industry Expertise:

• Minimum 10 years of experience reflecting one of the two pathways above: either a technical career (data science, computer science, IT, or similar) that has grown into training, communications, and change management responsibilities, or a business career that has built genuine, hands-on technical depth in data, analytics, statistics, or AI/ML through applied work, coursework, or certification.
• Experience in asset-intensive industries such as construction, mining, energy, transportation, or manufacturing is preferred.

Specific Job Requirements:

• Demonstrated power-user proficiency with generative AI and large language model tools (e.g., Copilot, ChatGPT, Claude), with the ability to translate hands-on experience into practical, teachable examples for non-technical audiences.
• Working knowledge of core data, analytics, and AI concepts (e.g., how machine learning and generative AI models work at a conceptual level, data visualization, data modeling, data quality and governance basics) sufficient to teach and answer questions from non-technical employees.
• Strong working proficiency with Microsoft 365 tools and the ability to teach practical, everyday use of these tools to employees with varying levels of digital comfort.
• Experience designing curriculum, facilitating workshops, and developing training materials for diverse audiences, including both technical and non-technical staff.
• Strong communication, presentation, and facilitation skills, with the ability to translate technical concepts into plain, actionable language.
• Ability to quickly build credibility and get up to speed in field, plant, or operational environments, adapting training content and delivery to operational realities and schedules.
• Experience building or supporting communities of practice, employee resource groups, or similar peer-network structures.
• Ability to preserve confidential and proprietary information and successfully avoid conflicts of interest.
• Experience working effectively in cross-functional teams and establishing positive working relationships across functions and levels.
• Must be able to prioritize, manage multiple workstreams, and recognize when to seek direction.

Competencies

• Data, Analytics, & AI
• Building Relationships
• Facilitation & Training Delivery
• Communication
• Initiative
• Dependability
• Judgement/Decision Making

Equipment Used, Physical Demands, and Work Environment

Equipment Used:

• General office equipment, telephone, automobile, personal protective equipment (i.e. safety glasses, hearing protection) when visiting plants.

Physical Demands & Work Environment:The physical demands and work environment characteristics are representative of those that must be met by an employee to successfully perform the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.

• Physical: Sitting for long periods of time working on the computer, presenting, or attending meetings. Job site and plant visits require walking on uneven ground, steep slopes, and exposure to extreme temperature and/or humidity. Some lifting of materials and equipment up to 20 lbs.
• Work Environment: Typical office environment with adequate temperatures and lighting, low levels of noise. Demands of meeting tight deadlines. Exposed to the conditions of job sites which can include loud noise, dust, fumes, and extreme weather conditions prevalent at the time. May work various hours, including early mornings, dusk or evenings, to accommodate training schedules across shifts and locations.

BASE SALARY RANGE:
$133,333 - $186,667
The range displayed reflects the range the company reasonable expects to pay for the position. The actual base salary is subject to variation due to the role, level, geographic location, relevant education, training, or experience, among other factors.

Employer Disclosure Statement
The above statements and job description is intended to describe the nature and level of work being performed within this job. They are not intended to be an exhaustive list of all responsibilities, duties, and tasks. Other similar or additional duties are performed as assigned.