AI Office Lead
Indexed description
Job Duties And Responsibilities
- Lead the development of the AI technology roadmap, leveraging the enterprise technology governance model
- Establish clear goals and success measures for the AI office, ensuring all AI initiatives are tied to business value and organizational priorities
- Own the AI operating model - continually refine processes, roles, and standards for the AI initiative lifecycle (from Ideation/Intake to Proof-of-Concept, Pilot, and Production), to enable scalable, efficient, and compliant AI deployment across the enterprise
- Facilitate strong communication and alignment with the AI Steering Committee, providing updates on portfolio progress, risk and compliance, and key decisions needed
- Lead AI strategic and operational planning to achieve business goals by ensuring benefits realization and business adoption of new and existing IT business technology
- Participate in strategic and operational governance processes
- Lead the prioritization of AI initiatives and coordinate deployment
- Develop a power user network within the business unit to ensure to develop the knowledge of business processes and business technology within business unit
- Work with business leaders to define business requirements for business technology initiatives
- Work with business leaders to develop business cases for the implementation of new and existing technologies
- Drive continuous improvement in AI office operations and outcome
- Keep current with trends and issues in the AI industry, including current technologies and prices
- Assess and communicate risks associated with AI investments
- Develop and manage operational budgets
- Work with IT shared service leadership to identify opportunities for the appropriate and cost-effective investment of financial resources in IT systems and resources, including staffing, sourcing, purchasing, and in-house development
- Work with IT shared services leadership to ensure IT system operations adhere to applicable laws and regulations for business unit
- The requirements herein are intended to describe the general nature and level of work performed by employee, but is not a complete list of responsibilities, duties, and skills required. Other duties may be assigned as required
- Undergraduate degree in Computer Science, Data Science, Information Systems, Business Administration, or related field (or advanced technical education)
- 10+ years of IT experience, including 4+ years in leadership roles driving complex, cross-functional programs or technology initiatives
- Strong background in data science, AI/ML implementation, digital product management, or related field
- Demonstrated success in strategic planning, program governance, and organizational change management at enterprise scale
- Experience with budget management, vendor management, and delivering measurable business outcomes through technology projects
- Deep understanding of emerging AI technologies and enterprise digital transformation Undergraduate degree in in computer science, information technology, or related curriculum (or equivalent combination of experience and education)
- Master’s degree with a focus on technology management or AI strategy, preferred
- Experience standing up or leading an “AI Center of Excellence” or similar innovation office, preferred
- Formal certifications in AI/ML, Project/Program Management (e.g., PMP), or IT Governance (e.g., ITIL, CDO), preferred
- Understanding of the dairy or food manufacturing industry’s processes and opportunities for AI, preferred
- Knowledge of AI industry trends, best practices, and regulations (AI ethics, privacy, compliance) to ensure informed leadership and appropriate risk management
- Strategy and execution skills; able to think big-picture about the future of AI and its role in achieving DFA’s strategic goals; able follow through with detailed operational plans
- Strong analytical and critical thinking skills to make recommendations and/or decisions on ambiguous or unprecedented challenges
- Strong project management skills
- Able to make tough calls on use-case prioritization, funding, or project pivots based on evidence / strategic fit
- Exceptional communicator with executive presence; able to effectively present complex ideas to executive audiences and to tailor messaging for diverse stakeholders (business, technical, operations)
- Strong influencing skills; able to navigate organizational dynamics and drive consensus on priority AI initiatives
- Able to build collaborative internal and external relationships to further DFA’s AI objectives
- Able to champion diversity of thought and continuous learning, ensuring the team remains at the forefront of AI best practices
- Able to lead the organization through new ways of working introduced by AI
- Able to uphold the highest standards of governance, data privacy, and model safety, reinforcing the organization’s reputation in AI usage
- Able to understand business requirements and utilize IT knowledge to offer solutions and alternatives to business issues
- Able to articulate complex technical issues in language that is understandable to non-IT business users and executives. Able to summarize and present recommendations in a concise format
- Self-motivated and results-oriented, with proven proclivity for action; able to translate broad general strategies to actionable items; able to balance careful planning and preparation with continuous progress towards completion of goals
- Able to travel 1-2 times a month
$150,000 - $200,000 / annually
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