PPC Partners is looking to shape how it leverages AI to improve safety, efficiency, and decision making across all business units by developing and executing an enterprise AI strategy and roadmap.
Requirements
- 5+ years of progressive experience in technology, data, or digital transformation roles, with at least 2 years leading AI or advanced analytics initiatives.
- Demonstrated success in implementing AI models and leading AI initiatives or data strategies within a complex, multi-division organization.
- Proven ability to translate business challenges into AI-enabled solutions with measurable outcomes.
- Experience overseeing or partnering on the development of enterprise data platforms, governance frameworks, or AI infrastructure.
- Background in developing AI/ML proofs of concept, vendor evaluation, and managing pilot-to-production transitions.
- Familiarity with Agentic AI Frameworks, large language models (LLMs), and intelligent workflow design.
- Experience with data pipelines for AI projects, MLOps frameworks, and AI model lifecycle management (including managing AI deployment and new enhancements).
Responsibilities
- Partner with IT, Business Systems, and Data Engineering to ensure enterprise data platforms support AI accessibility, scalability, and data quality.
- Contribute to the development of a unified data architecture, including data lakes, integration pipelines, and governance frameworks.
- Ensure that foundational data capabilities—accuracy, accessibility, and integrity—enable advanced AI and analytics initiatives.
- Collaborate with data owners to define metadata, standards, and interoperability across platforms.
- Drive the adoption of AI-enabled tools and capabilities across core business systems (ERP, CRM, HRIS, and project management) and workflows.
- Lead pilot initiatives and proofs of concept that demonstrate the practical value of AI in real-world workflows.
- Partner with vendors, product managers, and engineering teams to embed AI capabilities into existing software and develop new intelligent workflows.
Other
- Build AI literacy and engagement across all levels of the organization through workshops, learning programs, and internal communities of practice.
- Work with HR and L&D to embed AI-related skills into leadership development, career frameworks, and technical training programs.
- Act as an internal evangelist and storyteller, translating complex AI concepts into accessible, business-relevant language.
- Support the creation of an “AI Innovation Team” or Center of Excellence to accelerate adoption and scale high-impact solutions.
- Exceptional communication and storytelling skills, with the ability to influence executive and operational audiences.
