Team Sparq is looking to accelerate their digital transformation journey and enhance efficiency, quality, and profitability by adopting and effectively using AI technologies across their delivery teams.
Requirements
- Proven experience working with AI/ML solutions and a deep understanding of their practical application within the software development lifecycle.
- Experience with AI governance, including the development or refinement of corporate policies for AI use.
- Direct experience managing or contributing to a technology-focused Center of Excellence (CoE).
- Certifications in cloud AI/ML platforms (e.g., AWS Certified Machine Learning - Specialty, Azure AI Engineer Associate, Google Professional Machine Learning Engineer).
- Experience developing and refining client offerings in a consulting or IT services environment.
- Proficient in English, with exceptional verbal and written communication skills.
- Strong communication skills, with the ability to articulate complex AI concepts and their business value to diverse audiences, from engineers to executives.
Responsibilities
- Function as a hands-on advisor for our delivery teams, cycling through projects to provide ad-hoc consulting, run workshops, and host office hours on AI best practices.
- Develop and execute strategies to increase internal AI acceptance and proficiency, as measured by colleague surveys and adoption metrics.
- Own the function for trialing, piloting, and testing new AI solutions to ensure Sparq remains at the leading edge of technology.
- Manage Sparq's enterprise AI platform program, driving its evolution and utilization across the company.
- Understand and catalog the current use of AI tools across the organization to build and maintain the official list of approved AI tools.
- Act as a key stakeholder in refining and evolving Sparq's AI Use Policy as the technology and our business needs change.
- Drive the long-term goal of packaging our expertise into a formal AI Enablement service offering for clients.
Other
- Bachelor’s degree in Computer Science, Information Systems, or equivalent experience.
- At least 10+ years of experience in technology leadership, with a significant portion dedicated to technology strategy, internal evangelism, and/or implementing emerging technologies at scale.
- Willingness to travel up to 20% for client and prospective client engagements.
- Must be authorized to work in the U.S. without sponsorship.
- Strong communication skills, with the ability to articulate complex AI concepts and their business value to diverse audiences, from engineers to executives.
