Randstad is partnering with a premier national transportation leader to recruit a Lead AI Strategy & Enablement to spearhead the digital transformation of Americas workforce. Based in Washington D.C. this pivotal role drives the enterprise-wide adoption of data AI and automation technologies by defining strategic frameworks and building technical accelerators. You will act as the bridge between high-level Digital Technology goals and practical business applications ensuring that AI initiatives are not only high-performing but also responsibly used and consistently scaled. If you are a visionary mentor with a passion for fostering technical literacy and building reusable starter kits for complex data ecosystems this role offers the opportunity to shape the future of a legacy American institution.
Key Responsibilities
- Strategy & Framework Development: Define and implement enterprise-level enablement frameworks to ensure a unified user experience and standardized adoption of AI and analytics platforms.
- Asset Creation: Lead the development of reusable technical assets including reference code templates and starter kit accelerators to streamline platform onboarding.
- Cross-Functional Liaison: Serve as the primary link between Digital Technology and business units aligning platform delivery with specific domain needs and enterprise governance.
- Metrics & Analytics: Establish comprehensive dashboards and KPIs to track content utilization technical literacy levels and the overall business impact of AI initiatives.
- Mentorship & Leadership: Coach and mentor junior and senior Advocates fostering a culture of excellence and ensuring all efforts align with broader enterprise objectives.
- Trend Advocacy: Stay at the forefront of emerging AI and developer advocacy trends to continuously iterate on the companys internal digital ecosystem.
Qualifications
- Education: Bachelors degree in Data Science Computer Science Information Systems or a related technical field.
- Professional Experience: 6 8 years of experience in data AI or enablement disciplines with a proven track record of leading multi-domain or enterprise-scale initiatives.
- Technical Proficiency: Advanced knowledge of AI visualization and automation platforms with the ability to review and build reference code and templates.
- Strategic Mindset: Deep understanding of the data-to-insight value chain and experience designing enterprise adoption or operating models.
- Communication: Exceptional stakeholder management skills with the ability to influence leaders across both business and technology functions.
- Agile Expertise: Experience leading complex projects within an agile or product-based delivery environment.
- Location/Travel: Ability to work onsite in D.C. 4 days per week with up to 25% travel required.
Required Skills :
Basic Qualification :
Additional Skills :
Background Check : No
Drug Screen : No
Randstad is partnering with a premier national transportation leader to recruit a Lead AI Strategy & Enablement to spearhead the digital transformation of Americas workforce. Based in Washington D.C. this pivotal role drives the enterprise-wide adoption of data AI and automation technologies by defi...
Randstad is partnering with a premier national transportation leader to recruit a Lead AI Strategy & Enablement to spearhead the digital transformation of Americas workforce. Based in Washington D.C. this pivotal role drives the enterprise-wide adoption of data AI and automation technologies by defining strategic frameworks and building technical accelerators. You will act as the bridge between high-level Digital Technology goals and practical business applications ensuring that AI initiatives are not only high-performing but also responsibly used and consistently scaled. If you are a visionary mentor with a passion for fostering technical literacy and building reusable starter kits for complex data ecosystems this role offers the opportunity to shape the future of a legacy American institution.
Key Responsibilities
- Strategy & Framework Development: Define and implement enterprise-level enablement frameworks to ensure a unified user experience and standardized adoption of AI and analytics platforms.
- Asset Creation: Lead the development of reusable technical assets including reference code templates and starter kit accelerators to streamline platform onboarding.
- Cross-Functional Liaison: Serve as the primary link between Digital Technology and business units aligning platform delivery with specific domain needs and enterprise governance.
- Metrics & Analytics: Establish comprehensive dashboards and KPIs to track content utilization technical literacy levels and the overall business impact of AI initiatives.
- Mentorship & Leadership: Coach and mentor junior and senior Advocates fostering a culture of excellence and ensuring all efforts align with broader enterprise objectives.
- Trend Advocacy: Stay at the forefront of emerging AI and developer advocacy trends to continuously iterate on the companys internal digital ecosystem.
Qualifications
- Education: Bachelors degree in Data Science Computer Science Information Systems or a related technical field.
- Professional Experience: 6 8 years of experience in data AI or enablement disciplines with a proven track record of leading multi-domain or enterprise-scale initiatives.
- Technical Proficiency: Advanced knowledge of AI visualization and automation platforms with the ability to review and build reference code and templates.
- Strategic Mindset: Deep understanding of the data-to-insight value chain and experience designing enterprise adoption or operating models.
- Communication: Exceptional stakeholder management skills with the ability to influence leaders across both business and technology functions.
- Agile Expertise: Experience leading complex projects within an agile or product-based delivery environment.
- Location/Travel: Ability to work onsite in D.C. 4 days per week with up to 25% travel required.
Required Skills :
Basic Qualification :
Additional Skills :
Background Check : No
Drug Screen : No
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