Ai Enablement Lead - Sap Transformation (Contractor)
CB Smart Recruit
Location:
Remote – Canada orUnited States(Eastern Time Zone preferred)Contract Duration:
Minimum 6 months, with potential for extensionWorkload:
Full-Time | Independent ContractorContract Arrangement:
Incorporated (Inc.) contractors in Canada | C2C or 1099 contractors in the United StatesStart Date:
2027 (Exact date to be confirmed)Compensation:
Open to candidates' rate expectations, based experience and expertise.
About the OpportunityWe are seeking an experienced
AI Enablement Lead
to drive the development and execution of AI initiatives within a major enterprise SAP transformation program.
This is a
fully remote contract opportunity open to candidates based in the United States or Canada, ideally working within the Eastern Time Zone.
This role combines
AI strategy, hands-on solution development, data analytics, and change enablement
to identify opportunities where artificial intelligence can improve program efficiency, decision-making, and overall business outcomes.
The ideal candidate is both strategic and hands-on: someone who can translate AI opportunities into practical solutions, collaborate with diverse stakeholders, and drive meaningful adoption across a complex transformation environment.
Key ResponsibilitiesAI Strategy & Use Case Development
Develop and continuously refine the AI strategy supporting the SAP transformation program.
Identify, evaluate, and prioritize AI use cases based on business impact, technical feasibility, risk, and time to value.
Establish practical roadmaps to move AI initiatives from concept to implementation.
Identify opportunities to improve productivity, automate processes, and enhance program delivery.
AI Prototyping & Automation
Design, develop, and implement AI prototypes, proof-of-concepts, and automation solutions.
Translate business requirements into practical AI-enabled tools and workflows.
Collaborate with functional and technical teams to validate solutions and support deployment.
Continuously improve solutions based on user feedback and measurable outcomes.
Data Analytics & Performance Monitoring
Develop and enhance a centralized
KPI cockpit
to monitor transformation performance, AI adoption, and realized benefits.
Leverage data analysis, dashboards, and reporting to generate actionable insights.
Establish meaningful performance indicators and track the impact of AI initiatives.
Present clear, data-driven recommendations to program leadership.
Stakeholder Coordination & AI Adoption
Coordinate AI initiatives across business, SAP functional, technical, and governance teams.
Facilitate workshops, training sessions, and practical demonstrations to support AI adoption.
Provide guidance and targeted support to help stakeholders incorporate AI into their daily activities.
Act as a bridge between business objectives, technical capabilities, and end-user needs.
AI Governance & Reporting
Ensure AI solutions comply with approved security, privacy, quality, and responsible AI requirements.
Collaborate with governance and cybersecurity stakeholders to assess risks and establish appropriate controls.
Monitor initiative progress, adoption rates, and measurable business outcomes.
Communicate results, challenges, and recommendations to program leadership.
Required Qualifications
Proven experience developing and executing
enterprise AI strategies, with a demonstrated ability to translate strategy into practical solutions.
Hands-on experience building
AI prototypes, automations, and business-focused AI solutions .
Strong data analysis, KPI development, dashboarding, and performance reporting capabilities.
Relevant SAP experience and a solid understanding of large-scale enterprise transformation programs.
Experience identifying, prioritizing, and delivering AI use cases based on measurable business value.
Strong stakeholder management skills, with the ability to collaborate across business, functional, technical, and leadership teams.
Experience driving technology adoption through training, change enablement, and user support.
Excellent communication, problem-solving, and organizational skills.
Ability to work independently and manage multiple initiatives in a complex, fast-moving environment.
Must be based in the United States or Canada, with the ability to collaborate during Eastern Time Zone business hours.
Must be eligible to work as an independent contractor:
Incorporated (Inc.) in Canada or C2C/1099 in the United States.
Preferred Qualifications
Previous experience supporting AI initiatives within
SAP S/4HANA transformation or ERP modernization programs .
Familiarity with generative AI, large language models (LLMs), AI-assisted workflows, and enterprise automation.
Experience with business intelligence and visualization tools such as Power BI or similar platforms.
Familiarity with AI governance, data privacy, information security, and responsible AI principles.
Experience collaborating with globally distributed teams in large enterprise environments.
#J-18808-Ljbffr
Remote – Canada orUnited States(Eastern Time Zone preferred)Contract Duration:
Minimum 6 months, with potential for extensionWorkload:
Full-Time | Independent ContractorContract Arrangement:
Incorporated (Inc.) contractors in Canada | C2C or 1099 contractors in the United StatesStart Date:
2027 (Exact date to be confirmed)Compensation:
Open to candidates' rate expectations, based experience and expertise.
About the OpportunityWe are seeking an experienced
AI Enablement Lead
to drive the development and execution of AI initiatives within a major enterprise SAP transformation program.
This is a
fully remote contract opportunity open to candidates based in the United States or Canada, ideally working within the Eastern Time Zone.
This role combines
AI strategy, hands-on solution development, data analytics, and change enablement
to identify opportunities where artificial intelligence can improve program efficiency, decision-making, and overall business outcomes.
The ideal candidate is both strategic and hands-on: someone who can translate AI opportunities into practical solutions, collaborate with diverse stakeholders, and drive meaningful adoption across a complex transformation environment.
Key ResponsibilitiesAI Strategy & Use Case Development
Develop and continuously refine the AI strategy supporting the SAP transformation program.
Identify, evaluate, and prioritize AI use cases based on business impact, technical feasibility, risk, and time to value.
Establish practical roadmaps to move AI initiatives from concept to implementation.
Identify opportunities to improve productivity, automate processes, and enhance program delivery.
AI Prototyping & Automation
Design, develop, and implement AI prototypes, proof-of-concepts, and automation solutions.
Translate business requirements into practical AI-enabled tools and workflows.
Collaborate with functional and technical teams to validate solutions and support deployment.
Continuously improve solutions based on user feedback and measurable outcomes.
Data Analytics & Performance Monitoring
Develop and enhance a centralized
KPI cockpit
to monitor transformation performance, AI adoption, and realized benefits.
Leverage data analysis, dashboards, and reporting to generate actionable insights.
Establish meaningful performance indicators and track the impact of AI initiatives.
Present clear, data-driven recommendations to program leadership.
Stakeholder Coordination & AI Adoption
Coordinate AI initiatives across business, SAP functional, technical, and governance teams.
Facilitate workshops, training sessions, and practical demonstrations to support AI adoption.
Provide guidance and targeted support to help stakeholders incorporate AI into their daily activities.
Act as a bridge between business objectives, technical capabilities, and end-user needs.
AI Governance & Reporting
Ensure AI solutions comply with approved security, privacy, quality, and responsible AI requirements.
Collaborate with governance and cybersecurity stakeholders to assess risks and establish appropriate controls.
Monitor initiative progress, adoption rates, and measurable business outcomes.
Communicate results, challenges, and recommendations to program leadership.
Required Qualifications
Proven experience developing and executing
enterprise AI strategies, with a demonstrated ability to translate strategy into practical solutions.
Hands-on experience building
AI prototypes, automations, and business-focused AI solutions .
Strong data analysis, KPI development, dashboarding, and performance reporting capabilities.
Relevant SAP experience and a solid understanding of large-scale enterprise transformation programs.
Experience identifying, prioritizing, and delivering AI use cases based on measurable business value.
Strong stakeholder management skills, with the ability to collaborate across business, functional, technical, and leadership teams.
Experience driving technology adoption through training, change enablement, and user support.
Excellent communication, problem-solving, and organizational skills.
Ability to work independently and manage multiple initiatives in a complex, fast-moving environment.
Must be based in the United States or Canada, with the ability to collaborate during Eastern Time Zone business hours.
Must be eligible to work as an independent contractor:
Incorporated (Inc.) in Canada or C2C/1099 in the United States.
Preferred Qualifications
Previous experience supporting AI initiatives within
SAP S/4HANA transformation or ERP modernization programs .
Familiarity with generative AI, large language models (LLMs), AI-assisted workflows, and enterprise automation.
Experience with business intelligence and visualization tools such as Power BI or similar platforms.
Familiarity with AI governance, data privacy, information security, and responsible AI principles.
Experience collaborating with globally distributed teams in large enterprise environments.
#J-18808-Ljbffr
Vacancy posted 53 minutes ago
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