IBM Associate Partner - SAP AI Enabled Testing-as-a-Service Architect

Introduction

We are looking for a seasoned IBM Associate Partner - SAP AI-Enabled Testing-as-a-Service Architect to join our team and lead the practice in developing and articulating our capabilities in SAP AI-driven testing services. The ideal candidate will possess extensive knowledge of SAP solutions, AI technologies, and Testing-as-a-Service (TaaS) methodologies, enabling us to deliver innovative, efficient, and scalable testing solutions to our clients

Your role and responsibilities

We are looking for a seasoned IBM Associate Partner - SAP AI-Enabled Testing-as-a-Service Architect to join our team and lead the practice in developing and articulating our capabilities in SAP AI-driven testing services. The ideal candidate will possess extensive knowledge of SAP solutions, AI technologies, and Testing-as-a-Service (TaaS) methodologies, enabling us to deliver innovative, efficient, and scalable testing solutions to our clients.

Responsibilities :

AI and Testing Expertise : Demonstrate deep understanding of SAP solutions and AI technologies, particularly in the context of testing, automation, and quality assurance. Lead the practice in developing and refining our AI-enabled TaaS capabilities for SAP landscapes.

Solution Architecture : Design and architect comprehensive AI-driven testing solutions for SAP environments, leveraging tools like Tricentis Tosca, Worksoft, SAP Custom Ops, and other relevant technologies. Ensure that solutions are scalable, adaptable, and aligned with industry best practices.

Client Engagement : Serve as a subject matter expert for clients, guiding them through the process of adopting and implementing AI-enabled TaaS for SAP. Translate technical concepts into tangible business value, fostering strong relationships with key stakeholders.

Partnership Enhancement : Collaborate closely with IBM and SAP teams to ensure alignment with strategic objectives, participate in joint initiatives, and contribute to the co-creation of innovative AI-driven testing solutions and services.

Differentiation Strategy : Identify and amplify our unique value proposition for SAP AI-enabled TaaS, crafting compelling go-to-market messages that resonate with target clients and set us apart from competitors.

Pre-sales and Proof of Concept (PoC) Support : Assist in creating PoCs, demos, and proof statements to showcase the capabilities of AI-enabled TaaS for SAP. Collaborate with sales and presales teams to win new business and expand existing client relationships.

Thought Leadership : Contribute to thought leadership activities, such as speaking at events, publishing articles, and engaging with the broader SAP and IBM communities, establishing our firm as a trusted advisor in the SAP AI-driven testing space.

Incentive Maximization : Stay updated on incentive programs and work diligently to qualify for and maximize financial rewards associated with successful SAP AI-enabled TaaS implementations and partnership milestones.

Market Awareness : Maintain a thorough understanding of SAP and IBM market dynamics, competitive landscapes, and emerging trends to advise clients on best practices and anticipate future needs.

Cross-Functional Collaboration : Work closely with internal teams, including solution architects, developers, project managers, and sales, to ensure seamless execution of SAP AI-enabled TaaS strategies, projects, and initiatives.

Team Development and Mentorship : Mentor junior architects and team members, sharing knowledge, fostering growth, and promoting a culture of continuous learning and improvement.

"Hybrid : Your work location of City, State was assigned based on business need and currently your role designated as a hybrid role. Hybrid roles are expected to perform their primary duties from a combination of IBM location, client sites or work at home. The required number of days to be in the office is to be determined by your management team. Any changes to this work arrangement must be preapproved by your manager before any changes are made. This Job can be performed from anywhere in the US."

Required technical and professional expertise

Education and Certifications : Bachelor's degree in Computer Science, Information Systems, or a related field. Relevant certifications, such as SAP Certified Application Associate or SAP Certified Technology Associate, are preferred.

Technical Expertise :

Proven experience in SAP solutions, with a strong focus on testing, automation, and quality assurance.

Deep understanding of AI technologies, machine learning, and their application in testing and quality assurance.

Expertise in AI-driven testing tools, such as Tricentis Tosca, and SAP-specific testing solutions.

Familiarity with Testing-as-a-Service (TaaS) methodologies and best practices.

Professional Skills :

Excellent communication and presentation skills, with the ability to articulate complex technical concepts to diverse audiences.

Strong project management and stakeholder engagement skills.

Proven ability to lead technical discussions, drive consensus, and resolve complex design issues.

Industry Experience : Minimum of 10 years of experience in SAP testing, architecture, or implementation roles, preferably with a focus on AI-driven testing and TaaS.

Leadership Potential : Demonstrated ability to grow into a senior leadership role, with a track record of mentoring junior team members, inspiring collaboration, and driving results.

Cultural Fit : Align with our company values, embrace a customer-obsessed culture, and maintain a strong commitment to innovation and excellence.

Note : This job description is intended to provide a high-level overview of the role, and specific duties may vary based on business needs and priorities.

Preferred technical and professional experience

Hiring manager and Recruiter should collaborate to create the relevant verbiage.

IBM is committed to creating a diverse environment and is proud to be an equal-opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, gender, gender identity or expression, sexual orientation, national origin, caste, genetics, pregnancy, disability, neurodivergence, age, veteran status, or other characteristics. IBM is also committed to compliance with all fair employment practices regarding citizenship and immigration status.