SAP BTP Development Lead

MACHINE LEARNING TECHNOLOGIES LLC; Houston (TX); Hybrid; USD 100,000 - 130,000; Full time

Job summary

MACHINE LEARNING TECHNOLOGIES LLC in Houston, TX is seeking a SAP BTP Development Lead to oversee and guide development teams. This hybrid role requires you to work in-office 3 days a week and lead various integration projects using the SAP BTP suite.

The ideal candidate will have at least four years of experience with SAP BTP, a relevant Bachelor's degree, and strong leadership skills. Responsibilities include advising clients on best practices while fostering team collaboration.

Qualifications

• Minimum of four years of experience with SAP BTP Integration Suite.
• Demonstrated ability to lead and mentor technical teams.
• Experience integrating SAP BTP with other SAP modules.

Responsibilities

• Lead SAP BTP development teams to ensure successful project delivery.
• Advise clients on SAP BTP best practices and solution design.
• Collaborate with cross-functional teams to deliver SAP BTP solutions.

Skills

SAP BTP Integration Suite

Leadership and mentoring

Solution architecture

Cross-functional collaboration

Communication skills

Education

Bachelor's degree or equivalent

Tools

SAP BTP Extension Suite

SAP Fiori

Cloud-native development

Job description

Job Description

• Job ID: J52913
• Job Title: SAP BTP Development Lead
• Location: Houston, TX
• Duration: 12 Months + Extension
• Hourly Rate: Depending on Experience (DOE)
• Work Authorization: US Citizen, Green Card, OPT-EAD, CPT, H-1B, H4-EAD, L2-EAD, GC-EAD
• Client: To Be Discussed Later
• Employment Type: W-2, 1099, C2C

Responsibilities

• Lead SAP BTP development teams, providing technical direction and mentoring to ensure successful delivery of integration and extension projects.
• Advise clients and internal stakeholders on SAP BTP best practices, architecture, and solution design.
• Oversee and execute integration projects using SAP BTP integration suite, ensuring alignment with business objectives and technical standards.
• Conduct technology assessments to identify opportunities for improvement and innovation within client environments.
• Analyze and prioritize business value to drive decision‑making and solution development.
• Collaborate with cross‑functional teams (business, IT, and external partners) to deliver innovative SAP BTP solutions.
• Foster a culture of continuous improvement, knowledge sharing, and professional growth within the development team.

This is a hybrid role in Houston, TX and will require 3 days per week in the office.

Requirements

• Minimum of four years of experience with SAP BTP Integration Suite, with significant hands‑on experience leading development and integration projects.
• Bachelor's degree or equivalent (minimum 12 year work experience). If Associate's Degree, must have minimum 6 years work experience.
• Demonstrated ability to lead and mentor technical teams in a collaborative environment.

Preferred Qualifications

• Demonstrated ability to lead and mentor technical teams in a collaborative environment.
• Proven experience in technology assessment, solution architecture, and value analysis/prioritization.
• Strong influencing and advisory skills, with a track record of making impactful decisions across teams.
• Experience with SAP BTP Extension Suite, SAP Fiori, or cloud‑native development.
• Experience integrating SAP BTP with other SAP modules (e.g., S/4Hana, SuccessFactors) and third‑party platforms.
• Certifications in SAP BTP or related SAP technologies.
• Experience driving digital transformation initiatives and innovation projects.
• Strong communication skills for stakeholder engagement and workshop facilitation.

Equal Opportunity Employer

MACHINE LEARNING TECHNOLOGIES LLC is an equal opportunity employer inclusive of female, minority, disability and veterans, (M/F/D/V). Hiring, promotion, transfer, compensation, benefits, discipline, termination and all other employment decisions are made without regard to race, color, religion, sex, sexual orientation, gender identity, age, disability, national origin, citizenship, immigration status, veteran status or any other protected status. MACHINE LEARNING TECHNOLOGIES LLC will not make any posting or employment decision that does not comply with applicable laws relating to labor and employment, equal opportunity, employment eligibility requirements or related matters. Nor will MACHINE LEARNING TECHNOLOGIES LLC require in a posting or otherwise U.S. citizenship or lawful permanent residency in the U.S. as a condition of employment except as necessary to comply with law, regulation, executive order, or federal, state, or local government contract.