Associate Principal Engineer – SAP SD Consultant

Job not on LinkedIn

🕒 November 1, 2025

🌐 United States, Canada – Remote

infoinfo

🗿 South Dakota – Remote

infoinfo

⏰ Full Time

🟢 Junior

🟡 Mid-level

🧑‍💻 Full-stack Engineer

🦅 H1B Visa Sponsor

infoinfo

👻 Ghost score 45%

infoinfo
Apply Now
Find Similar Remote Jobs

📊 Check your resume score for this job

Improve your chances of getting an interview by checking your resume score before you apply.

Logo of Nagarro

Nagarro

10,000+ employees

Founded 1996

💼 Consulting

📣 Marketing

🏥 Healthcare

Consulting • Marketing • Healthcare

Nagarro is a global leader in digital engineering and technology consulting. The company helps clients become innovative, digital-first businesses by leveraging technology to drive business breakthroughs. Known for its entrepreneurial agility and CARING mindset, Nagarro offers a wide range of services, including digital engineering, intelligent enterprise solutions, and experience and design services. With over 17,900 employees across 37 countries, Nagarro collaborates with industry leaders to accelerate digitalization and technology-led innovation.

📋 Description

• Ensure customer success, satisfaction, and referenceability for all S/4HANA customers • Define methodology, tools and processes for successful customer adoption • Establish and actively manage executive-level relationships with key customer stakeholders (LOB and IT) • Identify cross and upsell opportunities within existing customer engagements aligned with the customer's innovation strategy • Lead business requirements discussions with customers to implement S/4 HANA Cloud • Understand the SAP roadmap for S/4 HANA and become a trusted advisor for clients in driving their S/4 HANA adoption be it private cloud or public cloud • Drive functional conversations and presentations with end user clients as an SAP SME for SAP SD modules according to business requirements • Provide guidance to customers through best-practice project scoping and delivery using SAP Activate methodology

🎯 Requirements

• 12+ years of professional experience with demonstrated knowledge/expertise in at least one S/4HANA Cloud industry/solution segment • 10+ years customer-facing experience in consulting, pre-sales, delivery or solution architect capacity • 6+ years of professional experience; demonstrated knowledge / expertise of SAP SD module • 5+ years of Cloud ERP and related experience • Certification in S/4 HANA SD/MM/WM, and/or other SAP Solutions is a plus • High customer orientation, service attitude, and business acumen • Strong liaison and consultative skills, negotiating within a context of high political sensitivity and conflicting interests • Exceptional leadership, organizational, and interpersonal skills

🏖️ Benefits

• Professional development opportunities • Health insurance • Flexible working arrangements

Apply Now

Similar Jobs

🕒 October 24, 2025

E-Central Credit Union

11 - 50

🏦 Banking

💳 Fintech

🛍️ eCommerce

Artificial Intelligence Software Developer creating AI-powered solutions for Corporate Central Credit Union. Integrating AI into real-world operations and member-facing journeys in a fully remote capacity.

🕒 October 24, 2025

Outsourcey

201 - 500

🤝 B2B

🛍️ eCommerce

Full Stack Developer focused on React and frontend CMS dashboard for a growing BPO. Collaborate with remote team to optimize UI/UX and support backend development.

🕒 October 23, 2025

PlantingSpace

11 - 50

🤖 Artificial Intelligence

☁️ SaaS

🏢 Enterprise

Software Engineer with a Bayesian statistics background contributing to AI system development. Focused on implementing statistical procedures in a remote, collaborative environment.

🕒 October 22, 2025

PlantingSpace

11 - 50

🤖 Artificial Intelligence

☁️ SaaS

🏢 Enterprise

Software Engineer contributing to Bayesian statistics and AI system development. Focus on statistical inference, programming language features, and collaboration with team.

🕒 October 22, 2025

DataPelago

51 - 200

🤖 Artificial Intelligence

🏢 Enterprise

🤝 B2B

Software Developer implementing software for data processing operations as part of a data analytics engine. Collaborating with teams to develop algorithms and maintain high-performance code.