Role Description Come join us as an SAP FICO Solution Architect, and in this role, you will deliver creative business solutions to our market-leading clients in the life sciences, consumer products, and retail industries. Together, we can find the answers to our clients' most challenging business problems through a combination of our industry expertise, business process knowledge, and consulting excellence. As an SAP FICO Solution Architect, you will: - Act as a leader and design, architect, and deploy SAP solutions within the SAP FICO (Finance & Controlling) area - Facilitate business process reviews to gather expected business outcomes and functional requirements and document end-to-end processes and business requirements - Design and develop SAP FICO functions, including configuration to meet client business requirements, including integration points with other modules - Identify new opportunities to improve clients' competitive advantage, leveraging similar industry experiences and leading practices - Articulate opinions and advice regarding industry trends and issues and their impact on clients - Lead and guide consultants as well as client personnel implementing SAP FICO - Lead analysis and design session to create requirements to develop client solutions - Manage and oversee the design and development of customized reports - Provide general technical support for our clients and conduct training as required - Assist with scoping prospective engagements and developing proposals Qualifications - At least 8-10 years of experience and deep expertise in SAP FICO with at least three (3) full-life cycle projects - Expertise in SAP solution design and development - Excellent knowledge of Finance business processes - Team-lead experience - Flexibility and adaptability - our consultants work on everything from design to hands-on configuration and can stretch into new roles - Thorough client services orientation and accustomed to taking an active role in executing engagements and project plans/tasks - Excellent analytical skills and the ability to present and write at publication-quality level to communicate findings and recommendations - A 4-year degree in Business Administration, Computer Science, Information Systems, Engineering, or an equivalent discipline Requirements - Travel is an integral part of this role and is estimated to average 30-50%. This may vary based upon client and project needs. When not traveling, consultants work from their home office. Relocation is not required. Benefits - Comprehensive Health and Wellness Benefits (Medical, Dental, Vision, and more) - 401k with company contributions - Paid vacation, personal days, holidays, and sick leave - Paid Parental Leave and Family Building Benefits (Adoption, Surrogacy, and Infertility Support) - Life and Disability Insurance - Training and Professional Development investments, Tuition Assistance, and more

Role Description The Senior Microsoft Alliance Solution Architect serves as the Senior technical enabler of our Microsoft partnership. Reporting directly to the Global Leader of the Microsoft Cloud AI Partner Program, this role works day to day in partnership with: - Practice Leaders (AI Business Solutions, Cloud & AI Platform, Security) - Alliance Management - Global Microsoft Partnership Leadership This role is intentionally designed with high autonomy and broad scope, balanced by deep collaboration. Success comes from influence, enablement, and orchestration — not formal authority. How You’ll Create Impact - You operate as a force multiplier across teams and partners, amplifying the impact of practice leadership, alliance management, and Microsoft field engagement through technical clarity and shared execution. - You build strong, trust-based relationships — internally and across Microsoft — knowing that progress in the Microsoft ecosystem is driven by credibility, collaboration, and consistency over time. - You move with speed and intent, balancing strategic foresight with pragmatic execution, and helping teams navigate ambiguity without slowing momentum. - You enable scale by designing systems, automation, and repeatable motions across marketplace, co-sell, and partner operations — so success is not dependent on heroics. - You bring ingenuity and curiosity to the work, challenging conventional approaches and co-creating new models for AI-driven, agentic delivery in partnership with others. - While this role operates at a strategic level, much of the day-to-day work involves hands-on alliance execution, including maintaining CRM and co-sell hygiene, tracking program and compliance requirements, supporting funding and incentive submissions, coordinating case study production, and ensuring marketplace and Partner Center artifacts remain accurate and current. - Candidates who have operated inside large partner ecosystems will recognize this balance—and understand that durable influence is built through consistent execution, not just vision. Platform, Tooling & Automation Expectations This role is expected to design, build, and continuously evolve alliance critical platforms and automation that power our Microsoft partnership at scale. These systems are not conceptual—they are operational, production grade, and deeply embedded in how we run marketplace, co-sell, and partner programs. - Alliance & Partner Operations Platform: An internal, AI-enabled alliance hub that orchestrates data, workflows, and insights across Partner Center, CRM, marketplace, and funding programs—leveraging Azure OpenAI, Microsoft Fabric / OneLake, Azure Functions, Logic Apps, and Event Grid. - Experienced in designing event-driven Azure architectures, building with Azure OpenAI and Copilot Studio, automating with Power Platform, and prototyping with AI coding tools. - Preferred knowledge of Partner Center APIs and marketplace mechanics. Key Responsibilities - Microsoft Partner Differentiation & Strategy (In Partnership) - In close collaboration with Practice Leadership and Alliance Management, define and execute strategies to achieve and expand Microsoft Solutions Partner designations and advanced specializations. - Partner with internal leaders to translate Microsoft’s AI, Copilot, and platform roadmap into differentiated offerings and a clear enterprise value proposition. - Enable thought leadership across the organization — developing playbooks, solution narratives, and executive messaging that others can consistently reuse and scale. - Act as a strategic advisor to leadership on where Microsoft is heading and how we should invest ahead of the curve. - Microsoft Field Engagement & Co Sell Enablement - Serve as a Senior technical counterpart to Microsoft’s Enterprise Partner Solutions (EPS) organization — working with alliance leadership to build durable field relationships. - Enable Microsoft co-sell success by aligning architecture, solution design, and customer outcomes — not by owning the sales motion directly. - Partner with account teams and Microsoft sellers to support complex enterprise conversations when technical credibility and future state thinking matter most. - Represent the organization at Microsoft events as part of a broader alliance leadership team, reinforcing a consistent, trusted presence. - Microsoft Programs, Marketplace & Partner Center - In close partnership with Alliance Management, Operations, and Practice Leadership, enable and optimize our participation across Microsoft’s core partner motions — including Partner Center (designations, co-sell, incentives, reporting), the Microsoft Commercial Marketplace, Azure Migrate & Modernize, ISV Success, and Copilot and AI adoption programs — ensuring alignment to Microsoft priorities and field expectations. - Serve as the architect of alliance systems and automation, helping design how Partner Center, CRM, pipeline management, marketplace offers, and performance reporting integrate into a cohesive, scalable operating model — prioritizing repeatability, visibility, and speed over manual execution. - Enable a marketplace led growth motion by partnering with product, marketing, and alliance teams to shape listings, offers, pricing, and GTM motions that are easy for Microsoft sellers to co-sell, simple for customers to buy, and scalable across enterprise segments. - Continuously evaluate new and emerging Microsoft programs, incentives, and GTM constructs, partnering with leadership to pilot, operationalize, and automate those that accelerate joint growth and customer outcomes. - Internal Enablement, Automation & Practice Alignment - Partner deeply with Practice Leadership to ensure Microsoft alignment is embedded in offerings, delivery models, and roadmaps. - Enable teams through guidance, architecture standards, training, and reusable assets — not through centralized control. - Help design and champion AI-driven and agentic automation using Azure, Copilot, Power Platform, and related services to improve how the alliance and business operate. - Serve as a trusted advisor on strategic deals and initiatives where Microsoft alignment is critical. Qualifications - Bachelor’s Degree or equivalent required. BS in Computer Science, Engineering, Information Systems, or a related technical discipline strongly preferred, or equivalent hands-on technical and architectural experience in enterprise environments. - 8+ years of experience in Information Technology, Professional Services, Consulting, or Cloud Platforms required; with progressive responsibility across architecture, delivery, and partner-facing roles. - This role is for a seasoned technologist, someone who can credibly discuss Azure architecture and AI platforms in executive and customer settings, and who also understands how modern cloud, data, and automation systems are designed and operated in production environments. - 5–8+ years of direct experience working within the Microsoft ecosystem, meeting one or more of the following criteria (strongly preferred and critical for success): - Experience at a Microsoft Global or Regional Systems Integrator (GSI/SI) or Microsoft focused professional services organization (e.g., Accenture, Avanade, Slalom, Deloitte, PwC, EY, Capgemini, Cognizant, Wipro, etc.). - Experience as a Microsoft Partner Solution Architect, Cloud Solution Architect, or Technical Specialist working closely with Microsoft field, engineering, or partner teams. - Deep experience operating inside Microsoft partner constructs including co-sell, Partner Center, marketplace, incentives, and enterprise field engagement. - Demonstrated experience across services delivery, pre-sales / solution architecture, and partner-led sales motions, with the ability to bridge technical architecture, business outcomes, and go-to-market execution. - Proven experience working with hyperscale cloud partners (Microsoft Azure required; AWS and/or GCP experience beneficial), with Microsoft being the primary and preferred ecosystem for this role. Microsoft Technical & Ecosystem Expertise - Strong, working knowledge of the Microsoft cloud and AI stack, including: - Azure (compute, networking, storage, data, and platform services) - Data & AI (Azure AI Services, Azure OpenAI, Microsoft Fabric, Machine Learning concepts) - Copilot (Copilot for Microsoft 365, Copilot Studio, extensibility and adoption patterns) - Microsoft 365 & Teams (Modern Work, collaboration, extensibility) - Security (Defender, Sentinel, Purview, Entra ID / Azure AD concepts) - Power Platform (Power Automate, Power Apps, Copilot Studio) - Demonstrated understanding of Microsoft partner programs and motions, including: - Microsoft Solutions Partner designations and advanced specializations - Partner Center (co-sell, reporting, incentives, compliance) - Microsoft Commercial Marketplace / Azure Marketplace - Azure Migration & Modernization and Customer Immersion Experiences - Field led enterprise co-sell and GTM alignment Certifications (Strongly Preferred) - Microsoft certifications are strongly preferred and viewed as a signal of commitment and credibility in the ecosystem. - Microsoft Certified: Azure Solutions Architect Expert (highly preferred) - Demonstrated fluency with AI coding tools (Copilot, Claude, Codex) and shipped working code with them. Deliverables (Representative, Not Exhaustive) - Expansion and optimization of Microsoft Commercial Marketplace listings, offers, and GTM alignment. - Achievement and expansion of Microsoft Solutions Partner designations, advanced specializations, and Solution Designations (SDPs). - Development of enterprise-grade case studies, solution narratives, and Microsoft-ready reference architectures. - Creation of certification accelerators, technical enablement assets, and office hours to uplift practice and alliance readiness. - Measurable improvement in CRM and co-sell data quality, pipeline hygiene, and Microsoft field usability. - Formal Azure architecture reviews and solution readiness assessments aligned to Microsoft Well Architected Framework, Cloud Adoption Framework, and partner program requirements. - Enablement of partner funding motions, including incentives, co-op, and Microsoft investment programs. What Success Looks Like (Outcomes That Matter) - Microsoft field and Enterprise Partner Solutions teams engage us earlier and more strategically because alignment is intuitive, technical credibility is clear, and collaboration is easy. - Microsoft field engages us earlier on enterprise opportunities because you syndicate our capability and bring architectural credibility that makes deals more buyable. Co-sell pipeline grows quarter over quarter, driven by relationships and marketplace presence rather than cold outreach. - Our practices move faster and with greater confidence because Microsoft alignment is embedded by design, not retrofitted after the fact. - AI-driven and agentic automation reduces friction across alliance operations, pipeline management, reporting, and partner execution — allowing teams to focus on customer impact. - Leadership consistently experiences this role as a force multiplier — accelerating strategy, execution, and Microsoft outcomes rather than introducing complexity or drag. - Microsoft increasingly views us as a frontier ESI partner: technically credible, operationally mature, and willing to invest ahead of the curve. Job Type & Location This is a Permanent position based out of San Francisco, CA. Pay and Benefits The pay range for this position is $130,000.00 - $200,000.00/yr. We reserve the right to pay above or below the posted wage based on factors unrelated to sex, race, or any other protected classification. Additional earnings may be available through incentive programs like annual bonuses, profit sharing, etc. - Medical, Dental, and Vision - Critical Illness, Accident, and Hospital - 401(k) Retirement Plan – Pre-tax and Roth post-tax contributions available - Life Insurance (Voluntary Life and AD&D for employee and dependents) - Short and Long-Term Disability - Health Spending Account (HSA) - Transportation Benefits - Employee Assistance Program - Time Off/Leave (PTO, Vacation or Sick Leave) Workplace Type This is a fully remote position. Application Deadline This position is anticipated to close on Jun 9, 2026.

• Designing and Building AI Solutions - Your primary output will be AI-powered workflow tools: structured, versioned, documented solutions that guide an AI model through specific PDS tasks. • Scripting and System Integration - Most AI solutions require supporting code: scripts that parse input documents, validate outputs, call external APIs, format deliverables. • AI Solution Design - You will think about what information an AI model needs to do a job well and what it doesn't. • Testing and Quality Engineering - You'll build test harnesses, run solutions against diverse real-world documents, and treat output quality as an engineering problem. • Stakeholder Collaboration - You'll work directly with PDS project managers to understand workflows well enough to build for them accurately.

Role Description Andela’s Solutions organization designs and delivers AI, Cloud, Data, and Learning solutions for enterprise clients. The Learning Solutions Manager owns learning as a solution vertical within this portfolio — responsible for identifying and validating opportunities, designing programs, building commercial repeatability, and driving measurable client outcomes. This is not a traditional L&D role as the Head of Learning Solutions. You operate like a product and business leader: - Validating demand - Designing for outcomes - Packaging for scale - Iterating on data You will start as an individual contributor with scope to build a team as the vertical matures. You’ll work closely with our key partners like GitHub, OpenAI, and Anthropic, and team with a variety of cross-functional teams including Talent Operations, Delivery, Sales, Partnerships, and Marketing. Exceptional Leadership As an Andelan, you’ll serve as a role model for the rest of the company. Think about the feedback your peers typically give you – if it usually sounds like the below, we want to hear from you: - Low ego, low drama: You share credit, take blame. You like being wrong because it means someone else had an even better idea. - One team mentality: You break silos across teams. You put the company and mission first above your team alone. - Great listener, hungry for feedback: You’re always seeking to improve – our product, our business, yourself. You solicit diverse opinions and deeply listen. - Owner, not renter: You see a problem, you fix it or find someone who will. The buck stops with you. - Team-player: You roll up your sleeves and get scrappy. You do this by proactively collaborating with your team while actively engaging in important details that matter. - Business problem solver: You’re not just a functional expert; you consistently get praise for approaching your function through the lens of solving business problems. Key Responsibilities - Solution Discovery & Incubation (~30%) - Identify and validate enterprise learning opportunities through market research, competitive analysis, client engagement, and signals from Andela’s Talent Network. - Design learning solution concepts targeting reskilling needs across AI/ML, Cloud, Data, and Software Engineering domains — with AI as the primary focus. - Build business cases including market sizing, competitive positioning, pricing models, and revenue projections. - Lead proof-of-concept programs demonstrating measurable learner outcomes and client ROI. - Present solution investment recommendations to cross-functional leadership. - Solution Design & Technical Leadership (~30%) - Define curriculum architecture, assessment frameworks, hands-on lab architectures, post-training community building strategies, and certification pathways for enterprise learning programs. - Drive decisions on modality (live, virtual, self-paced, cohort-based), platform selection, and technology integration. - Evaluate and integrate AI-assisted delivery tools — adaptive platforms, AI copilots, intelligent tutoring systems. - Build program design standards, templates, and replication playbooks. - Leverage strategic partnerships to scale learning content development and refresh cycles (GitHub, OpenAI, Anthropic, AWS, Google, NVIDIA, CNCF, etc.). - Client Partnership & Engagement Design (~25%) - Lead discovery and scoping for complex enterprise reskilling engagements, translating workforce transformation goals into structured program requirements. - Facilitate design workshops, steering committees, and outcome reviews with client stakeholders (HR, Engineering, Business Unit leadership). - Define engagement models, milestones, and success criteria that Delivery executes against. - Drive iterative program refinement based on learner performance data and client feedback. - Commercialisation & Go-to-Market (~15%) - Transform successful pilots into scalable, repeatable offerings with recurring revenue potential. - Develop positioning, messaging, and sales enablement materials for learning solutions. - Support pre-sales activities — solution design, presentations, and proposals. - Build playbooks enabling rapid solution replication across client engagements. - Track and report on solution adoption, revenue contribution, and market traction. Qualifications - 5+ years in enterprise learning, workforce transformation, or technical education; at least 3 years in a solution design or product leadership capacity. - Understanding of enterprise reskilling at scale (50–500+ learners per cohort). - Hands-on experience packaging and promoting certification-driven programs across AI/ML, Cloud, Data, or Software Engineering. - Possesses a strong technical fluency and comfort with technical education curricula. Demonstrable ability to effectively engage with L&D department heads at target firms. - Proven ability to build financial models, business cases, and commercialisation strategies. - Track record of delivering measurable impact of learning: e.g. product adoption and learner satisfaction. - Excellent stakeholder management — comfortable engaging CHROs, CTOs, and Business Unit Heads, and Heads of L&D. Preferred - Background in professional services, consulting, or workforce transformation (e.g., Accenture, Pluralsight, Coursera for Business). - Experience launching or scaling new learning product lines or digital education offerings. - Familiarity with AI-assisted learning delivery and modern LMS/LXP platforms at enterprise scale. - Data-driven approach to program optimisation — able to interpret performance metrics and translate into design improvements. - Experience working with global distributed teams and talent networks. Company Description Andela is an equal opportunity employer committed to building a diverse and inclusive workforce.