Senior Application Developer - ERP

ERP Application Developer

Consultant, Data Analytics & Reporting-Food

Retail Sales Manager

Senior SAP SD/MM Developer

Application Developer - ERP

Forward Deployed AI Strategist

SAP Lead

Senior Software Engineer AI

Responsibilities Key Accountabilities <ul><li>APPLICATION CONFIGURATION MANAGEMENT: Builds and drives complex application configurations to meet user and business requirements while identifying improvements to complex application support processes and procedures.</li></ul> <ul><li>APPLICATION DEVELOPMENT &amp; DEPLOYMENT: Performs and drives the design, configuration, testing, deployment, and support of changes and fixes, in accordance with established standards and practices.</li></ul> <ul><li>COMMUNICATION &amp; SUPPORT: Plays a key role and keeps an open channel of communication with stakeholders and responds to support requests and needs.</li></ul> <ul><li>APPLICATION SUPPORT: Conducts and leads advanced and complex application support activities to maintain system stability and meet business outcomes.</li></ul> <ul><li>STAKEHOLDER MANAGEMENT: Collaborates effectively with business partners, technical peers, &amp; vendors in multi-functional global teams, to ensure solutions and configurations align with business requirements and best practices.</li></ul> <ul><li>INCIDENT &amp; REQUEST MANAGEMENT: Leads prioritization of incoming incident tickets &amp; user requests and driving timely resolution.</li></ul> Requirements <ul><li>Minimum requirement of 4 years of relevant work experience. Typically reflects 5 years or more of relevant experience.</li></ul> <ul><li>ERP &amp; DOMAIN EXPERTISE: Solid hands‑on experience with enterprise‑scale applications (ERP preferred) in a techno‑functional capacity, demonstrating strong solution design and delivery capabilities. Deep knowledge of, and experience within, one or more ERP business domains (Order-to-Cash, Procure-to-Pay, Agriculture, Finance etc.)</li></ul> <ul><li>FULL LIFE CYCLE IMPLEMENTATION: Proven experience delivering large and complex application implementations (eg. ERP) across the full lifecycle, including system design and implementation, deployment, go‑live, and post‑go‑live stabilization and support, leveraging Agile, Scrum and/or DevOps practices.</li></ul> <ul><li>PROGRAMMING &amp; CUSTOMIZATION: Knowledge and/or experience with languages such as Java, C#, Python, or platform specific scripting (eg. ABAP for SAP) for application customization and experience with various pipelines, is preferred.</li></ul> <ul><li>DATA MIGRATION &amp; INTEGRATION: Experience with data migration strategies and large scale data transfers from legacy systems, including ETL processes.</li></ul>

Responsibilities <ul><li>APPLICATION CONFIGURATION MANAGEMENT: Sets up and maintains application configurations to meet user and business requirements while developing and recommending and implementing improvements to standard and moderately complex application support processes and procedures.</li></ul> <ul><li>APPLICATION DEVELOPMENT &amp; DEPLOYMENT: Performs programming, configuration, testing and deployment of fixes or updates for application version releases. </li><li>Designs, configures, tests, deploys and supports large and complex application changes and fixes in accordance with established standards and practices.&nbsp;</li></ul> <ul><li>COMMUNICATION &amp; SUPPORT: Keeps an open channel of communication with users stakeholders and responds to standard and moderately complex application support requests and needs.&nbsp;</li></ul> <ul><li>APPLICATION SUPPORT: Conducts application support activities to maintain system stability and meet business outcomes.</li></ul> <ul><li>STAKEHOLDER MANAGEMENT: Collaborates effectively with business partners, technical peers &amp; vendors in multi-functional global teams, including business partners to ensure solutions and configurations align with business requirements and best practices.&nbsp;</li></ul> <ul><li>INCIDENT &amp; REQUEST MANAGEMENT: Reviews, analyzes and prioritizes incoming incident tickets and user requests, driving timely resolution within agreed processes, balancing delivery speed with quality and stability.&nbsp;</li></ul> Requirements <ul><li>Minimum requirement of 2 years of relevant work experience. Typically reflects 3 years or more of relevant experience.</li><li>ERP &amp; DOMAIN EXPERTISE: Hands-on experience with enterprise-scale applications (ERP preferred) in a techno functional capacity, with exposure to one or more ERP business domains (eg. Order to Cash, Procure to Pay, Agriculture, Finance).</li><li>Translating business requiremts to technical specifications.</li><li>FULL LIFE CYCLE IMPLEMENTATION: Proven experience working on large and complex application implementations (e.g. ERP) across the full lifecycle, including system design and implementation, deployment, go‑live, and post‑go‑live stabilization and support leveraging Agile, Scrum, and/or DevOps practices.</li><li>PROGRAMMING &amp; CUSTOMIZATION: Knowledge and/or experience with languages such as Java, C#, Python, or platform specific scripting (eg. ABAP for SAP) for application customization and experience with various pipelines is preferred.</li><li>DATA MIGRATION &amp; INTEGRATION: Experience with data migration strategies and large scale data transfers from legacy systems, including ETL processes.</li></ul>

Responsibilities: <ul><li>Data Analysis: Collects, transforms, and analyzes data from multiple sources to identify trends, patterns, anomalies, and actionable insights that support reporting, performance tracking, and decision making.</li><li>Reporting &amp; Visualization: Implements detailed reports and dashboards using various tools, designs and completes data visualizations to communicate moderately complex data clearly.</li><li>Data Modeling &amp; Automation: Supports data models, reporting logic, and workflow automation, while identifying and implementing opportunities to improve data collection and reporting processes using standard data management and reporting practices.</li><li>Advanced Analytics Awareness: Familiarity with predictive analytics, AI/ML, and data science concepts to support evolving analytics solutions.</li><li>Data Quality &amp; Requirement Support: Validates data, supports reporting requirements, and helps ensure the accuracy and consistency of analytics solutions.</li></ul> Requirements: <ul><li>Bachelor’s degree in a related field such as Data Science, Statistics, Computer Science, Business Analytics, or a related discipline, or equivalent practical experience.&nbsp;</li><li>Minimum of 3-4 years of relevant work experience in data analytics, reporting, or business intelligence roles.</li><li>Strong skills in analyzing data and translating reporting needs into effective analytics solutions and insights.</li><li>Very strong skills in Power BI and data visualization.</li><li>Proficiency in SQL, Excel, Power Query, and related tools such as VBA or Python for analysis, modelling, and visualization.</li><li>Working knowledge of data warehousing, data lakes, and cloud data platforms such as Snowflake or AWS.</li><li>Experience automating workflows and building low-code solutions using Power Platform tools such as Power Automate and Power Apps.</li><li>Familiarity with (predictive) analytics, AI/ML and data science.</li><li>Business understanding and financial acumen to interpret data and generate practical insights.</li><li>Comfortable working in agile ways of working, managing multiple priorities, and contributing effectively both independently and in a team environment.</li></ul>

Role Description: <ul><li>The Retail Sales Manager is responsible for the strategic direction, commercial performance, and operational excellence of all retail outlets and kiosks across the region. This role focuses on driving sustainable revenue growth, optimizing the retail footprint, and institutionalizing a premium customer experience.</li><li>The Manager leads the retail leadership team to achieve aggressive sales targets while ensuring brand consistency and operational compliance across all touchpoints.</li></ul>&nbsp;Responsibilities: <ul><li>Strategic Sales Leadership: Define and implement regional retail sales strategies and commercial plans to achieve monthly, quarterly, and annual revenue and subscriber acquisition targets.</li><li>Retail Footprint Optimization: Analyze market trends and footfall data to identify opportunities for new store openings, kiosk relocations, or retail format optimizations.</li><li>P&amp;L &amp; Budget Management: Manage the retail department budget, monitor OpEx, and ensure a high return on investment (ROI) for all retail-led campaigns and store operations.</li><li>Customer Experience Excellence: Establish and monitor Service Level Agreements (SLAs) for customer service; implement Voice of the Customer feedback loops to improve NPS (Net Promoter Score).</li><li>Standard Operating Procedures: Develop and enforce standardized internal procedures for inventory management, cash handling, KYC compliance, and platform usage (CRM/Afrivendas).</li><li>Cross -Functional Synergy: Collaborate with Marketing to ensure seamless deployment of trade marketing materials, campaigns, and product launches across the retail network.</li><li>Performance Coaching: Lead, mentor, and evaluate Retail Team Leaders and Supervisors; oversee the professional development and succession planning for the entire retail workforce.</li><li>Reporting &amp; Business Intelligence: Direct the production of high-level analytical reports regarding sales conversion, productivity per head, and competitor retail activity.</li></ul>&nbsp;Requirements: <ul><li>Bachelor’s degree in Business Management, Marketing, or related field.</li><li>An MBA is highly preferred.</li><li>Minimum 7 years in Retail Sales, with at least 3-4 years in a senior management role, preferably within Telecoms, Banking, or high-volume FMCG.</li><li>Advanced understanding of retail economics, inventory management, and CRM systems.</li><li>Clear communication and strong writing.</li><li>Ability to translate complex market data into executable retail strategies and sales incentives.</li><li>Exceptional leadership, negotiation, and stakeholder management skills</li><li>Ability to manage large culturally diverse teams.</li></ul>

Responsibilities: <ul><li>Requirements Solutioning: Lead workshops to capture business requirements, analyze gaps, and propose scalable SAP solutions.&nbsp;</li><li>Configuration &amp; Design: Build and maintain complex SAP configurations aligned with business goals (MM,SD).&nbsp;</li><li>Testing &amp; Deployment: Manage functional testing, defect resolution, and deployment of new releases and enhancements.&nbsp;</li><li>UAT &amp; Training Support: Guide business users through User Acceptance Testing and deliver training to Super Users and end users.&nbsp;</li><li>Process Optimization: Advise stakeholders on process improvements and challenge unnecessary customizations.&nbsp;</li><li>Stakeholder Engagement: Collaborate with cross-functional teams including developers, product managers, and business leads to ensure alignment and delivery.&nbsp;</li><li>Application Support: Provide expert-level support for SAP Operations processes and integrations with external systems (e.g. TMS, GTS, Plant systems, EDI).&nbsp;</li><li>Workstream Leadership: Represent the Operation workstream in project governance, plan staffing and budget, and mentor junior team members.&nbsp;</li></ul> Requirements: <ul><li>Minimum requirement of 8 years of relevant work experience&nbsp;in SAP MM and/or SD modules.&nbsp;</li><li>Experience with SAP S/4HANA.&nbsp;</li><li>Strong functional leadership with a focus on business process optimization.&nbsp;</li><li>Familiarity with ABAP is advantageous but not required.&nbsp;</li><li>Excellent communication and stakeholder management skills.&nbsp;</li></ul>

Responsibilities: <ul><li>APPLICATION CONFIGURATION MANAGEMENT: Builds and drives complex application configurations to meet user and business requirements while identifying improvements to complex application support processes and procedures.</li><li>APPLICATION DEVELOPMENT &amp; DEPLOYMENT: Performs and drives the design, configuration, testing, deployment, and support of changes and fixes, in accordance with established standards and practices.</li><li>COMMUNICATION &amp; SUPPORT: Plays a key role and keeps an open channel of communication with stakeholders and responds to support requests and needs.</li><li>APPLICATION SUPPORT: Conducts and leads advanced and complex application support activities to maintain system stability and meet business outcomes.</li><li>STAKEHOLDER MANAGEMENT: Collaborates effectively with business partners, technical peers, &amp; vendors in multi-functional global teams, to ensure solutions and configurations align with business requirements and best practices.</li><li>INCIDENT &amp; REQUEST MANAGEMENT: Leads prioritization of incoming incident tickets &amp; user requests and driving timely resolution&nbsp;&nbsp;</li></ul> Requirement: <ul><li>Minimum requirement of 4 years of relevant work experience. Typically reflects 5 years or more of relevant experience.</li></ul>

Responsibilities: <ul><li>APPLICATION CONFIGURATION MANAGEMENT: Sets up and maintains application configurations to meet user and business requirements while developing and recommending and implementing improvements to standard and moderately complex application support processes and procedures.</li><li>APPLICATION DEVELOPMENT &amp; DEPLOYMENT: Performs programming, configuration, testing and deployment of fixes or updates for application version releases. Designs, configures, tests, deploys and supports large and complex application changes and fixes in accordance with established standards and practices.&nbsp;</li><li>COMMUNICATION &amp; SUPPORT: Keeps an open channel of communication with users stakeholders and responds to standard and moderately complex application support requests and needs.&nbsp;</li><li>APPLICATION SUPPORT: Conducts application support activities to maintain system stability and meet business outcomes.</li><li>STAKEHOLDER MANAGEMENT: Collaborates effectively with business partners, technical peers &amp; vendors in multi-functional global teams, including business partners to ensure solutions and configurations align with business requirements and best practices.&nbsp;&nbsp;</li><li>INCIDENT &amp; REQUEST MANAGEMENT: Reviews, analyzes and prioritizes incoming incident tickets and user requests, driving timely resolution within agreed processes, balancing delivery speed with quality and stability.&nbsp;</li></ul> Requirements: <ul><li>Minimum requirement of 2 years of relevant work experience. Typically reflects 3 years or more of relevant experience.</li></ul>

Role Description: <ul><li>The Strategy team is looking for a hands-on AI-enabled strategy and market intelligence professional to materially accelerate the way we conduct deep research, market intelligence, analytical modeling, and GTM analysis by applying high impact AI workflows and translating them into sharper strategic decisions.</li><li>The individual will partner with business, product, commercial, and tech teams to translate ambiguous questions into actionable insights, while developing and scaling AI-enabled solutions that improve strategic decision-making and drive measurable business impact.&nbsp;</li><li>The individual is expected to work in close partnership with our client IT team, to leverage existing AI &amp; data capabilities on Databricks &amp; AWS (where applicable) while developing solutions.</li></ul> Responsibilities: Strategic problem solving and driving cross-functional execution&nbsp; <ul><li>Translate AI-assisted analyses into practical executive decisions by applying strong business judgment, rigorous validation protocols, and a sharp “so-what” orientation</li><li>Collaborate with and influence senior stakeholders across strategy, sales, technology teams, and P&amp;L owners</li><li>Good first-principles and problem-solving capabilities with the ability to build and test strategic hypotheses Identifying meaningful opportunities to leverage AI and deploying scaled AI solutions at pace</li></ul> Identify, assess, and prioritize high-value AI and automation opportunities by translating business challenges into scalable, practical solutions&nbsp; <ul><li>Design proprietary AI-enabled workflows, agents, and accelerators for recurring strategy activities (competitor monitoring, earnings call tracking, tariff and regulatory intelligence, voice-of-customer mining etc.)</li><li>Build reusable templates, workflows, and modules to drive adoption and embed AI capabilities into strategy processes</li></ul> Executing rapid AI-augmented research and competitive intelligence&nbsp; <ul><li>Lead AI-augmented research using tools like Claude, OpenAI, Perplexity, AlphaSense, CapIQ etc. to deliver source-triangulated competitive and industry insights</li><li>Synthesize structured datasets (S&amp;P Capital IQ, Bloomberg, IDC, Gartner) and unstructured sources (10-Ks, analyst reports, expert interviews) – to generate and validate AI-assisted outputs</li></ul> Support strategy team in day-to-day execution by leveraging AI-led tools <ul><li>Lead AI-enabled market sizing, opportunity mapping, and TAM/SAM/PAM modelling</li><li>Accelerate financial modelling – scenario and sensitivity analyses, valuation, NPV/IRR, segment P&amp;Ls, pricing</li><li>Support M&amp;A pipeline by AI-screening targets and generating investment theses</li></ul> AI enablement, coaching and continuous innovation <ul><li>Coach strategy team members on prompting techniques, research workflows, and AI-fluent execution</li><li>Scale AI adoption across Corporate Strategy through hands-on mentorship of beginner users</li><li>Stay current on agentic stacks, multimodal models, and deep research agents</li></ul> Requirements: Skillset and capabilities AI fluency and hands-on deployment orientation&nbsp; <ul><li>Working knowledge of GenAI patterns – LLM capabilities/limitations, prompt design, etc.</li><li>Proven ability to convert business problems into reusable AI workflows, tools, or accelerators</li><li>Builder mindset with experience prototyping AI solutions using frontier tools &amp; low-code platforms</li></ul> Analytics, modelling, and research excellence <ul><li>Strong modelling skills across TAM/SAM/PAM, scenarios, sensitivities, NPV/IRR, valuation etc.</li><li>Ability to synthesize structured datasets with unstructured sources</li><li>Research discipline – source triangulation and rigorous validation of AI outputs</li></ul> Strategic problem solving, communication, executive presence, and influence&nbsp; <ul><li>Sharp "so-what" orientation to translate AI outputs into practical executive decisions</li><li>Crisp written and verbal communication, with ability to frame board-ready narratives</li><li>Skill in explaining AI workflows and implications to both technical and non-technical audiences</li><li>Stakeholder management across strategy, commercial, data, and technology teams</li></ul> Ownership, and execution <ul><li>Independently own workstreams end-to-end – from framing through deployment</li><li>High bar for quality; never publishes unchecked AI outputs or unvalidated analysis</li></ul> Coaching and capability building&nbsp; <ul><li>Patience and ability to coach colleagues on prompting, research workflows, and source validation</li><li>Track record of building reusable playbooks – templates and training modules that scale adoption</li></ul> Passion, curiosity, and learning agility <ul><li>Deep passion for AI, tech, and industrial innovation, with curiosity to stay current on frontier tools</li><li>Entrepreneurial ownership mindset and drive to build a new AI-enabled strategy capability</li></ul> Qualifications:&nbsp; <ul><li>BE / B-Tech in Computer Science Engineering, Data Science or a related analytical field required; MBA, MS, M-Tech or equivalent advanced degree strongly preferred.</li><li>3–4+ years of experience in AI transformation, analytics, or AI-enabled business building. Prior Forward Deployed Engineer / Solutions Architect / Senior Data Scientist background preferred.</li><li>Experience in a top-tier strategy consulting firm, AI-native consulting team, analytics firm or corporate / product strategy team role strongly preferred.</li><li>Demonstrated experience building or deploying 0–1 AI solutions (not just experimenting), GenAI, analytics, automation, or workflow solutions in a business environment required.</li><li>Proficiency in Excel and PowerPoint required; Python or equivalent scripting capability strongly preferred. Experience with DevOps, CI/CD pipelines, and infra as code (e.g., Jenkins, Docker, Kubernetes) required.</li><li>Proficient in implementing AI platforms like AWS Bedrock, LangGraph, Crew AI, Glean etc.</li><li>Knowledge of enterprise data environments (esp. SAP, Databricks) or cloud platforms (esp. AWS) is a plus. Experience integrating AI systems with enterprise data platforms required.</li><li>Experience with LLM-powered solutions, RAG systems, agentic workflows, AI research tools, or AI-enabled knowledge manage</li></ul>

Responsibilities: <ul><li>Lead and manage the SAP support team responsible for supporting global manufacturing operations.</li><li>Act as the key interface between business stakeholders, SAP functional teams, and external partners.</li><li>Drive post-go-live stabilization, continuous improvement, and process optimization initiatives across the SAP landscape.</li><li>Provide cross-functional oversight across SAP FICO, MM, PP, SD, and Security modules.</li><li>Ensure effective issue resolution and support delivery for business-critical processes.</li><li>Partner with regional and global stakeholders to understand business requirements and translate them into SAP solutions.</li><li>Support enhancement initiatives and contribute to process standardization across multiple sites.</li><li>Guide and mentor SAP Business Analysts while fostering collaboration and knowledge sharing within the team.</li><li>Monitor support performance and ensure service levels are maintained.</li><li>Contribute to the long-term SAP roadmap and help shape the SAP operating model.</li></ul> Requirements: <ul><li>Bachelors degree in Information Technology, Computer Science, Business Administration, or a related discipline.</li><li>Strong functional expertise in SAP, with preference for candidates possessing a FICO background.</li><li>Broad understanding of end-to-end business processes and cross-functional integration across MM, PP, SD, and Security.</li><li>Experience supporting SAP S/4HANA environments.</li><li>Hands-on experience in SAP implementation, rollout, or post-go-live support projects.</li><li>Strong understanding of manufacturing business processes and experience supporting manufacturing environments.</li><li>Ability to perform functional analysis, configuration, testing, and issue resolution.</li><li>Proven experience leading, mentoring, or managing SAP teams.</li><li>Strong stakeholder management and business partnering capabilities.</li><li>Experience working in regional or global environments with multiple business units or sites.</li><li>Excellent communication, analytical, and problem-solving skills.</li><li>Ability to operate effectively in a fast-paced and collaborative environment.</li><li>Preferred Qualifications</li><li>Experience in SAP S/4HANA Public Cloud environments.</li><li>Exposure to manufacturing system integrations and third-party applications.</li><li>Experience in establishing or supporting SAP Centres of Excellence or shared service environments.</li><li>SAP certification(s) would be advantageous.</li><li>Experience supporting global template environments and process standardization initiatives.</li></ul>

Responsibilities: Design &amp; Build/Development &amp; Support <ul><li>Develop multi-agent workflow automation patterns using Agentic AI</li><li>Process redesign and mapping to agentic workflow patterns</li><li>Architect scalable micro-services that wrap LLM/RAG/Agent workflows (Python).</li><li>Implement robust prompt-engineering patterns, retrieval pipelines, and caching for AI Assistants and AI Agents</li><li>Profile inference latency, GPU/CPU utilization, and memory</li><li>Writes and maintains highly complex unit tests and integration tests, and performs debugging to maintain the quality and performance of the software/AI solutions</li><li>Lead bug-fix, security-patch, and performance-tuning sprints for live AI Assistants and AI Agents</li><li>Leads the establishment and maintenance of comprehensive documentation for agents, applications, deployment processes and system configurations.</li></ul> Operational Excellence&nbsp;<ul><li>Own on-call runbooks, SLOs, and incident reviews; embed observability</li><li>Leads and mentors technical support and troubleshooting for highly complex issues with deployed applications to ensure minimal downtime and fast resolution.&nbsp;</li></ul> Collaboration &amp; Leadership <ul><li>Leads cross functional team of engineers to gather requirements and deliver solutions that meet business needs.</li><li>Experience working within product and agile delivery frameworks including backlog management and cross-functionality delivery and full E2E engineering.&nbsp;</li><li>Experience with enterprise architecture, data governance, or security standards in the context of digital solution delivery as part of E2E engineering and solution architecture.&nbsp;</li></ul> Capability &amp; Technology Stack Exposure <ul><li>Experience with digital technologies in the commercial &amp; sales management capability (e.g. Salesforce, Service Cloud, CPQ, Salesloft, ChatGPT or similar platforms)&nbsp;</li></ul> Requirements: <ul><li>Minimum requirement of 4 years of relevant work experience. Typically reflects 5 years or more of relevant experience.&nbsp;</li><li>Typically reflects 4 years or more with 3+ years of cloud-native AI/ML or GenAI systems (Azure, AWS, or GCP) or 2+ years of software development.&nbsp;</li></ul>

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49 dot net cloud developer Jobs found

Senior Application Developer - ERP

ERP Application Developer

Consultant, Data Analytics & Reporting-Food

Retail Sales Manager

Senior SAP SD/MM Developer

Senior Application Developer - ERP

Application Developer - ERP

Forward Deployed AI Strategist

SAP Lead

Senior Software Engineer AI

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Senior Application Developer - ERP

ERP Application Developer

Consultant, Data Analytics & Reporting-Food

Retail Sales Manager

Senior SAP SD/MM Developer

Senior Application Developer - ERP

Application Developer - ERP

Forward Deployed AI Strategist

SAP Lead

Senior Software Engineer AI

WhiteCrow WhiteCrow is on a mission to connect companies with the best talent across the globe.

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WhiteCrow is on a mission to connect companies with the best talent across the globe.