Indigo Beam Consulting

Business Analyst

• Apply supply chain process expertise to develop, execute, and improve action plans, including use of information systems and best practices to automate work.
• Partner with business stakeholders, technical analysts, developers, testers, project managers, customers, and suppliers to define needs, align expectations, and deliver practical solutions.
• Identify, analyze, and document business and system process improvements, including process redesign, data management, integration impacts, and elimination of unnecessary activities.
• Produce project analysis deliverables such as business requirements, scope matrices, use cases, sequence diagrams, future-state proposals, and UAT plans.
• Lead or participate in small to mid-size initiatives and support larger complex projects by managing scope, documentation, priorities, milestones, risks, and escalation paths.
• Create and maintain project plans, schedules, estimates, specifications, progress reporting, issue tracking, and conflict resolution activities in partnership with Project Managers.
• Communicate project updates, findings, risks, and results through meetings, presentations, executive updates, task lists, and written communications for diverse audiences.
• Support system testing, QA planning, business client test execution, conversions, upgrades, enhancements, and implementation readiness.
• Promote user adoption and customer satisfaction by ensuring delivered systems support current and improved business processes.
• Perform other duties as assigned.

Business Analyst – Supply Chain

Solutions Engineer

• Design and build scalable AI-enabled applications across backend, frontend, cloud, data, and AI layers.
• Architect and implement Generative AI solutions, including RAG-based workflows.
• Write production-quality code using Python, C#, .NET, React.js, and Node.js.
• Build prototypes, proof of concepts, APIs, backend services, frontend components, and AI integrations.
• Review code, provide technical guidance, and help engineering teams solve complex implementation challenges.
• Design cloud-based architectures, preferably on Microsoft Azure, including application services, data flows, integrations, and deployment patterns.
• Work with MongoDB or other NoSQL databases to design scalable data models and retrieval patterns.
• Support CI/CD strategy, deployment automation, and engineering workflows using GitHub Actions.
• Partner with product, engineering, business, and leadership stakeholders to translate business needs into working software.
• Establish best practices for scalability, performance, security, reliability, maintainability, observability, and responsible AI usage.

AI Solutions Architect

Manager

• Personally lead 2–3 complex, client-facing engagements at a time from initiation through delivery, owning on-time, on-budget delivery at the margin sold
• Run Agile delivery hands-on using Azure DevOps: write and groom user stories, configure sprints, track velocity, manage capacity and resource allocation, and produce status and risk reporting
• Drive project planning, requirements gathering, business analysis, and user story development — especially during discovery and early shaping
• Identify risks, remove obstacles, and keep engagements on scope, schedule, budget, and quality
• Lead distributed project teams spanning the US, Brazil, and India
• Oversee and coach 2–3 project managers running additional engagements; set delivery standards across the portfolio
• Communicate effectively with C-level stakeholders, client teams, and technical teams; escalate and resolve issues early
• Support SOW scoping and estimation as needed

Delivery and Portfolio Manager – IT Consulting

Software Engineer

• Step into the lead onshore data developer role during the temporary leave period
• Develop, review, optimize, and troubleshoot complex SQL scripts and queries
• Support SAP data conversion and migration activities
• Work with Oil & Gas SAP data, including PRA-related conversion areas
• Partner with functional teams, technical teams, offshore resources, SI teams, and client stakeholders
• Maintain continuity of critical project deliverables
• Identify and resolve data quality, data integrity, and conversion-related issues
• Support mock conversions, testing cycles, cutover activities, and data validation efforts
• Provide clear technical documentation, status updates, and issue resolution notes

Business Analyst – Supply Chain

AI Solutions Architect

Delivery and Portfolio Manager – IT Consulting

Senior SQL Data Developer – Oil & Gas, SAP Implementation