Jobs at Hitachi Solutions America

Designs and delivers learning and adoption solutions for ERP and enterprise transformation programs. Responsibilities include training needs analysis, curriculum design, blended learning development, delivery, evaluation, stakeholder consulting, risk management, quality assurance, and continuous improvement. The role advises clients and project teams, supports business readiness and user adoption, and builds accessible, user-centered learning experiences across varied client environments.

Design, develop, and maintain complex Databricks data pipelines, APIs, and large-scale analytics systems. Collaborate with analytics, data science, and engineering teams to solve data challenges, improve platform capabilities, and support business-critical operations. The role requires strong experience with Spark, Delta Lake, cloud data platforms, Python, APIs, relational databases, and orchestration tools, with autonomy and ongoing technical learning.

Leads client-facing data and analytics consulting engagements, advising on data engineering, BI, advanced analytics, and AI solutions. Responsibilities include requirements gathering, solution architecture, Microsoft Fabric and Azure Databricks implementations, ETL/ELT design, data modelling, Power BI reporting, and delivery leadership. The role also mentors junior consultants, oversees project execution, and supports the growth of the Portugal-based Data, Analytics & AI team.

Designs and delivers data engineering, business intelligence, and advanced analytics solutions for clients. Responsibilities include gathering requirements, modeling and transforming data, developing cloud-based data platforms and ETL solutions, creating reports and dashboards, advising on analytics best practices, and integrating machine learning or generative AI capabilities. The role requires strong client-facing consulting experience and the ability to translate business needs into technical solutions.

Develop AI and LLM components for converting legacy Nintex workflows into Power Automate flows. Build parsing and conversion engines using Node.js, TypeScript, or Python; integrate LLM APIs, RAG, REST APIs, webhooks, Azure authentication, and MCP endpoints; and create automated validation tests and evaluation harnesses to measure model output quality. Document unsupported conversion scenarios and maintain workflow transformation logic.

Lead the design and development of Azure integration solutions, translate business needs into architecture, guide development teams, resolve complex technical issues, and advise clients. The role involves hands-on development with Azure integration services, technical workshops, solution design, stakeholder communication, and consulting delivery. Required expertise includes Logic Apps, Functions, Service Bus, API Management, Event Grid or Event Hubs, REST APIs, .NET, C#, microservices, secure application design, Git, and CI/CD.

The Enterprise Account Executive will drive strategic technology sales from opportunity creation through closure, focusing on Microsoft business applications and Azure solutions for manufacturing clients. Responsibilities include developing account and territory plans, managing sales cycles, collaborating with Microsoft field teams and internal specialists, building C-level relationships, supporting marketing and lead generation, and accurately forecasting sales performance.

Lead Microsoft 365 consulting and architecture projects for enterprise clients. Responsibilities include solution architecture, migration planning, hands-on implementation, pre-sales support, governance reviews, executive presentations, client stakeholder guidance, project leadership, and occasional escalation support. The role requires deep Microsoft 365 expertise, Azure experience, enterprise cloud migration knowledge, identity and security implementation skills, and the ability to modernize legacy infrastructure.

Provides post-go-live consulting and service delivery for clients using Microsoft Dynamics 365 Finance & Operations. Manages support cases, triages Finance and HR issues, meets SLAs, advises stakeholders, produces functional documentation and test plans, and recommends system improvements. The role requires strong Finance module expertise, working HR knowledge, client relationship management, and experience with at least two full lifecycle ERP implementations.

Leads customer-facing Microsoft 365 consulting projects, including requirements gathering, solution architecture, migration planning, implementation, governance, pre-sales, and executive presentations. Provides project leadership and guidance to client IT, business, and executive stakeholders. Requires deep Microsoft 365 expertise, Azure experience, enterprise cloud migration knowledge, identity and security skills, and occasional client-site travel.

Designs and implements Microsoft Dynamics 365 CE and Field Service solutions. Responsibilities include gathering requirements, leading workshops, configuring modules, optimizing scheduling, preparing functional specifications, supporting testing and migration, training users, coordinating integrations, and providing post-go-live support. The consultant collaborates with stakeholders and technical teams to deliver scalable customer solutions.

Lead Microsoft Dynamics 365 Finance and Project Management & Accounting implementations, including requirements gathering, solution design, configuration, testing, data migration, integrations, training, and go-live support. Configure core finance and project accounting modules, guide client decision-making, manage global and multi-entity deployments, and collaborate with technical teams on extensions, reporting, and integrations.

Lead Microsoft Dynamics 365 Finance & Operations manufacturing and supply chain implementations from discovery through hypercare. Responsibilities include requirements gathering, fit-gap analysis, solution design, configuration, documentation, data migration, integrations, testing, training, and go-live support. The consultant will lead client workshops, coordinate with technical teams, support global deployments, and advise customers on Manufacturing, SCM, procurement, inventory, warehouse, planning, quality, and financial processes.

Supports sales effectiveness through CRM administration, data governance, reporting, pipeline management, territory and quota administration, process automation, and sales enablement. Develops dashboards and analyses, maintains data integrity, identifies process improvements, supports forecasting and business reviews, and trains sales users on systems and operational processes.

Leads technical delivery for Dynamics 365 CE and Power Platform engagements, translating business requirements into scalable solutions. Develops custom plug-ins, PCF controls, JavaScript, Azure Functions, and AI solutions; manages ALM pipelines through Azure DevOps or GitHub Actions; conducts code reviews and quality assurance; contributes to estimates and RFP responses; and mentors developers and consultants.

Develop and implement Dynamics 365 CE and Power Platform solutions, including custom plug-ins, JavaScript, PCF controls, Azure integrations, and AI features. Execute ALM pipelines through Azure DevOps or GitHub Actions, conduct code reviews, support junior colleagues, estimate tasks, and maintain coding standards. The role works within architectures defined by technical leads and architects while designing smaller components and delivering secure, maintainable pro-code solutions.

Leads technical presales opportunities involving Azure, Dynamics 365, Power Platform, data, AI, Copilot, and agentic AI. Owns technical narratives, conducts discovery, designs solutions, delivers demonstrations and proofs of concept, develops scopes and estimates, contributes to proposals and pricing, and advises customers and Microsoft partners throughout enterprise sales pursuits.

Own the architecture and delivery of an AI-assisted migration platform that converts Nintex workflows into Power Automate flows. Responsibilities include LLM strategy, prompt engineering, RAG and classification pipelines, Azure cloud integration, parser and conversion-engine development, automated evaluation, security reviews, stakeholder management, risk mitigation, and mentoring a 3–8 person engineering team.

Design and build secure, scalable Python microservices, APIs, and packages supporting SaaS, PaaS, and Analytics as a Service products. Collaborate with engineering, QA, delivery, product, and design teams; write maintainable code, tests, documentation, and enterprise integrations. Apply modern microservices and cloud architecture, contribute to usability and reusability practices, and deliver features independently while staying current with emerging technologies.

Leads complex projects and multi-workstream programs, managing scope, schedules, budgets, risks, resources, governance, change control, and client communications. Directs teams of up to 25 consultants, oversees estimates and commercial matters, maintains project documentation, manages senior stakeholders, and mentors Project Managers. The role requires experience with large multidisciplinary implementations, Agile and Waterfall methodologies, commercial models, AI-driven delivery tools, and cross-border consulting engagements.