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Confirmed on the employer's own hiring board on Oct 30, 2026. First seen by Alion on Oct 28, 2026. Svitla Systems scores B on the Alion truth index.

Overview
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Svitla Systems is a global digital solutions and custom software engineering company headquartered in California, with delivery centers across North America, Latin America, Europe, and Asia. Founded in 2003, the company offers end-to-end IT services, including cloud architecture, AI/machine learning integration, data engineering, DevOps, and mobile and web application development.

Svitla Systems Inc. is looking for an experienced Engagement Manager (Project Manager & Business Analyst) to lead the day-to-day delivery of OutSystems projects, delivered in partnership with OutSystems Professional Services.

This is a hybrid role that combines project management and business analysis: you’ll plan and run delivery, and you’ll also elicit, shape, and own the requirements. AI plays a central part in this position. You’ll help customers identify where AI adds real value, define AI features clearly enough for engineers to build and test, and use AI tools to make requirements, documentation, and delivery faster and better.

Prior OutSystems experience is not required. You’ll receive structured training and certification at the start of the engagement, followed by hands-on learning on live projects. You’ll work as one team with OutSystems Professional Services consultants, learning their delivery practices and sharing your own AI experience with them in return.

Engagement: Full-time

US citizenship required. Active US security/secret clearance, or the ability to obtain and maintain one

Requirements

  • Significant experience delivering software projects in a combined or closely related Project Manager, Business Analyst, or Delivery Lead role.
  • Experience on at least one project that delivered AI or GenAI features, including defining the use case, requirements, and success measures.
  • Working understanding of LLMs, prompts, retrieval-augmented generation (RAG), agents, hallucination, and evaluation, enough to work closely with engineers and explain trade-offs to stakeholders.
  • Regular, hands-on use of GenAI tools such as ChatGPT, Claude, or Microsoft Copilot in project management and business analysis work.
  • Awareness of responsible AI, data privacy, and human oversight requirements.
  • Strong skills in requirements elicitation, process mapping, user stories, and acceptance criteria.
  • Experience with Agile delivery and backlog management in tools such as Jira or Azure DevOps.
  • Experience with estimation, scope, budget, and risk management.
  • Client-facing stakeholder management, ideally in a consultancy or professional services setting.
  • Experience with user acceptance testing and release management.
  • Fluent professional English, written and spoken.

Will be a plus

  • Project management or business analysis experience on enterprise low-code platforms such as Microsoft Power Platform, Mendix, Appian, ServiceNow App Engine, Salesforce Platform, or Pega.
  • Understanding of how low-code changes delivery: faster prototyping, model-driven development, and the trade-offs between platform features and custom code.
  • Any exposure to OutSystems 11 (O11) or OutSystems Developer Cloud (ODC).
  • Certifications such as PMP, PMI-ACP, Certified ScrumMaster, Professional Scrum Master, IIBA CBAP, or CCBA.
  • Experience with prototyping and design tools such as Figma.
  • Experience in regulated industries such as financial services, insurance, healthcare, or government.
  • Degree in Information Systems, Business, Computer Science, or a related field, or equivalent experience.

Responsibilities

Engagement and delivery management

  • Plan, scope, and estimate engagements together with the Technical Lead and OutSystems Professional Services.
  • Manage scope, schedule, budget, risks, issues, assumptions, decisions, and dependencies.
  • Run Agile delivery, including sprint planning, stand-ups, reviews, and retrospectives.
  • Report status clearly to customer stakeholders and to Svitla and OutSystems leadership.
  • Manage change requests and keep delivery aligned with agreed outcomes.
  • Coordinate Svitla and OutSystems team members as one delivery team.
  • Lead user acceptance testing, release readiness, go-live, and hypercare.

Business analysis and requirements

  • Facilitate discovery workshops with business and technical stakeholders.
  • Map current and future business processes and identify improvement opportunities.
  • Write clear user stories and testable acceptance criteria, and maintain a prioritized backlog with the customer’s product owner.
  • Validate requirements early using wireframes and clickable prototypes.
  • Capture data, integration, reporting, and non-functional requirements.
  • Maintain traceability from business objectives through requirements to testing.

AI opportunities and requirements

  • Identify where AI and GenAI can add measurable value in customer processes and applications.
  • Define AI use cases with clear success measures, evaluation criteria, and human-in-the-loop controls.
  • Specify AI and agentic features: inputs, outputs, expected behavior, guardrails, fallback, and how quality will be tested.
  • Assess feasibility, data readiness, cost, and risk of AI features together with the Technical Lead.
  • Ensure responsible AI, data privacy, and governance requirements are captured and met.

AI-accelerated delivery and knowledge sharing

  • Use AI tools to draft requirements, summarize workshops, generate test scenarios, and produce documentation, with human review of every output.
  • Establish repeatable AI-assisted practices for requirements and delivery management.
  • Learn and apply the OutSystems delivery methodology.
  • Contribute AI delivery experience to joint playbooks, templates, and lessons learned, and run knowledge-sharing sessions for the team.

OutSystems training you’ll receive

  • OutSystems platform fundamentals across O11 and ODC: how applications are built, and what is quick or costly to change.
  • OutSystems delivery methodology and Professional Services ways of working.
  • Estimating and planning OutSystems projects.
  • OutSystems AI capabilities, such as Mentor and AI Agent Workbench, and how they shape requirements and delivery.
  • The relevant OutSystems certification for the role.
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