System Analyst

Join a high-profile co-innovation engagement building the MVP of a Collision Mitigation Safety (CMS) data platform for autonomous mining and construction vehicles. Our client, a global leader in heavy equipment and autonomous vehicle technology with over a decade of experience in the space, is pivoting toward next-generation "Future Ops" capabilities powered by generative AI and large behavioral models. As the on-site Business Analyst, you'll be the trusted link between client stakeholders and our offsite delivery team, translating real-world operations into requirements the engineering team can build against. This is a rare opportunity to shape the foundational MLOps toolchain behind a safety-critical autonomy program, starting with a pilot centered on stockpile management workflows.

Essential functions

• Be the "person on the ground" - capture and relay daily updates, sync notes, concerns, and open questions from stakeholders and site operations to the offsite delivery team.
• Triage and resolve, in person and in hours, issues that would otherwise take days to clarify over remote channels.
• Run regular syncs with the offsite delivery pod to gather implementation gaps and information, and drive clarity on how CMS features will be demoed and accepted.
• Build a clear, shared understanding of the roadmap and value prioritization with stakeholders, and act as the driver on the ground for maximizing the value delivered each cycle.
• Own requirements documentation for the CMS Data Platform workflow - business rules, data flows, and operational constraints - in a form the engineering team can act on
• Define and validate demo scenarios and acceptance criteria for CMS features (e.g., the Stockpile Management pilot) with client stakeholders and the delivery team
• Track issues, risks, and decisions to closure; escalate blockers promptly and maintain a single source of truth for open items
• Support demo/UAT readiness - coordinating schedules, preparing walkthroughs, and confirming client acceptance sign-off

Qualifications

• 7+ years as a Business Analyst on complex, technical software or data engineering programs, including client-facing, on-site work
• Education: Bachelor's degree in Data Science, Computer Science, Data Analytics, or a related technical field.
• Proven ability to elicit, structure, and translate business and operational requirements into clear specifications, user stories, and acceptance criteria that a technical delivery team can build against
• Strong stakeholder management and facilitation skills - comfortable running syncs, workshops, and issue-resolution conversations across client and delivery organizations
• Experience partnering with distributed or offshore delivery teams across time zones, using tools such as Azure DevOps or equivalent
• Excellent written and verbal English communication, able to produce concise status updates and documentation for both engineering and executive audiences
• Comfortable working with significant autonomy as the accountable on-site presence, including independent issue triage and escalation
• Experience organizing onboarding activities for new team members, helping them ramp up quickly on project context, tools, and delivery workflows
• Comfortable following up on IT tickets and coordinating with support teams to resolve access, tooling, and environment issues
• Project management skills - planning, tracking, and coordinating delivery across workstreams
• Experience organizing Scrum ceremonies (stand-ups, sprint planning, reviews, retrospectives) and embedding Agile values into the development processPreferred, not required: familiarity with data platforms or MLOps concepts (data pipelines, model training lifecycle); background in autonomous vehicles, heavy equipment, mining/construction, or other safety-critical/regulated industrial environments; prior experience on a Co-Innovation or Discovery-style enterprise engagement; a BA certification (CBAP, PMP, CSM, or equivalent).

We offer

• Opportunity to work on cutting-edge projects
• Work with a highly motivated and dedicated team
• Competitive salary
• Flexible schedule
• Benefits package - medical insurance, vision, dental, etc.
• Corporate social events
• Professional development opportunities
• Well-equipped office

Please note that all onboardings must occur in person and you may be asked to travel to attend.

About us
Grid Dynamics (NASDAQ: GDYN) is a leading provider of technology consulting, platform and product engineering, AI, and advanced analytics services. Fusing technical vision with business acumen, we solve the most pressing technical challenges and enable positive business outcomes for enterprise companies undergoing business transformation. A key differentiator for Grid Dynamics is our 8 years of experience and leadership in enterprise AI , supported by profound expertise and ongoing investment in data , analytics , cloud & DevOps , application modernization and customer experience . Founded in 2006, Grid Dynamics is headquartered in Silicon Valley with offices across the Americas, Europe, and India.