Business Analyst (AI / Analytics Exposure)

Project Delivery & Execution

• Own end to end delivery of the fixed bid project, ensuring all milestones, deliverables, and acceptance criteria are met as per the SOW/MSA. Drive project planning, sprint execution, backlog management, and release coordination across engineering, QA, architecture, and client teams. Maintain strict control over scope, change requests, dependencies, and delivery risks to protect project margins and timelines. Ensure all deliverables meet quality, compliance, and documentation standards defined in the SOW.

Client & Stakeholder Management

• Act as the primary point of contact for the client for delivery, status, risks, and escalations. Conduct weekly status meetings, milestone reviews, and executive updates. Manage stakeholder expectations and ensure alignment between business, technical, and delivery teams. Drive UAT planning, coordination, and sign off with client teams.

Technical Leadership & Coordination

• Work closely with the Solution Architect, Tech Lead, and Engineering Leads to translate requirements into actionable plans. Understand technical architecture, integration patterns, and dependencies to proactively identify risks and blockers. Coordinate cross-functional teams across AI/ML, backend, SFMC, DSL, QA, DevOps, and cloud. Ensure engineering teams have clarity on requirements, priorities, and acceptance criteria.

Risk, Compliance & Governance

• Maintain a risk register, mitigation plans, and delivery governance artifacts. Ensure compliance with the MSA, SOW, SLAs, and change control processes. Drive internal governance reviews, including RAID logs, burn-down tracking, and milestone health checks. Manage dependencies, third-party integrations, and cross-team alignment.

Process & Delivery Excellence

• Implement delivery best practices: Agile/Scrum, hybrid models, documentation standards, and DevOps alignment. Ensure teams follow SDLC, QA, security, and release management processes. Drive continuous improvement and operational efficiency across the delivery lifecycle.

• 10+ years of IT project management experience, with 5+ years managing fixed bid or outcome based projects. Proven experience delivering complex technical projects involving cloud, AI/ML, Salesforce, or workflow automation. Strong understanding of software engineering processes, architecture fundamentals, and integration patterns. Experience working with cross-functional teams including architects, developers, QA, DevOps, and data/AI teams. Excellent skills in project planning, sprint management, RAID tracking, and stakeholder communication. Strong command of SOW/MSA interpretation, scope control, and change management. Experience with Agile/Scrum, JIRA, Confluence, and project reporting tools. Exceptional communication, negotiation, and client facing skills., * Experience delivering projects involving Salesforce (SFMC, Sales/Service Cloud), AI/ML, or DSL-driven automation. PMP, CSM, SAFe, or equivalent certifications. Background in IT services, consulting, or multi-vendor delivery environments. Experience managing distributed teams across onshore/offshore models.

Greetings from Galent, This is Dinesh R and I'm a Recruitment executive with Galent, We are one of the premier Talent Solutions partners with global fortune brands, helping them find the right talent for their teams working on next generation technology innovations.