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GE Vernova

Project Analyst – AI/ML & Innovation

Posted 7 Days Ago
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In-Office
Chennai, Tamil Nadu, IND
Mid level
In-Office
Chennai, Tamil Nadu, IND
Mid level
Plans and coordinates cross-functional AI/ML, software, and data projects from concept through production using Agile and NPI frameworks. Manages roadmaps, backlogs, risks, dependencies, stakeholder communication, project reporting, KPIs, business impact, and savings validation. Facilitates Scrum ceremonies, supports data and model delivery, tracks financial status, and drives continuous improvement across innovation projects.
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Job Description Summary

Job Description

Project analyst plans and coordinates complex AI/ML projects, working across different cross-functional teams.

The ideal candidate shall have experience managing software, AI, and data projects while mastering Agile and Scrum methodologies. 

The candidate must have experience with the New Product Introduction process (NPI), ensuring that innovative AI solutions move effectively from concept to ready for production.

Project analyst will work closely with Product Owners, engineering teams, and business stakeholders to ensure programs are aligned, well-governed, and delivered timely and effectively and will be owning the KPI and Project reporting

Project analyst will be accountable for tracking, capturing, and validating project-related savings in coordination with Product Owners, Business Leaders, and Finance.


Key Responsibilities:

Project Planning & Delivery:

  • Lead the planning and delivery of AI/ML software projects using Agile (Scrum/Kanban) or hybrid methodologies aligned with the NPI framework.
  • Ensure adherence to functional project management KPIs: On-Time Delivery, savings tracker accuracy, business impact, and specific AI success metrics defined during PoC or MvP phases.
  • Track progress against the project roadmap and highlight schedule, scope, or resource risks.
  • Proven experience on Project Management tools mandatory: JIRA, Azure DevOps

Agile Project Coordination:

  • Partner closely with Product Owners and software delivery teams to maintain a healthy, prioritized backlog.
  • Facilitate Agile ceremonies, including sprint planning, daily stand-ups, reviews, and retrospectives.
  • Support alignment between sprint-level delivery and overall NPI project milestones.

 Risk, Dependency & Issue Management:

  • Identify, track, and manage project-level risks, issues, and cross-team dependencies.
  • Support mitigation actions related to data readiness, model development, software integration, and deployment scalability.
  • Proactively escalate risks and coordinate the resolution process to ensure project outcomes are not compromised.
  • Maintain a rigorous risk register to ensure project success in terms of business impact, schedule, and budget alignment.

Stakeholder Communication & Reporting:

  • Act as the central point of coordination between technical delivery teams and business stakeholders.
  • Track and communicate project progress, performance metrics, and financial status to leadership.
  • Facilitate project meetings, action tracking, and rigorous follow-ups.
  • Own project reporting bowler including OTD, business impact, backlog, etc

Continuous Improvement:

  • Support continuous improvement of Agile project execution and software delivery practices within the Innovation function.
  • Lead teams in identifying process enhancements and implementing lessons learned from previous NPI cycles

Qualifications:

  • Bachelor’s degree in engineering, computer science, information systems, business, or a related field.
  • 3-5 years of experience in project management within a software, digital, or data-driven environment.
  • Strong working knowledge of Agile software development methodologies (Scrum, Kanban, or hybrid) and traditional NPI/Stage-Gate processes.
  • Proven ability to manage and influence cross-functional stakeholders.
  • Strong communication, organization, and analytical skills.

Key Competencies:

  • Agile project planning and execution
  • NPI Governance & Lifecycle Management
  • Software & AI/ML delivery coordination
  • Financial acumen & Value Tracking
  • Risks and dependency management
  • Clear, structured communication
  • Stakeholder engagement and influence

Additional Information

Relocation Assistance Provided: Yes



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