Company Description
Brillio is a leading Enterprise AI Accelerator that helps Fortune 1000 companies transform AI ambitions into scalable, impactful solutions. Using its proprietary AI accelerator platform, ADAM (Agentic Data and Application Management), Brillio drives digital transformation across key areas including business-led initiatives, customer experience, AI and data engineering, digital engineering, and infrastructure engineering. With 14 global delivery locations across North America, Europe, and Asia, Brillio boasts a team of over 6,000 skilled professionals dedicated to delivering measurable outcomes. Focused on blending industry expertise, innovation, and modern engineering, Brillio achieves rapid and sustainable transformation for its clients.
Primary Skills
- Revenue Forecasting, SOW creation and scope tracking, P&L Management, Program Management, People Management, Project Analytics, Escalation Management
Specialization
- Delivery Management: Project Manager
Job requirements
- Experience Range:
- 5 - 8 years of experience in delivery management, with proven expertise in project and program management within data engineering environments
- Key Responsibilities:
- 1. Manage end-to-end delivery of data engineering projects, ensuring timely completion and adherence to scope, quality, and budget
- 2. Develop and track Statements of Work (SOW), maintaining clear scope definitions and monitoring progress against deliverables
- 3. Forecast project revenue accurately and proactively manage project financials, including P&L oversight and budget control
- 4. Lead program management activities, coordinating multiple workstreams and ensuring alignment with organizational objectives
- 5. Analyze project performance metrics and generate actionable insights to drive continuous improvement and optimize outcomes
- 6. Oversee people management tasks, including resource allocation, team development, and performance reviews
- 7. Identify, escalate, and resolve project risks and issues promptly, maintaining stakeholder confidence and minimizing disruptions
- 8. Collaborate with cross-functional teams and stakeholders to ensure seamless project execution and successful delivery
Required Skills:
- 1. Expertise in revenue forecasting for data engineering and analytics projects
- 2. Proficiency in SOW creation, scope tracking, and change management
- 3. Advanced skills in P&L management and financial reporting
- 4. Strong program management capabilities in technical delivery environments
- 5. Experience with project analytics and performance measurement tools
- 6. Escalation management in complex, multi-stakeholder projects
- 7. Resource planning and people management within technical teams
- 8. Familiarity with project management platforms such as Jira, MS Project, or similar
- 9. Knowledge of data engineering workflows and best practices
- 10. Ability to interpret and analyze project financials and metrics
Preferred Skills:
- 1. Hands-on experience with cloud-based data platforms (e.g., AWS, Azure, Google Cloud)
- 2. Certification in project management methodologies (e.g., PMP, PRINCE2, Agile)
- 3. Experience in managing data engineering projects in large enterprise environments
- 4. Expertise in advanced project analytics and reporting tools
- 5. Knowledge of data governance and compliance frameworks
Desired Qualifications:
- 1. Bachelor's degree in Computer Science, Engineering, Information Technology, Business Management, or a related field
- 2. Project Management certification (PMP, PRINCE2, or Agile) preferred
