Project Manager-Data Mavericks

Project Manager

About the Role

The Project Manager ensures the successful execution of data-related projects by holding the team and Technical Lead accountable for delivery, managing risks, tracking scope, budget, and timeline, and aligning stakeholders throughout the project lifecycle. While the Technical Lead leads the technical team and execution, the Project Manager ensures that all commitments are met, issues are proactively managed, and the client experience remains smooth.

Key Responsibilities

• Project Execution & Accountability
  • Drive projects from initiation to closure, ensuring timely, on-budget, and high-quality delivery.
  • Hold the Technical Lead and team accountable for deliverables, ensuring alignment with project scope and commitments.
  • Proactively track progress, escalate risks, and ensure resolutions are in place.
• Scope, Timeline & Budget Oversight
  • Monitor project scope and prevent scope creep while ensuring that all deliverables are met.
  • Manage project schedules, dependencies, and milestones, keeping teams aligned.
  • Track project budget utilization, flag overruns early, and ensure financial alignment with progress.
• Stakeholder & Client Management
  • Act as the primary liaison between the client, Technical Lead, and internal teams, ensuring transparency and expectation alignment.
  • Lead client-facing meetings, including status updates, issue resolution discussions, and milestone sign-offs.
  • Build strong client relationships by ensuring consistent communication and proactive problem-solving.
  • Collaborate with the Account Management team to provide status updates and identified opportunities
• Risk & Issue Management
  • Identify risks early, hold the team accountable for mitigation plans, and escalate unresolved issues before they impact delivery.
  • Ensure the Technical Lead and engineers address blockers that could impact project success.
• Project Coordination & Reporting
  • Ensure seamless coordination between project stakeholders, including Technical Leads, engineers, and client teams.
  • Provide structured updates on project health, risks, and next steps, ensuring leadership and clients remain informed.
  • Organize collaborative sessions, including discovery workshops, demos, and feedback cycles.

Qualifications

• 3+ years of experience in project management for data-related projects (data engineering, analytics, or data science).
• Experience in a consulting environment, working directly with external clients.
• Strong understanding of data projects delivery methodologies (Agile, Waterfall, Kanban) and how they apply to data projects.
• Ability to track and manage project budgets, risks, and dependencies while holding teams accountable.
• Excellent stakeholder management and communication skills, including experience working with senior leadership on client teams.
• Preferred: MBA or PMP certification.
• Bonus: Background in Computer Science, Data Engineering, or Analytics.

Screening Questions (HR)

1. How many years of experience do you have managing data-related projects?
2. Have you worked in a consulting firm before? (Yes / No)
3. Do you have experience interacting directly with client stakeholders?
4. How do you ensure a project stays within scope, budget, and timeline?
5. Describe a situation where you had to hold a technical team accountable for missed deliverables.
6. What are the key risks in a data migration project, and how do you mitigate them?
7. What compensation do you expect?

Target Keywords (LinkedIn & Job Portals)

Project Management; Agile; Waterfall; Kanban; Data Engineering; Data Science; Analytics; Snowflake; Big Data; Risk Management; Client Management; Consulting

Process

1. Sowmya interview
2. Prash interview
3. Dmitriy interview