Manager-Business Management -Professional Services

It involves overseeing client projects, ensuring timely delivery and quality standards. Responsibilities include managing teams, optimizing processes, and fostering client relationships. The position requires strategic planning, problem-solving skills, and effective communication to achieve project goals and drive business growth

Qualifications & Skills

• Bachelor s degree in Business, Computer Science, Data Analytics, or related field.



• 4-5 years of experience

  in PMO, project reporting, or data analytics roles.


• Strong analytical skills with the ability to interpret complex datasets.


• Excellent written and verbal communication skills.


• Strong organizational skills with attention to detail.

Technical Skills (Preferred Tools Experience)

• Project Management Tools:

  MS Project, JIRA, Asana, or similar.



• Data Analytics & Visualization:

  Power BI, Tableau, or Qlik.



• Data Handling:

  Advanced Excel (pivot tables, macros, formulas), SQL.



• Presentation & Documentation:

  MS PowerPoint, Word, and SharePoint.

Key Attributes

• Self-driven with strong problem-solving ability.


• Comfortable working in fast-paced environments with multiple priorities.


• Ability to bridge the gap between project execution and data-driven insights.

Key Responsibilities

• PMO Support & Governance

  
  
  • Support project planning, execution, and governance processes.
  
  
  • Track project deliverables, milestones, and risks, ensuring alignment with business goals.
  
  
  • Prepare executive dashboards, project health reports, and governance packs.
  
  
  • Ensure compliance with organizational PMO standards, processes, and templates.
  
  



• Data Analytics & Reporting

  
  
  • Collect, clean, and analyze data from multiple sources to generate actionable insights.
  
  
  • Design and maintain dashboards to monitor KPIs, performance metrics, and resource utilization.
  
  
  • Perform trend analysis, root cause identification, and scenario modeling.
  
  
  • Partner with stakeholders to identify reporting needs and deliver accurate, timely insights.
  
  



• Stakeholder Management

  
  
  • Collaborate with cross-functional teams, project managers, and leadership to drive decision-making.
  
  
  • Communicate findings and recommendations clearly to both technical and non-technical stakeholders.