Data & AI Delivery Governance Lead

malomatia

Doha

On-site

QAR 180,000 - 240,000

Full time

5 days ago
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Job summary

Malomatia is seeking a seasoned Resource Planning lead in Doha to oversee Data & AI resource supply/demand across projects, pipelines, and backlogs. The role drives governance, budgeting, and forecasting while aligning resource plans with delivery milestones and stakeholder expectations.

The ideal candidate has 6–8 years in IT services or consulting, strong Excel and Power BI skills, and experience with Clarity or similar PPM tools.

Qualifications

  • Bachelor's degree in Engineering, Computer Science, Information Technology, Business Administration, Finance, or a related field.
  • 6–8 years of experience in business operations, resource management, PMO, delivery governance, or workforce planning within an IT services or consulting organization.
  • Strong understanding of resource supply-demand management and project-based workforce planning.
  • Experience working with project managers, finance, recruitment, sales, and resource-management teams.
  • Good understanding of project financial concepts including revenue, cost, margin, budget, and utilization.
  • Experience working with project/resource management, ERP, or workforce-planning systems.
  • Advanced working knowledge of Excel with strong capability in management reporting and data analysis.
  • Strong written and verbal communication skills in English, with the ability to follow through across multiple stakeholders.
  • Experience with resource-management platforms such as Clarity or equivalent systems.
  • Experience supporting annual budgeting, forecasting, or headcount planning.
  • Experience designing operational dashboards using Power BI or similar analytics tools.
  • Background in process improvement.
  • Understanding of the sales lifecycle, RFI/RFP processes, and delivery governance.

Responsibilities

  • Maintain an integrated view of Data & AI resource supply and demand across existing resources, incoming recruitment/partner pipelines, in-delivery projects, backlog, and sales pipeline.
  • Reconcile resource allocations across project plans, resource-management systems, and forecasts, identifying and resolving gaps or discrepancies.
  • Facilitate regular supply-demand reviews with stakeholders and track agreed resource actions through closure.
  • Strengthen governance around RFI/RFP reviews, deal qualification, and opportunity-to-project handover.
  • Support adoption of the agreed Data & AI delivery methodology, templates, and governance checkpoints.
  • Facilitate post-delivery feedback loops covering delivery performance, estimation accuracy, and lessons learned.
  • Support budget and forecast preparation by aligning resource plans with delivery, backlog, and pipeline requirements.
  • Maintain operational calendars, action trackers, and management dashboards covering resource health and delivery readiness.
  • Identify process bottlenecks and drive standardization, automation, and continuous improvement across operational workflows.
  • Develop and maintain SOPs, process maps, RACI matrices, and governance templates for critical processes.
  • Provide Practice Leadership with reliable, decision-ready information on resource, delivery, and process performance.

Skills

Strong communication
Resource management
Delivery governance
Process improvement
Budgeting and forecasting
Data analysis
Management reporting
Stakeholder coordination
Sales lifecycle knowledge
RFI/RFP understanding

Education

Bachelor's degree in Engineering / IT / related field

Tools

Excel
Power BI
Clarity

Job description

Malomatia is seeking a seasoned Resource Planning lead in Doha to oversee Data & AI resource supply/demand across projects, pipelines, and backlogs. The role drives governance, budgeting, and forecasting while aligning resource plans with delivery milestones and stakeholder expectations.

The ideal candidate has 6–8 years in IT services or consulting, strong Excel and Power BI skills, and experience with Clarity or similar PPM tools.

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