Manager | Resource/ Workforce Management | Bengaluru | Forensic & Financial Crime

Manager | Resource/ Workforce Management | Bengaluru | Forensic & Financial Crime
• Job requisition ID : 105583 
• Location: Bengaluru
• Entity: Deloitte South Asia LLP 

The team

 Innovation, transformation and leadership occur in many ways. At Deloitte, our ability to help solve clients’   most complex issues is distinct. We deliver strategy and implementation, from a business and technology view, to help you lead in the markets where you compete.

We use our global network, extensive industry experience and advanced analytical technology to understand and resolve issues. We also have the capabilities to deliver proactive advice to reduce the risk of future problem. Learn more about our Risk Regulatory & Forensic Practice.

Your work profile

Role Summary

The Resource Management Manager will be responsible for end-to-end workforce planning, talent deployment, and recruitment alignment for the Analytics practice. The role requires working knowledge of core analytics skillsets (Python, SQL, Data Visualization, Agile/Scrum) to effectively translate business demand into resourcing strategies and ensure optimal utilisation of talent aligned to engagement requirements.Support the NetReveal services team by documenting functional, technical, architecture and data management requirements.

Key Responsibilities

1. Demand & Capacity Planning

• Partner with Practice Leadership to forecast demand and build rolling resourcing plans
• Translate pipeline into role-level skill requirements and competency needs
• Maintain visibility of capacity, utilisation, and hiring demand

2. Resource Deployment & Utilisation

• Drive allocation of resources to engagements based on skills, experience, and availability
• Monitor and optimise utilisation, bench, and chargeability metrics
• Enable agile staffing models (squad-based / project-based resourcing)

3. Recruitment Integration

• Work closely with Talent Acquisition to define job requirements and sourcing strategies
• Screen and validate candidates for technical alignment (Python, SQL, Visualization tools)
• Build and maintain a ready pipeline of analytics talent

4. Skills & Capability Management

• Maintain a structured view of analytics capabilities including:
  • Programming (Python, SQL)
  • Visualization (Power BI, Tableau)
  • Data engineering fundamentals
  • Agile / Scrum exposure
• Identify capability gaps and support upskilling initiatives

5. Stakeholder Management

• Act as a central interface between:
  • Engagement teams
  • Practice leadership
  • Talent Acquisition
• Provide regular MIS and dashboards on resourcing status, risks, and hiring progress

6. Process Excellence & Governance

• Implement standardised resource management processes and reporting frameworks
• Leverage resource management tools and dashboards for decision support
• Ensure alignment with Deloitte delivery and quality standards

Key skills required: 

Experience

• Qualification - B. E / B. Tech or equivalent
• 10+ years of experience in: 
  • Resource management / workforce planning
  • Recruitment within analytics / technology environments
  • Project management
• Experience in professional services / consulting firms preferred

Technical & Functional Skills

• Working knowledge of:
  • Python, SQL
  • Data Visualization tools (Power BI, Tableau)
• Understanding of:
  • Analytics roles (Data Scientist, Data Analyst, Data Engineer)
  • Agile delivery and Scrum methodologies

(Hands-on coding is not required; strong conceptual understanding is essential.)

Core Competencies (Deloitte-Aligned)

• Delivery Excellence: Drives efficient staffing and utilisation outcomes
• Client & Market Focus: Aligns talent supply with evolving analytics demand
• Leadership & Stakeholder Management: Builds strong internal networks across teams
• Analytical Thinking: Uses data to drive resourcing decisions and forecasting
• Operational Excellence: Implements structured processes and governance

Key Performance Indicators (KPIs)

• Demand fulfilment within SLA timelines
• Utilisation and bench optimisation metrics
• Quality and timeliness of hiring pipeline
• Accuracy of forecasting and capacity planning