JOBWAVE VERIFIED

Sales Operations Technologist Manager

Company: Deloitte
Requisition Code: 369374
Management Level: Manager or equivalent
Locations: Bengaluru | Hyderabad | Pune | Chennai
Work Mode: Hybrid
Experience: 8+ Years
Salary: Not specified

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JOBWAVE INSIGHTS

Who is this for?

A seasoned technology consultant or manager with 8+ years of experience across Sales Operations, Commercial Operations, CRM, CPQ, or enterprise technology implementations.

The role is suited to someone who can combine commercial sales operations, enterprise architecture, Life Sciences domain knowledge, Agentic AI, consulting, client leadership, and pre-sales.

Key Skills

• Sales Operations
• Commercial Operations
• CRM
• CPQ
• Territory Management
• Account Alignment
• Quota Planning
• Pipeline Forecasting
• Pricing & Quoting
• Incentive Planning
• Salesforce
• Veeva
• Microsoft Dynamics
• Oracle / SAP CPQ
• Enterprise Integration
• APIs
• Middleware
• Workflow Automation
• Data Integration
• Agentic AI
• Generative AI
• LLMs
• RAG
• Tool Calling
• Responsible AI
• Human-in-the-Loop Governance
• Executive Communication
• Pre-Sales
• SOW Development
• Engagement Management
• Team Leadership

Priority Skills

Highest priority:

• Sales / Commercial Operations
• CRM and CPQ
• Enterprise solution architecture
• Life Sciences commercial operations
• Salesforce / Veeva / Dynamics / Oracle / SAP CPQ
• Enterprise integrations
• Agentic AI / GenAI
• Client engagement leadership
• Pre-sales
• Executive stakeholder management

Strong advantages:

• RAG and tool-calling implementations
• Responsible AI governance
• HCP/HCO master data
• Territory and field-force alignment
• Promotional compliance
• Consent management
• SOW authoring
• Engagement financial management
• Consulting team mentoring
• Reusable AI / technology accelerators

What to Prepare

• End-to-end commercial sales processes
• Territory and account alignment
• Quota planning
• Incentive compensation
• Pipeline forecasting
• Pricing and quoting
• Quote-to-cash processes
• CRM and CPQ architecture
• Salesforce / Veeva / Dynamics
• Oracle / SAP CPQ
• Middleware and API integration
• Agentic AI architecture
• GenAI and LLM applications
• RAG
• Tool calling
• AI agents for forecasting and sales operations
• Human-in-the-loop controls
• AI evaluation and guardrails
• HCP/HCO master data
• Life Sciences compliance
• Consent management
• Pre-sales
• Proposals and SOWs
• Engagement budgets and financials
• Risk management
• Executive workshops
• Team leadership

What to Focus On

1. Commercial Operations

Understand the complete commercial sales lifecycle:

• Territory planning
• Account alignment
• Targeting
• Quota planning
• Pipeline management
• Forecasting
• Pricing
• Quoting
• Incentive compensation
• Quote-to-cash

Be prepared to explain how technology can remove operational friction across these processes.

2. Enterprise Architecture

Prepare to design solutions that connect:

• CRM
• CPQ
• ERP
• Middleware
• Analytics
• APIs
• Workflow platforms
• Data platforms

Be ready to explain integration patterns, data flows, scalability, security, and platform trade-offs.

3. Agentic AI

Focus on practical enterprise use cases rather than theoretical AI.

Examples include:

• Automated sales forecasting
• Next-best-action recommendations
• Territory intelligence
• Automated CRM data cleanup
• Intelligent quoting
• Sales productivity assistants

Understand how AI agents interact with enterprise systems through LLMs, RAG, APIs, tools, and business workflows.

4. Responsible AI

Prepare to explain how enterprise AI systems can use:

• Human-in-the-loop checkpoints
• Access controls
• Audit trails
• Output evaluation
• Guardrails
• Error handling
• Monitoring
• Governance

Be ready to discuss how AI can be deployed while maintaining appropriate business controls.

5. Life Sciences Domain

Understand the technology and operational considerations around:

• HCP — Healthcare Professionals
• HCO — Healthcare Organizations
• Master data
• Field-force structures
• Territory alignment
• Promotional compliance
• Customer consent
• Pharma
• MedTech
• Biotech
• Diagnostics

6. Consulting & Client Leadership

Prepare examples demonstrating:

• Executive workshops
• C-suite communication
• Client discovery
• Solution design
• Stakeholder management
• Risk management
• Scope management
• Delivery leadership
• Business-value measurement

7. Pre-Sales

Be prepared to discuss:

• Proposal development
• Solution estimation
• Statements of Work
• Client demos
• RFP responses
• Pursuit strategy
• Business cases
• Technical solution presentations

Potential Gaps

Candidates may need additional preparation if they have:

• Strong technology experience but limited Sales Operations knowledge
• Limited CRM or CPQ implementation experience
• No Life Sciences domain exposure
• Limited Salesforce / Veeva experience
• Weak enterprise integration experience
• Limited Agentic AI or GenAI implementation experience
• No practical RAG or tool-calling experience
• Limited Responsible AI knowledge
• Little pre-sales experience
• Limited SOW or proposal experience
• No engagement financial management experience
• Limited C-suite stakeholder exposure
• Little experience managing multidisciplinary teams

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JOB DETAILS

Original Role Information

Role: Sales Operations Technologist Manager
Requisition Code: 369374
Management Level: Manager or equivalent
Locations: Bengaluru | Hyderabad | Pune | Chennai
Work Mode: Hybrid

The role sits within Deloitte's Customer practice and focuses on transforming Sales and Commercial Operations for Life Sciences organizations through enterprise technology, CRM/CPQ platforms, integrations, and Agentic AI.

Responsibilities

Enterprise Solution Architecture

• Design scalable commercial technology architectures.
• Integrate CRM, CPQ, ERP, middleware, and analytics platforms.
• Work across complex client technology environments.
• Define enterprise integration and technology strategies.

Agentic AI Leadership

• Identify practical AI opportunities within commercial operations.
• Design and deliver AI-enabled workflows.
• Develop use cases such as:
  • Sales forecasting
  • Next-best-action recommendations
  • Territory intelligence
  • Automated CRM hygiene
  • Intelligent quoting
• Establish human-in-the-loop governance.
• Define AI controls and evaluation mechanisms.

Life Sciences Solutions

• Design solutions for Life Sciences organizations.
• Address HCP/HCO master data requirements.
• Support field-force structures and territory models.
• Consider promotional compliance requirements.
• Address customer consent rules.

Engagement & Delivery Leadership

• Lead projects from discovery through value realization.
• Manage project timelines.
• Manage engagement financials.
• Track project risks.
• Coordinate multidisciplinary teams.
• Manage C-suite stakeholder relationships.
• Conduct executive workshops.

Practice Building & Pre-Sales

• Lead proposal pursuits.
• Develop Statements of Work.
• Support solution estimations.
• Build client-ready demonstrations.
• Contribute reusable intellectual property and accelerators.
• Support Deloitte's practice growth.

Talent Development

• Coach consultants and senior consultants.
• Provide structured feedback.
• Mentor delivery teams.
• Build team capabilities.
• Foster collaborative working environments.

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REQUIREMENTS

Experience

• 8+ years of experience leading:
  • Sales Operations
  • Commercial Operations
  • CRM
  • CPQ
  • Enterprise technology implementations
• Experience leading end-to-end client engagements.
• Experience managing multidisciplinary teams.
• Experience facilitating executive workshops.

Education

A Bachelor's degree in one of the following or equivalent:

• Business
• Information Systems
• Computer Science
• Engineering
• Life Sciences

Sales Operations

• Territory and account alignment
• Targeting
• Quota planning
• Pipeline forecasting
• Pricing
• Quoting
• Incentive structures
• Commercial operations

Enterprise Technology

Experience implementing across at least two enterprise platforms, such as:

• Salesforce
• Veeva
• Microsoft Dynamics
• Oracle CPQ
• SAP CPQ

Also required or valuable:

• Middleware
• APIs
• Workflow automation
• Data integration
• Enterprise architecture

AI & Advanced Technology

• Agentic AI
• Generative AI
• LLMs
• RAG
• Tool calling
• AI workflow implementation
• Responsible AI
• Human-in-the-loop governance
• AI evaluation

Leadership & Consulting

• Pre-sales leadership
• Proposal development
• Estimation
• SOW development
• Executive communication
• Risk management
• Team coaching
• Client relationship management

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QUALIFICATIONS

• Bachelor's degree in Business, Information Systems, Computer Science, Engineering, Life Sciences, or equivalent.
• 8+ years of relevant professional experience.
• Experience leading Sales Operations, Commercial Operations, CRM, CPQ, or enterprise technology implementations.
• Enterprise architecture and integration experience.
• Experience with multiple CRM/CPQ platforms.
• Practical understanding of Agentic AI and GenAI.
• Experience with LLMs, RAG, or tool calling.
• Understanding of Responsible AI and human-in-the-loop governance.
• Strong client engagement and executive communication skills.
• Pre-sales and proposal experience.
• Experience managing multidisciplinary delivery teams.
• Ability to manage project risks, timelines, and engagement financials.

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INTERVIEW PREPARATION

Phase 1 — Commercial Operations & Architecture

• Map the complete commercial lifecycle from territory alignment to quote-to-cash.
• Prepare examples of CRM/CPQ transformations.
• Review Salesforce, Veeva, Dynamics, Oracle/SAP CPQ integration patterns.
• Practice explaining enterprise data and API architectures.

Phase 2 — Agentic AI

Prepare 2–3 practical enterprise AI use cases.

For each one, explain:

• Business problem
• AI agent workflow
• Data sources
• LLM usage
• RAG requirements
• Tools/APIs used
• Human approval points
• Guardrails
• Error handling
• Evaluation
• Auditability
• Business outcome

Phase 3 — Consulting & Delivery

Prepare STAR-format examples covering:

• Leading a complex client engagement
• Managing scope creep
• Resolving stakeholder disagreements
• Managing project risks
• Handling delivery delays
• Managing engagement budgets
• Leading multidisciplinary teams
• Conducting executive workshops

Phase 4 — Pre-Sales & Executive Presence

Prepare examples involving:

• RFP responses
• Proposal leadership
• SOW creation
• Solution estimation
• Client demos
• Winning or progressing a major pursuit
• Building reusable accelerators
• Mentoring consultants

Frame answers around:

Problem → Approach → Architecture → Execution → Business Outcome

Use measurable outcomes wherever available, such as cycle-time reduction, forecasting improvements, productivity gains, adoption, cost reduction, or revenue impact.