Senior Director - Operations

Virtusa Corporation

New York (NY)

On-site

USD 180,000 - 240,000

Full time

12 hours ago
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Job summary

Virtusa Corporation seeks a Senior Director to lead AI delivery and capability-building across strategic accounts. This delivery-first leadership role focuses on scaling AI capabilities, standardizing practices, and building talent benches.

You will serve as AI Lab SPOC, partnering with SBUs and GTM teams to translate AI strategies into executable roadmaps. The role emphasizes building scalable delivery capacity, maintaining technical rigor, and shaping solutions with CXO-level stakeholders

Qualifications

  • 18+ years of technology leadership in software engineering and global delivery.
  • 5+ years leading high-stakes AI/ML or GenAI programs from discovery to scale.
  • Proven ability to build delivery capacity and manage across VP/C-suite relationships.
  • Bachelor’s or master’s degree in CS, Engineering, or related field.

Responsibilities

  • Bridge gap between GTM teams, Technical R&D, SBUs.
  • Define and implement AI-native delivery frameworks to increase velocity and quality.
  • Ensure all SBUs adhere to organization-wide technical standards and execution rigor.
  • Work with Client Partners to build delivery capacity aligned with near and mid-term AI growth.
  • Lead demand forecasting and staffing strategies;oversee utilization, rotation & succession planning.
  • Partner with TA, L&D to define and acquire core AI competencies for the next 24 months.
  • Act as AI Lab delivery expert for key accounts, participating in CXO-level sessions to shape solutions,manage technical risk.
  • Assist in solution shaping,proposal reviews for complex AI initiatives.
  • Serve as the final authority for critical technical escalations, providing architectural or operational interventions.

Skills

Executive leadership
AI expertise
Global delivery
Strategic partnerships
CXO engagement

Education

Bachelor’s / Master’s in Computer Science, Engineering, or related field

Job description

  • Seeking a high-impact Senior Director to lead technical realization of our AI and Emerging Tech portfolios.This is a delivery-1st leadership role focused on building capacity,capability required to meet evolving needs of our strategic accounts.You will act as AI Lab SPOC, partnering with Business Unit (SBU) Heads to translate AI strategies into executable roadmaps. While SBUs own direct account delivery, your responsible for defining AI-native best practices, scaling talent benches,ensuring technical rigor across organization
AI Delivery & Capability Building
Delivery SPOC

Bridge gap between GTM teams, Technical R&D, SBUs

Methodology

Define and implement AI-native delivery frameworks to increase velocity and quality

Standardization

Ensure all SBUs adhere to organization-wide technical standards and execution rigor

Strategic Talent Planning
Scaling

Work with Client Partners to build delivery capacity aligned with near and mid-term AI growth

Fulfillment

Lead demand forecasting and staffing strategies;oversee utilization, rotation & succession planning

Competency Design

Partner with TA, L&D to define and acquire core AI competencies for the next 24 months

Client Partnership & Advocacy
Strategic Advisor

Act as AI Lab delivery expert for key accounts, participating in CXO-level sessions to shape solutions,manage technical risk

Pre-sales Support

Assist in solution shaping,proposal reviews for complex AI initiatives

Escalation Management

Serve as the final authority for critical technical escalations, providing architectural or operational interventions

Leadership

18+ years of technology leadership in software engineering and global delivery

AI Expertise

5+ years leading high-stakes AI/ML or GenAI programs from discovery to scale

Scale

Proven track record of building global delivery teams to support rapid enterprise expansion

Executive Presence

Ability to build trusted relationships at the VP/C-suite level through technical credibility

Foundations

Strong grasp of modern delivery models (Agile) and AI-driven engineering workflows

Education

bachelor’s / master’s in computer science, Engineering, or related field

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