VP Practices Client Leader

Job Requirements

Role Overview

• Engage senior client executives to identify opportunities to transform business operations, customer experiences, and employee experiences through automation and AI.
• Develop client-specific strategies for intelligent automation, business orchestration, AI agents, process modernization, and digital experience transformation.
• Help clients determine where deterministic automation, reasoning agents, human decision‑making, workflow, and traditional applications should each play a role.
• Advise clients on the evolution from traditional workflow automation toward agentic operating models and systems of agency.
• Translate emerging AI and automation technologies into practical business strategies and investment priorities.

Business Process & Orchestration Transformation

• Identify complex, cross‑functional business processes that require orchestration across people, AI agents, enterprise platforms, applications, and data.
• Shape future‑state operating models that reduce fragmentation, manual coordination, and process debt.
• Promote business‑context orchestration as the layer that coordinates work across systems of record, systems of engagement, AI agents, and human participants.
• Identify opportunities to replace brittle point automation with governed, observable, end‑to‑end business processes.
• Help clients rationalize and modernize existing BPM, workflow, RPA, and low‑code estates.

Agentic AI & Intelligent Automation

• Define practical strategies for incorporating AI agents into enterprise business processes.
• Identify where reasoning agents can augment or replace manual analysis, research, decision support, and knowledge work.
• Determine where predictable or deterministic agents remain preferable because of cost, control, regulatory, or operational requirements.
• Design operating models in which humans, deterministic agents, and reasoning agents collaborate within shared business context.
• Help clients establish governance, controls, observability, security, and cost discipline for enterprise AI agents.
• Promote responsible use of AI while balancing innovation with business reliability, auditability, and economics.

Business Experience Transformation

• Help clients design business experiences that simplify interactions for customers, employees, partners, and operations teams.
• Reimagine fragmented user journeys as coordinated, context‑aware experiences supported by automation and AI.
• Connect customer experience, employee experience, workflow, case management, decisioning, and AI into unified business outcomes.
• Ensure experience transformation is driven by business intent and process simplification rather than by technology implementation alone.

Platform & Architecture Strategy

• Provide platform‑agnostic guidance across technologies such as Pega, Camunda, UiPath, enterprise workflow platforms, hyperscaler AI services, and custom engineering.
• Help clients determine the appropriate platform for each business capability based on business requirements, economics, scalability, maintainability, and strategic fit.
• Identify opportunities for platform consolidation, modernization, migration, and rationalization.
• Shape architectures that enable interoperability across automation platforms, AI agents, enterprise applications, APIs, events, and data.
• Avoid unnecessary platform proliferation while preserving flexibility where multiple platforms are strategically justified.

Growth & Business Development

• Originate and shape strategic opportunities within existing and prospective clients.
• Develop executive‑level points of view, transformation roadmaps, business cases, and solution concepts that create demand.
• Partner with account leaders and sales teams to convert client challenges into actionable transformation opportunities.
• Lead strategic pursuits and executive presentations for automation, AI, orchestration, and digital business transformation.
• Build pipeline, bookings, and revenue across the practice portfolio.
• Expand existing platform relationships into broader business transformation engagements.

Offering & Market Development

• Help define and evolve Virtusa offerings across intelligent automation, agentic AI, process engineering, business orchestration, digital platforms, and experience transformation.
• Convert emerging market trends into repeatable offerings, accelerators, methodologies, and sales narratives.
• Work with engineering, delivery, and innovation teams to industrialize client solutions into reusable capabilities.
• Identify opportunities to create new managed services and outcome‑based offerings around automation and AI.
• Contribute thought leadership that strengthens Virtusa's position in the automation and AI market.

Ecosystem & Alliance Leadership

• Maintain strong executive relationships with strategic technology partners across workflow, automation, AI, and orchestration.
• Work with partners such as Pega, Camunda, UiPath, Microsoft, AWS, Google Cloud, and other relevant ecosystem providers.
• Identify joint go‑to‑market opportunities and complementary technology combinations.
• Ensure alliance strategies remain driven by client outcomes rather than individual platform agendas.
• Leverage partner innovation while maintaining Virtusa's role as the trusted transformation advisor.

Delivery & Value Realization

• Remain engaged through solution shaping and execution to ensure the original business intent is preserved.
• Establish clear business outcomes, success measures, and transformation objectives during pursuit and solution design.
• Provide executive oversight for strategic programs and intervene where delivery risks threaten business outcomes or client confidence.
• Ensure solutions deliver meaningful improvements in automation, productivity, customer experience, operating cost, speed, and business agility.
• Help clients establish continuous modernization models so automation estates evolve rather than accumulate new technical and process debt.

Leadership Expectations

• Operate as a senior advisor to client executives rather than as a traditional product specialist.
• Lead with the business problem and business outcome before discussing platforms or technologies.
• Challenge clients constructively when legacy operating models or technology assumptions constrain transformation.
• Bring together consulting, engineering, AI, platform, domain, and delivery capabilities into a single client proposition.
• Develop senior practitioners and client‑facing leaders capable of carrying the same transformation narrative into the market.
• Create repeatability across accounts while preserving the ability to tailor strategies to individual client environments.

Work Experience

1015years #J-18808-Ljbffr