Telecom Sector - Strategic Transformation Leader

Job Summary Objective and purpose

• With EYs rapid expansion of AIled transformation programs, the role will architect and deliver enterprisescale AI, data, and cloud modernization solutions
• The role will originate and win marquee AI transformation deals, integrating GenAI, data platforms, advanced analytics, and automation capabilities.
• Telecom sector experience will be used to strengthen gotomarket strategies, but the remit covers multiindustry AI and data opportunities.

Scope of the position

• Originate largescale AI and data transformation opportunities by interpreting disruption across cloud, GenAI, intelligent automation, data governance, data monetization, and industryspecific AI adoption trends.
• Serve as trusted advisor to Csuite leaders on AIdriven value creation, cost transformation, new revenue models, and dataenabled decision intelligence.
• Institutionalize pursuit excellence, improving win rates through disciplined qualification standards, AIenhanced proposal development, and differentiated value articulation.

Essential Functions of the Job

• Lead large, complex AItransformation pursuits, including enterprise GenAI programs, AInative operating model redesign, data platform modernization, cloud migration, and analyticsdriven performance improvement.
• Design and deliver enterprise data modernization programs including dataplatform engineering, data governance, MDM, data quality, metadata management, and advanced analytics implementations.
• Build and maintain senior executive relationships, positioning EY as the primary advisor for enterprise AI strategy, AIatscale implementation, and clouddriven data transformation.
• Design and deliver costtransformation and profitabilityimprovement programs encompassing networkoperations optimization, digital OSS/BSS modernization, shared services / GCO design, spectrumusage efficiency, and technologyenabled automation across customer operations, field services, and network engineering.
• Oversee development and commercialization of Telecomspecific assets, platforms, and benchmarking solutions, including networkcost benchmarks, telcototech migration frameworks, customeroperations maturity models, and 5G monetization toolkits, ensuring client relevance and market differentiation.
• Shape and articulate compelling, valuedifferentiated proposals that integrate capabilities across network transformation, operations, strategy, finance, technology, and organizational change to holistically address client needs.
• Drive integrated gotomarket initiatives across Consulting, SaT, Tax, and Assurance, ensuring a unified sector approach and leveraging crossserviceline expertise to bring holistic, businessoutcomeled solutions

Analytical/Decision making Responsibilities

• Exercise strategic judgment in evaluating pursuit opportunities, including deal qualification, winprobability assessment, competitive positioning, and required investment levels to secure large, complex transformation engagements.
• Make informed decisions on solution architecture and value propositions by analyzing networkoperations data, cost structures, customerexperience metrics, digitalstack maturity, and industry benchmarks to shape differentiated proposals.
• Direct the development of pricing, commercial models, and dealshaping strategies for major pursuits, balancing risk, margin, delivery feasibility, regulatory constraints, and client value considerations.
• Analyze client industry trends, competitive dynamics, and financial performance to inform account strategy, gotomarket priorities, and investment in sectorspecific assets or accelerators
• Make decisions on solution architecture involving GenAI, cloud platforms, data engineering, analytics, and automation, grounded in technical, financial, and operational analysis.

Education and Experience

• 25+ Years in Consulting (Big 4, strategy consulting), AI and data leadership roles, or large scale digital transformation
• Advanced degree preferred (MBA, MS in Data Science, Computer Science, Engineering)
• Experience in the telecom sector (network operations, OSS/BSS stacks, 5G/FTTx technologies)

Knowledge and Skill requirements

• Deep expertise in AI, GenAI, data engineering, data platforms, analytics, MLOps, cloud transformation, and responsible AI frameworks.
• Strong commercial and dealshaping skills with proven experience winning and delivering multitower AI and data transformation programs.
• Understanding of AI and data applications in telecom, including network analytics, customer intelligence, digital operations, OSS/BSS modernization, and AInative network automation.
• Ability to integrate crossfunctional capabilitiesstrategy, technology, risk, cyber, finance, organizational changeinto compelling AIenabled solutions.
• Exceptional Csuite communication, relationship building, and executive presence
• Expertise in governing enterprisescale AI and data programs, ensuring value, risk mitigation, and alignment with transformation outcomes.

Good to have (Differentiators)

• Experience with GenAInative architectures, agentic AI, enterprise LLM deployment, and AIenhanced workflows.
• Exposure to AI-native or autonomous telecom networks, AI-driven RAN/Core optimization, and selfhealing systems
• Experience leading large, multimarket AItransformation engagements across APAC, Middle East, Europe, Africa, or the Americas.
• Published thought leadership or participation in AI innovation forums, cloud summits, and global technology conferences