New opportunity

S&C GN - TS&T – AI & Data Strategy - Senior Manager

Accenture · Gurugram, India

About this role

Drive large-scale, complex AI-led technology transformation programs for strategic global clients within Accenture's Technology Strategy & Transformation practice. The role focuses on leading enterprise-wide transformation initiatives across Technology Modernization, AI Enterprise Transformation, M&A, and Enterprise Agility to deliver strategic business outcomes, operational excellence, and measurable value. In the detailed job text, the role is also framed as a delivery leadership position (Tech Transformation delivery leader / Associate Director) with P&L accountability for accounts and portfolios managing budgets between $5M and $30M.

Responsibilities

Own end-to-end delivery accountability across an account or multi-program portfolio of strategic transformation initiatives, managing budgets from $5M to $30M and teams of 50-150+ FTEs.
Lead and manage scaled deployment of Agentic AI, Generative AI, automation, and digital workforce solutions within enterprise transformation programs.
Establish governance, risk management, and adoption frameworks for the responsible deployment of AI-enabled transformation initiatives.
Define and enforce portfolio-level delivery standards, governance frameworks, quality controls, Agile delivery models, and CI/CD practices.
Lead executive governance forums and steering committees, serving as a trusted strategic delivery advisor to C-suite executives and board-level stakeholders.
Govern complex multi-program integration, data migration streams, and cloud-native or API-led architecture transitions across internal teams, clients, and third-party vendors.
Manage account P&L, actuals, forecasts, margin protection, revenue recognition, commercial change control, and contract negotiations.
Track and report measurable transformation outcomes at the board level, including cost reduction, revenue growth, operational efficiency, and risk reduction.
Drive continuous delivery innovation, deal-shaping, proposal strategies for account expansion, and practice development.

Experience requirements note 12-14 years in the header posting details and 17+ years in the detailed delivery leader section.

For full details about this role, click “Apply on company site” to view the employer’s original posting.

Skills for this role

AI StrategyData StrategyTechnology TransformationAgentic AIGenerative AIAutomationDigital Workforce SolutionsMainframe ModernisationCloud-Native ArchitectureAPI-led ArchitectureAgile Delivery ModelsCICDSystems ImplementationData MigrationP&L ManagementPortfolio ManagementExecutive Stakeholder ManagementVendor StrategyCommercial Governance

Checking your profile…

Preparation suggestions, not the employer’s actual interview questions. Always check the original posting for current requirements.

Understand the role

What matters most

Scaled Deployment of Agentic and Generative AI
Drive the transition from conceptual AI pilots to enterprise-grade adoption. The role requires establishing governance, risk management, and adoption frameworks to deploy Agentic AI, Generative AI, and digital workforce solutions within client organizations.
Large-Scale Delivery Execution and Modernization
Direct end-to-end execution of complex transformation programs involving 50 to 150+ FTEs. Key focus areas include legacy mainframe modernization, cloud-native and API-led architectural shifts, CI/CD embedment, and multi-vendor dependency governance.
Account P&L and Commercial Governance
Take direct financial accountability for program budgets ranging from $5M to $30M. Priorities include managing actuals and forecasts, protecting margins, leading contract scope adjustments, and driving account growth through deal shaping.
C-Suite Advisory and Executive Value Realization
Partner with CIOs, CTOs, and board-level stakeholders to steer transformation committees. The role centers on translating strategic technical narratives into measurable commercial outcomes, such as cost reduction, risk reduction, and speed-to-market.

Likely challenges to think through

Scaling Agentic AI Beyond Controlled Pilots
Enterprises often face skepticism regarding autonomous AI reliability, safety, and integration with legacy workflows. Prepare by articulating concrete governance and evaluation frameworks, demonstrating prior experience in driving cultural and operational AI adoption, and balancing innovation with risk management.
Balancing Legacy Modernization with Rapid AI Innovation
Integrating modern cloud-native AI tools with complex, decades-old mainframe systems creates architectural and scheduling friction. Prepare by detailing trade-offs between phased refactoring and API encapsulation, explaining how to maintain operational continuity during complex data migrations.
P&L Protection Amidst Shifting Transformation Scope
Managing large $5M-$30M programs across multiple third-party vendors and internal teams risks margin slippage and delivery delays when client scope fluctuates. Prepare case examples showing rigorous commercial change control, proactive margin defense, and realistic resource demand-supply forecasting.

Practice your answers

Technical practice

How do you establish governance and risk management frameworks for deploying Agentic AI solutions in an enterprise?

What to coverThe candidate should address autonomous decision-making boundaries, human-in-the-loop controls, compliance, and responsible AI guardrails. Discuss specific metrics for operational adoption and how to mitigate model drift or hallucination risks across business functions.

What architectural and delivery strategies do you use when transitioning legacy mainframe systems to cloud-native platforms?

What to coverExplain technical strategies such as domain-driven design, API encapsulation, and phased cutover vs. big-bang migration. Address managing complex data migration streams, business continuity, and risk mitigation across interdependent systems.

How do you measure and report AI-led transformation value at the board and C-suite level?

What to coverFocus on defining clear value realization frameworks that tie technical deliverables to executive KPIs like cost takeout, revenue growth, and cycle-time reduction. Describe how to present operational metrics versus commercial impact clearly in transformation steering committees.

How do you manage account P&L, forecast actuals, and defend margins across a $5M-$30M portfolio?

What to coverDiscuss financial governance mechanisms, including commercial change control, resource cost modeling, revenue recognition timing, and margin protection. Detail how to handle unforeseen delivery bottlenecks without sacrificing agreed portfolio margins.

How do you govern complex multi-program integrations involving third-party vendors and client teams?

What to coverDetail dependency mapping, interface management, and unified governance standards across heterogeneous delivery teams. Discuss clear SLA definition, risk escalation paths, and architectural arbitration between internal and external partners.

How can AI and automation be effectively integrated into the SDLC to improve enterprise delivery efficiency?

What to coverAddress specific injection points such as automated code generation, automated testing, CI/CD pipeline optimization, and code review governance. Highlight how to benchmark efficiency gains while maintaining quality controls and code security.

What approach do you take to define and enforce portfolio-level delivery standards across 50-150+ FTEs?

What to coverExplain how to institute standardized Agile delivery frameworks, CI/CD practices, and uniform quality gates across multiple concurrent workstreams. Cover tooling standardization, coaching mechanisms for delivery leads, and audit cadences.

How do you structure deal-shaping and commercial expansion proposals for enterprise technology clients?

What to coverAddress identifying expansion opportunities within existing transformation programs, structuring viable commercial models, and aligning technical scope with client ROI. Detail how to position emerging AI capabilities to support follow-on work.

Behavioural practice

Describe a situation where you had to advise a C-suite executive against their preferred transformation approach.

What to coverThe candidate should outline the initial context and differing viewpoints, the data-driven actions taken to influence the executive narrative, and the ultimate strategic result for the program. Ensure focus is kept on clear stakeholder management and constructive advisory skills.

Can you share an example of managing a critical delivery escalation across multiple conflicting vendors?

What to coverDetail the specific operational conflict or delay, the actions taken to establish dependency accountability and realign contract scope, and the measurable delivery outcome achieved. Highlight objective arbitration and executive transparency under pressure.

Tell me about a time you had to realign program execution to protect account profitability amidst scope creep.

What to coverExplain the situation where scope changes threatened engagement margins, the specific commercial change controls and client negotiations initiated, and the resulting financial and delivery impact. Focus on balancing commercial firmness with client relationship health.

Describe how you led and coached a large, multidisciplinary delivery team through major operating model changes.

What to coverFocus on a scenario involving 50+ FTEs transitioning to modern Agile, CI/CD, or AI-enabled delivery practices. Detail the coaching and governance actions implemented to overcome resistance and the measurable improvement in team performance.

Sharpen your knowledge

Topics to prepare

Enterprise Agentic AI & Generative AI Governance
Relevance: The posting explicitly requires leading the scaled deployment of Agentic AI, Generative AI, and digital workforce solutions, along with establishing governance, risk management, and adoption frameworks. Revision Exercise: Draft a comprehensive governance framework outline for rolling out autonomous multi-agent workflows in a regulated enterprise, specifying risk guardrails, human-in-the-loop oversight points, compliance checks, and adoption metrics.
Legacy Modernization & Architecture Transformation Strategy
Relevance: Explicitly highlights mainframe modernization, systems implementation, cloud-native migration, and API-led architecture transitions within complex multi-program portfolios. Revision Exercise: Map out an architectural migration strategy that transitions a core mainframe transactional workload to cloud-native microservices via API encapsulation, identifying data synchronization risks, rollback mechanisms, and cutover stages.
Value Realization & Executive KPI Frameworks
Relevance: Direct source requirement to track measurable transformation outcomes at the board level, including cost reduction, revenue growth, operational efficiency, risk reduction, and speed-to-market. Revision Exercise: Build a board-level value scorecard for an AI-led transformation program, tying technical milestones (such as SDLC acceleration and automation rates) to hard financial and operational metrics.
Large-Scale Portfolio Governance & Agile Embedment
Relevance: The posting mandates defining and enforcing delivery standards, quality controls, modern CI/CD, and Agile delivery models across programs of 50-150+ FTEs. Revision Exercise: Outline a portfolio governance charter detailing cadence, reporting structures, escalation paths, and delivery KPIs across multiple disparate cross-functional delivery streams and vendor partners.

Skills to revise

Program P&L & Commercial Change Management
Relevance: Directly calls for taking P&L accountability for accounts with $5M-$30M budgets, protecting margins, managing forecasts, and negotiating commercial scope changes. Revision Exercise: Run a simulated budget reconciliation for a $15M multi-year engagement facing scope creep, modeling how to structure a formal change request, adjust margin forecasts, and reallocate team capacity.
Executive Steering & CxO Narrative Structuring
Relevance: Explicit duty to lead executive governance forums, steering committees, and shape CxO transformation roadmaps. Revision Exercise: Create a structured 5-slide executive steering committee deck resolving a critical delivery delay, balancing technical remediation with transparent commercial trade-offs and clear decision requests for C-suite sponsors.
Multi-Vendor Integration & Dependency Mapping
Relevance: The source requires governing complex integrations across internal teams, client stakeholders, and third-party vendors, managing interface points and data migration streams. Revision Exercise: Construct a critical-path dependency matrix resolving an integration bottleneck among a core legacy platform team, a third-party vendor, and a cloud data engineering stream.

Your preparation checklist

Prepare an Agentic & Generative AI Deployment Case Walkthrough
Draft a structured presentation of a past initiative demonstrating enterprise AI deployment. Completion means having concrete talking points covering adoption frameworks, risk management, agentic workflow guardrails, and measurable business outcomes.
Synthesize a Complex Legacy & Cloud Modernization Architecture Story
Outline a practical narrative detailing the migration or integration of legacy mainframe architectures into cloud-native, API-led systems. Completion looks like a clear step-by-step walkthrough addressing data migration streams, dependency management, and business continuity.
Document Evidence of P&L Ownership and Commercial Governance
Compile concrete metrics from past portfolio management roles showing direct revenue accountability within a $5M to $30M range. Completion means being ready to detail budget management, margin protection strategies, forecasting, and scope change management.
Draft a Board-Level Value Realization and Benefits Framework
Design a sample 1-page executive scorecard illustrating how to measure and report transformation impact. Completion looks like a concise artifact mapping delivery milestones to hard executive metrics: cost reduction, revenue growth, efficiency, and risk reduction.
Formulate Multi-Vendor Integration and Program Governance Models
Prepare talking points and an operational model diagram illustrating how to govern 50-150+ FTE programs. Completion means clearly defining RACI matrices, cross-vendor dependency management, CI/CD quality gates, and executive escalation protocols.
Develop Strategic Questions for Accenture Leadership
Formulate 3-5 high-level questions focused on client AI adoption appetite, typical vendor integration ecosystems, and expectations for balancing P&L ownership with delivery leadership across the Global Network practice.

Availability has not yet been verified. Status can change after a check; confirm on the employer’s website. Report an issue · Our checking policy

KEEP EXPLORING

Similar AI jobs

Related skills and specializations in India. Matched to this role, not your profile.

Explore more jobs

Finding similar opportunities…