Vice President, Data & AI Gigafactory Delivery Industrialization leader

Key Responsibilities

Operational Leadership:

• Lead the overall delivery operations of the Gigafactory, ensuring synergies and lean operations across all programs.
• Drive standardization, scalability, and agility across delivery models. Collaborate with global delivery leads and vertical heads to align operational goals with business outcomes.
• Margin Management: Build and own a framework for delivered profit margin improvement across all engagements in the Gigafactory.
• Drive cost efficiency, pricing levers, pyramid optimization, and productivity initiatives.
• Regularly review and course-correct underperforming engagements in collaboration with vertical P&L owners.

Strategic Delivery & Growth Enablement

• Partner with sales and transformation teams to design delivery models aligned with client expectations and commercial targets.
• Innovate and institutionalize future-ready delivery solutions with a focus on digital, automation, and GenAI integration.
• Ensure optimal utilization of talent and infrastructure for maximum ROI.

Stakeholder Management

• Act as a key interface between delivery, finance, transformation, and vertical leadership.
• Present performance dashboards and strategic interventions to executive leadership.
• Lead cross-functional reviews to ensure alignment of operational KPIs and strategic priorities.

Factory Industrialization & Standardization

• Design and execute onboarding frameworks to operationalize new projects within the AI Gigafactory.
• Define scalable delivery playbooks, reusable frameworks, and standard operating procedures.
• Enable rapid project industrialization while maintaining quality, compliance, and delivery velocity.
• Institutionalize shared services (e.g., QA, automation, release, support) and central governance to maximize efficiency.

Financial Ownership & P&L Understanding

• Monitor, analyse, and drive improvements in projects level, industry verticals and factory-level gross margin.
• Work with finance, delivery, and resourcing teams to align team structures with cost and revenue models.
• Contribute to forecasting, budgeting, and profitability analysis.
• Identify margin leakage and implement corrective actions proactively (e.g., automation, better pyramid, change controls).
• Understand and interpret P&L reports to support business decisions and scaling strategies.

Productivity Measurement & Improvement

• Define and track productivity metrics (e.g., story points per FTE, ticket resolution rates, defects per sprint).
• Benchmark current performance and drive continuous improvements through automation, tools, and best practices.
• Design dashboards and reports to enable transparency into delivery health, cost efficiency, and output quality.

Many Project Management & Scaling

• Operate and optimize a multi-project, multi-account delivery environment using a shared factory setup.
• Drive governance and delivery assurance across diverse programs with varying scopes, SLAs, and technologies.
• Maintain a delivery rhythm through structured cadences, dashboards, and stakeholder communications.

Qualification & Requirements

Minimum

• Bachelor’s in Computer Science, Information Technology, or Engineering; MBA or operations/finance certification preferred.
• Extensive experience in global operations management within the IT/BPM industry, with proven success in margin expansion and large-scale delivery transformation.
• Proven experience in managing factory-style or shared delivery models with multiple concurrent projects.
• Prior experience in leading factory models or horizontal delivery organizations across geographies
• Deep understanding of P&L levers, operational metrics, and digital transformation enablers.
• Strong grasp of delivery financials, P&L ownership, and margin optimization.
• Exceptional executive presence, stakeholder management, and influencing skills.
• Exposure to multiple industry verticals and ability to operate in matrixed structures.
• Strong analytical mindset with ability to translate data into actionable strategy.
• Expertise in agile, DevOps, ITSM, and hybrid delivery models.

Preferred

• Familiarity with data engineering, managed services, or platform modernization projects.
• Hands-on experience with cost modeling, rate card design, effort estimation, and f inancial tracking tools.
• Exposure automation and analytics for delivery operations.
• Lean Six Sigma or similar process excellence certifications.
• MBA from a reputed institution is preferred

Benefits

No information available.