Head of GBS Transformation & Capabilities

The Kraft Heinz Company•Chicago, IL

6d•$220,800 - $276,000•Onsite

About The Position

The Head of Transformation & Capabilities leads the transformation and continuous improvement of scalable global services within GBS. Reporting to the Head of GBS, this role sets the strategic vision and drives execution across all capabilities, supporting the GBS vertical process teams and providing project, change, and management system support to the business. The role is accountable for translating GBS strategy into operational capabilities, realizing tangible business value from transformation initiatives, and building high-performing, innovative, and collaborative teams across the capability portfolio. The role also shapes the GBS AI transformation agenda, using Generative AI, intelligent automation, advanced analytics, and agentic solutions to redesign work, strengthen decision-making, and create measurable enterprise value.

Requirements

Bachelor's degree in Business, Operations, Finance, Engineering, Technology, or a related field.
Significant leadership experience in enterprise transformation, shared services, global business services, operational excellence, or a related environment.
Demonstrated experience setting transformation strategy and leading complex, cross-functional portfolios from design through adoption and value realization.
Strong track record of building capabilities, developing leaders, and enabling high-performing teams across global or matrixed organizations.
Experience partnering with senior executives, GCC leaders, global process teams, and operational stakeholders.
Practical experience with project delivery, change management, continuous improvement, and performance management systems.
Experience shaping or leading AI, Generative AI, automation, analytics, or digital transformation portfolios, including use-case prioritization and value realization.
Experience working across business, technology, data, risk, and change teams to move emerging technology solutions from concept to scaled adoption.
Strategic thinking with the ability to connect enterprise priorities to executable transformation roadmaps.
Strong leadership, ownership, decision-making, and influencing skills in a complex matrix environment.
Excellent executive communication, storytelling, facilitation, and stakeholder management capabilities.
Strong commercial and analytical orientation, with the ability to define value cases and measure outcomes.
Ability to lead through ambiguity, manage competing priorities, and mobilize teams around shared outcomes.
Collaborative mindset with the ability to challenge constructively, manage conflict, and incorporate different perspectives.
Strong understanding of AI-enabled operating models, Generative AI, intelligent automation, data and analytics, and their application to business transformation.
Ability to translate emerging technology into practical business opportunities, investment choices, governance requirements, and measurable outcomes.
Working knowledge of responsible AI principles, including human oversight, privacy, security, transparency, fairness, and risk management.

Nice To Haves

Master's degree or MBA is preferred.

Responsibilities

Define and lead the GBS transformation and capabilities agenda in alignment with the overall GBS strategy and business priorities.
Translate strategic ambition into a clear portfolio of transformation initiatives, roadmaps, governance, milestones, and measurable outcomes.
Partner with GBS vertical process teams to identify opportunities, prioritize initiatives, and accelerate adoption of scalable global services.
Ensure transformation programs deliver tangible and sustainable business value while maintaining clear accountability for outcomes.
Define and execute the GBS AI transformation roadmap, aligned with enterprise strategy, business priorities, and the broader digital and data agenda.
Build and govern a portfolio of AI-enabled use cases, prioritizing initiatives based on strategic value, feasibility, risk, scalability, and measurable business outcomes.
Sponsor the progression of high-value AI initiatives from discovery and pilot to production, adoption, and sustained value realization.
Develop and maintain a three-year transformation and capability roadmap that sequences operating-model, process, digital, analytics, and talent priorities across GBS.
Drive the progression of GBS services from transactional processing and descriptive reporting toward predictive insight, prescriptive recommendations, and more proactive business support.
Prioritize the transformation portfolio using strategic fit, customer impact, feasibility, risk, scalability, and quantified value potential.
Establish and strengthen continuous improvement disciplines, standards, and management systems across GBS capabilities.
Lead process discovery and improvement efforts in close alignment with GCC and global process teams, while maintaining appropriate role and scope separation.
Use performance insights, stakeholder feedback, and operational data to identify gaps and guide improvement priorities.
Promote simplification, standardization, automation, and scalable ways of working across the service portfolio.
Drive AI-powered process optimization through Generative AI, intelligent automation, predictive insights, and digital decision-support capabilities.
Redesign workflows, roles, and service delivery models to enable effective human-AI collaboration and shift capacity toward higher-value work.
Establish outcome-based measures for AI impact, including productivity, quality, cycle time, employee experience, and business value.
Provide project, change management, and management system support to the business and GBS process teams.
Build fit-for-purpose governance, routines, and reporting that improve execution visibility, decision-making, and risk management.
Drive stakeholder readiness, communication, adoption, and change sustainability for major transformation initiatives.
Anticipate interdependencies and remove execution barriers through cross-functional alignment and timely escalation.
Partner closely with Technology, Data, and Insights & Analytics teams to productize scalable transformation capabilities, including internal products, platform enhancements, decision-support tools, and real-time operational recommendations.
Build, lead, and develop high-performing, innovative, and collaborative teams across all capabilities.
Create clear accountabilities, strengthen leadership depth, and foster a culture of ownership, learning, and continuous improvement.
Coach leaders and teams to improve executive presence, strategic thinking, decision-making, collaboration, and delivery discipline.
Create exposure and stretch opportunities that prepare talent to lead increasingly complex transformation agendas.
Build AI literacy and role-based digital capability across GBS, enabling leaders and employees to use AI effectively, responsibly, and confidently.
Establish AI champions, communities of practice, and learning pathways that accelerate adoption, share reusable solutions, and scale effective practices across GCCs and global teams.
Act as a trusted strategic partner to the Head of GBS, GBS Leadership Team, GCC leaders, global process leaders, and business stakeholders.
Align diverse stakeholders around priorities, outcomes, resource needs, and practical implementation choices.
Communicate complex transformation topics with clarity and differentiated messaging for executive, functional, and operational audiences.
Use structured feedback, including leadership input and broader stakeholder perspectives, to strengthen execution and team effectiveness.
Establish governance for responsible AI, including clear decision rights, human oversight, risk assessment, data protection, security, ethical use, and regulatory compliance.
Partner with Technology, Data, Security, Legal, Risk, and functional teams to ensure AI solutions use approved platforms and meet enterprise architecture, data readiness, and control requirements.
Implement monitoring and feedback mechanisms to track adoption, model and solution performance, risks, control effectiveness, and realized value after deployment.
Balance speed of innovation with appropriate guardrails, ensuring that experimentation can scale safely and sustainably.