1. Program Strategy & PMO Leadership
Establish and run the AI Efficiencies & Workflow Redesign PMO as a cross-BU center of excellence.
Build the enterprise opportunity pipeline of AI/GenAI use cases; prioritize based on value, feasibility, and risk.
Define program governance, KPIs (productivity gains, FTE re-deployment, $ savings, NPS, cycle time), and a value-tracking framework with Finance.
Maintain an executive-level program dashboard and report progress to the C-suite and steering committees.
2. Hands-on Program & Delivery Management
Personally drive end-to-end delivery of multiple concurrent AI/workflow initiatives across BUs.
Run discovery, design, pilot, scale, and adoption phases using agile/lean methods.
Manage cross-functional pods comprising business SMEs, data scientists, AI engineers, designers, and change managers.
Own risks, dependencies, budgets, vendor management, and stakeholder communication.
3. Workflow Redesign & Process Re-engineering
Lead "as-is to to-be" workflow mapping using Lean, Six Sigma, and design-thinking techniques.
Identify automation, augmentation, and elimination opportunities; redesign processes to be "AI-native."
Partner with BU heads to redefine operating models, roles, and SOPs post-AI deployment.
4. GenAI Tooling, Experimentation & Solutioning
Stay deeply hands-on with leading GenAI tools and platforms (e.g., ChatGPT/Enterprise, Microsoft Copilot, Google Gemini, Claude, GitHub Copilot, LangChain, LlamaIndex, vector databases, agentic frameworks, RAG architectures, low-code/no-code AI builders).
Personally prototype, demo, and pilot GenAI solutions—prompt engineering, custom GPTs/agents, workflow bots—before scaling.
Evaluate build vs. buy decisions; partner with AI/IT teams to operationalize solutions responsibly.
Maintain a working knowledge of model capabilities, limitations, cost, and Responsible AI considerations.
5. Change Management & Adoption
Drive end-user adoption through training, communications, and "AI champions" networks across BUs.
Co-create change management plans with HR and BU leadership; address concerns related to role evolution and reskilling.
Build internal capability through playbooks, reusable assets, and knowledge repositories.
6. Governance, Risk & Responsible AI
Ensure all initiatives comply with data privacy, security, IP, and Responsible AI policies.
Partner with Legal, Risk, InfoSec, and Compliance to maintain guardrails for GenAI usage.
Establish review checkpoints for model risk, bias, and ethical implications.
Required Qualifications & Experience
15+ years of total experience, with a strong foundation in program/project management, business transformation, and operations.
Bachelor's degree in Engineering, Computer Science, Business, or related field; MBA or equivalent preferred.
Minimum 1–3 years of hands-on experience working with GenAI/AI tools in an enterprise setting—either delivering AI products, leading AI transformation programs, or running AI-led process redesign.
Proven track record of leading large-scale, cross-functional transformation programs spanning multiple Business Units, geographies, or functions.
Demonstrated experience in workflow re-engineering, process automation, and operating model design (Lean/Six Sigma certifications a plus).
Strong delivery credentials: PMP, Prince2, SAFe, or equivalent Agile certifications preferred.
Experience managing budgets, vendors, and senior stakeholder relationships at the VP/CXO level.
Required Skills & Competencies
Technical & Tooling
Hands-on proficiency with GenAI platforms (ChatGPT Enterprise, Copilot, Gemini, Claude) and prompt engineering.
Familiarity with RAG, AI agents, automation platforms (UiPath, Power Automate, n8n, Zapier), and integration patterns.
Working understanding of LLMs, APIs, data pipelines, and AI governance frameworks.
Comfort with analytics and visualization tools (Power BI, Tableau).
Program & Business
Exceptional program management, structured problem-solving, and prioritization skills.
Strong financial acumen—able to build business cases and quantify ROI.
Outstanding executive communication, storytelling, and stakeholder influence.
Change leadership and the ability to drive adoption in resistant environments.
Personal Attributes
Hands-on operator's mindset—comfortable moving between strategy and execution.
Intellectually curious; continuously experiments with emerging AI tools.
Bias for action, outcome orientation, and high ownership.
Collaborative, low-ego, and able to thrive in ambiguity.
What Success Looks Like (First 12 Months)
Month 3: PMO operating model, governance, and value-tracking framework established; cross-BU use-case pipeline built and prioritized.
Month 6: 3–5 high-impact GenAI/workflow pilots delivered with measurable productivity outcomes.
Month 9: Scaled adoption of top 2–3 use cases across BUs; reusable playbooks and AI champions network in place.
Month 12: Demonstrated enterprise-level efficiency gains (quantified $ savings / FTE productivity); AI-native workflows embedded into BAU; second-wave roadmap funded and underway.
Why This Role
This is a rare opportunity to shape and lead the AI transformation agenda of an entire enterprise. You will work directly with senior leadership, influence the future operating model of the organization, and play a defining role in how our people and processes evolve in the age of AI.
If you are a seasoned program leader who is equally excited by strategy decks and tinkering with the latest GenAI agent—this role is built for you
Benefits
We understand the importance of work-life balance and wellbeing, which is why we offer flexibility for our teams including: hybrid work, adaptable hours, Summer Flex Fridays, Focus Fridays, and an annual companywide well-being day to promote revitalization and success.
Job Posting Statement
To protect candidates from falling victim to online fraudulent activity involving fake job postings and employment offers, please be aware our recruiters will always connect with you via @zebra.com email accounts. Applications are only accepted through our applicant tracking system and only accept personal identifying information through that system. Our Talent Acquisition team will not ask for you to provide personal identifying information via e-mail or outside of the system. If you are a victim of identity theft contact your local police department.
AI Technology Statement
Zebra Technologies leverages AI technology to evaluate job applications using objective, job-relevant criteria. This approach enhances efficiency and promotes fairness in the hiring process. However, every decision regarding interviews and hiring is made by our dedicated team, because we believe people make the best decisions about people. For more on how we use technology in hiring and how we process applicant data, see our Zebra Privacy Policy.
