Job title: Project Manager - AI/ ML
Location - Irving, TX - 5 days onsite
12 months contract - W2
About the job
You will join a multidisciplinary AI and Personalization Platform organization spanning product management, AI/ML engineering, software engineering, data engineering, data science, architecture, platform operations, quality assurance, privacy, security, and external partners.
As Senior Project Manager, you will own end-to-end delivery for the AI and Personalization Platform roadmap. You will coordinate initiatives across platform foundations, data and feature capabilities, model and decisioning services, personalization services, experimentation, APIs, integrations, observability, and governance.
You will translate platform strategy into actionable delivery plans, establish clear intake and prioritization, manage dependencies across technical teams, and keep leadership informed through concise, decision-ready reporting. You will help the organization deliver AI and personalization capabilities that are scalable, reliable, measurable, responsible, and ready for enterprise adoption.
Basic qualifications
- PMP certification from the Project Management Institute required.
- 7+ years of project or program management experience delivering technical, software, data, platform, AI/ML, or digital initiatives.
- Demonstrated experience leading cross-functional delivery across product, engineering, data, architecture, operations, and business teams on concurrent, interdependent initiatives.
- Experience delivering or operating AI/ML, personalization, recommendation, decisioning, experimentation, or advanced analytics platforms; direct model development is not required.
- Working knowledge of the AI/ML and platform delivery lifecycle, including data readiness, solution development, evaluation, deployment, observability, monitoring, iteration, and retirement.
- Practical understanding of AI and personalization risks and controls, including privacy, security, bias and fairness, explainability, human oversight, data governance, and model or solution performance.
- Experience managing platform initiatives with APIs, integrations, services, data pipelines, cloud infrastructure, reliability requirements, or operational support models.
- Hands-on experience with Agile/Scrum delivery as well as hybrid and waterfall approaches, and with delivery tooling such as Jira, Confluence, Smartsheet, or MS Project.
- Proven track record of dependency, risk, issue, vendor, and stakeholder management on complex, multi-team programs.
- Strong executive communication and status-reporting skills, with the ability to make AI concepts, platform dependencies, uncertainty, and trade-offs clear to both technical and business audiences.
- Bachelor’s degree or equivalent practical experience.
Extra credit
- Experience with generative AI, large language models, retrieval-augmented generation, AI agents, prompt evaluation, content generation, or conversational AI platforms.
- Experience delivering recommendation systems, next-best-action, ranking, propensity, customer segmentation, profile, decisioning, or real-time personalization capabilities.
- Familiarity with MLOps, model monitoring, feature stores, data quality, experimentation platforms, model registries, evaluation frameworks, or feature and decisioning services.
- Familiarity with cloud-native platforms, APIs, event-driven architectures, streaming data, microservices, observability, platform reliability, and infrastructure-as-code.
- Experience establishing responsible-AI governance, model-risk processes, privacy reviews, security reviews, or enterprise AI standards.
- Experience managing platform modernization, technical-debt reduction, scalability improvements, performance optimization, or reliability programs.
- Additional certifications such as PMI-ACP, CSM/PSM, SAFe, or an AI/ML, product, cloud, or data certification.
- Experience managing build-versus-buy evaluations and vendor-delivered AI, personalization, data, or platform workstreams.
- Retail, convenience-retail, loyalty, consumer technology, or customer-experience platform experience.
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