Senior Project Manager - AI & Personalization Platform

Kelly Services; Irving (TX); On-site; USD 77,000 - 84,000; Full time

Job summary

Kelly Services is seeking a Senior Project Manager for an AI & Personalization Platform on a 12+ month fully onsite contract in Irving, TX. The role requires a PMP certification and 7+ years delivering technical and AI-related initiatives.

You will lead cross-functional teams across product, data, and engineering to implement platform capabilities with strong executive communication. The ideal candidate will manage APIs, data pipelines, and model services while driving governance, risk, and

Qualifications

• PMP certification is required.
• 7+ years of PM experience delivering technical/software/data initiatives.
• Hands-on leadership of cross-functional teams across product, engineering, data, architecture and operations.

Responsibilities

• Own end-to-end delivery of AI and Personalization Platform initiatives, including problem definition, scope, integrated plans, schedules, risks, dependencies, stakeholder communication, launch readiness, and post-launch measurement.
• Build and maintain an integrated platform roadmap with foundational capabilities, product increments, enablers, and enterprise dependencies.
• Translate platform strategy and prioritized opportunities into milestone-based delivery plans with clear owners and timelines.
• Establish and run an intake/prioritization process for AI/personalization requests balancing value, data readiness, feasibility, capacity, cost and risk.
• Coordinate delivery across product, AI/ML engineering, software engineering, data engineering, data science, architecture, platform ops, QA, privacy, security, legal, and vendor teams.
• Drive the AI/personalization delivery lifecycle from discovery through deployment, monitoring and improvement.
• Coordinate platform capabilities such as data pipelines, feature/profile services, model services, decisioning, APIs, integrations, observability and tooling.
• Partner with leaders to define acceptance criteria and evaluation plans covering relevance, accuracy, latency, scalability, safety and business outcomes.
• Establish launch-readiness practices for platform releases including validation, performance testing, integration testing and rollback planning.
• Coordinate monitoring and continuous-improvement plans for production AI/personalization capabilities, including model drift and data quality.
• Establish governance for AI/personalization delivery including privacy, responsible-AI controls, data lineage, documentation and auditability.
• Run Agile delivery cadences within a product/engineering operating model.
• Proactively manage RAID; remove blockers and elevate early with options and trade-offs.
• Coordinate build-versus-buy evaluations and vendor/SOW workstreams for AI platforms and related tooling.
• Track staffing, budget, platform consumption and vendor spend against plan.

Skills

PMP certification

7+ years PM experience

Cross-functional leadership

AI/ML delivery experience

Platform delivery

Agile delivery

Executive communication

Education

Bachelor’s degree or equivalent practical experience

Tools

Jira

Confluence

Smartsheet

MS Project

Job description

$55.99 - $60.99

Our client is seeking a Senior Project Manager - AI & Personalization Platform for a 12+ month fully onsite contract in Irving, TX! No C2C!

Required Skills & Experience

• 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.

Desired Skills & Experience

• 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.

What You Will Be Doing

• Own end-to-end delivery of AI and Personalization Platform initiatives, including problem definition, scope, integrated plans, schedules, risks, dependencies, stakeholder communication, launch readiness, and post-launch measurement.

• Build and maintain an integrated platform roadmap, sequencing foundational capabilities, product increments, technical enablers, and enterprise dependencies.

• Translate platform strategy, business needs, technical assessments, and prioritized opportunities into milestone-based delivery plans with clear owners, timelines, dependencies, and success criteria.

• Establish and run a clear intake and prioritization process for AI and personalization platform requests, balancing strategic value, customer impact, data readiness, technical feasibility, capacity, cost, and risk.

• Coordinate delivery across product, AI/ML engineering, software engineering, data engineering, data science, architecture, platform operations, QA, privacy, security, legal, and vendor teams.

• Drive the AI and personalization delivery lifecycle from discovery and data readiness through solution design, development, evaluation, testing, deployment, monitoring, and continuous improvement.

• Coordinate platform capabilities such as data pipelines, feature and profile services, model services, decisioning, recommendation and ranking, experimentation, APIs, integrations, observability, and operational tooling.

• Partner with product and technical leaders to define acceptance criteria and evaluation plans covering relevance, accuracy, quality, latency, scalability, reliability, safety, fairness, explainability, cost, adoption, and business outcomes as appropriate.

• Establish launch-readiness practices for platform releases, including technical validation, performance testing, integration testing, operational readiness, documentation, support ownership, and rollback planning.

• Coordinate monitoring and continuous-improvement plans for production AI and personalization capabilities, including model drift, data quality, performance degradation, service health, unexpected behavior, and changing business conditions.

• Establish practical governance for AI and personalization delivery, including privacy, security, responsible-AI controls, data lineage, model or solution documentation, human oversight, approval checkpoints, and auditability.

• Run Agile delivery cadences within a product and engineering operating model, including planning, backlog refinement, standups, reviews, retrospectives, roadmap reviews, and release checkpoints.

• Proactively manage risks, issues, assumptions, dependencies, and decisions (RAID); remove blockers and elevate early with recommended options and trade-offs.

• Coordinate build-versus-buy evaluations and vendor/SOW workstreams for AI platforms, personalization services, data products, experimentation tools, and supporting technologies.

• Track staffing, including FTE and contractor capacity, budget, platform consumption, vendor spend, and resourcing against plan.

Motion Recruitment Partners (MRP) is an Equal Opportunity Employer. All applicants must be currently authorized to work on a full-time basis in the country for which they are applying, and no sponsorship is currently available. Employment is subject to the successful completion of a pre-employment screening. Accommodation will be provided in all parts of the hiring process as required under MRP’s Employment Accommodation policy. Applicants need to make their needs known in advance.