Job ID: 1781040
OA Reference: SDL-MF1070
Overview
We are seeking a Senior Delivery Leader to drive execution across high-impact AI and Data Engineering initiatives. This is a strategic leadership role responsible for aligning cross-functional teams, managing complex technical programs, and ensuring successful delivery from concept through deployment.
Key Responsibilities
Lead delivery across AI, Data Engineering, and Product Engineering teams
Build and manage end-to-end delivery plans (data pipelines, ML workflows, integrations, deployments)
Provide clear visibility into timelines, risks, and dependencies
Partner with engineering and product leaders to translate business needs into execution plans
Drive Agile delivery, planning, and release coordination
Ensure smooth execution across data pipelines, APIs, and AI-driven applications
Proactively remove blockers and manage priorities across teams
Mentor team members and improve delivery processes and performance
Qualifications
12–15+ years of experience in technology delivery, program management, or engineering leadership
Recent experience leading AI initiatives (1–2+ years)
Strong background in data engineering and data-driven systems
Experience delivering data pipelines, ML models, APIs, or enterprise platforms
Deep understanding of Agile, DevOps, and CI/CD practices
Strong communication skills with ability to influence senior stakeholders
What We’re Looking For
Proven ability to lead complex, cross-functional technical initiatives
Strong understanding of AI/ML concepts and data architecture
Ability to manage multiple priorities in a fast-paced environment
Hands-on leadership style with a focus on execution and results
What Success Looks Like
On-time, high-quality delivery across AI and data initiatives
Clear visibility into progress, risks, and dependencies
Efficient execution from planning through deployment
Scalable delivery processes that support growing teams
Equal Opportunity Employer / Disabled / Protected Veterans
The Know Your Rights poster is available here:
https://www.eeoc.gov/sites/default/files/2023-06/22-088_EEOC_KnowYourRights6.12.pdf
The pay transparency policy is available here:
https://www.dol.gov/sites/dolgov/files/ofccp/pdf/pay-transp_%20English_formattedESQA508c.pdf
For temporary assignments lasting 13 weeks or longer, AppleOne is pleased to offer major medical, dental, vision, 401k and any statutory sick pay where required.
We are committed to working with and providing reasonable accommodations to individuals with disabilities. If you need a reasonable accommodation for any part of the employment process, please contact your staffing representative who will reach out to our HR team.
AppleOne participates in the E-Verify program in certain locations as required by law. Learn more about the E-Verify program.
https://e-verify.uscis.gov/web/media/resourcesContents/E-Verify_Participation_Poster_ES.pdf
We also consider for employment qualified applicants regardless of criminal histories, consistent with legal requirements, including, if applicable, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance. Pursuant to applicable state and municipal Fair Chance Laws and Ordinances, we will consider for employment-qualified applicants with arrest and conviction records, including, if applicable, the San Francisco Fair Chance Ordinance. For Los Angeles, CA applicants: Qualified applications with arrest or conviction records will be considered for employment in accordance with the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act.
AI project leadership, data engineering, machine learning, data pipelines, cloud-native architecture, API integration, ML workflows, Agile delivery, DevOps practices, CI/CD, technical program management, cross-functional team leadership, stakeholder