PLEASE NOTE WE ARE LOOKING FOR PEOPLE WHO ARE BIG INTO THE AI SPACE MAINLY

Senior Delivery Leader (AI/Data & Product Engineering)
?? Denver

Employment Type: Direct Hire
Salary Range: $200,000 – $225,000

About the Role

We are seeking a Senior Delivery Leader to drive the successful execution of large-scale, high-impact engineering initiatives across AI/Data Engineering and Product Engineering. This is a strategic leadership role responsible for aligning teams, orchestrating delivery, and ensuring complex, data-driven solutions are executed with precision and efficiency.

You will play a critical role in shaping delivery strategy, establishing operational rigor, and ensuring engineering initiatives—from AI pipelines to enterprise platforms—move seamlessly from concept through deployment.

What You’ll Do
Lead end-to-end delivery across AI/Data Engineering and Product Engineering teams
Own execution of complex initiatives involving AI/ML, data platforms, and scalable applications
Develop integrated delivery plans covering data pipelines, model development, feature engineering, integrations, and deployment
Provide executive-level visibility into timelines, risks, dependencies, and progress
Drive execution across AI lifecycle components: data ingestion, transformation, model training, validation, and production deployment
Partner with Engineering, Architecture, and Product leaders to translate business goals into actionable technical plans
Establish and optimize delivery rhythms (planning, prioritization, estimation, releases)
Ensure smooth coordination across APIs, microservices, ML workflows, and enterprise systems
Proactively identify and remove blockers to maintain delivery momentum
Champion continuous improvement in delivery performance, quality, and team collaboration
Mentor and develop engineering and delivery leaders
Oversee capacity planning, resource allocation, and workload balancing
Communicate clearly with stakeholders on progress, risks, and key milestones
What Success Looks Like
Consistent, on-time, high-quality delivery across complex engineering initiatives
Efficient execution of AI and data programs from planning to production
Early identification and management of technical dependencies
Clear, transparent communication with stakeholders at all levels
Scalable delivery processes that support organizational growth
What You Bring
12–15 years of experience in technology delivery leadership, technical program management, or large-scale product execution
Experience operating at the VP or Senior Director level
Strong expertise in AI/ML workflows, data engineering, and cloud-native architectures
Proven track record delivering complex systems including data pipelines, integrations, ML-enabled applications, APIs, and analytics platforms
Deep knowledge of Agile, DevOps, MLOps, and CI/CD practices
Exceptional executive communication and stakeholder management skills
Demonstrated ability to lead cross-functional teams and manage complex dependencies
Strong analytical mindset with data-driven decision-making capabilities
Ability to thrive in fast-paced, evolving environments
What Sets You Apart
Strong technical fluency across data architecture, ML models, APIs, and platform design
Experience bridging AI/Data Engineering with Product Engineering teams
Solid understanding of ML concepts: feature engineering, training, evaluation, inference, and monitoring
Ability to simplify complexity and create clarity across large initiatives
High ownership mindset with a bias for action and continuous improvement

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.