AI-First Technical Program Manager

Lincoln Motor Company

Dearborn (MI)

Hybrid

USD 68,000 - 193,000

Full time

10 days ago

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Benefits offered by this job

Medical coverage

Dental/vision coverage

Parental leave and family benefits

Back-up child care program

Vehicle discount program for employees

Job summary

Ford Motor Company seeks an experienced Technical Program Manager to own delivery for one or more DCC products within Ford's Global Data, Insight & Analytics organization. You will translate vision into actionable plans, manage dependencies across engineering, IT and business partners, and drive measurable user outcomes.

You will work across a global team, champion adoption, and steer AI-enabled design tools and processes.

Qualifications

A bachelor's degree in engineering, computer science or a related technical field, or equivalent experience.
3+ years in technical program management, delivery management, or a similar role delivering software products or platforms.
Experience taking products toward production and real user adoption.
A proven ability to lead through influence: aligning engineers, stakeholders and leaders without formal authority.
Strong command of agile delivery (Scrum/Kanban and portfolio-level planning) and Jira.
Experience managing complex integrations and dependencies across multiple teams and legacy systems.
Hands-on use of AI tools in your own program management work.
Ability to learn new domains quickly and become credible with subject-matter experts.
Strong knowledge of change management principles.
Clear, candid communication with both engineers and senior leadership.
A bias for action: you create clarity and move forward without waiting for direction.

Responsibilities

Own the delivery roadmap. Partner with the Product Manager to translate vision and strategy into quarterly plans and milestones.
Drive measurable results. Plan pilots and releases with business partners: choose users, set baselines, and track adoption, time saved and quality.
Manage cross-functional dependencies. Coordinate with leadership, subject-matter experts, program teams, IT, security and data teams.
Lead integration and transition planning. Plan the move from legacy tools and processes to new ways of working, including risks, cutover and change management.
Connect the workstreams. Make sure products and components fit together as one system.
Run an effective delivery system. Facilitate planning, reviews and retrospectives. Keep work structured in Jira so visibility comes from the work itself.
Manage risk honestly. Surface risks, prototype-versus-production gaps, and schedule realities early and transparently.
Champion adoption. Partner with users and domain experts on onboarding, feedback loops and change management.
Work across a global team. Coordinate delivery with teammates in multiple locations, and keep work moving across time zones.
Go deep on technical problems. Dig into complex issues to understand root causes, evaluate trade-offs, and propose solutions.