Technical Program Manager​/Delivery Manager

We made history and now we work to transform the future – for our customers, our communities and our families. You'll see your work on the road every day, helping people move freely and pursue their dreams. At Ford, you can build more than vehicles. Come build what matters.

Do you believe data tells the real story? We do! Redefining mobility requires quality data, metrics and analytics, as well as insightful interpreters and analysts. That's where Global Data Insight & Analytics makes an impact. We advise leadership on business conditions, customer needs and the competitive landscape. With our support, key decision makers can act in meaningful, positive ways. Join us and use your data expertise and analytical skills to drive evidence-based, timely decision making.

In this position...

The Design, Cost & Complexity (DCC) team in Ford's Global Data, Insight & Analytics (GDI&A) organization builds data and AI products that help Ford design better vehicles at lower cost and with less complexity. Our products serve engineers, program teams, purchasing and business leaders across product development, from vehicle configuration and parts complexity to design cost, reductive design, and AI-enabled engineering tools.

We are a global team of product managers, engineers, data scientists and designers. We work closely with our business partners to take products to real adoption, and we increasingly build with AI at the core.

You will own delivery for one or more products in the DCC portfolio, depending on business priorities, and ensure they deliver measurable outcomes for real users. Your assignment may change as the portfolio evolves. Working closely with the Product Manager, you will turn vision and strategy into an executable plan, clear the path for the team, manage dependencies across engineering, IT and business partners, and make sure we prove value with users, not just in demos.

What you'll do...

• Own the delivery roadmap. Partner with the Product Manager to translate vision and strategy into quarterly plans and milestones. Keep scope, sequencing and trade-offs clear.
• 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. Resolve blockers before they reach the team.
• 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 work streams. Make sure products and components fit together as one system rather than separate projects.
• 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. Understand the product's architecture, integration points and future scalability needs well enough to spot risks early.
• Improve how we deliver. Design and champion delivery practices, frameworks and governance that make delivery more predictable and reduce overhead across teams, not just your own.
• Move between products as priorities shift. Ramp up quickly on new domains, teams and technologies.
• Model our culture. Think like a…