How should journalism move?
How should newsrooms create, distribute, and update content for streaming environments instead of retrofitting habits built for more linear models?
About
I came up through newsroom work, where every good idea eventually has to survive the shift, the rundown, the deadline, and the handoff.
It also has to survive the missing asset, the breaking story, and the people trying to make it all hold together.
That shaped how I lead: strategy matters most when it can function inside the work.
The work
I’m a media transformation leader focused on modular content, streaming workflow, AI-enabled editorial operations, and the operating models modern journalism needs now.
At Scripps News, I lead work that helps national and local teams create, adapt, distribute, and reuse journalism across modern platforms.
My focus is the operating layer behind the story: the workflows, formats, standards, tools, and team structures that determine whether strong editorial work can scale.
My career has moved through newsroom production, streaming, team leadership, operational design, and transformation work.
Across those roles, one pattern has become clear: news organizations do not only need better ideas.
They need better systems for turning those ideas into repeatable, useful, trusted work.
Point of view
Newsroom problems are rarely just content problems.
A weak segment may point to a planning issue. A missed update may point to a workflow issue. A burned-out team may point to an operating model issue.
A failed transformation may point to a communication issue disguised as a technology issue.
That is why I focus on the system underneath: how the work is planned, produced, packaged, distributed, governed, and improved.
The media environment changed faster than many newsroom operating models did.
My work is about closing that gap without losing the judgment, standards, and public-service purpose that make journalism matter.
Current focus
How should newsrooms create, distribute, and update content for streaming environments instead of retrofitting habits built for more linear models?
How can modular content make journalism more flexible, useful, valuable, and reusable across platforms without flattening editorial judgment?
How can AI support planning, scripting, production, distribution, and reuse without weakening accuracy, accountability, or human judgment?
How do leaders move teams through transformation without burying them in abstraction, unclear expectations, or tools that do not fit the work?
Beyond news
My work starts in journalism, but the larger pattern applies to any complex team trying to make good work move further.
That includes content strategy, workflow design, AI adoption, operational clarity, and transformation communication.
The common thread is helping people make complicated work more understandable, scalable, and useful without stripping out the judgment that makes the work valuable.
Leadership philosophy
It is about making the work clearer.
Clearer systems. Clearer expectations. Clearer handoffs. Clearer standards. Clearer reasons for why the work is changing in the first place.
The best transformation work does not make people feel impressed by the strategy. It makes them less confused by the work.
AI philosophy
The real question is not whether AI can generate, summarize, draft, route, or automate. It can.
The harder question is how organizations design systems that use AI responsibly while protecting accuracy, context, trust, and human accountability.
That is where my interest in AI lives: not as novelty, but as operating infrastructure that has to be governed, tested, and integrated into real work.
Personal note
Journalism needs both. AI needs both. Leadership needs both.
A system without imagination becomes rigid. Imagination without a system becomes chaos.
My best work lives where a complicated thing starts to become understandable, usable, and worth building.