Enterprise transformation and delivery leadership

Strategy matters.
Execution decides.

I help complex enterprises cross the messy middle between ambition and adoption, connecting operating models, technology, people, data, and AI-enabled execution.

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Enterprise Transformation Leader

Strategic Program and Operating Model Leader

AI-Enabled Delivery and Knowledge Transformation

About Rick

Built inside the work, not outside the room.

My career began close to the business, where process friction, customer impact, and field adoption are impossible to ignore. That vantage point shaped how I later led technology and enterprise transformation.

At Citizens Bank, I moved from digitizing business processes into technology leadership as banking entered the modern digital era. I helped build early online banking capabilities, modernize retail systems and infrastructure, and lead transformation across large teams and portfolios.

Since then, I have deliberately broadened the toolkit across financial services, healthcare, Agile delivery, product and technology modernization, data-driven execution, and practical AI. The through-line is simple: make complex enterprises easier to steer and make change real where the work happens.

01

Early systems curiosity and military medical service built a lasting foundation: stay calm under pressure, understand the system, and serve the people depending on it.

Career journey

Three chapters. One continuous discipline.

Each phase added a new layer to the same work: translating strategy into an operating rhythm that people can trust and leaders can steer.

  1. 01

    Business to technology

    Learning how enterprise work actually moves

    From business-process digitization to senior technology leadership at Citizens Bank, I learned to work across operations, field teams, vendors, technologists, and executives. The work was bigger than delivering systems. It was helping a traditional bank become more technology-forward.

    “We were not following a roadmap. We were drawing it.”

    Online bankingRetail applicationsBranch modernizationInfrastructure
  2. 02

    Enterprise delivery modernization

    Expanding the transformation toolkit

    Across CVS Health, Hayden/Vast Bank, Centene, and Fidelity Institutional, I sharpened a broader discipline spanning Agile operating models, systems thinking, delivery flow, portfolio visibility, product execution, data, DevOps, and change leadership.

    Operating cadencePI planningDelivery intelligenceFlow and risk
  3. 03

    AI-enabled transformation

    Increasing knowledge density as organizations compress

    My current work explores AI as a practical layer in the enterprise operating model. The goal is not to bypass judgment. It is to preserve context, accelerate learning, remove low-value work, and make better decisions closer to the work.

    Knowledge retrievalAI-assisted deliveryHuman judgmentEnterprise trust

Transformation evidence

Scale is useful only when it changes the outcome.

Selected proof points from work spanning enterprise portfolios, workforce leadership, banking modernization, and complex delivery systems.

~$300MM

Portfolio leadership

Led a major Retail Banking technology portfolio at Citizens Bank, connecting investment decisions to transformation outcomes.

200+

People and partners

Led large, multidisciplinary teams through modernization and enterprise change.

Firsts

New capabilities

Contributed to early online banking, first Scrum and PI Planning practices, and first-in-market banking delivery.

Flow

Better daily work

Reduced meeting load, improved cycle time, strengthened story quality, and increased delivery visibility.

Citizens BankCVS HealthHayden / Vast BankCenteneFidelity Institutional

AI and knowledge density

“You can reduce experience density only if you deliberately increase knowledge density.”

Workforce compression creates a problem that headcount math cannot see: the quiet loss of context, pattern recognition, and institutional memory.

When enterprise search could not surface the knowledge teams needed, I built a practical retrieval workflow using the Confluence API and GitHub Copilot. It pulled available content into a temporary knowledge body that people could question directly.

The point was not the prototype itself. The point was the operating-model lesson behind it. AI is most valuable when it augments judgment, preserves trust, accelerates learning, and puts useful context back into the hands of people doing the work.

Augment judgment Preserve context Accelerate learning Keep accountability human

Leadership philosophy

Clarity, discipline, and respect for the work.

01

Make the enterprise easier to steer.

Visibility into flow, risk, throughput, and bottlenecks turns delivery activity into delivery intelligence.

02

Change the work, not just the language.

Operating models matter only when they improve decisions, handoffs, priorities, and daily execution.

03

Lead with intention.

Knowledge workers do their best work inside systems built on strategic clarity, autonomy, empathy, and accountability.

04

Prefer practical transformation over theater.

The job is not to install a framework. The job is to help strategy survive contact with the messy middle.

Contact

Complex change needs a clear way through.

I am interested in senior leadership opportunities where enterprise strategy, delivery systems, operating models, and AI-enabled execution need to move together.

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