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Why an Enterprise Architect Can Be an Essential Member of the Boardroom

Jordy Dekker
ValueBlue

Understanding the role of an enterprise architect [EA] can be complex, as it spans business functions, capabilities, processes, roles, physical and organizational structure, data stores and flows, applications, platforms, hardware, and communication. Simply put, an EA is involved with the entire business — not just the IT department.

A derivative of the business vision, an EA develops business and technologies strategies to align IT with the overall business goals and applies the business strategy to an actionable plan to deliver the determined outcomes. In order for an EA to achieve success, the concepts must be understood by everyone versus only the IT department.

How to Claim a Seat at the Boardroom Table

To fully appreciate the value of an EA, it needs to be accepted and clearly understood. An enterprise architect must have passion and determination to earn a seat in boardroom discussion and decision-making. While pitching for an EA representation will require preparation and patience, it will lead to powerful payoffs for all stakeholders.

Here are four ways to ensure an enterprise architect joins the boardroom as an invaluable asset.

1. Tailor each conversation to each stakeholder

Simplify what enterprise architecture is without the jargon. When all participants in a conversation speak a common language, the dialogue is comprehensible, not confusing. Since each stakeholder has the expertise that benefits the boardroom, tailor each conversation to catch their attention.

A marketing expert will understand the advantage of quick time to market, while the head of IT will react to a conversation focused on updates to the IT component lifecycle, and the executive management will be paying attention to lowering cost, increasing agility and decreasing risk. Begin by building relationships by meeting with the executives in meetings and informal settings to spread the value proposition of an EA.

2. Create collaboration across the entire organization

An EA's consultative capabilities can be beneficial to all supporting teams with a strong understanding of the entire organization's landscape, processes and vision. Invite all stakeholders to engage in a collaborative, integrated method by helping teams solve challenges.

For instance, identify which applications to invest or divest in a portfolio to support the CIO, share updated application overviews that handle crucial customer and employee data with the security teams, and share the data and insights required to understand and solve the issue at hand in a function or department. Once allies are present, a buy-in for EA initiatives will begin.

3. Know the data

Data is highly valuable to an enterprise, some even say that data is enterprise currency. All boardroom decisions are data-driven. An EA must identify how the data for specific business requirements are adapted into technical specifications for the board and produce reports on the status of the current application landscape and IT inventory to address critical boardroom assessments and decision-making. This is an opportunity to tie the EA to data reports and business processes during meetings. Use data to emphasize real issues with use cases and diagrams and present options along with results.

By overlaying the EA on top of the business model, boardroom members can clearly see the cost, revenue, risk, and performance metrics to align their decisions with initiatives. Make the enterprise architect the data guru of the boardroom.

4. Executive sponsorship opportunity

Foster executive sponsorship to promote engagement of EA initiatives and impact the strength of an EA strategy including budgets, vendor options, and acquisitions. By understanding the business side and dynamics, the enterprise architect will be able to identify who is open to change and who is not; who has the most influence, and where the fractions are. Prepare from the start to engage executives in purposeful conservations to build unity and to be seen as an ally and supportive consultant.

From business to technology to operations, an EA can prove value in output, timeliness, revenue growth, cost reduction, agility, and scalability for all stakeholders. To achieve this, networking and preparation are necessary for an EA to secure a permanent seat in the boardroom.

Enterprise Architects' Advancing Role

The enterprise architect uses AI, data, and analytics to plan, manage and track business investments while involving every policy, process, and department in an organization to create a collaborative and holistic framework. The role of an EA is integrative with technical expertise, market sector knowledge, and skills with consultative capabilities. The invaluable role of an EA uses data to determine if applications need to be re-hosted, retired, or revised based on current objects and evaluate the wellness of platforms in real-time, using data to determine if initiatives are on track.

Today's enterprise architect is no longer operating in a silo, they need to be seen as a valuable team player who contributes and collaborates across the entire enterprise. Holistic input and varied expertise will benefit the boardroom and enterprise architects effectively represent operations to this council of decision-making, in such a way earning a rightful place at the table. Using a common language will gain the buy-in of the value of the enterprise architecture and will increase the expertise of the board members with the high value of data delivered in a clear manner of its initiatives.

Jordy Dekker is Chief Evangelist at ValueBlue

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Like most digital transformation shifts, organizations often prioritize productivity and leave security and observability to keep pace. This usually translates to both the mass implementation of new technology and fragmented monitoring and observability (M&O) tooling. In the era of AI and varied cloud architecture, a disparate observability function can be dangerous. IT teams will lack a complete picture of their IT environment, making it harder to diagnose issues while slowing down mean time to resolve (MTTR). In fact, according to recent data from the SolarWinds State of Monitoring & Observability Report, 77% of IT personnel said the lack of visibility across their on-prem and cloud architecture was an issue ...

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In the modern enterprise, the conversation around AI has moved past skepticism toward a stage of active adoption. According to our 2026 State of IT Trends Report: The Human Side of Autonomous AI, nearly 90% of IT professionals view AI as a net positive, and this optimism is well-founded. We are seeing agentic AI move beyond simple automation to actively streamlining complex data insights and eliminating the manual toil that has long hindered innovation. However, as we integrate these autonomous agents into our ecosystems, the fundamental DNA of the IT role is evolving ...

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Why an Enterprise Architect Can Be an Essential Member of the Boardroom

Jordy Dekker
ValueBlue

Understanding the role of an enterprise architect [EA] can be complex, as it spans business functions, capabilities, processes, roles, physical and organizational structure, data stores and flows, applications, platforms, hardware, and communication. Simply put, an EA is involved with the entire business — not just the IT department.

A derivative of the business vision, an EA develops business and technologies strategies to align IT with the overall business goals and applies the business strategy to an actionable plan to deliver the determined outcomes. In order for an EA to achieve success, the concepts must be understood by everyone versus only the IT department.

How to Claim a Seat at the Boardroom Table

To fully appreciate the value of an EA, it needs to be accepted and clearly understood. An enterprise architect must have passion and determination to earn a seat in boardroom discussion and decision-making. While pitching for an EA representation will require preparation and patience, it will lead to powerful payoffs for all stakeholders.

Here are four ways to ensure an enterprise architect joins the boardroom as an invaluable asset.

1. Tailor each conversation to each stakeholder

Simplify what enterprise architecture is without the jargon. When all participants in a conversation speak a common language, the dialogue is comprehensible, not confusing. Since each stakeholder has the expertise that benefits the boardroom, tailor each conversation to catch their attention.

A marketing expert will understand the advantage of quick time to market, while the head of IT will react to a conversation focused on updates to the IT component lifecycle, and the executive management will be paying attention to lowering cost, increasing agility and decreasing risk. Begin by building relationships by meeting with the executives in meetings and informal settings to spread the value proposition of an EA.

2. Create collaboration across the entire organization

An EA's consultative capabilities can be beneficial to all supporting teams with a strong understanding of the entire organization's landscape, processes and vision. Invite all stakeholders to engage in a collaborative, integrated method by helping teams solve challenges.

For instance, identify which applications to invest or divest in a portfolio to support the CIO, share updated application overviews that handle crucial customer and employee data with the security teams, and share the data and insights required to understand and solve the issue at hand in a function or department. Once allies are present, a buy-in for EA initiatives will begin.

3. Know the data

Data is highly valuable to an enterprise, some even say that data is enterprise currency. All boardroom decisions are data-driven. An EA must identify how the data for specific business requirements are adapted into technical specifications for the board and produce reports on the status of the current application landscape and IT inventory to address critical boardroom assessments and decision-making. This is an opportunity to tie the EA to data reports and business processes during meetings. Use data to emphasize real issues with use cases and diagrams and present options along with results.

By overlaying the EA on top of the business model, boardroom members can clearly see the cost, revenue, risk, and performance metrics to align their decisions with initiatives. Make the enterprise architect the data guru of the boardroom.

4. Executive sponsorship opportunity

Foster executive sponsorship to promote engagement of EA initiatives and impact the strength of an EA strategy including budgets, vendor options, and acquisitions. By understanding the business side and dynamics, the enterprise architect will be able to identify who is open to change and who is not; who has the most influence, and where the fractions are. Prepare from the start to engage executives in purposeful conservations to build unity and to be seen as an ally and supportive consultant.

From business to technology to operations, an EA can prove value in output, timeliness, revenue growth, cost reduction, agility, and scalability for all stakeholders. To achieve this, networking and preparation are necessary for an EA to secure a permanent seat in the boardroom.

Enterprise Architects' Advancing Role

The enterprise architect uses AI, data, and analytics to plan, manage and track business investments while involving every policy, process, and department in an organization to create a collaborative and holistic framework. The role of an EA is integrative with technical expertise, market sector knowledge, and skills with consultative capabilities. The invaluable role of an EA uses data to determine if applications need to be re-hosted, retired, or revised based on current objects and evaluate the wellness of platforms in real-time, using data to determine if initiatives are on track.

Today's enterprise architect is no longer operating in a silo, they need to be seen as a valuable team player who contributes and collaborates across the entire enterprise. Holistic input and varied expertise will benefit the boardroom and enterprise architects effectively represent operations to this council of decision-making, in such a way earning a rightful place at the table. Using a common language will gain the buy-in of the value of the enterprise architecture and will increase the expertise of the board members with the high value of data delivered in a clear manner of its initiatives.

Jordy Dekker is Chief Evangelist at ValueBlue

Hot Topics

The Latest

In live financial environments, capital markets software cannot pause for rebuilds. New capabilities are introduced as stacked technology layers to meet evolving demands while systems remain active, data keeps moving, and controls stay intact. AI is no exception, and its opportunities are significant: accelerated decision cycles, compressed manual workflows, and more effective operations across complex environments. The constraint isn't the models themselves, but the architectural environments they enter ...

Like most digital transformation shifts, organizations often prioritize productivity and leave security and observability to keep pace. This usually translates to both the mass implementation of new technology and fragmented monitoring and observability (M&O) tooling. In the era of AI and varied cloud architecture, a disparate observability function can be dangerous. IT teams will lack a complete picture of their IT environment, making it harder to diagnose issues while slowing down mean time to resolve (MTTR). In fact, according to recent data from the SolarWinds State of Monitoring & Observability Report, 77% of IT personnel said the lack of visibility across their on-prem and cloud architecture was an issue ...

In MEAN TIME TO INSIGHT Episode 23, Shamus McGillicuddy, VP of Research, Network Infrastructure and Operations, at EMA discusses the NetOps labor shortage ... 

Technology management is evolving, and in turn, so is the scope of FinOps. The FinOps Foundation recently updated their mission statement from "advancing the people who manage the value of cloud" to "advancing the people who manage the value of technology." This seemingly small change solidifies a larger evolution: FinOps practitioners have organically expanded to be focused on more than just cloud cost optimization. Today, FinOps teams are largely — and quickly — expanding their job descriptions, evolving into a critical function for managing the full value of technology ...

Enterprises are under pressure to scale AI quickly. Yet despite considerable investment, adoption continues to stall. One of the most overlooked reasons is vendor sprawl ... In reality, no organization deliberately sets out to create sprawling vendor ecosystems. More often, complexity accumulates over time through well-intentioned initiatives, such as enterprise-wide digital transformation efforts, point solutions, or decentralized sourcing strategies ...

Nearly every conversation about AI eventually circles back to compute. GPUs dominate the headlines while cloud platforms compete for workloads and model benchmarks drive investment decisions. But underneath that noise, a quieter infrastructure challenge is taking shape. The real bottleneck in enterprise AI is not processing power, it is the ability to store, manage and retrieve the relentless volumes of data that AI systems generate, consume and multiply ...

The 2026 Observability Survey from Grafana Labs paints a vivid picture of an industry maturing fast, where AI is welcomed with careful conditions, SaaS economics are reshaping spending decisions, complexity remains a defining challenge, and open standards continue to underpin it all ...

The observability industry has an evolving relationship with AI. We're not skeptics, but it's clear that trust in AI must be earned ... In Grafana Labs' annual Observability Survey, 92% said they see real value in AI surfacing anomalies before they cause downtime. Another 91% endorsed AI for forecasting and root cause analysis. So while the demand is there, customers need it to be trustworthy, as the survey also found that the practitioners most enthusiastic about AI are also the most insistent on explainability ...

In the modern enterprise, the conversation around AI has moved past skepticism toward a stage of active adoption. According to our 2026 State of IT Trends Report: The Human Side of Autonomous AI, nearly 90% of IT professionals view AI as a net positive, and this optimism is well-founded. We are seeing agentic AI move beyond simple automation to actively streamlining complex data insights and eliminating the manual toil that has long hindered innovation. However, as we integrate these autonomous agents into our ecosystems, the fundamental DNA of the IT role is evolving ...

AI workloads require an enormous amount of computing power ... What's also becoming abundantly clear is just how quickly AI's computing needs are leading to enterprise systems failure. According to Cockroach Labs' State of AI Infrastructure 2026 report, enterprise systems are much closer to failure than their organizations realize. The report ... suggests AI scale could cause widespread failures in as little as one year — making it a clear risk for business performance and reliability.