Who Is A Business Engineer? Business Engineering In A Nutshell

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As pointed out in Osterle, H. (1995), Business in the Information Age:

The business engineering concept enables the transformation of enterprises from the industrial age into the information age by means of procedure models, methods, and tools

Some of the key elements comprising business engineering require a deep understanding of several disciplines and areas:

• Business model

• Business processes

• Organizational structure

• Digitalization

• Information process and technologies

• The interaction between people and technologies within organizations

In one of its vacancies for Business Intelligence Engineer Amazon defines it as someone that can help “improve and define the best way of doing things throughout the company using the power of your analysis, technical skills, and business acumen.”

While this particular role is focused on improving internal processes to “identify opportunities to improve and optimize ship costs.”

As pointed out by Amazon “the successful candidate will be able to retrieve, integrate, visualize and present critical data in a format that is immediately useful to improve the business decision-making process.”

Business engineering is a discipline in between business administration and technology. As more and more organizations are innovated by combining technological product and processes with remixing old and new business model patterns, it becomes critical to understand and drive those processes.

A business engineer is a manager that can guide companies through hard decisions by looking at quantitative data, navigating ambiguity and reducing the noise where needed. Some of the disciplines part of business engineering are:

• Management science

• Business administration

• Law and economics

• Technology and engineering

A business engineer is a hybrid between a commercial and technical role. It can work as a liaison between commercial and technical teams to device complex solutions to its organizations or other companies for which the business engineer partners with.

Some of the job descriptions from Indeed and LinkedIn say:

Developing sales and service with regional and global accounts, supporting Account Managers and business development. Driving sales-related activities, implementing customer projects such as product and prototype selections, costing, pricing, quotations, preparation for serial production, and logistics setups.

For instance, among the task required:

• Interacting with customers and consulting with Account Managers providing technical and commercial support

• Applying financial analysis to evaluate business opportunities

• Coordinating and driving customer-related and internal projects and activities

• Supporting and training the organization in technical, commercial and market-oriented tasks

• Handling claims with internal partners and managing quality control

On a position for Business Intelligence Engineer Amazon points out:

• Design, develop and maintain scaled, automated, user-friendly systems, reports, dashboards, etc. that will support business needs

• Partner with operations/business teams to consult, develop and implement KPI’s, automated reporting/process solutions and data infrastructure improvements to meet business needs

• Apply deep analytic and business intelligence skill to extract meaningful insight and learning from large and complicated data sets

• Serve as liaison between the Business and technical teams to achieve the goal of providing actionable insights into current business performance, and ad hoc investigations into future improvements or innovations. This will require data gathering and manipulation, synthesis and modeling, problem-solving, and communication of insights and recommendations

For some of the open vacancies for Business Engineer, the required background is:

• Bachelor’s degree in Mechanical or Chemical Engineering or comparable technical field.

• Preferably up to 3 years’ experience in technical sales and knowledge of heat transfer and thermodynamics

• Advanced Microsoft Office with an understanding of calculation tools.

• Experience of CRM/ERP systems is an advantage

Skills:

• Enjoy working in an international environment

• Proactive, positive, and target-oriented team player with a keen interest in technical and commercial matters

• Very strongly customer-oriented

• Strong networker with good interpersonal skills and the ability to cooperate and communicate with many different layers and cultures

Those, of course, are just some of the skills required. Those will widely vary from organization to organization.

According to PayScale, the average yearly pay for a Business Engineer is $67,429. The total pay goes from $35,479 – $83,845 based on salary and bonus.

By running a search on Glassdoor for Business Engineer, the average salary can go from $64k per year for smaller organizations to senior Business Intelligence Engineer at eBay and Facebook, for $117k and $140k of yearly base salary respectively.

A new discipline?

I argue that the next step to the evolution of business innovation is that of Business Engineering, usually intended as a person using technology to build technical processes within the organization.

However, in the FourWeekMBA view, the Business Engineer is a hybrid between an entrepreneur, a customer-centered business designer, and a business analyst, able to prevent false patterns, thus growing the business with a mixture of intuition, business acumen, testing, and experimentation.

While for many, business engineering is something more technical connected to attaching technology to business processes.

To me, that is more conceptual, and it stands for an understanding of the business world that comes from various disciplines.

In fact, the business engineer borrows experimentation from business modeling:

Where scientists use labs to test their hypotheses through experimentation. Entrepreneurs build business model experiments to test their business ideas in the real world.

It borrows a customer-centered approach from design thinking:

Tim Brown, Executive Chair of IDEO, defined design thinking as “a human-centered approach to innovation that draws from the designer’s toolkit to integrate the needs of people, the possibilities of technology, and the requirements for business success.” Therefore, desirability, feasibility, and viability are balanced to solve critical problems.

At the same time, it brings it to the next level with customer obsession:

Customer obsession goes beyond quantitative and qualitative data about customers, and it moves around customers’ feedback to gather valuable insights. Those insights start with the entrepreneur’s wandering process, driven by hunch, gut, intuition, curiosity, and a builder mindset. The product discovery moves around a building, reworking, experimenting, and iterating loop.

And all of that, while understanding the distribution model:

A distribution channel is the set of steps it takes for a product to get in the hands of the key customer or consumer. Distribution channels can be direct or indirect. Distribution can also be physical or digital, depending on the kind of business and industry.

And financial model:

Financial modeling involves the analysis of accounting, finance, and business data to predict future financial performance. Financial modeling is often used in valuation, which consists of estimating the value in dollar terms of a company based on several parameters. Some of the most common financial models comprise discounted cash flows, the M&A model, and the CCA model.

But most of all, the business engineer understands the difference between linear and non-linear thinking and knows when to apply one or the other:

Lateral thinking is a business strategy that involves approaching a problem from a different direction. The strategy attempts to remove traditionally formulaic and routine approaches to problem-solving by advocating creative thinking, therefore finding unconventional ways to solve a known problem. This sort of non-linear approach to problem-solving, can at times, create a big impact.

Indeed, the business engineer knows that in a context of continuous, linear improvement, linear thinking might work:

That is a process that requires a continuous feedback loop to develop a valuable product and build a viable business model. Continuous innovation is a mindset where products and services are designed and delivered to tune them around the customers’ problems and not the technical solution of its founders.

But also how to drive breakthrough innovation:

The innovation loop is a methodology/framework derived from the Bell Labs, which produced innovation at scale throughout the 20th century. They learned how to leverage a hybrid innovation management model based on science, invention, engineering, and manufacturing at scale. By leveraging individual genius, creativity, and small/large groups.

In what I like to call technological modeling or barbelling:

Technological modeling is a discipline to provides the basis for companies to sustain innovation, thus developing incremental products. While also looking at breakthrough innovative products that can pave the way for long-term success. In a sort of Barbell Strategy, technological modeling suggests having a two-sided approach, on the one hand, to keep sustaining continuous innovation as a core part of the business model. On the other hand, it places bets on future developments that have the potential to break through and take a leap forward.

So that business innovation isn’t driven anymore in siloed departments, but the walls between product and marketing/distribution are wrecked, to create bottom-up growth.

As pointed out in Osterle, H. (1995), Business in the Information Age:

The business engineering concept enables the transformation of enterprises from the industrial age into the information age by means of procedure models, methods, and tools

Some of the key elements comprising business engineering require a deep understanding of several disciplines and areas:

• Business model

• Business processes

• Organizational structure

• Digitalization

• Information process and technologies

• The interaction between people and technologies within organizations

In one of its vacancies for Business Intelligence Engineer Amazon defines it as someone that can help “improve and define the best way of doing things throughout the company using the power of your analysis, technical skills, and business acumen.”

While this particular role is focused on improving internal processes to “identify opportunities to improve and optimize ship costs.”

As pointed out by Amazon “the successful candidate will be able to retrieve, integrate, visualize and present critical data in a format that is immediately useful to improve the business decision-making process.”

Business engineering is a discipline in between business administration and technology. As more and more organizations are innovated by combining technological product and processes with remixing old and new business model patterns, it becomes critical to understand and drive those processes.

A business engineer is a manager that can guide companies through hard decisions by looking at quantitative data, navigating ambiguity and reducing the noise where needed. Some of the disciplines part of business engineering are:

• Management science

• Business administration

• Law and economics

• Technology and engineering

A business engineer is a hybrid between a commercial and technical role. It can work as a liaison between commercial and technical teams to device complex solutions to its organizations or other companies for which the business engineer partners with.

Some of the job descriptions from Indeed and LinkedIn say:

Developing sales and service with regional and global accounts, supporting Account Managers and business development. Driving sales-related activities, implementing customer projects such as product and prototype selections, costing, pricing, quotations, preparation for serial production, and logistics setups.

For instance, among the task required:

• Interacting with customers and consulting with Account Managers providing technical and commercial support

• Applying financial analysis to evaluate business opportunities

• Coordinating and driving customer-related and internal projects and activities

• Supporting and training the organization in technical, commercial and market-oriented tasks

• Handling claims with internal partners and managing quality control

On a position for Business Intelligence Engineer Amazon points out:

• Design, develop and maintain scaled, automated, user-friendly systems, reports, dashboards, etc. that will support business needs

• Partner with operations/business teams to consult, develop and implement KPI’s, automated reporting/process solutions and data infrastructure improvements to meet business needs

• Apply deep analytic and business intelligence skill to extract meaningful insight and learning from large and complicated data sets

• Serve as liaison between the Business and technical teams to achieve the goal of providing actionable insights into current business performance, and ad hoc investigations into future improvements or innovations. This will require data gathering and manipulation, synthesis and modeling, problem-solving, and communication of insights and recommendations

For some of the open vacancies for Business Engineer, the required background is:

• Bachelor’s degree in Mechanical or Chemical Engineering or comparable technical field.

• Preferably up to 3 years’ experience in technical sales and knowledge of heat transfer and thermodynamics

• Advanced Microsoft Office with an understanding of calculation tools.

• Experience of CRM/ERP systems is an advantage

Skills:

• Enjoy working in an international environment

• Proactive, positive, and target-oriented team player with a keen interest in technical and commercial matters

• Very strongly customer-oriented

• Strong networker with good interpersonal skills and the ability to cooperate and communicate with many different layers and cultures

Those, of course, are just some of the skills required. Those will widely vary from organization to organization.

According to PayScale, the average yearly pay for a Business Engineer is $67,429. The total pay goes from $35,479 – $83,845 based on salary and bonus.

By running a search on Glassdoor for Business Engineer, the average salary can go from $64k per year for smaller organizations to senior Business Intelligence Engineer at eBay and Facebook, for $117k and $140k of yearly base salary respectively.

A new discipline?

I argue that the next step to the evolution of business innovation is that of Business Engineering, usually intended as a person using technology to build technical processes within the organization.

However, in the FourWeekMBA view, the Business Engineer is a hybrid between an entrepreneur, a customer-centered business designer, and a business analyst, able to prevent false patterns, thus growing the business with a mixture of intuition, business acumen, testing, and experimentation.

While for many, business engineering is something more technical connected to attaching technology to business processes.

To me, that is more conceptual, and it stands for an understanding of the business world that comes from various disciplines.

In fact, the business engineer borrows experimentation from business modeling:

Where scientists use labs to test their hypotheses through experimentation. Entrepreneurs build business model experiments to test their business ideas in the real world.

It borrows a customer-centered approach from design thinking:

Tim Brown, Executive Chair of IDEO, defined design thinking as “a human-centered approach to innovation that draws from the designer’s toolkit to integrate the needs of people, the possibilities of technology, and the requirements for business success.” Therefore, desirability, feasibility, and viability are balanced to solve critical problems.

At the same time, it brings it to the next level with customer obsession:

Customer obsession goes beyond quantitative and qualitative data about customers, and it moves around customers’ feedback to gather valuable insights. Those insights start with the entrepreneur’s wandering process, driven by hunch, gut, intuition, curiosity, and a builder mindset. The product discovery moves around a building, reworking, experimenting, and iterating loop.

And all of that, while understanding the distribution model:

A distribution channel is the set of steps it takes for a product to get in the hands of the key customer or consumer. Distribution channels can be direct or indirect. Distribution can also be physical or digital, depending on the kind of business and industry.

And financial model:

Financial modeling involves the analysis of accounting, finance, and business data to predict future financial performance. Financial modeling is often used in valuation, which consists of estimating the value in dollar terms of a company based on several parameters. Some of the most common financial models comprise discounted cash flows, the M&A model, and the CCA model.

But most of all, the business engineer understands the difference between linear and non-linear thinking and knows when to apply one or the other:

Lateral thinking is a business strategy that involves approaching a problem from a different direction. The strategy attempts to remove traditionally formulaic and routine approaches to problem-solving by advocating creative thinking, therefore finding unconventional ways to solve a known problem. This sort of non-linear approach to problem-solving, can at times, create a big impact.

Indeed, the business engineer knows that in a context of continuous, linear improvement, linear thinking might work:

That is a process that requires a continuous feedback loop to develop a valuable product and build a viable business model. Continuous innovation is a mindset where products and services are designed and delivered to tune them around the customers’ problems and not the technical solution of its founders.

But also how to drive breakthrough innovation:

The innovation loop is a methodology/framework derived from the Bell Labs, which produced innovation at scale throughout the 20th century. They learned how to leverage a hybrid innovation management model based on science, invention, engineering, and manufacturing at scale. By leveraging individual genius, creativity, and small/large groups.

In what I like to call technological modeling or barbelling:

Technological modeling is a discipline to provides the basis for companies to sustain innovation, thus developing incremental products. While also looking at breakthrough innovative products that can pave the way for long-term success. In a sort of Barbell Strategy, technological modeling suggests having a two-sided approach, on the one hand, to keep sustaining continuous innovation as a core part of the business model. On the other hand, it places bets on future developments that have the potential to break through and take a leap forward.

So that business innovation isn’t driven anymore in siloed departments, but the walls between product and marketing/distribution are wrecked, to create bottom-up growth.

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<100 subscribers