What Is Digital Leadership? Skills and Examples for Executives

By Tara Minh · Updated Oct 10, 2026

Digital leadership is the practice of guiding a company's strategy, people, and decisions through technology-driven change. A digital leader doesn't need to code. They set a clear digital direction, build the skills and culture to pursue it, push decisions closer to the work, and hold the organization to measurable outcomes rather than tool rollouts.

Most executives already know technology matters. The harder question is what changes about leading when software, data, and AI reshape how work gets done. This guide covers what digital leadership means, the research behind it, how it differs from other leadership styles, and a step-by-step way to build it, with a template you can copy.

What Is Digital Leadership?

The term gets used loosely, so it helps to separate three ideas that often blur together.

Digital literacy is knowing what the technology can and can't do. Digital management is running the systems and projects. Digital leadership is the part above both: deciding where technology should change the business, convincing people to change with it, and redesigning how decisions and work flow.

Academics got there first under a different name. Researchers wrote about "e-leadership" around the turn of the century, when email, video conferencing, and virtual teams began to spread. A 2014 follow-up review in The Leadership Quarterly by Avolio, Sosik, Kahai, and Baker widened the idea to cover three things: how technology shapes leadership, how leadership affects whether technology gets adopted as intended, and how technology can help develop leaders. That second point is the one executives tend to miss. Technology doesn't succeed or fail on its own. Leadership decides which.

In practice, a digital leader does four jobs:

1. Sets the digital vision. Where will technology change customer experience, operations, or the business model?
2. Builds capability. Who needs which skills, and how fast?
3. Redistributes decisions. Which calls move closer to the people with the data?
4. Governs the risk. What are the rules for data, security, and AI use?

Key Facts

Key Facts

• George Westerman, a researcher of digital transformation, says leadership is the biggest differentiator between "digital masters" and companies that are just doing digital things, and that masters drive digital from the top down (DestinationCRM).
• In MIT Sloan Management Review and Deloitte's 2017 study of more than 3,500 managers and executives, over 70% at digitally maturing companies said their organizations are increasingly built around cross-functional teams, versus 28% at early-stage companies (MIT SMR).
• In the 2018 edition, 64% of respondents at maturing companies said they were effectively developing leaders, versus 14% at early-stage companies (Deloitte Insights).
• The same 2018 research found 59% of CEOs believed they were pushing decision-making down, but only about 33% of vice presidents and directors agreed (Deloitte Insights).
• BCG's 2020 study of 825 senior executives found only 30% of digital transformations met or exceeded their target value and produced sustainable change (BCG).
• These are survey findings from large companies. They show patterns, not guarantees for any one organization.

What the Research Says

The research on this topic is thinner than the volume of articles suggests, so it's worth knowing what is actually measured.

Leadership is the differentiator, not the tool

In Leading Digital, Westerman, Bonnet, and McAfee studied how established companies use technology to change their business. In an interview with DestinationCRM, Westerman said the biggest difference between digital masters and companies that are only doing digital things is leadership. Masters, he said, see digital technologies as a way to improve how they do business, and they drive it from the top down. Companies without that shared vision tend to run digital efforts he described as repetitive and wasteful, because each team evaluates a technology on its own instead of against one strategy.

That's a useful test. If your digital projects each have their own business case and nobody can say how they add up, you have digital activity, not digital leadership.

Structure and time horizon change as companies mature

The 2017 MIT Sloan Management Review and Deloitte report, Achieving Digital Maturity, drew on a global survey of more than 3,500 managers and executives plus 15 interviews. Three findings stand out for leaders:

• Over 70% of respondents at digitally maturing companies said their organizations are increasingly built around cross-functional teams. Only 28% at early-stage companies said the same.
• Nearly 30% of maturing companies plan five years or more ahead, versus 13% of the least mature.
• Maturing organizations were more than twice as likely as early-stage ones to pursue both small, iterative experiments and enterprise-wide initiatives.

None of those are technology choices. They're structure, planning, and risk decisions, and they belong to leadership.

Leaders, and the gap between the top and the middle

The follow-up 2018 research, Coming of Age Digitally, looked at learning and leadership. Sixty-four percent of respondents at maturing companies said they were effectively developing leaders, compared with 14% at early-stage companies. And it surfaced a perception gap worth sitting with: 59% of CEOs thought they were pushing decision-making down the organization, while only about a third of vice presidents and directors said it was happening.

That gap is the everyday failure of digital leadership. The top believes authority has moved. The middle still escalates everything.

Most transformations still miss

BCG's 2020 study of 825 senior executives found that only 30% of digital transformations met or exceeded their target value and delivered sustainable change. BCG named six factors that separate success from failure, and one of them is leadership commitment from the CEO through middle management. The others include an integrated strategy with clear goals, high-caliber talent, an agile governance mindset, effective monitoring of outcomes, and a business-led, modular technology and data platform. That's BCG's own finding from its sample, so treat the 30% as a rough anchor for this period, not a constant.

Core Skills of a Digital Leader

Skills matter more than titles here. These six come up again and again in the research above, and each one is something you can practice.

If you lead an AI program, the last row grows in importance. Our guide on AI governance for executives covers who should own those rules and how to keep them proportionate.

Digital Leadership vs Other Leadership Styles

Digital leadership isn't a replacement for the models you already know. It's a focus that borrows from several of them. This comparison shows where each fits.

The practical reading: use transformational leadership to make the case, adaptive leadership to handle the resistance, agile leadership to run the teams, and digital leadership to keep all of it pointed at the same technology-enabled strategy. A strong digital strategy also needs a believable vision, because people rarely follow a roadmap of software.

How to Build Digital Leadership: Step by Step

You can't install this in a quarter. But you can start with a sequence that keeps you honest.

Step 1: Write the digital vision in plain language

One paragraph, no jargon. Name the customer problem or operating cost you expect technology to change, and what "better" looks like in a year. If two executives write it separately and the results differ, you've found your first job.

Step 2: Audit where decisions actually get made

Pick five recurring decisions (a discount approval, a hiring request, a campaign launch, a vendor choice, a release go-live). For each, write down who decides, who must approve, and how many days it takes. The audit exposes the CEO-versus-director gap before it costs you a project. If you find that most calls still climb the chain, read how distributed leadership spreads authority without losing accountability.

Step 3: Set the structure around outcomes

Build cross-functional teams around a customer journey or process, not around a single department's tool. Give each team one outcome metric, a named owner, and the data access to see its own results.

Step 4: Fund small experiments with stop rules

Run short tests with a defined question, a time limit, and a decision date. Write the stop-or-scale rule before the test starts, so a failing pilot ends cleanly. Aim for a mix of small experiments and a few larger initiatives, which is the pattern the MIT SMR research associated with maturing companies.

Step 5: Invest in leaders, not just tools

Name the skills each leader needs, set a learning rhythm, and give people time to do it. Pair senior leaders with people who live in the technology daily. The point isn't to turn executives into engineers. It's to make sure they can ask good questions and spot a weak answer.

Step 6: Put governance in writing

Decide who owns data quality, security, and AI use. Keep the rules short enough to be read. Review them when you add a new class of tool, not only after something goes wrong.

Step 7: Measure the business result and report it

Track the outcome you named in Step 1, not the number of tools deployed. Review it monthly with the same group that set the vision, and adjust.

Digital Leadership Plan Template

Copy this table into a document and fill it in with your leadership team. Keep it to one page.

Digital Leadership Examples by Function

The same principles look different depending on the team. These are illustrative scenarios, not case studies.

The common thread: in each case a leader changed who decides, what gets measured, or how work flows, and the technology followed. If you want a design-minded take on rethinking the experience before automating it, see design-led leadership.

Do's and Don'ts

Common Mistakes

Treating digital as an IT project. If the CEO and business leaders aren't visibly driving it, teams read it as optional. The research above points the other way: leadership, not technology choice, tends to separate the stronger performers.

Moving fast without a shared vision. Westerman's description of repetitive and wasteful digital efforts fits companies where each unit runs its own program. Speed multiplies duplication.

Announcing empowerment and keeping control. This is the 59% versus 33% gap again. It rarely comes from bad intent. It comes from approval steps nobody removed.

Ignoring the people cost. New tools change roles and status. Without an honest conversation, resistance shows up as slow adoption, and the pilot "fails" for reasons that have nothing to do with the software.

Over-reading the numbers. The studies cited here are surveys of large companies, and several are from 2017 and 2018. They're useful for direction, not as benchmarks for your next quarter.

Learn More

• AI governance for executives
• Agile leadership
• Adaptive leadership
• Distributed leadership
• Entrepreneurial leadership
• Transformational leadership theory