Data Team Stakeholders: Friend or Foe?

Most of us got into data engineering for the technical work, not for meetings. But we serve a business, which means we have internal stakeholders, and they end up as either the biggest source of friction in the job or the most useful allies you have. The deciding factor is almost entirely your approach, not theirs. The reframe that works is to treat every stakeholder as a customer of your data team, because that is effectively what they are. Do that and you solve problems faster, see real impact from your work, and build relationships that follow you to your next role.

The relationship goes one of two ways

An internal stakeholder is anyone inside the company who depends on what your data team produces. Sales, operations, finance, the executive team.

That relationship lands in one of two places.

• Friction. Passive aggression, internal politics, requests that arrive as complaints. In some organizations you will never fully escape this.
• Alliance. People who answer your questions, test your output and advocate for your team's work in rooms you are not in.

When you have people in the second category, you move faster, you get more fulfillment out of delivering, and you open up opportunity both at your current company and later.

Treat your stakeholders like customers

Every data team is a small business, and the stakeholders are its customers. You deliver a product: reports, data feeds, metrics, pipelines.

This may be business 101, but it changes how the whole thing feels. You are partners, not opposing departments.

The test to run when things get tense

Say a stakeholder is being difficult about a report you built. Ask yourself how you would react if they were a paying customer.

Would you ignore them? Would you be passive aggressive about the request? Or would you try to support them and give them the best product you can?

Internal politics and being difficult do not help anybody. Sometimes you cannot avoid it, but you should not be the one starting it.

Your stakeholders are more data savvy than you think

Business users today are far more capable than they were 10 or 15 years ago. Concepts that used to be a black box are now well understood outside the data team.

Plenty of them write SQL and query the warehouse directly, which is more common now than ever. Even the ones who do not bring things to the table that make you more efficient.

They know the source systems

The systems you ingest from are the tools they live in all day. They know those systems as well as you do, and usually better.

They know the real use cases and what a field is actually supposed to mean to the business. We mostly build what people ask for, but what matters is whether the result is useful.

They are the ones who can tell you whether it is. You would want that feedback from a customer, and this is the same thing.

Do not guess at that. Go ask the people using it.

They know the edge cases

An edge case is the record that does not follow the normal pattern: the backdated order, the manual adjustment, the account that exists for one odd reason.

We work in SQL, where things look black and white. Data that looks wrong to you is often correct and the business wants to see it.

You might assume something should be excluded when they need it visible. They are reacting to those rows and adjusting on their end.

Even when they have not seen it before, showing them the data gets you a business interpretation of why it should or should not be included.

Why the ally relationship is worth the effort

This pays off in ways that are not always obvious up front. Three of them stand out.

1. You solve problems faster

This is the most direct one. A stakeholder who knows the business concepts inside and out can point you at what to look for and what to ignore.

That beats being hard-headed and figuring it all out from the data alone. On a small team especially, that time is worth a lot.

A lot of this comes down to ego. We see the data, so we assume we know the answer. Sometimes they know something the data is not telling you.

Be respectful of their time, come with an open mind, and frame it around a shared goal.

2. The work gets more fulfilling

At one of my first companies we had a stakeholder on the business operations team who was unusually good at testing data results and reports.

He caught trends and slipping numbers quickly and kept us on the right path. It never felt like we were working against each other.

He eventually joined the data team, which was great, but it also meant losing the person on the business side who had been watching out for us.

He was our best stakeholder, and that is exactly why his team got our best work. When you see the real impact of what you build, it stops feeling like building for the sake of it.

The impact shows up in concrete places:

• New revenue. A rep closes a deal because the pipeline report finally reflected reality.
• Better decisions. An analysis makes it to the top of the company and changes something.
• Better customer experience. Especially at small companies, where you can watch it happen in real time.

You see none of that from inside a black box. Get out of the shell and go look at it.

3. It opens career doors

This one is about you more than the team. Never burn a bridge, because you do not know how a relationship plays out.

I have watched someone leave on the business side, land at a new company, and bring along the data person they trusted. Sometimes to start a new team from scratch.

Do good work, be trustworthy, and those relationships pay off in ways you cannot plan for.

The stereotype, and why it helps you

There is an uncomfortable reality here. Fair or not, a lot of business people expect technical staff to have big egos and be difficult to work with.

It is a real reputation in a lot of organizations, and sometimes it is accurate.

The upside is that the bar is low. If that is the expectation, then being proactive, open and collaborative makes you stand out almost immediately.

It reads as a breath of fresh air to people who were not expecting it, and it costs you nothing but a few conversations.

Nobody is perfect

There is always somebody more technical than you. That can be intimidating when you are new, or when you join an unfamiliar architecture.

This is one of the other ways to be valuable while you get up to speed.

Teamwork beats raw skill

You still want real skills and you should keep improving them. But you can be effective right now by working well with people and showing them you care.

You do not need every answer immediately. You need to find it, or find someone who can.

The collaborative approach is what makes you a better engineer, a better contributor and a better lead. It also makes the work itself more enjoyable.

Related reading

• The Stakeholder Dilemma for Data Teams
• What Every Data Team Lead Should Know
• The Gift and Curse of Small Data Teams
• What's the Value of Analytics?

Final takeaway

The small data teams I work with that run well all have at least one stakeholder who tests their output and tells them the truth about it. Attitude and approach are a genuine edge, and they cost nothing to adopt. Find the allies, build the trust, and the rest of the work gets easier.