She is co-founder of Stack Moxie and serves as a board member of the organization. She has extensive experience building cross-functional operations centers of excellence at major companies including Microsoft and IBM Watson Health. She specializes in marketing operations, compliance, test automation, and helping organizations manage complex go-to-market technology systems.
MH Lines co-founded Stack Moxie after building cross-functional operations centers of excellence at Microsoft and IBM Watson Health. Her core argument on this episode of Ops in Motion is one a lot of marketing ops professionals haven’t fully internalized: the marketing and sales tech stack is usually the most expensive piece of technology in the company, more than the engineering org’s entire cloud infrastructure combined, and most people running it don’t think about it that way.
She joined Kawal to talk through why compliance is turning into real financial exposure instead of background paperwork, why chasing every new tool is a losing habit without a framework behind it, and why marketing ops burnout is often a structural problem, not a personal one.
Who should read this: marketing operations and RevOps leaders managing compliance risk, evaluating new tools, or trying to prevent burnout on a lean team.
MH Lines was direct about how much compliance risk has escalated. GDPR fines increased significantly in recent years, and the first fines levied against major corporations years ago were already in the billions. Enforcement hasn’t stayed at that level. It’s moved down to smaller companies too. Layer AI tools on top of a system with access to personal data, and the exposure compounds: does that tool have access to PII, and if you’re in healthcare or financial services, is it touching data it shouldn’t be able to see at all.
Her reframe is the useful part. Compliance work is usually the one thing a CMO can’t say no to, which makes it a legitimate internal lever to get budget for testing, monitoring, and process improvements that make the whole system run better. Once that infrastructure is in place, campaigns launch faster and tools get swapped out more easily when a vendor stops delivering. The investment you were forced to make for compliance ends up paying for itself in operational speed.
“Privacy is an excellent internal lever for ops people to use to get these practices in place.”
— MH Lines
MH’s central point about the future of the role is about identity, not tools. Ops professionals who see themselves as “the person who gets email campaigns out” will keep being treated that way. The ones who recognize they’re actually operating the most expensive technology system in the company, one that should be generating revenue end to end, take on more responsibility and become more central to the business over time.
She also named a pattern worth sitting with directly: marketing ops people are often the tech killer at the strategy table, not the tech enabler. Invited into a strategy conversation, the reflex is to say no immediately instead of coming back with a real cost estimate and a path to make something work. Her advice is to stay open when you’re finally given the seat, and let the numbers do the pushback instead of a reflexive no.
Marketing operations sitting on the sidelines during strategy decisions is usually a symptom of exactly this dynamic. Teams that show they drive measurable business outcomes instead of just keeping campaigns running are the ones that get pulled into the room earlier.
“I think marketing ops people are very often the tech killer, not the tech enabler.”
— MH Lines
Kawal laid out a practical filter for shiny object syndrome: start with the actual business problem before looking at any tool, check whether it genuinely fits your existing tech stack instead of creating another disconnected system, and pilot before committing to a full rollout so you can see real adoption and ROI before signing anything.
MH added a layer most teams skip: test whether the tool actually works on a basic functional level before evaluating anything else. A chatbot that’s supposed to respond 90% of the time and doesn’t, or an integration that’s advertised through Zapier but only has one working API endpoint, isn’t ready for a business use case conversation yet. Once a tool clears that bar, the next question is total cost of ownership, not just the license price, but the implementation cost and the ongoing run cost of having someone manage it. A tool that looked cheap on the sales call can quietly become expensive once every missing feature turns into another add-on nobody budgeted for.
Kawal and MH both pushed back on the common setup where one or two people run an entire company’s marketing operations alone. MH’s framing is blunt: that’s a single point of failure sitting on top of the most expensive technology in the company and the backbone of its revenue. Treating that as sustainable is a real business risk, not just a people problem.
The fix isn’t necessarily more headcount. It’s structural: having an agency as backup so the team isn’t the only line of defense, giving leaders clear role definitions between marketing ops, sales, and other teams so nobody assumes they’re personally responsible for everything, and investing in training or community access so the team isn’t reinventing solutions from scratch every time a new tool or problem shows up. Using AI to handle genuinely repetitive tasks, routing logic, basic data cleanup, frees up the time a stretched team needs for the strategic work that actually prevents burnout in the first place.
“The cost of implementation to make it work in your specific system, and the run cost. What’s that at your organization when you’re weighing total cost of ownership against ROI?”
— MH Lines
Audit whether your compliance and consent tracking systems actually work as advertised. MH’s team has never found one without errors on first inspection.
Use compliance investment as leverage to fund broader system improvements, since it’s usually the one budget request leadership can’t easily say no to.
Before adopting a new tool, test whether it functions correctly on a basic level before evaluating strategic fit or integration.
Calculate total cost of ownership, license plus implementation plus ongoing management, before committing to any new platform.
If your marketing operations function is a team of one, build in an agency backup rather than treating that setup as sustainable long term.
Fines have increased significantly in recent years, and enforcement has expanded from major corporations down to smaller companies. AI tools added to systems with access to personal data raise the same exposure, especially in regulated industries like healthcare or finance.
Start with the business problem it needs to solve, confirm it works correctly on a basic technical level, check that it actually fits your existing tech stack, and calculate the total cost of ownership, not just the license price, before committing.
It creates a single point of failure on top of the company’s most expensive technology system and its revenue engine. If that person is unavailable or leaves, there’s no backup managing a system the entire business depends on.
If your marketing operations function is stretched thin or struggling to prove its business impact, see how we approach driving measurable results through marketing operations, or talk to our team about your setup.