Episode Overview Go to the full transcript of the episode In the final part of the series, Mario Gerard and Rhea Frondozo focus on what can go wrong when you are running large scale programs and what strong breadth TPMs do differently. They talk about common pitfalls like taking on too much work yourself, misusing subject matter experts, and letting scope creep sneak in through the back door. Rhea then walks through the most complex program she owned at OCI, the global government sector program, to show what large-scale really looks like in practice. That example ties together everything from earlier episodes: executive sponsorship, stakeholder management, communication strategy, requirements interpretation, and the need to avoid divergence across the stack. The focus of the conversation is on: The most common pitfalls breadth TPMs need to watch out for How to draw the line between helping and taking over someone else’s work When to rely on SMEs, and how to keep SME solutions aligned to business needs How scope creep often shows up through “extra” asks attached to your program A real example: OCI’s global government sector program and why it was so complex What divergence means, why it matters, and how it can multiply long term complexity How Rhea structured communication and alignment for a companywide, multi-year program The episode closes with a clear message: large scale TPM skills are learned through experience, trial, error, and repetition, not through textbook theory. Common Pitfalls Breadth TPMs Should Watch For Mario asks about the most common pitfalls. Rhea starts with one she has seen personally and also in the TPMs she has managed: functional owners leaning too heavily on the TPM to do their work. 1. Taking Ownership of Everyone Else’s Work Rhea explains that a breadth TPM is responsible for driving accountability across many functional areas. But when the TPM is a strong lead, stakeholders may try to offload problem solving onto the TPM. If you accept that pattern, you end up doing work for everyone, and because you are managing so many areas, you eventually fail. Mario agrees and describes a simple rule: do not step in and fix someone else’s problem, because once you do, it becomes your problem and they can walk away. Instead, you want POCs and functional owners to own their space, drive the work, and report milestones and progress back to you. They both emphasize that there is still nuance. Sometimes you step in briefly to get a workstream back on track, especially if the lead is weak, but you do it to stabilize and then transition ownership back. The key is that you are monitoring and guiding, not absorbing the work. 2. Poor Time Management and Not Rechecking Where You Spend It Mario shares a habit he learned at OCI: constantly reevaluate where your time is going, daily or weekly. He frames it as a discipline that keeps you from spending too much time in the wrong places, or getting sucked into details that are not actually your responsibility or do not help the long term success of the program. Rhea ties this directly to judgment. Breadth TPMs have to decide where they invest their energy: stepping in, monitoring, coaching, or escalating. Your time allocation becomes a strategic decision, not just a scheduling issue. 3. Misusing SMEs and Going Too Deep Yourself Rhea calls out another common pitfall: not knowing when to rely on a subject matter expert versus trying to do it yourself. A TPM needs to understand the problem enough to ask good questions and to evaluate whether the solution matches the business need, but it is not the TPM’s job to be the SME. Mario adds a real world tension: SMEs sometimes over engineer or overcomplicate solutions. They are deeply invested in their domain, and that depth can lead to building something far bigger than what the program needs. 4. Scope Creep Through “Riding Your Program’s Priority” Rhea connects SME behavior to scope creep. Sometimes your program surfaces a problem that affects your delivery, and you bring in an SME team to solve it. But that same team may have long standing pain points and see your program as a way to finally get buy in for a much larger fix. In other words, you ask for X, and they try to bundle X plus everything else they have wanted to do for years. Mario frames it bluntly: you need them to solve X, but they want to solve X times one hundred. Both agree that this is a real pattern in large orgs, and it is one of the fastest ways scope creeps beyond what the program was sized for. A Real Example: OCI Global Government Sector Program To make the discussion concrete, Rhea walks through the biggest and most complex program she owned at OCI: the global government sector program. She describes it as a suite of cloud regions, services, features, and processes needed to meet government customer expectations. Mario clarifies that this was not a single product. It was a set of products and operational capabilities that allowed governments to run workloads on OCI, including environments with different classification levels. Why Government Programs Are Different Rhea explains that government workloads come with multiple security classifications, ranging from unclassified all the way up to secret and top secret. Supporting those environments requires more than software changes. It can involve physical infrastructure, how regions are operated, who is allowed to access systems, and the clearance levels required for personnel. Mario adds that in these environments, everything can change: operations processes, staffing models, tooling, and the services themselves. The program becomes end to end reengineering across the stack to meet security and compliance needs. Divergence and Why It Matters at Scale A key theme in this episode is avoiding divergence. Rhea defines divergence as running different code bases, processes, or operational models across regions. When regions diverge, the work multiplies because now you are maintaining and updating multiple versions of the same system. She explains the cost clearly: you create more code paths, more processes, and more hiring needs. The complexity can double, triple, or worse. Mario expands this point beyond government work. In any large scale program, introducing too many special cases creates long term operational burden for every team involved. They tie divergence directly to scalability. If the architecture and operating model are not scalable, you end up with armies of people doing slightly different things for each region or environment. The goal is to design solutions that can be applied broadly without needing a separate playbook for every variation. Stakeholders, Sponsorship, and Business Opportunity Rhea describes the stakeholder landscape for the global government sector program. The external customers were governments, domestic and foreign. Internally, the sales organization played a major role because they were the interface for government customers and handled RFPs and responses. The program required close partnership to interpret requirements, identify product gaps, and align delivery to bid timelines. On the sponsorship side, Rhea says this program went all the way up to Oracle’s CEO, Safra Catz. It was a companywide initiative because it affected how services were built, operated, and delivered across the stack. The business upside was massive: enabling large government deals and multi billion dollar opportunities by making OCI capable of supporting the full set of products governments might need. How Rhea Ran Communication and Alignment for a Program This Big Rhea explains that executing the program required heavy planning and structured communication. At Oracle, the starting point was detailed written documents rather than slides. She describes beginning with a strong product definition and written narratives to get leadership buy in. Once leadership buy in was secured, the team created a roadshow to align the next level of leaders across the org, so that those leaders could assign POCs and commit resources. They also ran broader tech talks for the engineering organization to make sure teams understood what was coming and why it mattered, so future asks would not feel random. From there, the program used many of the standard tools they discussed earlier in the series: weekly stakeholder meetings, executive reports, newsletters, wiki pages, Confluence pages, schedules, agendas, and tracking systems. The point was not the specific tool but the combination of visibility, alignment, and a consistent system for keeping large groups of people informed. Why the Program Became Even More Complex Over Time Rhea explains that the program expanded significantly after it began. It started as building a net new region, but grew into owning an entire suite of government cloud regions. Different regions were in different phases at the same time. Some were in planning, some were actively being built, and some were already live and in support mode where customer usage revealed missing features and new needs. On top of that, newer regions replaced older versions of government regions. That introduced another lifecycle stream: closing out legacy regions while building and supporting newer ones. Rhea describes the overall complexity as coming from three sources at once: the number of stakeholders, the size of the business opportunity, and the challenge of managing multiple products and multiple regions across multiple phases of a program lifecycle. Full Transcript of the Episode Mario Gerard: Hello, and welcome to the TPM podcast with your host, Mario Gerard. This is part three, the final part of how to run a large-scale program. Our conversation with Rhea, if you have in third part one and two, definitely check that out before you go ahead and listen to this part. I hope you enjoy it. Continue listening. Talking about that trend. What are the most