Shifting to Product ManagementHeading

By Phil Zeringue, Chief Innovation Officer and VP of PMO & Utility

Every project and dollar spent on every project should add value. Seems straightforward, doesn’t it? Unfortunately, a significant portion of the functionality delivered by IT is underused – worse, some of it is unwanted and ultimately requires re-work. Queue product management! With product management you can:

  • Align IT as a strategic lever for business goals;
  • Deliver more value for less time and less spend;
  • Make the most effective use of your resources;
  • Provide a more coherent IT roadmap and strategy;
  • Reduce waste on project spend;
  • Align with the business on priorities;
  • Simplify the management of the project portfolio;
  • Easily align to Agile methodologies; and
  • Improve the focus and efficacy of Enterprise Architecture.

Product management makes sense… but what exactly is an IT product?
An IT product is a logical grouping of IT systems that serve a common business function. For example, a mobility strategy is very IT centric. However, a digitally enabled field/floor worker is a product that means something.

Have you ever had a business partner be dissatisfied with their technology but unable to provide requiremets on what they want? With an IT product it is possible to develop a “day in the life” vision for someone using the product. This vision better enables the business to understand what they need from technology and IT can break the needs into projects.

Traits of an IT Product
Logical GroupingA logical grouping of IT systems that support a business outcome. Examples:Digitally enabled field/floor workerSystem/equipment reliabilityCustomer-facing solutionsProductivity tools
Day in the Life NarrativeA day in the life narrative vision inspires how a role will improve with technology (investment in the product line).
Product ManagerThe product manager understands the business needs while knowing enough about what is possible with IT to drive conversations and the direction of the product.
Product RoadmapThe product roadmap is a prioritized list of the most important business functionality delivered and the corresponding IT projects list and cost that go with it.
Architect StakeholderThe architect stakeholder champions the technical specs in the project scope decisions that are consistent with the roadmap for the product.
Regular ReviewalAn IT product is reviewed on a regular cadence with stakeholders (business subject matter experts, product managers, IT architects, and leadership sponsors) to update the vision and delivery priorities.

Making the shift to product management can dramatically improve how your business and IT groups view and accomplish projects. For the best results, I recommend following these pivotal do’s and don’ts.

Do This!

  • Have business subject matter experts (SMEs) write the vision for the product with support from IT on the art of the possible.
  • Prioritize the products against themselves with senior leaders in the business.
  • Prioritize the functions within a product with business SMEs.
  • Only then prioritize the IT projects to align them to products and their prioritized functions.
  • Make sure 90%+ of IT systems fall within a product.
  • Leverage obsolescence/security required upgrades to further the product roadmap.

Don’t Do This!

  • Create products that are IT centric and do not relate intuitively to the business (mobility, data analytics, cloud, etc.). These should be done as part of the product roadmap.
  • Create a catch-all product with no coherent vision just to get systems into a product bucket.
  • Work on too many significant products at once. Rather, be very targeted on the areas of the business that will get significant improvements and change management, then allow to stabilize when moving on to the next product.
    • Example: Spend 2 years modernizing technology used by field or floor workers, in year 3 move on to business systems or customer/consumer facing systems, etc.
  • Spend any significant money on projects that don’t tie to a product roadmap.
  • Replace systems like for like because they are out of support.

Curious about how Product Management can improve your organization? Reach out to our experts today!

Recent Posts

Executive Perspective: Why Securing Your Data is the Key to Winning with AI

As CXOs, we’re all focused on leveraging AI to drive efficiency, innovation, and competitive advantage. The conversation often starts with infrastructure (GPUs, LLMs, and copilots), but let’s be clear: AI doesn’t run on GPUs. It runs on data. And if our data isn’t secure, nothing else matters. Unsecured and unclassified data undermines trust, exposes us to risk, and jeopardizes the very AI strategies we’re betting our futures on. It’s not about chasing the next shiny tool; it’s about building a foundation that allows AI to scale safely, responsibly, and securely.

Quantifying the Value of Data in Financial Services

In the financial services sector, data is a critical asset that drives profitability, risk management, regulatory compliance, and competitive edge. However, measuring its value remains challenging for many CFOs across sectors of the financial services industry regardless of organizational size or country of operations. CFOs rely on accurate data for forecasting, budgeting, and strategic planning. Quality data leads to better decision-making, optimized capital allocation, and swift responses to market changes. It is also vital for risk management, regulatory compliance (e.g., BCBS 239, Basel III, AML/KYC), and avoiding fines and reputational damage. “Fit for Business Use” data also supports customer retention, personalized services, and improved revenue stability. Data-savvy CFOs leverage insights for long-term growth.

AI Starts with Data: Go From Hype to Results

AI continues to dominate the conversation in business. From executive meetings to strategic roadmaps, AI is no longer just a trend but a real driver of transformation. The challenge is that while nearly every organization is talking about AI, very few are prepared to use it in a way that delivers measurable outcomes and lasting impact. The difference between hype and outcomes almost always comes down to two things: the quality of your data and your organization’s readiness to execute.

Exciting Updates from Informatica World: Paradigm Embraces the Future of Agentic AI

The digital landscape is evolving rapidly, and staying ahead means embracing the latest innovations in data management and artificial intelligence. At this year’s Informatica World, Paradigm is thrilled to share the groundbreaking advancements unveiled by Informatica, centered around their latest agentic AI solutions on the Intelligent Data Management Cloud (IDMC) platform.

Modernizing PowerCenter: The IDMC Way – Better, Faster, Cheaper

For many organizations, Informatica PowerCenter has been the workhorse of their data integration for years, even decades, reliably driving ETL processes and populating data warehouses that feed BI reports. However, this longevity often leads to a complex environment that can hinder agility and innovation.

Boost Growth with Data-Driven Hiring for Boutique Consultancies

Consistency is key to a boutique consultancy. Delivering quality services day in and day out, even as client demand fluctuates, relies heavily on having the right talent at the right time. Perhaps one of the largest operational challenges for small and mid-sized consulting firms, though, is matching recruitment cycles with cyclical demand. Without scalable, data-driven talent practices, consultancies can suffer from misaligned capacity, lost revenue streams, and stalled growth.

Strategies for a Successful Journey in Building the Dream Team

In the whirlwind world of project management, the success of a project often hinges on the strength and consistency of the team behind it. Imagine embarking on a journey where building a high-performing project team is not just about assembling a group of skilled individuals; it’s about fostering collaboration, trust, and a shared sense of purpose. Based on my personal experiences, let me take you through this journey with some strategies I use to help you build and lead a high-performing project team.

The Ultimate Guide to AI-Enhanced APIM Analytics for Enterprise Success

Enterprises increasingly rely on Application Programming Interface (API) Management (APIM) to streamline their operations, enhance customer experiences, and drive innovation. Azure API Management is a comprehensive solution enabling organizations to manage, secure, and optimize their APIs efficiently. However, beyond API management, APIM analytics – particularly when integrated with AI and data analytics – empowers senior executives with critical insights for real-time decision-making.

Why PMOs that Leverage Power BI are More Successful

Project Management Offices (PMOs) are increasingly turning to Microsoft Power BI as a game-changing tool to enhance their project management processes. By leveraging data visualization and analytics, PMOs can make informed decisions, streamline reporting, and improve overall project outcomes.