A featured contribution from Leadership Perspectives, a curated forum for energy technology leaders nominated by our subscribers and vetted by the Energy Tech Review Editorial Board.

Apache Corporation

Driving Business Value Through Technology

Lisa Cruz

Lisa Cruz

Technology Value Shaper

Lisa Cruz, Director of IT Applications at Apache Corporation, leads technology initiatives that strengthen business performance and operational efficiency. With extensive experience in enterprise applications and digital transformation, she focuses on aligning technology, data, and innovation to support strategic objectives and drive organizational growth.

Lessons from Digital Transformation

Leading enterprise applications have reinforced a simple principle: transformation only matters if it changes how the business operates. Applications sit at the intersection of process, data, and decision-making, so they provide a clear view into where friction exists and where value can be unlocked.

In the energy industry, that means focusing on enabling better portfolio decisions, improving cost transparency and supporting operational performance. My approach has been to align every technology investment to a defined business outcome and ensure we are disciplined in how we evolve the application landscape. Transformation is not about adding more tools. It is about making the existing ecosystem more effective, more connected, and easier for the business to use.

Modernizing Enterprise Applications Successfully

The biggest challenge is balancing modernization with continuity. Energy companies cannot afford disruption to core operations, so transformation must be both incremental and intentional.

At the same time, organizations are managing increasing complexity across legacy systems, integrations and security requirements. Without strong governance and architectural discipline, modernization efforts can introduce more fragmentation rather than less.

Security and data integrity are also critical. As systems become more connected, the risk surface expands. Modernization must go hand in hand with stronger data governance, clear ownership and consistent standards across the enterprise.

AI and the Connected Workforce

These capabilities are continuing to evolve how work gets done across industries.

Connected workforce technologies can improve visibility and consistency in the field, while trusted data helps ensure decisions are based on a reliable and consistent foundation. AI-enabled systems can then enhance decision-making by identifying patterns and surfacing insights at scale.

AI can amplify whatever data it is given. If the data is inconsistent, it can reinforce those inconsistencies. If the data is trusted, it may become a powerful enabler of faster, more informed decisions.

In the near term, the most practical applications are in decision support. This allows organizations to build trust in their outcomes, validate results and strengthen their data practices before moving toward broader automation.

Innovation with Business Discipline

Balance comes from clarity and alignment. 

Innovation is important, but it has to be grounded in business value. Governance provides the structure to ensure we are investing in the right areas and managing risk appropriately. Solutions must remain practical and usable for the business.

One of the most effective approaches is involving business stakeholders early through cross-functional governance structures. When teams are aligned from the beginning, decisions are better, adoption is stronger, and outcomes are more sustainable.

Ultimately, governance should enable progress, not slow it down. When done well, it creates focus rather than friction.

Advice for Emerging Professionals

Focus on understanding the business, not just technology. The most impactful leaders in enterprise applications are those who can connect technology decisions to business outcomes. That requires curiosity, strong communication and a willingness to engage beyond IT.

It is also important to build a foundation in data. As organizations continue to invest in AI and advanced analytics, those who understand data structures, quality and governance will be in a strong position to lead.

Finally, stay disciplined in how you learn. The technology landscape evolves quickly, so developing a consistent approach to staying informed is critical. Small, continuous learning habits over time make a significant difference. 

The articles from these contributors are based on their personal expertise and viewpoints, and do not necessarily reflect the opinions of their employers or affiliated organizations.