Sr. Director, Enterprise Data Platform, Integration & Architecture

We are designing the grid of the future!

TheSr. Director Enterprise Data Platform Integration & Architecture will lead the strategy buildout and operation of EPEs enterprise data ecosystem and related integration/platform services. This role will establish the modern data foundation needed to support trusted analytics enterprise automation approved AI use cases and AI/ agentic systems.

Reporting to the CIO this leader will translate enterprise priorities into a multi-year data integration governance and AI-ready platform enablement roadmap. The role will partner across business and technology teams to ensure data is treated as a reliable internal product secure governed scalable observable well-documented and accessible through reusable patterns aligned to measurable business outcomes.

This leader will build lead and coordinate a scalable global team and partner ecosystem across data engineering data governance integration and platform services. This role will collaborate with business engineering software and AI delivery teams to enable AI transformation by providing the governed data system and software-tool capabilities required for agentic workflows while ensuring those capabilities are secure reusable observable and sustainable.

Howyou can make an impact:

Enterprise Data Platform & Architecture

• Lead the design implementation and operation of EPEs enterprise data platform including modern data lake/lakehouse capabilities.
• Define scalable data architecture patterns that support operational reporting financial visibility analytics AI/ML and GenAI use cases.
• Establish curated data layers canonical data models and reusable data domains across the enterprise.
• Ensure platform architecture aligns with enterprise standards for scalability security performance and long-term maintainability.

Data Engineering & Integration

• Build and govern reliable data pipelines integration patterns and data services across enterprise systems.
• Partner with business applications analytics infrastructure and security teams to ensure data flows are accurate timely and resilient.
• Support the integration of enterprise platforms into EPEs broader data architecture.
• Partner with software and engineering teams to expose specialized engineering systems modeling/simulation tools and related data assets through secure documented versioned and observable service interfaces for approved downstream consumers.
• Manage the data and integration backlog prioritizing work based on business value risk and strategic alignment.

Data Governance Quality & Stewardship

• Establish and mature EPEs enterprise data governance framework.
• Define standards for data quality metadata lineage classification access controls and observability.
• Partner with business leaders to define data ownership stewardship responsibilities and accountability across key data domains.
• Lead governance forums that drive alignment adoption and trusted use of enterprise data.

Responsible Platform Enablement for AI Systems

• Ensure EPEs data ecosystem is prepared to support AI platforms GenAI use cases AI agents and advanced analytics.
• Partner with business engineering software and AI delivery teams to enable prioritized AI opportunities by delivering the required data products integration services access patterns and platform capabilities.
• Establish responsible data access and AI practices including governance for sensitive data model inputs and ethical use.
• Ensure AI-related data capabilities are secure scalable and aligned with enterprise architecture and software development practices.

Platform Operations Security & Reliability

• Operate data and integration platforms with a focus on reliability performance monitoring and incident response.
• Provide visibility into platform health delivery progress risks costs and tradeoffs.
• Ensure data platforms and services meet enterprise standards for access control encryption privacy compliance and security.
• Partner with Cybersecurity Legal HR and Compliance on incidents involving data misuse breaches or policy violations.

Leadership Vendor & Business Partnership

• Partner with executives and business leaders to align data initiatives with enterprise and departmental priorities.
• Manage vendor relationships platform/tooling decisions contracts and delivery outcomes.
• Drive adoption enablement and training to help teams use enterprise data capabilities effectively.

Bring your passion heres whats needed:

Experience

• Bachelors degree in Information Technology Computer Science Data Engineering or related field; masters degree preferred.
• 15 years of experience in data technology platforms enterprise applications or IT leadership.
• Proven experience leading enterprise data platform initiatives such as Snowflake lakehouse or cloud data ecosystems; AWS experience preferred.
• Experience building or leading data engineering governance integration or platform teams.
• Experience enabling AI-consuming systems including GenAI RAG analytics automation and use cases spanning both IT-governed and software-team-owned applications through governed data products APIs metadata access controls observability and reusable integration patterns.
• Experience designing secure access patterns for internal software teams and approved external technical partners including least-privilege access sandbox/prod separation audit logging credential management and data-sharing controls.

Technical & Business Skills

• Strong understanding of modern data platforms data lake/lakehouse architecture and cloud data ecosystems using both commercial off-the-shelf and open-source software.
• Experience with data integration patterns including ETL/ELT APIs streaming and batch processing.
• Knowledge of data governance MDM data quality metadata lineage and data classification practices.
• Demonstrated ability to design and govern contract-first integration patterns including APIs event streams batch interfaces semantic data products schema/version management testing error handling documentation and service-level expectations.
• Experience creating AI-ready data products with clear ownership authoritative sourcing semantic definitions metadata lineage quality thresholds sensitivity classification permitted-use rules and machine-readable documentation.
• Experience establishing observability for data and integration services including freshness completeness lineage latency failures usage patterns access anomalies cost and downstream impact.
• Understanding of security privacy compliance and access control requirements for enterprise data platforms.
• Ability to translate business strategy into practical roadmaps measurable outcomes and delivery plans.
• Ability to establish practical governance patterns that make approved data and system access faster safer and more reusable while mitigating risks.
• Preferred: experience exposing specialized engineering modeling simulation geospatial scientific or operational software through APIs workflow services data pipelines or automation interfaces

Leadership & Operating Style

• Strategic thinker with strong execution discipline.
• Structured accountable and outcome-oriented.
• Strong communicator with the ability to influence senior leaders and cross-functional stakeholders.
• Comfortable operating in a growing and evolving environment with multiple in-flight initiatives that may need consolidation or cooperation.
• Able to balance architecture governance delivery speed risk and business value.
• Service-oriented platform leader who enables business engineering software and AI delivery teams without unnecessarily centralizing control.
• Comfortable enabling iterative pilots and production hardening in parallel balancing near-term delivery needs with long-term platform standards.
• Can build teams from existing resources and recruit necessary talent to meet objectives.

Why This Role Matters

EPE is scaling its technology and data capabilities to support continued growth operational excellence and AI-driven innovation. This role will be central to building the trusted enterprise data foundation that enables better decisions improved automation and agentic/AI-enabled ways of working.

Lead the Change!

Be a part of an innovative team shaping the grid of the future through advanced energy intelligence. For more than half a century Electric Power Engineers (EPE) has partnered with power and energy clients across the globe providing consulting expertise and energy intelligence software solutions for complex engineering and grid modeling challenges. As leaders in the renewables space we are focused on building a modern secure and resilient grid. Join us in making an impact on the communities we serve and the environment in which we live. Together we can transform the future of energy.

How we support you:

• Comprehensive health and wellness benefits including medical dental and vision with 100% premium coverage foryou
• Generous PTO and paid holidays
• MyShare Employee Ownership Program
• Work with industry leaders
• 401K up to a 4% match (100% vested from day 1)

Location: This position will be located in Austin TX

Travel: Occasional travel may be needed (10% or less)

EPE is an equal opportunity/AA/Disability/Veteran employer. The EEO is the Law poster and its supplement are available using the following links:EEOC is the Law Poster

Third-Party Recruiting Notification

EPE does not accept unsolicited resumes fromthird-party recruiters. Any unsolicited third-party resumes forwarded by recruiters to EPE via our career page or to any of our managers or employees will be considered public information may be treated as a direct application from the person identified in the resume and will not be eligible for placement fee payment to the will not pay a fee to a third-party recruiter or agencywithout a previously signed third-party agreementand has not coordinated their recruiting activity with the appropriate member of the Talent Acquisition team.