BES Data Steward: Lead Data Governance for Engineering

HDR; Boise (ID); On-site; USD 150,000 - 200,000; Full time

Benefits offered by this job

Employee ownership

Comprehensive benefits package

Tuition reimbursement

Job summary

HDR is seeking a BES Data Steward to lead data governance across the Building Engineering Services Business Group. The role focuses on defining data standards, aligning terminology, and coordinating SME expertise to enable data reuse and better project delivery.

Embedded in BES leadership, the role drives data-driven decisions, ensures consistent data practices, and collaborates with Enterprise Data Science Teams to support analytics, automation, and AI initiatives.

Qualifications

• Requires a Bachelor’s degree in architecture, engineering, data science, business, computer science, or related discipline.
• Demonstrated experience in data stewardship and governance within a Building Engineering context.
• Ability to define and align data terminology with enterprise standards.
• Proven leadership across cross-functional teams and domains.
• Experience enabling data reuse, reuse governance, and data-driven decision making.
• Strong communication and change-management skills.

Responsibilities

• Establish and coordinate SME networks to define technical standards aligned with BES data practices and enterprise expectations.
• Develop business-aligned data definitions to support reporting, automation, and AI use cases.
• Promote consistent use and governance of technical data across BES disciplines.

Skills

Data stewardship

Data governance

Data standards

Leadership

Cross-functional collaboration

Communication

Data fluency

Education

Bachelor’s degree in architecture, engineering, data science, business, computer science, or related discipline

Job description

HDR is seeking a BES Data Steward to lead data governance across the Building Engineering Services Business Group. The role focuses on defining data standards, aligning terminology, and coordinating SME expertise to enable data reuse and better project delivery.

Embedded in BES leadership, the role drives data-driven decisions, ensures consistent data practices, and collaborates with Enterprise Data Science Teams to support analytics, automation, and AI initiatives.