Job Title

Enterprise Data Management Principal

Employment Type

Starting Pay Range

Posting Date

FULL-TIME

$123,444.00 - $154,305.00

8/18/2026

Employment Classification

Division

Closing Date

Regular

Technology Services

9/1/2026

Lincoln Electric System (LES) is looking for an experienced data professional to play a critical role in shaping how we manage and use data across our electric utility. As Principal, Enterprise Data Management, you will work across business and technology teams to strengthen enterprise data practices, integrate data considerations into projects and technology decisions, and help ensure trusted, useful data is available to support operations, analytics, and decision-making. We're looking for a collaborative, self-directed professional who can bring people together, turn strategy into action, and help build an enterprise data capability that will grow with LES.

JOB SUMMARY

Responsible for advancing enterprise data management practices across LES through cross-functional collaboration, facilitation, and integration with business and technology processes. Works across organizational boundaries to help operationalize the enterprise data strategy, improve visibility into data assets and dependencies. Promotes consistent data management practices that support business operations, decision-making, analytics, and future technology initiatives. Partners with business stakeholders and technology teams to incorporate data considerations into projects, operational processes, and technology solutions. The position helps identify opportunities to improve the value, accessibility, usability, and stewardship of organizational data (IT and OT) while supporting the development of practical governance, metadata, and information management practices. Serves as a key liaison between business and technology teams, helping ensure data is managed as a strategic organizational asset and positioned to support current and future enterprise needs.

ESSENTIAL DUTIES AND COMPENTENCIES

• Lead and coordinate efforts to implement and mature enterprise data management practices across the organization in alignment with enterprise data strategy objectives.

• Serve as a subject matter expert regarding enterprise data management practices, industry trends, and emerging opportunities related to data, analytics, and information management.

• Lead cross-functional engagement among business and technology stakeholders to establish priorities, address challenges, and advance enterprise data management capabilities.

• Promote organizational awareness, understanding, and adoption of enterprise data management practices through stakeholder engagement, education, and collaboration.

• Identify opportunities to improve the availability, quality, and use of enterprise data to support business operations, analytics, and decision-making.

• Partner with business stakeholders and technology teams to incorporate data considerations into project intake, solution design, system implementation, and operational activities.

Accountability - Holds self and others responsible for goals, outcomes, deadlines, and objectives and follows through on commitments. Takes accountability for delivering on commitments; owns mistakes and uses them as opportunities for learning and development.

Adaptability - Maintains a positive attitude in the face of change; appropriately adjusts behavior and activities to changing conditions.

Communication - Expresses ideas and information in a clear and concise manner whether verbally, written, or other means; tailors message to fit the interests and needs of the audience; delivers information in a manner that is interesting and compelling.

Initiative - Takes action on their own without being prompted; handles problems independently; able to resolve issues without relying on extensive help from others; does more than is expected or asked.

Decision Making - Moves quickly to make good decisions and commit to a clear course of action; comfortable making sound decisions based on partial information; willing to take appropriate risks in order to maintain momentum; shows a strong bias toward action.

Leading/Facilitating Teams - Helps team develop a vision, objectives, and goals consistent with the organization's mission while encouraging personal ownership, anticipating and resolving conflicts, and fostering an environment where team members are motivated to do their best work.

OTHER SKILLS AND ABILITIES

• Ability to facilitate discussions, build consensus, and influence decisions across organizational boundaries.

• Ability to communicate effectively with both technical and non-technical audiences.

• Ability to balance strategic thinking with practical implementation.

• Ability to identify opportunities, gaps, and next steps with limited direction and take initiative to advance work toward desired outcomes.

• Ability to effectively communicate progress, risks, recommendations, and decision points to leadership and stakeholders.

• Ability to navigate ambiguity and develop practical approaches to complex organizational and information management challenges.

EDUCATION and/or EXPERIENCE

• Bachelor's degree in Business Administration, Information Systems, Computer Science, Data Analytics, Engineering, Public Administration, or a related field; or an equivalent combination of education and experience sufficient to successfully perform the essential duties of the job.

• Seven years of progressively responsible experience in one or more of the following areas: enterprise applications, data management, business analysis, business intelligence, enterprise architecture, process improvement, project delivery, utility operations, or related discipline.

• Demonstrated experience leading cross-functional initiatives, facilitating stakeholder engagement, and influencing organizational outcomes without direct authority.

• An equivalent combination of education and experience sufficient to successfully perform the essential duties of the job.

• Preferred: Experience with enterprise data platforms, analytics, visualization, and AI-enabled data technologies (e.g., Microsoft Fabric, Power BI, Azure data services, Snowflake, Tableau, or similar solutions).

CERTIFICATES, LICENSES, REGISTRATIONS

• Certified Data Management Professional (CDMP) preferred but not required

Benefit Highlights -NonUnion