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Data Manager

Job in Portland, Multnomah County, Oregon, 97204, USA
Listing for: Fortis Construction, Inc.
Full Time position
Listed on 2026-06-02
Job specializations:
  • IT/Tech
    Data Engineer, Data Analyst
Salary/Wage Range or Industry Benchmark: 60000 - 80000 USD Yearly USD 60000.00 80000.00 YEAR
Job Description & How to Apply Below

Job Description:

The Data Manager leads the Data Team in developing and executing a data strategy that enables data-informed decision-making across Fortis. This role oversees data professionals (data engineers, data analysts), establishes data governance frameworks, and partners with construction operations and shared services leadership to maximize the value of data as a strategic asset. The Data Manager ensures data infrastructure, tools, and practices support current business needs while positioning the organization for future growth.

Strategic

Leadership & Vision
  • Develop and execute a comprehensive data strategy aligned with Fortis’ business goals and construction operations.
  • Define the data team’s roadmap, prioritizing initiatives based on business impact and strategic value.
  • Identify emerging data trends, technologies, and best practices relevant to construction and shared services.
  • Champion a data-informed culture across the organization.
  • Present data strategy, insights, and recommendations to executive leadership.
Team Leadership & Development
  • Lead, mentor, and develop a team of data professionals including data engineers and data analysts.
  • Set clear expectations, provide regular feedback, and conduct performance evaluations.
  • Foster a collaborative team environment that encourages innovation and continuous improvement.
  • Work with Talent Acquisition team to recruit, onboard, and retain top data talent.
  • Identify skill gaps and provide training and development opportunities.
  • Promote knowledge sharing and cross-functional collaboration within and outside the team.
Stakeholder Collaboration & Partnership
  • Partner with construction operations, project teams, and shared services teams to understand data needs and identify opportunities for improvement.
  • Build strong relationships with team leaders to ensure data initiatives align with business objectives.
  • Serve as the primary data liaison between IT, business units, and leadership.
  • Facilitate cross-functional data projects and initiatives.
  • Translate business requirements into technical solutions and data team priorities.
Data Governance & Quality
  • Develop, implement, and enforce data governance policies, standards, and procedures.
  • Ensure data accuracy, completeness, consistency, and security across all systems.
  • Establish data quality metrics and monitoring processes.
  • Define and maintain data definitions, standards, and documentation.
  • Oversee data access controls and ensure compliance with privacy regulations.
  • Collaborate with IT and other teams on data protection and risk management.
Operations & Delivery Management
  • Evaluate the effectiveness of data projects, tools, and platforms to ensure they meet business needs and drive adoption.
  • Manage the data team's project portfolio, balancing competing priorities and resource constraints.
  • Establish goals and track data team performance and business impact.
  • Optimize data workflows and processes to improve efficiency and reduce bottlenecks.
  • Oversee the selection, implementation, and management of data tools and technologies.
  • Manage relationships with data platform vendors and external partners.
Infrastructure & Technical Oversight
  • Provide strategic direction for data infrastructure, including data warehouses, ETL processes, and BI platforms.
  • Ensure scalability, reliability, and performance of data systems.
  • Oversee technical architecture decisions for data solutions.
  • Stay current with construction technology platforms and enterprise systems integration needs.
Other
  • Assist in other duties as assigned, relevant to the achievement of the position’s and team’s objectives.
Required Qualifications
  • 5+ years of professional industry experience in data analytics, construction technology, or related field.
  • Bachelor’s degree in Data Science, Computer Science, Information Systems, Business Analytics, Engineering, or related degree program, or equivalent work experience.
  • Strong understanding of data architecture, data warehousing, ETL processes, and BI platforms (particularly Power BI).
  • Hands‑on technical experience with data engineering, analytics, or BI development.
  • Experience with SQL, data modeling, and modern data stack technologies.
  • Experience and…
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