Wonderful opportunity to join an established, award-winning organization as part of the executive leadership team. This is within the design and construction space. The right candidate for this opportunity has a technology forward approach, demonstrated history of project management and process improvement, and enjoys building relationships throughout an organization. A positive attitude is a must as well!
Responsibilities
- Forecast the production pipeline, as well as track scope and timeline changes, using data & metrics.
- Work closely with estimating & procurement to achieve the optimal balance between in-house and outsourced production.
- Collaborate with project management and client services to capture project planning data to drive production scheduling decisions.
- Coordinate with project teams to identify opportunities to improve the data captured.
- Implement process improvements and create better project information workflow.
- Monitor production status and adjust schedules as necessary to meet delivery deadlines.
- Evaluate processes to improve operational efficiency and effectiveness.
- Manage external production partners, ensuring adequate vendor resources are available to produce high quality work.
- Analyze and report on key performance indicators (KPIs) related to production and scheduling.
- Contribute to budgeting and financial planning for production operations.
Qualifications
- 8+ years in an operations role with proven success in data-driven organizational change management.
- Proficiency in data sourcing, data interpretation, trend analysis, and optimizing processes.
- Success with scaling data-driven workflows.
- Ability to translate data insights into operational strategies.
- Excellent critical thinking, communication, negotiation, and problem solving skills.
- Superb people and leadership skills and ability to interact with peers, senior executives, cross-functional stakeholders, and external third parties.
- Ability to organize people & resources to achieve deadline driven objectives.
- Bachelor's degree in operations, data science, business analytics, or a relevant field; MBA or advanced degree preferred.
- Background in construction or manufacturing ideal, but not required.
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