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SVP, Content Operations - Job Opportunity at Dodge Construction Network

Remote, United States
Full-time
Executive
Posted: January 18, 2025
Remote
USD 225,000 - 325,000 base + bonus potential of 30-50%, with total compensation ranging USD 300,000 - 500,000 annually

Benefits

Comprehensive benefits package including health coverage
Performance-based discretionary annual bonus
Remote work flexibility
Professional development opportunities

Key Responsibilities

Lead 300+ person content operations team spanning internal and third-party resources
Drive strategic content acquisition and management to support product innovation
Oversee end-to-end content lifecycle from sourcing to delivery
Partner with C-suite on technology optimization and budget management
Establish and optimize KPIs and operational efficiency metrics
Drive content quality standards and governance frameworks

Requirements

Education

Bachelor's degree in a related field or equivalent education and work experience; Master's degree a plus

Experience

10+ years of relevant work history

Required Skills

Deep curiosity and unrelenting persistence Data-driven decision making Strong people leadership Process optimization expertise Technology systems understanding Large workforce management Strategic planning Operational excellence Budget management Vendor management
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Sauge AI Market Intelligence

Industry Trends

The construction data analytics sector is experiencing rapid digital transformation, with increasing emphasis on AI/ML integration for data processing Growing demand for real-time construction intelligence and predictive analytics is driving the need for sophisticated content operations Market consolidation in construction tech is creating opportunities for comprehensive data providers

Role Significance

Large-scale operation with 300+ direct and indirect reports, typically structured with regional managers and specialized team leads
Executive leadership position with direct C-suite interaction and significant strategic influence on company's core product offerings

Key Projects

Digital transformation initiatives for content operations Implementation of AI/ML for data processing optimization Vendor consolidation and efficiency programs Quality control system modernization

Success Factors

Deep understanding of data operations at scale Strong executive presence and stakeholder management capabilities Track record of operational efficiency improvements Experience with digital transformation initiatives Proven ability to manage large, distributed teams

Market Demand

High demand with limited talent pool due to specialized industry knowledge requirements and scale of operations managed

Important Skills

Critical Skills

Large-scale operations management experience due to 300+ team size Data operations expertise particularly in quality control and process optimization Executive leadership capabilities for C-suite collaboration Strategic planning for content acquisition and management

Beneficial Skills

Construction industry knowledge Machine learning/AI implementation experience Change management expertise International operations experience

Unique Aspects

Scale of content operations team is unusually large for industry
Direct influence on core product strategy through content operations
Combination of traditional data operations with emerging tech integration

Career Growth

3-5 years in role typical before advancement, depending on organizational growth and market conditions

Potential Next Roles

Chief Operating Officer Chief Data Officer Chief Product Officer CEO of smaller construction tech company

Company Overview

Dodge Construction Network

Leading provider of construction industry data and analytics, serving as a critical intelligence partner for the U.S. commercial construction ecosystem

Dominant player in construction intelligence with significant market share and established industry relationships
Strong U.S. market focus with potential for international expansion
Data-driven environment with emphasis on operational excellence and innovation in a remote-first setting
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Job Listings Data

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  • Salary estimates and market demand analysis
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  • Critical success factors and key skills
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