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Vice President Data Engineering Jobs in Georgia (NOW HIRING)

Vice President, Data & Analytics Architectural Products Group Atlanta, Georgia, United States Job ... We're a trusted and strategic partner to engineers, contractors, distributors, specifiers ...

You will partner with product, engineering, clinical, and commercial leadership to ensure data and ... Chief Technology Officer As the VP of Data Strategy at Trella, you will lead: Strategy & Vision

We're a trusted and strategic partner to engineers, contractors, distributors, specifiers ... Job Summary The Vice President of Data & Analytics is a senior executive responsible for defining ...

VP Engineering

Atlanta, GA ยท On-site +1

$173K - $223K/yr

Built on a glass-box architecture, it uses market data - not personal data - with full transparency ... As VP Engineering , you will serve as a senior technical and organizational leader , helping to ...

Job Title: VP of Manufacturing Company Overview: Our client is a prominent player in the aerospace ... Collaborating with cross-functional teams, including engineering, supply chain, and quality ...

VP, Finance

Loganville, GA ยท On-site

$205K - $300K/yr

This role demands a visionary leader who can translate complex financial data into actionable insights that influence business decisions. Ultimately, the VP of Finance will be instrumental in guiding ...

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Vice President Data Engineering information

What is the difference between Vice President Data Engineering vs Data Engineering Manager?

AspectVice President Data EngineeringData Engineering Manager
ResponsibilitiesStrategic leadership, overseeing data infrastructure, setting visionTeam management, project execution, technical oversight
Required CredentialsBachelor's/Master's in CS, extensive experience, leadership skillsBachelor's/Master's in CS, technical expertise, management experience
Work EnvironmentExecutive-level, cross-departmental collaborationTeam-based, project-focused, technical environment
Industry UsageCommon in large organizations, strategic rolesWidespread across companies, operational roles

The Vice President Data Engineering focuses on strategic leadership and long-term vision for data infrastructure, while the Data Engineering Manager handles day-to-day team management and project execution. Both roles require strong technical backgrounds, but the VP role emphasizes leadership and strategy, whereas the manager role is more hands-on with technical implementation.

What is a vice president data engineering?

A Vice President of Data Engineering is a senior executive responsible for leading and overseeing the data engineering function within an organization. They manage teams that design, build, and maintain data architectures, pipelines, and infrastructure to support data analytics and business intelligence. The VP of Data Engineering collaborates closely with other executives to define data strategy, ensure data quality, and enable data-driven decision-making across the company. Their role often includes setting technical direction, managing budgets, and ensuring compliance with data governance and security standards.

What are the key skills and qualifications needed to thrive as a vice president data engineering, and why are they important?

To thrive as a Vice President of Data Engineering, you need deep expertise in data architecture, large-scale data systems, and team leadership, often supported by a degree in computer science or a related field. Familiarity with cloud platforms (like AWS, Azure, or Google Cloud), big data technologies (such as Hadoop, Spark), and relevant certifications (e.g., AWS Certified Data Analytics) is highly valued. Strategic thinking, strong communication, and the ability to mentor and motivate teams are crucial soft skills for success in this executive role. These skills and qualities are essential to drive data strategy, ensure robust system performance, and align engineering efforts with business objectives.

What are some common challenges faced by a vice president data engineering, and how can they be addressed?

A Vice President of Data Engineering often deals with challenges such as aligning data strategy with business goals, managing cross-functional teams, and ensuring data quality and security at scale. Balancing rapid innovation with system reliability can also be demanding, as can integrating new technologies with legacy systems. Success in this role typically involves strong communication with stakeholders, fostering a culture of collaboration, and investing in ongoing staff development to keep pace with evolving data landscapes.
What are the most commonly searched types of Data Engineering jobs in Georgia? The most popular types of Data Engineering jobs in Georgia are:
What are popular job titles related to Vice President Data Engineering jobs in Georgia? For Vice President Data Engineering jobs in Georgia, the most frequently searched job titles are:
What job categories do people searching Vice President Data Engineering jobs in Georgia look for? The top searched job categories for Vice President Data Engineering jobs in Georgia are:
What cities in Georgia are hiring for Vice President Data Engineering jobs? Cities in Georgia with the most Vice President Data Engineering job openings:
Infographic showing various Vice President Data Engineering job openings in Georgia as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution.

Vice President, Data & Analytics

CRH

Atlanta, GA โ€ข On-site

Full-time

Medical, Dental, Retirement

Re-posted 4 days ago


Job description

Vice President, Data & Analytics
Architectural Products Group
Atlanta, Georgia, United States
Job ID: 523775
Oldcastle, a CRH company, is reinventing what's possible in building solutions. We are the leading provider of innovative outdoor living products and utility infrastructure solutions for the water, energy, and communications markets throughout North America. We're a trusted and strategic partner to engineers, contractors, distributors, specifiers, retailers, and homeowners alike as the manufacturer of precast concrete, polymer concrete, and plastic infrastructure products. Our portfolio of brands includes Oldcastle APG, Oldcastle Infrastructure, Belgardยฎ hardscape, Echelonยฎ Masonry, RDIยฎ railing, Catalystโ„ข Fence Solutions, Sakreteยฎ packaged concrete, Amerimixยฎ mortar, Pebble Technology Internationalยฎ pool finishes, and Technisealยฎ sands and sealant technologies.
Job Summary
The Vice President of Data & Analytics is a senior executive responsible for defining and executing the enterprise data strategy to drive measurable business outcomes. This leader will build a high-performing, collaborative organization that delivers actionable insights, enables data-driven decision-making, and embeds analytics into core business processes.
This role requires a business-first mindset, with deep experience partnering across functions to translate data into operational and commercial impact. The VP will modernize the data ecosystem by establishing a self-service analytics architecture that reduces dependency on IT for reporting and significantly accelerates time-to-insight.
The ideal candidate brings a proven track record of leading the architecture and orchestration of a unified data ecosystem by harmonizing disparate, high-volume data streams-including legacy systems, cloud applications, and third-party APIs-to provide a single, authoritative source of truth for enterprise-wide decision-making.
Job Location
This is a hybrid position located at our Atlanta, GA corporate office.
Job Responsibilities
Business Partnership & Impact
  • Serve as a strategic partner to executive leadership across Operations, Finance, Commercial, and Supply Chain to drive business performance.
  • Translate business priorities into data and analytics solutions that deliver clear, actionable insights and measurable outcomes.
  • Establish strong relationships with business leaders, ensuring analytics is embedded into decision-making processes.
  • Define KPIs and performance frameworks that align analytics to enterprise value creation.

Data & Analytics Strategy
  • Define and execute a multi-year data & analytics roadmap aligned to enterprise strategy.
  • Build a scalable data ecosystem that integrates ERP, OT, and external market intelligence.
  • Lead the evolution toward a self-service analytics model, empowering business users while maintaining governance and data quality.
  • Champion a culture of data-driven decision-making across the organization.

Architecture & Technology Leadership
  • Design and implement a modern data platform leveraging the latest technology
  • Drive automation and data pipelines that reduce manual reporting and eliminate IT dependency for standard analytics.
  • Ensure data governance, quality, security, and scalability across all platforms.

Team Leadership & Culture
  • Build, lead, and develop a high-performing, collaborative, business-centric data & analytics organization, including data engineering, BI, and data science.
  • Foster an agile, outcome-focused culture that can rapidly adapt to changing business priorities.
  • Establish clear accountability for results, speed, and business value delivery.
  • Mentor leaders and creates a strong pipeline of talent.

Delivery of Insights & Innovation
  • Oversee delivery of advanced analytics, forecasting, and predictive models to improve operational and commercial outcomes.
  • Ensure insights are delivered in intuitive, consumable formats (dashboards, self-service tools).
  • Continuously evaluate emerging technologies (AI/ML) to enhance capabilities and competitive advantage.

Job Requirements
  • 15+ years of experience in data & analytics, including leadership of enterprise-scale teams.
  • Proven experience building and leading results-driven, agile teams.
  • Demonstrated success in business partnering and influencing executive stakeholders.
  • Deep experience delivering actionable insights that drive measurable business outcomes.
  • Experience designing and implementing self-service analytics environments that reduce reliance on IT for reporting.
  • Strong experience with:
    • Snowflake, AWS, Azure, SAP, Infor M3, MuleSoft, and Salesforce
  • Experience in a manufacturing or industrial environment.
  • Background in integrating operational technology (OT) data with enterprise systems.
  • Experience leveraging market and competitive intelligence data to inform strategy.
  • Advanced degree in a quantitative, technical, or business field.
  • Business-first leader who can bridge technical and commercial conversations.
  • Strong collaborator who builds trust and alignment across functions.
  • Strategic thinker with the ability to execute and deliver results.

What CRH Offers You
  • Highly competitive base pay
  • Comprehensive medical, dental and disability benefits programs
  • Group retirement savings program
  • Health and wellness programs
  • An inclusive culture that values opportunity for growth, development, and internal promotion

About CRH
CRH has a long and proud heritage. We are a collection of hundreds of family businesses, regional companies and large enterprises that together form the CRH family. CRH operates in a decentralized, diversified structure that allows you to work in a small company environment while having the career opportunities of a large international organization.
If you're up for a rewarding challenge, we invite you to take the first step and apply today! Once you click apply now, you will be brought to our official employment application. Please complete your online profile and it will be sent to the hiring manager. Our system allows you to view and track your status 24 hours a day. Thank you for your interest!
Oldcastle APG, a CRH Company, is an Affirmative Action and Equal Opportunity Employer.
EOE/Vet/Disability
CRH is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, status as a protected veteran or any other characteristic protected under applicable federal, state, or local law.
AI tools may be used in certain stages of the employment lifecycle, such as candidate review; however, all final employment decisions will be made by a person.