Data & Analytics Leader

Tim O'Brien Homes • Milwaukee, WI

11d

About The Position

Do you love Data Analytics and AI and want to lead how they’re applied in a growing homebuilding organization? As the Data & Analytics Manager at Tim O’Brien Homes, you’ll lead efforts to identify efficiencies, deliver insights, and guide strategic decisions through data and AI. You’ll collaborate with leaders across the organization to ensure analytics and automation are aligned with operational needs and long-term growth goals. If you’re ready to make a lasting impact and help shape the future of homebuilding through data, we invite you to join Tim O’Brien Homes! Serve as a hands‑on, working manager who personally designs, builds, and delivers analytics, data engineering, and AI solutions while also leading and mentoring a small team (currently one Data Analyst II). Define and execute the company’s data, analytics, and AI strategy, translating business needs into practical, scalable solutions that drive operational efficiency and decision‑making. Architect, build, and maintain cloud‑based data platforms and pipelines, including data ingestion, storage, processing, APIs, and model deployment across business systems and IoT sources. Personally develop and deploy advanced analytics and machine learning solutions, including predictive models (demand, cost, schedule), AI‑driven recommendations, and workflow/process optimization. Enable near real‑time and operational analytics, supporting construction project monitoring, quality control, and performance visibility across the organization. Lead structured delivery of analytics and data products, owning backlog creation, sprint planning, execution, demos, and outcomes using Scrum‑like methodologies. Direct and coordinate outsourced analytics or AI work, setting technical direction, reviewing deliverables, and ensuring external partners meet internal standards, timelines, and business objectives.

Requirements

• 7+ years of experience in data analytics, with 3+ years in leadership roles
• Bachelor's degree in data science, Computer Science, Engineering, or related field
• Demonstrated success in building and leading high-performing analytics teams
• Proven experience in advanced data modeling
• Proven experience implementing AI/ML solutions in enterprise environments
• Experience with cloud platforms (Azure (preferred), AWS, BigQuery)
• Demonstrated success in ML, deep learning, and statistical modeling
• Excellent problem-solving and strategic thinking abilities

Nice To Haves

• Industry certifications (Microsoft preferred)

Responsibilities

• Personally designs, builds, and delivers analytics, data engineering, and AI solutions while also leading and mentoring a small team
• Define and execute the company’s data, analytics, and AI strategy, translating business needs into practical, scalable solutions
• Architect, build, and maintain cloud‑based data platforms and pipelines, including data ingestion, storage, processing, APIs, and model deployment across business systems and IoT sources
• Develop and deploy advanced analytics and machine learning solutions, including predictive models (demand, cost, schedule), AI‑driven recommendations, and workflow/process optimization
• Enable near real‑time and operational analytics, supporting construction project monitoring, quality control, and performance visibility across the organization
• Lead structured delivery of analytics and data products, owning backlog creation, sprint planning, execution, demos, and outcomes using Scrum‑like methodologies
• Direct and coordinate outsourced analytics or AI work, setting technical direction, reviewing deliverables, and ensuring external partners meet internal standards, timelines, and business objectives

What This Job Offers

• Job Type: Full-time
• Career Level: Manager