Business Intelligence & Analytics Leader

Tim O'Brien Homes • Milwaukee, WI

13h

About The Position

As the Business Intelligence & Analytics Leader at Tim O’Brien Homes, you will lead efforts to identify efficiencies, deliver insights, and guide strategic decisions through data and AI. This role involves collaborating with leaders across the organization to align analytics and automation with operational needs and long-term growth goals, aiming to make a lasting impact and shape the future of homebuilding through data.

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, 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

• 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.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Number of Employees: 11-50 employees