Director of Data Analytics & Modeling

Work set-up: 
Full Remote
Contract: 
Experience: 
Senior (5-10 years)
Work from: 

Offer summary

Qualifications:

Bachelor's or Master's degree in Data Science, Computer Science, or related field., At least 5 years of experience in data modeling, analytics, or business intelligence., Deep expertise in data modeling techniques and BI platforms like Power BI., Proficiency in SQL, Python, and data governance tools..

Key responsibilities:

  • Design and maintain enterprise-wide data models.
  • Lead analytics initiatives including forecasting and customer segmentation.
  • Collaborate with data scientists and analysts on predictive models.
  • Advise stakeholders on data asset utilization and data governance.

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Bozzuto http://www.bozzuto.com
1001 - 5000 Employees
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Job description

At Bozzuto, every member of our organization shares an unyielding desire to promote goodness for those around them. We do this every day as we design, build, manage and maintain one-of-a-kind residences, as well as through a range of support and consulting services. Building community within our organization enables us to build better communities for all.

Everyone at Bozzuto is focused on delivering exceptional experiences to all of our stakeholders, including our own associates. Our work inspires us to be our best in each of our roles, fostering a spirit of community within a welcoming and inclusive workplace. Guided by our core values of creativity, concern, passion and the pursuit of perfection, we are inspired and empowered to reach higher, achieve our fullest professional and personal potential and be truly extraordinary.

 

Responsibilities 

We are seeking a highly skilled and technical Director of Data Analytics & Modeling to lead in our efforts to advance our data analytics and product platform. This role is responsible for designing and implementing enterprise-grade data models, driving advanced analytics initiatives, and architecting scalable data solutions that enable AI and machine learning readiness. You will work closely with executives, analysts, and engineers to ensure data is structured, accessible, and actionable across the business.

The ideal candidate combines hands-on expertise in data modeling, analytics frameworks, and business acumen with the ability to influence decisions and guide technical direction.

Key Responsibilities

🔹 Data Modeling

  • Design, implement and maintain enterprise-wide data models that align with business processes and reporting needs.
  • Develop and maintain semantic layers, dimensional models, and metadata structures for BI and AI enablement.
  • Lead complex analytics initiatives including forecasting, customer segmentation, and performance optimization.
  • Collaborate with data scientists and analysts to prototype and validate predictive models and machine learning algorithms.
  • Design and develop analytics assets such as dashboards, datasets, and model-ready data sets using tools like SQL, Python, and Power BI platforms.

🔹 Technical Enablement & Influence

  • Partner with data engineering to shape the design of data pipelines and warehouse models that support analytical and operational use cases.
  • Provide guidance on data governance, data quality, lineage, and compliance frameworks.
  • Advise business stakeholders on leveraging data assets effectively for strategic and operational outcomes.

🔹 Innovation & Strategic Contribution

  • Evaluate emerging technologies, frameworks, and methodologies in data modeling and AI/ML.
  • Recommend improvements to analytics tooling, architecture, and workflows for greater efficiency and scalability.

Serve as a technical voice in cross-functional planning, architecture reviews, and data strategy discussions

What You Bring To Us

🔹 Required

  • Bachelor’s or Master’s degree in Data Science, Computer Science, Information Systems, Statistics, or related field.
  • 5+ years of experience in data modeling, analytics, or business intelligence, including experience working across functions.
  • Deep expertise in data modeling techniques (e.g., star/snowflake schema, normalized forms, semantic modeling).
  • Strong command of SQL, DAX, and BI/analytics platforms (Power BI).
  • Proven ability to work independently while influencing technical strategy and outcomes.

🔹 Preferred

  • Knowledge and experience with Snowflake data platform, Yardi property management system, Sigma, and/or Cube
  • Knowledge and experience of Python
  • Industry certifications (e.g., CDMP, Certified Analytics Professional, dbt Analytics Engineering).
  • Exposure to AI/ML model lifecycle and feature engineering pipelines.
  • Experience in metadata management, data catalogs, or MDM platforms.
  • Familiarity with data governance tools (e.g., Collibra, Alation
Salary Range
$130,000$140,000 USD
When you join Bozzuto, you're not just accepting a job; you are becoming part of a community that cares about your overall well-being and professional growth. We recognize that our team members are the core of our business, and we are committed to taking care of them so they can deliver outstanding experiences to our residents. In addition to an award-winning culture, our benefits take into consideration everything from career development, retirement, family matters and health and wellness.
 
Working on our team and in this position, you can expect:
  • Competitive compensation. 
  • Health & wellness benefits. We offer coverage for medical, dental, and vision, including access to the best doctors at an affordable price.
  • Paid leave. We provide 20 days of paid time off plus holidays.
  • Retirement planning. We offer a 401k program with a company match.
  • Tuition reimbursement. Plus, many other programs to support career development and growth.

The specific benefits outlined above apply to full-time employees at Bozzuto. Benefits for part-time employees and interns will be discussed during the interview process. Contract positions are not eligible for benefits.

Bozzuto is proudly an Equal Opportunity Employer.

Required profile

Experience

Level of experience: Senior (5-10 years)
Spoken language(s):
English
Check out the description to know which languages are mandatory.

Other Skills

  • Strategic Thinking
  • Collaboration

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