Director of Data - Analytics, BI & Data Science

Jobright; Charlotte (NC); On-site; USD 180,000 - 240,000; Full time

Job summary

Renuity, a national leader in the direct-to-consumer home improvement space, seeks a Director of Data to drive analytics, BI and data science. You will define a data strategy, build a high-impact team and partner with C-level and business leaders to embed data-driven decision-making across the organization.

You will lead data governance, master data and enterprise dashboards, while evolving the data stack with Snowflake, dbt, Looker/Tableau, Python and SQL. This role is onsite in Charlotte, NC.

Qualifications

• Data strategy, machine learning, data governance and architecture expertise.
• Leadership of a data team including analysts, data scientists and BI engineers.
• Strong with statistical modeling, experimentation and ML techniques.

Responsibilities

• Define and execute long-term data strategy aligned with business objectives.
• Lead enterprise data governance, quality and compliance frameworks.
• Oversee ML models and predictive analytics across marketing, sales, operations and customer engagement.
• Standardize dashboards, self-service BI and executive reporting.
• Build scalable data pipelines, architecture and warehousing (Snowflake, dbt, Fivetran).

Skills

Data strategy

Machine learning

Data governance

Data architecture

Data team leadership

Statistical modeling

Business intelligence

Data pipelines

Curiosity

Executive presence

Collaboration

Continuous learning

Tools

dbt

Snowflake

Looker

Tableau

Python

SQL

Azure

Google Cloud

Job description

Director of Data - Analytics, BI & Data Science

Charlotte, NC

Full-time

Onsite

Director/Executive

10+ years exp

Renuity is a national leader in the direct-to-consumer home improvement industry, dedicated to transforming spaces and enhancing lives. They are seeking a strategic and hands-on Director of Data to lead efforts across Analytics, Business Intelligence, and Data Science, defining data strategy and building a high-impact team to drive business outcomes through data-driven decision-making.

Responsibilities

Define and execute long-term data strategy aligned with business and technology objectives

Serve as the enterprise data thought leader, partnering with C-level and business leaders to embed data-driven decision-making across the organization

Lead the Data as a Product mindset, aligning key KPIs and metrics with business leaders that help drive the organization forward

Help define and drive the master data strategy

Establish data governance, quality, and compliance frameworks to ensure trusted data assets

Applying AI/ML towards solve complex but exiting business challenges

Build and lead a high-performing team of analysts, data scientists, and BI engineers

Create career paths, development plans, and performance metrics for the data team

Foster a culture of curiosity, collaboration, and continuous learning

Oversee the development and deployment of machine learning models and predictive analytics to support marketing, sales, operations, and customer engagement

Translate business challenges into analytical frameworks that drive insight and action

Standardize and scale enterprise dashboards, self-service BI tools, and executive reporting

Partner with cross-functional teams to define KPIs and ensure data accuracy, consistency, and usability

Collaborate with engineering teams to build scalable data pipelines, architecture, and warehousing solutions (e.g., Snowflake, dbt, Fivetran)

Optimize data infrastructure to enable fast, reliable access to insights and experimentation

Qualification

Data strategy Machine learning Data governance Data architecture Data team leadership Statistical modeling Business intelligence Data pipelines Curiosity Executive presence Collaboration Continuous learning

Required

10-12+ years of experience in data leadership roles spanning analytics, BI, and data science

Proven success building and scaling data teams in fast-paced, growth-stage or enterprise environments

Hands-on expertise with modern data stack tools (e.g., dbt, Snowflake, Looker/Tableau, Python, SQL)

Experience with hyperscalers such as Azure, Google

Strong understanding of statistical modeling, experimentation, and machine learning techniques

Executive presence and ability to influence at all levels of the organization

Preferred

Experience supporting marketing attribution, sales performance, operations, and/or customer experience analytics

Company

Renuity

Nationwide home remodeling services for bathrooms, kitchens, windows, and doors.

Data strategy Machine learning Data governance Data architecture Data team leadership