Director of Data - Analytics, BI & Data Science

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