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Dwyer Franchising LLC
Director, Data Platform & Analytics
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What they do
A Data Manager manages databases and coordinates data collection and analysis for a company or organization. Develops procedures for documentation and data storage. Performs or manages data analysis for studies, projects and reports.
$141,454 / year median in Texas
+17% projected growth
Job Description
Director, Data Platform & Analytics Are you looking for a place where you can bring your experience leading the development , optimization, and ongoing evolution of Neighborly's AWS-based data platform? This role will be responsible for the data lake and pipelines that power Analytics, Marketing Automation, AI/ML, and GenAI across the organization. Welcome to Neighborly—the hub of service brands that connects customers to top-notch local experts who repair, maintain , and enhance homes and businesses. Our long-standing business, with over 40 years of experience, is focused on strategic innovation as we build the future of home and business services. Bring your ambition to the table as we unlock new doors together, taking your career to the next level. Bring your experience and be empowered to innovate. As a Director, Data Platform & Analytics on the Data & Strategy Ops team, a typical day for you will include: Own the strategy, architecture, development, and optimization of Neighborly's AWS-based data platform and data lake, ensuring scalable, secure, reliable, and cost-effective data infrastructure aligned with business and technology objectives . Lead the design, development, and operationalization of enterprise data ingestion, transformation, orchestration, and integration frameworks, enabling trusted data from internal, external, SaaS, API, database, and third-party sources. Partner with Marketing, Analytics, Data Science, and business stakeholders to deliver high-quality data solutions that support customer engagement, segmentation, campaign activation, attribution, enterprise reporting, self-service analytics, and business decision-making. Build and enable the data foundations required for AI, Machine Learning, and GenAI initiatives, including data preparation, metadata management, retrieval processes, orchestration, continuous refresh, and secure integration with AI applications, agents, and analytics platforms. Establish and enforce data engineering standards, best practices, governance, monitoring, quality, performance, documentation, and operational processes while driving modernization and adoption of AWS-native capabilities. Lead and develop a high-performing Data & Analytics Engineering team, providing technical leadership and cross-functional collaboration to translate business requirements into scalable data solutions while balancing strategic platform evolution with operational excellence. Bring your skills and be inspired to achieve success.