Director, Data Platform & Analytics

Neighborly®•Irving, TX

3d•Hybrid

About The Position

Neighborly is seeking a Director, Data Platform & Analytics to lead the development, optimization, and ongoing evolution of its 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. Neighborly is a long-standing business with over 40 years of experience, focused on strategic innovation in the home and business services sector.

Requirements

5+ years of related experience in data engineering, data platforms, analytics engineering, or a related technical data role, including experience leading data platform development and/or technical teams.
Experience with Marketing Automation and customer engagement platforms such as Braze, Broadly, or similar
Experience building customer data platforms, marketing data ecosystems, and analytics architectures, with expertise in Amazon QuickSight, AI/ML and GenAI solutions, including LLM applications, AI agents, Retrieval-Augmented Generation (RAG), and AI-driven data pipelines.
Strong written and verbal communication skills with the ability to communicate technical concepts to both technical and non-technical audiences.
Demonstrated analytical and critical thinking skills with the ability to interpret data and make informed business recommendations.
Ability to evaluate technology solutions, vendor proposals, and business requirements using sound judgment.
Ability to manage ambiguity, prioritize competing initiatives, and develop structured solutions to complex business problems

Responsibilities

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.