> Markdown version of [/jobs/ext/4628660-senior-director-of-enterprise-data](https://www.wearedevelopers.com/jobs/ext/4628660-senior-director-of-enterprise-data). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Senior Director of Enterprise Data - **Company:** Affiliated Monitoring - **Location:** Union, NJ, United States - **Experience:** Expert - **Salary:** $275,000 - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, BigQuery, Information Engineering, Data Governance, Data Warehousing, Machine Learning, Operational Databases, Enterprise Data Management, Data Ingestion, Snowflake, Generative AI, Data Strategy, Data Management, Data Pipelines, Amazon Redshift, Databricks - **Published:** November 7, 2026 - **Apply:** https://www.thejobnetwork.com/job/8db0fc65-d6e2-4770-bfd2-5614dbd3c7d7/senior-director-of-enterprise-data ## About the Role * 12+ years of experience in data engineering, analytics, or data platforms, including 5+ years leading data organizations at the director level or above \n * Proven experience designing, building, and operating an enterprise data warehouse or lakehouse (e.g., Snowflake, BigQuery, Redshift, Databricks) \n * Deep understanding of data ingestion and integration patterns, including batch and streaming pipelines and orchestration tools \n * Track record delivering reporting and analytics at scale, including BI platforms and a governed metrics layer \n * Hands-on experience enabling AI and machine learning use cases with production data, including LLM-based applications \n * Strong grounding in data governance, security, privacy, and access control \n * Experience leading managers and blended onshore and offshore teams \n * Clear communicator who can translate data strategy and trade-offs for executives and non-technical stakeholders \n ## Description You will report to the Chief Technology Officer and own the enterprise data function end to end: the data warehouse, the teams responsible for ingestion, reporting and analytics, and the integration of our data into AI models. This is a build-and-lead role for someone who can set the strategy, stand up the foundation, and develop a team that keeps delivering on it.