Director of Data and Enterprise Applications
$120,000–$150,000 year
Remote · New York City, New York, United States or US
Job Summary
The Director of Data and Enterprise Applications is responsible for overseeing the architecture, development, integration, and support of enterprise business applications and data platforms. Key responsibilities include leading the BI and data engineering teams, ensuring data integrity and accessibility, and driving digital transformation that aligns with organizational goals. The role requires expertise in data warehouses, BI tools, and modern data architecture, along with strong leadership and collaboration skills. The ideal candidate will have over 10 years in data engineering or analytics, including 5 years in a leadership capacity, and will be proficient in project management and communications.
Required Qualifications
- Bachelor’s degree in Computer Science, Information Systems, Data Analytics, or a related field
- 10+ years of experience in data engineering, BI, or data analytics, with 5+ years in a leadership role
- Strong experience with enterprise data warehouses, dimensional modeling, and ETL/ELT processes
- Hands-on experience with BI platforms (Power BI, Tableau, etc.)
- Proven track record of leading data teams and delivering enterprise-wide analytics solutions
- Excellent written and verbal communication skills
- Ability to diagnose and resolve technical issues
- Ability to manage projects, timelines, and budgets
- Ability to build and maintain strong relationships with business partners
- Strong teamwork and collaboration skills
- Understanding business principles and how IT solutions can drive value
- Ability to effectively train business users and present information
- Understanding relevant regulations and compliance standards, particularly in a healthcare environment
Desired Qualifications
- Experience in Agile, DevOps, or DataOps environments
- Familiarity with data cataloging and governance tools (e.g., Collibra, Alation, Informatica)
- Experience with cloud data platforms (e.g., Snowflake, Redshift, BigQuery, Azure)
- Experience with scripting and data languages: SQL, Python, etc.
- Relevant certifications (e.g., Snowflake Architect, Microsoft Data Platform, Tableau Certified Professional)
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