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Director Nhl Data Science Jobs in Iowa (NOW HIRING)

Jobtailor

Director, Data Management

Des Moines, IA · On-site

$170 - $250/hr

Collaborate with analytics and data science teams to enable advanced analytics, AI/ML, and self-service data access * Prioritize and manage the enterprise data portfolio and align investments with ...

Kemin

Data Director

Des Moines, IA · On-site

Overview The Director of Data defines Kemin's enterprise data strategy and provides architectural ... Bachelors Degree in Data Science, Computer Science, or Analytics with 10+ years of related ...

Kemin

Data Director

Des Moines, IA

The Director of Data defines Kemin's enterprise data strategy and provides architectural direction ... Bachelors Degree in Data Science, Computer Science, or Analytics with 10+ years of related ...

Kemin

Data Director

Des Moines, IA · On-site

Overview The Director of Data defines Kemin's enterprise data strategy and provides architectural ... Bachelors Degree in Data Science, Computer Science, or Analytics with 10+ years of related ...

Kemin

Data Director

Des Moines, IA · On-site

$140 - $220/hr

Overview The Director of Data defines Kemin's enterprise data strategy and provides architectural ... Bachelors Degree in Data Science, Computer Science, or Analytics with 10+ years of related ...

State of Iowa

Data Analyst 1

Des Moines, IA · On-site

$63K - $98K/yr

Research Director The Iowa Department of Corrections Research Department is seeking a highly ... Possession of a professional certificate in data science, business analytics, or data analytics.

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Director, Data Management

Jobtailor

Des Moines, IA • On-site

$170 - $250/hr

Other

Posted 10 days ago

Job description

  • Define and own the enterprise data platform strategy, ensuring scalability, performance, and cloud optimization
  • Oversee migration from legacy Azure SQL Server systems to an Azure Databricks Lakehouse using medallion architecture
  • Lead and mentor data engineers and guide the onsite and remote data engineering team
  • Partner with enterprise data and solution architects on data models, pipelines, and platform design
  • Transform a fragmented data ecosystem into a single source of truth for insurance domains
  • Drive cloud-native engineering best practices, including ETL/ELT optimization, CI/CD, DevOps, cost efficiency, and observability
  • Ensure data availability, scalability, and reliability for analytics, reporting, and digital initiatives
  • Collaborate with analytics and data science teams to enable advanced analytics, AI/ML, and self-service data access
  • Prioritize and manage the enterprise data portfolio and align investments with business value and strategic initiatives
  • Manage budget, resourcing, and vendor relationships
  • Evolve the platform roadmap based on emerging technologies such as Databricks, streaming, and AI/ML
  • Own the Databricks platform and guide business users on Lakehouse adoption
  • Report to the Chief Data & Analytics Officer
Requirements
  • Expertise with Azure Data Services, including Data Lake, Data Factory, Synapse, Event Hub, and Key Vault
  • Ability to lead teams while defining enterprise platform strategy and technical roadmap
  • Excellent communication and leadership skills to influence technical and business stakeholders
  • Familiarity with DAMA/DMBOK practices and standards
  • Familiarity with streaming/real-time ingestion, including Kafka and Event Hub, required
  • 10+ years of experience in data engineering, architecture, or platform leadership
  • At least 5 years of team management experience
  • Insurance or financial services experience required
  • Proven success leading large-scale data modernization programs in Azure or similar cloud ecosystems using Databricks or Snowflake
  • Hands-on experience with Databricks Lakehouse, PySpark, Delta Lake, and Unity Catalog
  • Strong background in data modeling, ETL/ELT frameworks, and data warehousing
  • Experience with compliance regulations and handling PHI/PII data
  • Exposure to AI/ML and data science workloads in Databricks or Snowflake
  • Experience with DevOps and automation frameworks, including Azure DevOps, Terraform, and GitHub Actions
  • Bachelor's degree in computer science, business/data analytics, management information systems, information technology, or related field; combination of education and/or relevant work experience may be accepted in lieu of degree

Demonstrates expertise in defining and executing enterprise data platform strategies, with a strong focus on Azure Data Services, Databricks Lakehouse, and data modernization. Proven ability to lead teams, manage budgets, and drive cloud-native engineering best practices while ensuring data availability and compliance.

Highest-signal resume keywords
  • Azure Data Services
  • Databricks Lakehouse
  • Data Engineering Leadership
  • ETL/ELT Optimization
  • Insurance Domain Experience
ATS Optimization KeywordsHard Skills
  • Data Modeling
  • PySpark
  • Delta Lake
  • Unity Catalog
  • CI/CD
  • DevOps
  • ETL Frameworks
  • Data Warehousing
  • Streaming Ingestion
  • Compliance Regulations
Soft Skills
  • Leadership
  • Communication
  • Team Management
  • Stakeholder Influence
  • Collaboration
Industry Keywords
  • DAMA/DMBOK
  • Data Modernization
  • PHI/PII Data
  • Financial Services
  • Insurance
Tools & Technologies
  • Azure Databricks
  • Azure SQL Server
  • Azure Data Factory
  • Azure Synapse
  • Event Hub
  • Azure DevOps
  • Terraform
  • GitHub Actions
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