Intel - Saint Paul, MN

posted 30 days ago

Full-time - Senior
Hybrid - Saint Paul, MN
Computer and Electronic Product Manufacturing

About the position

The Director, Senior Technical Data Services will lead the Data Management team with a focus on Technical Data Services. This strategic role requires expertise in data quality, governance, metadata management, and technical data architecture. The ideal candidate will manage complex data integration projects and geographical teams, driving data excellence across the enterprise.

Responsibilities

  • Collaborate with Data Quality and Data Governance Advisors to gather functional and technical specifications.
  • Oversee enterprise-wide data cleansing and data profiling activities to ensure data accuracy and consistency.
  • Lead the development and implementation of data quality and data governance platform solutions integration.
  • Own the IT Data Management Framework and Roadmap.
  • Manage and mentor Technical Architecture and Development Teams across various geographic locations.
  • Develop professionals' services SOWs and manage those SOW engagements with Service Provider Vendors.
  • Provide coaching to developers on industry best practices for data tool development.
  • Establish a robust Data Control Framework and create a comprehensive Developers Guide.
  • Serve as the solutions architect for data services, including Data Quality, Data Governance, Metadata Management, and Data Risk Management.
  • Develop and improve the Data Services Delivery process to scale with internal business demands.
  • Enhance the data architecture and data models for Data Quality and Data Governance platforms.
  • Define and oversee the AI/ML Data Lifecycle from acquisition to governance and monitoring.
  • Design standard callable data services APIs for data standardization and integration.
  • Formulate data standards for Data Quality, Data Governance, and Metadata Management.
  • Strategize and implement the Metadata ecosystem cataloging strategy.
  • Innovate data cataloging with AI-driven tagging techniques.
  • Hands-on expertise with Data Quality Tools, preferably Informatica, and Data Governance/Metadata tools, preferably Collibra or Informatica CDGC/Axon.
  • Experience with Artificial Intelligence/Machine Learning and familiarity with AI Data Lifecycle Acquisition and Curation.
  • Knowledge in designing and building Data Marketplaces and Data Governance UX.
  • Experience in Master Data Management and Reference Data Management.
  • Proficiency in developing Data Dashboards and designing KPI/Metrics.

Requirements

  • 10-12 years of experience in Data Management within global companies.
  • A proven track record of managing development, Data Operations, and Infrastructure Teams.
  • Bachelor's Degree or Master's in Computer Systems Management, Computer Engineering, Data Analytics, or Computer Architecture.

Nice-to-haves

  • Experience with Artificial Intelligence/Machine Learning and familiarity with AI Data Lifecycle Acquisition and Curation.
  • Knowledge in designing and building Data Marketplaces and Data Governance UX.

Benefits

  • Competitive pay
  • Stock options
  • Bonuses
  • Health benefits
  • Retirement plans
  • Vacation time
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