Director of Enterprise Data Strategy and Artificial Intelligence
About The Position
Advance data-driven decision-making, oversee business intelligence (BI) initiatives, and implement AI solutions to enhance business performance. Manage data teams, shape data strategies, and develop BI and AI-driven data analytics frameworks. Ensure data assets are effectively used to drive business value while aligning with Digital Transformation objectives. Collaborate with key business and technical stakeholders to ensure that architecture and governance principles align with organizational objectives. Provide vision and guidance to a team of architects to make optimal use of IT capabilities and technology investments. Provide thought leadership in domain-specific strategies, standards, and guidelines to define the Enterprise Architecture Target State, Blueprints and Roadmaps. Work with Business, Data leaders and Data Architects to review strategies, requirements, and solutions to assess the impact on data and information architecture to ensure consistency and traceability throughout the enterprise. Develop and execute a comprehensive enterprise Data, BI/BA, and AI strategy aligned with business goals. Drive data-driven culture across Manufacturing Operations, Supply Chain Management, Engineering, and Product Development. Establish Data Governance frameworks to ensure data accuracy, consistency, security, and compliance with industry regulations. Lead and mentor a team of Data Engineers, BI Analysts, and AI Architects, fostering innovation in manufacturing analytics. Drive the adoption of MLOps, DataOps, and Cloud-Native architectures to enhance scalability and efficiency. Continuously assess and enhance the organization’s AI and data capabilities. Ensure seamless integration of BI tools with existing enterprise systems for cross functional analytics. Work with external vendors, tech providers, and research institutions to drive best practices in manufacturing analytics. Develop and maintain Enterprise Architecture frameworks, approaches for data & analytics, architecture governance and tolling, domain leadership as part of the Enterprise Architecture Leadership Team.
Requirements
- Bachelor’s degree in Computer Science, Computer Engineering, or Computer Information Systems.
- Ten (10) years of experience as Enterprise Data Engineer / Architect, Cloud Engineer, Cloud Database Administrator, or Programmer / Analyst.
- Experience must have involved Data Science, Data Governance, Data Storage, Enterprise Architecture, and Artificial Intelligence using Bedrock, Redshift MySQL, Oracle, MS SQL Server, Azure, AWS, and IBM Cloud.
Responsibilities
- Advance data-driven decision-making
- Oversee business intelligence (BI) initiatives
- Implement AI solutions to enhance business performance
- Manage data teams and shape data strategies
- Develop BI and AI-driven data analytics frameworks
- Ensure data assets are effectively used to drive business value while aligning with Digital Transformation objectives
- Collaborate with key business and technical stakeholders to ensure that architecture and governance principles align with organizational objectives
- Provide vision and guidance to a team of architects to make optimal use of IT capabilities and technology investments
- Provide thought leadership in domain-specific strategies, standards, and guidelines to define the Enterprise Architecture Target State, Blueprints and Roadmaps
- Work with Business, Data leaders and Data Architects to review strategies, requirements, and solutions to assess the impact on data and information architecture to ensure consistency and traceability throughout the enterprise
- Develop and execute a comprehensive enterprise Data, BI/BA, and AI strategy aligned with business goals
- Drive data-driven culture across Manufacturing Operations, Supply Chain Management, Engineering, and Product Development
- Establish Data Governance frameworks to ensure data accuracy, consistency, security, and compliance with industry regulations
- Lead and mentor a team of Data Engineers, BI Analysts, and AI Architects, fostering innovation in manufacturing analytics
- Drive the adoption of MLOps, DataOps, and Cloud-Native architectures to enhance scalability and efficiency
- Continuously assess and enhance the organization’s AI and data capabilities
- Ensure seamless integration of BI tools with existing enterprise systems for cross functional analytics
- Work with external vendors, tech providers, and research institutions to drive best practices in manufacturing analytics
- Develop and maintain Enterprise Architecture frameworks, approaches for data & analytics, architecture governance and tolling, domain leadership as part of the Enterprise Architecture Leadership Team
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What This Job Offers
Job Type
Full-time
Career Level
Director
