10+ years of experience in data management and analytics, 5 years in a leadership role.
Proven ability to create and execute enterprise data strategies in AWS.
Skilled at transforming business goals into effective data infrastructure.
Knowledgeable in data governance, data modeling, data security, and master data management (MDM) using AWS and Denodo.
Experience with Industrial IoT and related Data Science applications.
Familiarity with the manufacturing domain, with a preference for IoT-related use case knowledge.
Responsibilities
Develop and implement a comprehensive data management and analytics strategy.
Oversee data governance policies and procedures to ensure data integrity and security.
Manage the full spectrum of data lifecycle activities to optimize data utilization.
Design and refine the organizational data architecture for scalability and efficiency in AWS.
Ensure compliance with data protection regulations and assess risks.
Evaluate and implement data management and analytics technologies and manage vendor relationships.
Collaborate with departments to align data strategy with organizational needs and changes.
Benefits
Opportunity to lead strategic data initiatives that impact the organization.
Work in a collaborative environment across various departments.
Exposure to cutting-edge technology and tools in data management.
Role that includes leadership and change management responsibilities.
Potential to influence data governance at an enterprise level.
Full Job Description
Job Description
Strategic Data Leadership: Develop and implement a comprehensive data management and analytics strategy that aligns with the organization's goals and delivers real-world impact
Data Governance: Oversee data modeling, master data management, data governance policies and procedures to ensure data integrity, quality, and security, planning for data backup, disaster recovery, and business continuity.
Data Lifecycle Management: Manage the full spectrum of data lifecycle activities, ensuring optimal data quality, storage, and utilization aligned with strategic goals.
Data Architecture: Oversee design and refine the organizational data framework, ensuring robust, scalable, and efficient data structures and integrations in AWS
Compliance and Risk Management: Ensure compliance with relevant data protection regulations and assess data-related risks.
Technology and Vendor Management: Evaluate and implement data management and analytics tools and technologies to optimize data processing and analysis. Manage relationships, engagements, contracts, and agreements with external vendors that provide technology solutions.
Collaboration: Work closely with various departments to understand their data needs and ensure that the data strategy supports these requirements, serving as the key liaison of the data function to the broader organization
Change Management: Lead and facilitate the implementation of data-related changes, ensuring smooth transitions and alignment with organizational goals.
Qualifications
A minimum of 10 years of experience in data management and analytics, with at least 5 years in a leadership role.
Relevant experience in creating and executing enterprise data strategy in AWS
Transforming business goals into data infrastructure
Experience in Data governance, Data modeling, Data security, Data strategy, MDM - AWS, Denodo
Experience in Industrial IoT and relevant Data Science use cases.
Knowledge in Manufacturing domain and good to have lighting or similar domain or IOT related use case knowledge.
