Cloud Data Manager

DM Clinical Research is seeking an experienced Cloud Data Manager to join our team responsible for leading the design and development of data as a product, in line with the company’s data strategy. The primary objective of the role is to bring together foundational components of data ecosystems to provide solutions that improve the architecture, quality and fidelity of the data consumed by business processes and analytics use cases.

The Cloud Data Manager will also lead strategic aspects of the data strategy and be responsible for the operational aspects of data management, especially regarding product development, decision-making, and team operations/development.

The Cloud Data Manager will lead a team of data analysts, responsible for implementing data projects while ensuring a high level of data quality based on corporate and industry standards. The team will also be responsible for developing and enforcing standards for data management and implementing data technology solutions for structured and unstructured datasets as well as data catalogs and data lineage to enhance visibility and access to data. As our organization is implementing a data modernization program along with data and digital

strategies, the Cloud Data Manager will play a key role in providing input and influence in our journey towards a strategic data organization. This role also requires a strong and current technology focus, hands-on practical design architecture experience, experience with integration and implementation of digital/ cloud technology and excellent written and communications skills.

Duties & Responsibilities

• Responsible for evaluating new Data Management capabilities and technologies to drive business results and innovation to propel the organization’s Data and Digital strategies
• Accountable for building an integrated data foundation that connects cross-functional data across the life cycles of our assets to provide a 360-degree view of data to deliver insights and predictions
• Responsible for conducting a comprehensive evaluation of the current data landscape to identify potential gaps in data management capabilities and formulate a roadmap for enhancement
• Accountable for the operationalization of new Data Management capabilities and tools and ensuring seamless integration with existing systems and processes (e.g. security, scalability, performance, reliability, FinOps, recovery etc.)
• Responsible for creating enterprise blueprint that tie together our business processes and workflows with data in a cohesive way that strengthens our capabilities, accelerates delivery, and promotes innovation
• Develop and evaluate design options to ingest and catalog real-time, structured, and unstructured data sets into Data Management environment per business priorities and use cases
• Provide input and influence teams focused on the data modernization and next generation data capabilities
• Build and maintain reference architecture, design patterns, decision matrices, common information model and frameworks that drive operational efficiencies
• Participates in risk review process and Architecture Review board to ensure data projects align with the organization’s risk management and architecture standards
• Ensure consistency of data systems, tools, and architectural best practices across the organization, driving adoption across our teams and systems
• Proactively identify opportunities for automation and continuous improvements
• Stays current with the latest trends, technologies, and best practices in data management, governance, and architecture
• Collaborate with cross-functional teams to ensure alignment between data architecture and overall IT and business strategies
• Ensure consistency of data systems, tools, and architectural best practices across the organization, driving adoption across our teams and systems
• Expertise in optimizing queries and performance by establishing standards to minimize system workload and costs
  
  

Knowledge & Experience

Education:

• Bachelor’s degree or higher in Computer Science, Engineering, Information Technology, Information Systems, related field, or foreign equivalent
  
  

Experience:

• 5 or more years of experience with Cloud Platforms and Data Lake implementation to enable Data Science and Analytics capability
• 5 or more years of experience in data architecture, and data management in an enterprise environment
• Legally authorized to work in the United States on a full-time basis for anyone other than current employer
• 1 or more years of experience in designing, scaling and implementing data lake platform
• 1 or more years of experience designing and implementing data ingestion techniques for real-time and batch processes into cloud based platforms
  
  

Credentials:

• N/A
  
  

Knowledge and Skills:

• Advanced knowledge of Data Management principles, processes and data lifecycle
• Advanced level of proficiency in DevOps, including Agile development process, containers, and source code control systems
• Work across structured, semi-structured, and unstructured data, with strong technical experience in large distributed systems, data warehousing, data lake at scale
• Ability to take ownership, engage, lead change, achieve results, adapt, problem solve, manage risk and drive tasks to completion
• Ability to lead initiatives, multidisciplinary project teams, and influence stakeholder buy-in
• Participate in strategy and planning sessions and be recognized as a capable team member that delivers value
• Excellent oral and written communication skills; proven ability to represent point of view and discuss technical information with the business users in business language
• Team player, and self-driven individual who can multitask, work independently under minimal supervision and deliver on commitments
• Excellent analytical mind and proven problem-solving skills
• Demonstrated leadership and people skills, with ability to engage at all levels of the organization
• Confident in engaging all levels of the organization in communicating a data strategy
• Ability to influence others and drive change around data standards and best practices
• Delivers positive results through realistic planning to accomplish goals
• Builds positive relationships based on trust and seeks collaboration across organizational boundaries to achieve goals
  
  

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