Cloud Data Manager

NAVA Software solutions is looking for a Cloud Data ManagerDetails:Cloud Data ManagerLocation: Houston TX - 3 days/week onsiteDuration: Full time /Direct HireSeeking 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 digitalstrategies, 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 & ResponsibilitiesResponsible for evaluating new Data Management capabilities and technologies to drive business results and innovation to propel the organization's Data and Digital strategiesAccountable 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 predictionsResponsible for conducting a comprehensive evaluation of the current data landscape to identify potential gaps in data management capabilities and formulate a roadmap for enhancementAccountable 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 innovationDevelop and evaluate design options to ingest and catalog real-time, structured, and unstructured data sets into Data Management environment per business priorities and use casesProvide input and influence teams focused on the data modernization and next generation data capabilitiesBuild and maintain reference architecture, design patterns, decision matrices, common information model and frameworks that drive operational efficienciesParticipates in risk review process and Architecture Review board to ensure data projects align with the organization's risk management and architecture standardsEnsure consistency of data systems, tools, and architectural best practices across the organization, driving adoption across our teams and systemsProactively identify opportunities for automation and continuous improvementsStays current with the latest trends, technologies, and best practices in data management, governance, and architectureCollaborate with cross-functional teams to ensure alignment between data architecture and overall IT and business strategiesEnsure consistency of data systems, tools, and architectural best practices across the organization, driving adoption across our teams and systemsExpertise in optimizing queries and performance by establishing standards to minimize system workload and costsExperience:5 or more years of experience with Cloud Platforms and Data Lake implementation to enable Data Science and Analytics capability5 or more years of experience in data architecture, and data management in an enterprise environment1 or more years of experience in designing, scaling and implementing data lake platform1 or more years of experience designing and implementing data ingestion techniques for real-time and batch processes into cloud based platformsKnowledge and Skills:Advanced knowledge of Data Management principles, processes and data lifecycleAdvanced level of proficiency in DevOps, including Agile development process, containers, and source code control systemsWork across structured, semi-structured, and unstructured data, with strong technical experience in large distributed systems, data warehousing, data lake at scaleAbility to take ownership, engage, lead change, achieve results, adapt, problem solve, manage risk and drive tasks to completionAbility to lead initiatives, multidisciplinary project teams, and influence stakeholder buy-inParticipate in strategy and planning sessions and be recognized as a capable team member that delivers valueExcellent oral and written communication skills; proven ability to represent point of view and discuss technical information with the business users in business languageTeam player, and self-driven individual who can multitask, work independently under minimal supervision and deliver on commitmentsExcellent analytical mind and proven problem-solving skillsDemonstrated leadership and people skills, with ability to engage at all levels of the organizationConfident in engaging all levels of the organization in communicating a data strategyAbility to influence others and drive change around data standards and best practicesDelivers positive results through realistic planning to accomplish goalsBuilds positive relationships based on trust and seeks collaboration across organizational boundaries to achieve goalsEducation:Bachelor's degree or higher in Computer Science, Engineering, Information Technology, Information Systems, related field, or foreign equivalent